CAIO Recruitment

UK Chief AI Officer (CAIO) Search — Senior AI Leadership Appointments at Financial Services Firms, Retail, Healthcare and Scaling Technology Firms

Exec Capital provides retained Chief AI Officer (CAIO) search across the UK senior AI leadership community — covering CAIO appointments at UK financial services firms (banks, insurers, asset managers managing AI deployment under FCA expectations and emerging AI regulatory frameworks), UK retail and consumer firms deploying AI across customer experience and operations, UK healthcare and life sciences firms applying AI to clinical and operational scenarios, scaling UK technology firms with AI-native or AI-augmented product offerings, and the wider UK firm community where senior AI strategy leadership has emerged as a strategic C-Suite tier role since 2022. The Chief AI Officer is a senior C-Suite tier role focused on the firm’s AI strategy, AI deployment governance, AI ethics and regulatory compliance, AI talent strategy, and the senior commercial dimensions of AI-led firm transformation. The role is structurally distinct from Chief Technology Officer appointments (broader engineering and technology infrastructure scope), Chief Information Officer appointments (IT and information systems scope), Chief Data Officer appointments (data strategy senior leadership distinct from AI deployment), and the Fractional CAIO delivery model covered separately for firms preferring fractional engagement.

UK CAIO appointments have grown materially since 2022 alongside the rapid maturation of senior AI strategy as a C-Suite priority across major UK sectors. The principal drivers include the broader generative AI deployment cycle since late 2022 (post the ChatGPT release in November 2022 and the subsequent enterprise AI deployment acceleration), the maturation of AI regulatory frameworks (the UK AI white paper of March 2023 and the regulator-led approach that followed it, the EU AI Act entering force in August 2024 with phased application that now runs to 2028 following the 2026 Digital Omnibus amendments, and the UK AI Safety Institute, renamed the AI Security Institute in February 2025), and the increasing recognition across UK firms that AI deployment requires senior C-Suite tier leadership rather than functional senior engineering or data leadership scope. Major UK firms appointing CAIOs since 2023 include UK financial services firms across major banks, insurers, and asset managers, UK retail and consumer firms deploying AI across customer experience and supply chain, UK healthcare firms applying AI to clinical operations and drug discovery, scaling UK SaaS firms with AI-native product offerings, and selected UK government departments establishing senior AI leadership.

Why CAIO search is different

CAIO search has three specific dimensions that distinguish it from broader senior technology recruitment. First, the role itself is genuinely different from senior CTO, senior CIO, and senior CDO roles. The CAIO holds C-Suite senior accountability for AI strategy specifically — covering AI deployment governance, AI ethics and regulatory compliance, AI model risk management, AI talent strategy and senior AI team building, AI technology stack architecture (LLM platform decisions, ML platform infrastructure, AI orchestration platforms), and the senior commercial dimensions of AI-led firm transformation. Senior CTO scope covers broader engineering and technology infrastructure; senior CDO scope covers data strategy distinct from AI deployment; senior CIO scope covers information systems and IT infrastructure. Search engagement that doesn’t articulate this seniority and scope distinction at the brief produces poorly-fitting shortlists where senior CTO or CDO candidates lack the specific AI strategy and AI governance capability the CAIO role requires.

Second, the regulatory framework for AI deployment has reshaped UK CAIO requirements materially since 2023. UK firms operate within an evolving AI regulatory framework including the UK government’s principles-based AI regulation approach (set out in the March 2023 AI White Paper and applied through existing regulators), the EU AI Act extraterritorial application where UK firms operate in EU markets (the AI Act entered force in August 2024 with phased application — banned practices from February 2025, general-purpose AI provisions from August 2025, transparency obligations from August 2026, and high-risk system requirements now deferred to December 2027 for stand-alone systems and August 2028 for AI embedded in regulated products), the FCA’s approach to AI for financial services firms, ICO guidance on AI and data protection, and sector-specific AI regulatory dimensions across regulated sectors. Senior CAIO scope at major UK firms includes the senior accountability for managing these regulatory requirements alongside the broader AI strategy dimensions. Third, the candidate pool for UK CAIO appointments operates with specific dimensions. The senior population of UK CAIOs at any given moment is small and well known across the principal UK sectors, with senior AI leadership candidates highly selective about lateral moves given the rapid pace of AI deployment, equity considerations at scaling firms, and the senior team relationship dimensions involved. At Exec Capital we run UK CAIO searches with the role specifics, regulatory framework, and candidate pool dynamics worked through carefully at the brief.

How CAIO Recruitment Works

A permanent Chief AI Officer search follows the same disciplined stages as any retained C-suite appointment, with extra weight on technical assessment and AI governance judgement. The table below sets out each stage and what you receive from us. We agree the timetable with you at briefing, because the right pace depends on how niche the brief is, how many stakeholders need to meet candidates, and whether your preferred candidates are serving notice or garden leave.

Stage	What happens	What you receive
1. Brief	We work through why the role exists now, who it reports to, which AI decisions it owns, the regulatory exposure (FCA, PRA, EU AI Act, ICO) and the package envelope.	A written role specification and candidate profile you sign off before we approach anyone.
2. Search	We map sitting CAIOs, Heads of AI, senior AI engineering leaders, consulting-side AI partners and returning international leaders, and approach them confidentially.	Progress updates on the market response, including any feedback on package or scope.
3. Shortlist	Candidates are interviewed by our team against the brief, with structured discussion of AI deployment decisions, governance frameworks and team building.	A shortlist with written assessments, motivations, notice position and package expectations.
4. Interviews	We run the interview schedule across the CEO, C-suite peers, the board or risk committee and, where useful, a technical or case-study session.	Interview guides, candidate briefings and debriefs after each round.
5. Offer	We test the offer with the candidate before it is made, cover base, bonus, long-term incentives or equity, notice and restrictive covenants, and take references.	A negotiated, accepted offer and completed referencing, including regulatory references at regulated firms.
6. Onboarding	We stay in contact through notice and the first months in role, and check in with both sides as the 90-day plan beds in.	Early warning on any issues and a point of contact for both the hiring manager and the new CAIO.

If you are still deciding whether the role should be permanent, interim or fractional, start with the brief anyway: part of the first conversation is testing whether a full-time Chief AI Officer is the right answer, or whether a Head of AI or a part-time CAIO would deliver what the business needs at this stage.

The Chief AI Officer Role — What It Covers

The Chief AI Officer at a UK firm holds C-Suite senior accountability for the firm’s AI strategy and AI function leadership. The role typically reports to the CEO or to a senior C-Suite peer (CTO, CDO, COO depending on firm structure) with material accountability to the Board for AI strategy, AI risk management, and AI regulatory compliance.

The principal CAIO functional responsibilities at major UK firms include the following.

AI strategy and AI deployment roadmap — owning the firm’s AI strategy across use case prioritisation, AI deployment roadmap planning, AI technology stack decisions (LLM provider relationships including OpenAI, Anthropic, Google, AWS Bedrock, Microsoft Azure AI; ML platform infrastructure including Databricks, Snowflake, Microsoft Fabric, AWS SageMaker, Google Vertex AI), and the wider strategic dimensions of AI deployment at scale.

AI governance and AI ethics framework — leading the firm’s AI governance framework across AI ethics principles, AI use case approval processes, AI model risk management, AI bias monitoring, AI explainability requirements, and the wider governance infrastructure that supports responsible AI deployment. AI governance has become particularly material at financial services firms, healthcare firms, and selected regulated sector firms where the AI deployment has direct consumer impact.

AI regulatory compliance — leading the firm’s AI regulatory compliance function across UK AI regulatory framework application (the UK government’s principles-based approach via existing regulators), EU AI Act compliance for UK firms with EU market operations (banned practices, general-purpose AI obligations, high-risk system requirements, transparency obligations), sector-specific AI guidance application (the FCA’s approach to AI at financial services firms, ICO AI guidance across all sectors), and the wider AI regulatory infrastructure. AI regulatory compliance frequently requires senior CAIO accountability for cross-functional implementation across AI engineering, legal, compliance, risk, and operations.

AI model risk management — at financial services firms specifically, leading AI model risk management infrastructure aligned with established model risk management frameworks (the PRA’s Supervisory Statement SS1/23 on model risk management principles for banks, first published in May 2023 and updated in April 2026, model risk frameworks at FCA-authorised firms, the broader BCBS guidance on model risk management). AI model risk management has emerged as one of the most operationally complex CAIO accountability dimensions at FS firms with material AI deployment.

AI technology stack architecture — leading firm investment in AI technology infrastructure across LLM platform relationships (OpenAI Enterprise, Anthropic API, Google Gemini, AWS Bedrock multi-model access, Microsoft Azure AI), ML platform infrastructure (the choice between hyperscaler-native ML platforms vs specialist platforms like Databricks), AI orchestration and agent platforms, AI evaluation and monitoring tools, and the wider AI technology stack supporting senior firm AI deployment.

Senior AI team leadership — leading the senior AI team typically including Head of AI Engineering or Head of ML Engineering, Head of AI Research where the firm operates a research function, Head of AI Product where AI is product-embedded, Head of AI Operations and AI Operations leadership, Head of AI Governance and AI Risk, and the wider senior AI team. Senior team management responsibilities include hiring decisions on senior AI leadership roles, performance management, talent retention strategy in a highly competitive UK senior AI talent market, and the broader leadership dimensions specific to running a senior AI function.

Senior business stakeholder engagement and Board reporting — engaging with senior business leaders across the firm on AI deployment opportunities, AI risk dimensions, regulatory AI requirements, and the broader strategic dimensions of senior AI function leadership. CAIO Board engagement typically extends to regular Board reporting on AI strategy and AI risk metrics, with senior CAIO accountability for AI risk reporting at firms with established AI risk management frameworks.

For a full breakdown of duties, reporting lines and person specification, see our Chief AI Officer job description. The CAIO role is still being defined at many firms, so the brief usually needs to settle three questions before search starts: does the CAIO own AI engineering delivery or only strategy and governance; does the CAIO hold budget for AI platforms or share it with the CTO; and does AI risk report through the CAIO or independently through the CRO.

CAIO vs CTO vs CDO vs Head of AI

The question we are asked most often at the start of a CAIO brief is whether the business needs a Chief AI Officer at all, or whether the work belongs with an existing technology or data leader. The titles overlap, and in smaller firms one person may cover two of them. The distinction that matters is accountability: who answers to the board for AI outcomes, AI risk and AI spend.

Role	Core accountability	Usual reporting line	Hire this role when
Chief AI Officer (CAIO)	Enterprise AI strategy, AI governance and policy, AI risk, use-case portfolio, AI talent and board reporting on AI.	CEO, with direct board or risk committee access.	AI is a board-level priority across several business units, or regulatory exposure means someone senior must own AI risk.
Chief Technology Officer (CTO)	Technology strategy, engineering, architecture, platforms and product delivery.	CEO.	The main need is engineering capacity and platform delivery, with AI one workstream among many.
Chief Data Officer (CDO)	Data strategy, data governance, data quality, data platforms and analytics.	CEO, COO or CFO.	Data foundations are not yet good enough to support AI, or data governance is the main regulatory concern.
Head of AI	Building and running AI and ML teams, model development and deployment.	CTO, CDO or CAIO.	The strategy is settled and the gap is hands-on delivery leadership below executive committee level.

In practice, many mid-sized firms hire a Head of AI first and appoint a CAIO once AI spend, AI risk or the number of business units using AI makes board-level ownership necessary. Larger and regulated firms often go straight to a CAIO because the board needs a single accountable executive. Where the business is AI-native, the CTO and CAIO roles may merge, and the brief should say so plainly. If the real gap is engineering leadership, our fractional CTO service may be a better first step than a CAIO.

UK Sector Context for CAIO Appointments

UK CAIO appointments operate across sectors with materially different role specifications, regulatory framework dimensions, and candidate pool characteristics.

Financial services CAIOs

UK financial services firms have materially expanded CAIO appointments since 2023. Major UK banks (HSBC, Barclays, Lloyds Banking Group, NatWest Group, Standard Chartered), UK insurers (Aviva, Direct Line, RSA, Admiral, Lloyd’s of London managing agents), UK asset managers (Schroders, M&G, Aberdeen / abrdn, Janus Henderson UK, Legal & General Investment Management, BlackRock UK), and UK wealth management firms operate with senior accountability for AI deployment governance, AI model risk management aligned with the PRA’s SS1/23 framework, the FCA’s expectations on AI, Consumer Duty AI dimensions where AI affects customer outcomes, and the wider senior AI leadership dimensions specific to FCA-authorised firms. There is no dedicated AI senior manager function under SMCR. A CAIO at an FCA-authorised firm carries personal regulatory accountability where they also hold an existing Senior Manager Function or where AI responsibilities sit within an approved senior manager’s statement of responsibilities; otherwise the role is usually assessed within the Certification Regime, with AI oversight resting with an approved senior manager.

Retail and consumer goods CAIOs

UK retail CAIOs at major UK retailers (Tesco, Sainsbury’s, Marks & Spencer, John Lewis Partnership, Next, Boots) and consumer goods firms (Unilever UK, Reckitt UK) operate with senior accountability for AI deployment across customer experience (recommendation engines, customer service AI, personalisation AI), supply chain AI (demand forecasting, inventory optimisation, logistics AI), and the wider commercial AI applications supporting retail performance. Retail CAIO scope typically combines AI strategy senior leadership with technical hands-on AI deployment capability appropriate to retail commercial scale.

Healthcare and life sciences CAIOs

UK healthcare CAIOs across national NHS bodies, the major NHS Trusts, the Department of Health and Social Care, and selected major UK private healthcare firms operate with senior accountability for clinical AI deployment, healthcare data AI applications, and the wider AI dimensions specific to UK healthcare operations. UK life sciences CAIOs at major UK pharma firms (GSK, AstraZeneca, Pfizer UK, Roche UK, Novartis UK) operate with senior accountability for drug discovery AI, clinical trial AI applications, regulatory submission AI, and the wider AI dimensions specific to pharmaceutical operations.

Scaling technology firm CAIOs

UK scaling technology firms with AI-native or AI-augmented product offerings — UK SaaS firms with embedded AI capabilities, UK fintech firms with AI-driven product features, UK marketplace firms with AI personalisation, UK B2B technology firms with AI-augmented offerings — increasingly use CAIO appointments to provide senior AI strategy leadership during scaling phases. Scaling firm CAIO scope typically combines AI strategy senior leadership with technical hands-on capability appropriate to firms with smaller-scale AI infrastructure than major-firm CAIO scope. Scaling firm CAIO appointments operate with material equity participation that frequently dominates total economic value at successful firm exits.

Government and public sector CAIOs

UK central government CAIOs across major UK government departments (Cabinet Office, Department for Science Innovation and Technology, HMRC, DWP, MoD) and selected UK public sector bodies operate with senior accountability for public sector AI strategy, cross-government AI initiatives, and the public-interest dimensions of senior AI leadership. The UK AI Security Institute (launched as the AI Safety Institute in November 2023 and renamed in February 2025) represents the principal UK government AI research and evaluation institution.

UK and EU AI Regulatory Framework

UK CAIOs operate within an evolving AI regulatory framework that has matured materially since 2023. Understanding the regulatory requirements is essential for senior search engagement design. The position below is as at November 2026.

UK AI regulatory approach — the UK government’s AI White Paper published in March 2023 set out a principles-based approach to AI regulation, with implementation through existing UK regulators (FCA, ICO, CMA, Ofcom, MHRA, HSE, EHRC) applying the AI principles within their existing regulatory remits. The five principles cover safety, security and robustness; appropriate transparency and explainability; fairness; accountability and governance; and contestability and redress. The government has indicated that it may legislate for the most powerful AI models, but as at November 2026 no UK AI Bill has been introduced, so the regulator-led approach remains the framework UK CAIOs work within.

EU AI Act extraterritorial application — the EU AI Act (Regulation (EU) 2024/1689) entered force in August 2024 with phased application providing materially extraterritorial implications for UK firms operating in EU markets. Banned practices and AI literacy duties became applicable from February 2025, general-purpose AI provisions from August 2025, and the Article 50 transparency obligations from August 2026. High-risk system requirements were originally due from August 2026, but the Digital Omnibus on AI (Regulation (EU) 2026/1744, in force since 27 July 2026) deferred them to 2 December 2027 for stand-alone high-risk systems such as AI used in recruitment or credit scoring, and to 2 August 2028 for AI embedded in regulated products such as medical devices and machinery. UK firms providing AI systems to EU users or operating in EU markets need to comply with applicable AI Act provisions, with associated implications for UK CAIO scope at firms with EU exposure.

The FCA’s approach to AI in financial services — the FCA has stated in AI and the FCA: our approach that it does not plan to introduce extra regulations for AI, and relies on existing frameworks including the Consumer Duty and SMCR. AI deployment at FCA-authorised firms therefore intersects with Consumer Duty obligations, SMCR personal accountability for senior managers, and the wider FCA regulatory framework. The FCA’s AI Lab (launched October 2024) includes AI Live Testing, with a first cohort in late 2025 and a second starting in April 2026, and in January 2026 the FCA launched the Mills Review into how AI could reshape retail financial services, including how senior manager accountability works where AI performs tasks people used to oversee.

PRA SS1/23 on model risk management — the PRA’s Supervisory Statement SS1/23 on model risk management principles for banks was published in May 2023 and took effect in May 2024; the current version took effect on 23 April 2026. It applies to UK banks, building societies and PRA-designated investment firms with internal model approval for regulatory capital, covers all model types regardless of technology, and includes a sub-principle on risks from AI and machine learning techniques. SS1/23 application requires senior accountability for AI model risk management infrastructure aligned with the supervisory framework, and other firms often use it as a reference point.

ICO AI guidance — the Information Commissioner’s Office has published comprehensive guidance on AI and data protection covering UK GDPR application to AI processing, automated decision-making provisions, AI model transparency, and the wider data protection dimensions of AI deployment. The Data (Use and Access) Act 2025 reformed the UK GDPR rules on automated decision-making, and the ICO consulted in 2026 on updated guidance on automated decision-making and profiling. ICO AI guidance applies across all UK sectors with senior CAIO accountability where AI processes personal data at scale.

UK AI Security Institute — the UK AI Security Institute (AISI), announced as the AI Safety Institute in November 2023 and renamed in February 2025, represents the UK’s principal government AI research and evaluation institution. AISI operates with focus on the security risks of advanced AI, AI evaluation methodology, and AI policy research. Major UK firms with frontier AI deployment increasingly engage with AISI research and evaluation output.

What this means for the hire — the regulatory position affects the CAIO brief in three practical ways. Firms selling AI-enabled products into the EU need a CAIO who can run an AI Act inventory and classification exercise, even though the high-risk deadlines have moved back. FCA-authorised firms need a CAIO who understands that AI accountability will be tested through the Consumer Duty and SMCR rather than a separate AI rulebook. And every firm processing personal data through AI needs a CAIO comfortable working alongside the DPO on data protection impact assessments and automated decision-making safeguards. We assess candidates against the regulatory exposure that applies to your business rather than a generic checklist.

Compensation Calibration at UK CAIO Level

UK CAIO compensation varies materially with firm scale, sector, and the specific senior accountability scope. The UK CAIO senior talent market is competitive, reflecting rapid demand growth and a limited senior candidate pool, and there is not yet a single reliable market rate for the title.

Many people searching for a Chief AI Officer salary are looking for one number. In our experience the honest answer is that CAIO pay sits in a wide band, because the same title covers very different jobs: a governance-focused CAIO at a regulated bank, a hands-on AI leader at a 150-person SaaS business, and a public sector AI lead constrained by civil service pay frameworks. Rather than quote unsourced figures, we set out below the factors that move a CAIO package, and we calibrate the envelope with you at the brief using live market feedback. Our technology salary guide covers pay across CTO, CIO, CISO and CAIO roles.

What drives a Chief AI Officer salary

Scope and seniority. The biggest single factor is whether the CAIO sits on the executive committee and owns budget, teams and AI platform decisions, or advises the business while delivery sits elsewhere. A CAIO who owns AI engineering, AI governance and the AI P&L impact is paid as a C-suite executive; a CAIO whose role is closer to a Head of AI with a broader title is paid accordingly.

Regulated or unregulated. CAIOs at FCA- or PRA-regulated firms carry more personal accountability, face more scrutiny from boards and regulators, and need model risk and Consumer Duty experience that fewer candidates have. That scarcity pushes packages up. Unregulated businesses can often access a wider pool, including strong candidates from technology firms and consultancies.

Equity and long-term incentives. At listed companies, long-term incentive plans form a meaningful share of the package. At private equity-backed businesses, management equity or sweet equity aligned to the exit plan is common. At venture-backed and scaling firms, options or growth shares may matter more to the candidate than base salary, and the size and vesting of the equity offer often decides whether a candidate moves.

Sector and AI maturity. Firms where AI is central to the product or to cost reduction at scale tend to pay more than firms where AI is one of several transformation programmes. Candidates also price in the risk of joining a business whose data foundations are weak, because that makes the job harder and slower to show results.

Location and working pattern. London-based roles and roles requiring full-time office attendance tend to price higher, while hybrid and regional roles can widen the pool. Interim and fractional CAIOs are paid on a day-rate basis, set by the length of the assignment and the days per week required.

Public sector constraints. Government and public sector CAIO roles operate within public sector pay frameworks, with bonus arrangements limited. Cash compensation is typically lower than private sector equivalents, but some senior candidates value the public-interest leadership and policy influence these roles offer.

Setting the package

We recommend agreeing the package envelope before search starts, testing it with the first candidates approached, and being ready to adjust if the market response says it is out of line. Buy-outs of unvested bonus or equity are common at this level and should be budgeted for. Notice periods and garden leave also affect start dates, so the timetable and the package need to be discussed together.

Permanent, Interim or Fractional: When to Hire a Chief AI Officer

This page covers permanent Chief AI Officer recruitment. Not every business that needs senior AI leadership needs a full-time, permanent CAIO, and choosing the wrong format is one of the most common reasons AI leadership hires disappoint. The table compares the options.

Format	Best for	Commitment	How it is paid
Permanent CAIO	Firms where AI is a lasting board priority, with a multi-year roadmap, a growing AI team and material AI risk.	Full-time employee on the executive committee.	Salary, bonus and long-term incentives or equity; retained search fee.
Interim CAIO	Covering a departure, standing up AI governance quickly, preparing for EU AI Act deadlines, or running an AI programme before a permanent hire. Also suits interim Head of AI cover.	Full-time or near full-time for a fixed period.	Agreed day rate for the assignment.
Fractional CAIO	Scale-ups and SMEs that need senior AI judgement, an AI policy and a use-case plan but cannot justify a full-time executive yet.	Typically one to three days a week on an ongoing basis.	Agreed day rate or monthly retainer.
Board or advisory role	Boards that need AI expertise in oversight and challenge rather than in management.	A set number of days a year.	Annual NED or advisory fee.

Other ways to hire a Chief AI Officer. If a full-time role is premature, our fractional Chief AI Officer service places experienced AI leaders for a few days a week, and our interim CAIO service provides full-time cover for a defined period. For AI expertise at board level, see our technology NED recruitment. Where the need is broader technology leadership, our interim CTO and CTO recruitment services may be a better fit. Many clients start with an interim or fractional CAIO and convert the role to permanent once the scope is proven.

What a Chief AI Officer Typically Delivers in the First 90 Days

A good CAIO does not arrive with a list of AI tools to buy. The first three months are about finding out what AI the business already uses, putting basic governance around it, and agreeing a short, prioritised portfolio of use cases with the executive team. The plan below is typical of what we see from successful appointments; the order and emphasis will vary with your sector and regulatory exposure.

Days 1–30: inventory and listening

• AI inventory. Build a register of every AI system and model in use or in development, including AI features inside third-party software, shadow use of generative AI tools by staff, and models built by data teams. For each, record the owner, purpose, data used and customer impact.
• Stakeholder interviews. Meet the CEO, CFO, CTO, CDO, CRO, General Counsel, DPO and business unit heads to understand what they expect from AI and where they see risk.
• Regulatory mapping. Identify which regimes apply: the EU AI Act for EU-facing products, the Consumer Duty and SMCR for FCA-authorised firms, SS1/23 for in-scope banks, UK GDPR and the ICO’s guidance for personal data.
• Team and supplier review. Assess the existing AI and data team, key vendor contracts and the AI platform choices already made.

Days 31–60: governance and policy

• AI policy. Publish an acceptable-use policy for generative AI and an AI governance policy covering approval, testing, monitoring and retirement of models.
• Governance forum. Set up an AI steering or risk committee with clear terms of reference, linking into the existing risk and audit committees rather than creating a parallel structure.
• Risk classification. Classify each system in the inventory by risk, flagging anything that could be prohibited or high-risk under the EU AI Act, or that makes automated decisions about customers or staff.
• Accountability. Agree who owns each high-risk use case, and at regulated firms make sure AI responsibilities are reflected in the relevant senior managers’ statements of responsibilities.

Days 61–90: use-case portfolio and roadmap

• Use-case portfolio. Score candidate use cases on value, feasibility, data readiness and risk, and agree a small number to fund first, with measurable outcomes.
• Quick wins. Deliver or unblock one or two use cases that show results inside the quarter, to build credibility with the business.
• Roadmap and budget. Present a 12 to 24 month AI roadmap to the board, covering platforms, hiring, data foundations, governance and expected benefits.
• Board reporting. Agree a regular AI dashboard for the board: inventory status, risk profile, incidents, use-case performance and regulatory deadlines.

We use this framework at the interview stage, asking shortlisted candidates to talk through how they would approach the first 90 days in your business. It is one of the clearest ways to separate candidates who have run an AI function from those who have advised on one. Our guide on how to hire a Chief AI Officer covers the interview process in more detail.

The CAIO Senior Candidate Pool

UK CAIO senior candidates typically reach the role through one of four principal career trajectories.

Sitting CAIOs at peer UK firms — the principal CAIO candidate pool consists of senior CAIOs currently at peer UK firms with comparable scale and sector context. The sitting CAIO candidate pool is concentrated and well-known across the UK senior AI leadership community, with senior CAIOs typically operating with established executive search firm relationships and selective lateral move consideration.

Senior AI leadership at major UK firms progressing to CAIO scope — senior Head of AI, senior Director of AI, senior VP AI, and senior AI engineering leadership candidates at major UK firms progressing to CAIO appointments at peer UK firms. This candidate pool brings deep technical AI capability and senior AI team leadership experience, with the senior career background appropriate for first-time CAIO appointments.

Senior consulting and advisory candidates with AI strategy experience — senior partners from major management consulting firms (McKinsey, Bain, BCG, Deloitte AI & Data, PwC AI, EY AI, KPMG AI) with prior AI strategy or senior AI advisory experience who transition to CAIO appointments at major UK firms. Consulting background candidates typically bring strong analytical capability, regulatory expertise, and senior advisory background that supports complex CAIO scenarios.

International senior AI leaders returning to UK roles — UK-trained senior AI leaders returning from major international AI roles (US technology firm AI leadership, major US AI lab senior roles, international AI advisory roles) who progress to senior CAIO appointments at UK firms. International repatriation candidates frequently bring extensive AI deployment experience at scale and the cross-cultural senior leadership capability that supports complex senior CAIO scenarios.

Each route brings different strengths and gaps. Sitting CAIOs bring proven governance experience but are the hardest to move. First-time CAIOs from Head of AI roles bring delivery depth but may need support on board reporting and regulatory engagement. Consulting candidates bring breadth and board presence but may not have run a large team or owned a budget. Returning international leaders bring scale but need to show they understand UK regulation. We tell you plainly where each shortlisted candidate sits against your brief.

Looking for Chief AI Officer jobs?

If you are a senior AI leader looking for CAIO jobs, Head of AI roles or interim and fractional AI leadership work, register with us through our candidate registration page and we will be in touch when a suitable mandate comes in. Current live roles are listed on our opportunities page. Many CAIO searches are confidential and are not advertised, so registering is the best way to be considered.

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How Exec Capital Approaches CAIO Search

UK CAIO search at Exec Capital follows a retained methodology calibrated to the specific dynamics of senior AI strategy leadership recruitment.

Brief development — initial work focuses on defining the firm’s specific CAIO requirement (sector context, firm scale, regulatory framework specifics including SMCR application where applicable), the AI function scope under the CAIO (AI strategy emphasis, AI governance emphasis, AI engineering leadership emphasis, AI regulatory compliance emphasis, balanced senior CAIO scope), the realistic compensation envelope including long-term incentive arrangements, and the candidate-fit dimensions specific to the firm’s senior team.

Senior candidate identification — UK CAIO candidate identification operates across sitting CAIOs at peer UK firms, senior AI leadership candidates progressing to CAIO scope, senior consulting candidates with AI strategy experience, and international senior AI leaders returning to UK roles. Coverage is structured by sector specialisation and senior career trajectory.

Technical capability and regulatory framework assessment — comprehensive evaluation of the candidate’s AI strategy and AI deployment capability, regulatory AI framework familiarity (UK AI principles, EU AI Act, the FCA’s approach to AI, PRA SS1/23 model risk framework, ICO AI guidance), AI technology stack experience, and the senior commercial dimensions specific to the role. Technical assessment frequently includes structured technical discussion of AI deployment decisions, AI governance framework implementation, and AI risk management approach.

Regulatory due diligence — at FCA-authorised firms where the CAIO holds a Senior Manager Function or a certification function, comprehensive regulatory due diligence covering the candidate’s prior SMF history where applicable, regulatory references from previous FCA-authorised firms, fit-and-proper assessment, and any regulatory or conduct issues that could affect FCA approval or certification at the receiving firm.

Interview process — typically 5-8 rounds across firm-internal stakeholders including CEO-led senior interview, peer C-Suite leader engagement (CTO, CIO, CDO, CRO, COO, Chief Compliance Officer), Board chair engagement, audit committee or risk committee engagement (where applicable), and senior AI team engagement. Interview process at major UK firms frequently includes structured AI strategy assessment alongside the standard senior interview rounds.

Offer construction and onboarding — at CAIO level offer construction frequently involves complex negotiation around base salary, bonus arrangements, long-term incentive plan participation, restrictive covenant cross-firm enforcement positioning, garden leave management (often 6-12 months at senior CAIO level), and tax structuring. Successful offer construction at CAIO level requires understanding of the candidate’s full economic position across cash, equity, deferred arrangements, and tax dimensions.

Every search is run by our specialist team, with Adrian Lawrence FCA overseeing each mandate. We are executive search specialists rather than AI consultants, which means our job is to find, assess and secure the right leader; we bring in technical assessors where a client wants an independent view of a candidate’s engineering depth.

Engagement and Fees

We agree the commercial terms with you before any search work starts, and set them out in our terms of business. We do not publish fee levels because they depend on the format, seniority and complexity of the appointment, but the structure is straightforward.

Retained search for permanent CAIOs. Permanent Chief AI Officer appointments are run on a retained basis. The fee is calculated with reference to the first-year package and paid in stages through the search, so that the work of mapping the market, approaching passive candidates and assessing them in depth is funded from the start. Retained search suits CAIO roles because most strong candidates are not actively looking and need to be approached confidentially.

Contingent recruitment. Contingent terms, where a fee is paid only on placement, are better suited to roles below executive level with an active candidate market. We will tell you honestly if we think your CAIO brief could be filled that way. Our guide to retained vs contingent executive search explains the differences.

Day-rate basis for interim and fractional CAIOs. Interim and fractional appointments are charged on an agreed day rate for the days worked, with our margin included in the rate. There is no separate search fee for most interim and fractional placements, and the rate is agreed with you before the candidate starts.

What is included. A retained CAIO search includes the brief and role specification, market mapping, confidential approaches, first-stage interviews and written assessments by our team, shortlist presentation, interview management, referencing (including regulatory references at regulated firms), offer negotiation and contact through notice period and onboarding.

Who We Place

We place Chief AI Officers and senior AI leaders with a wide range of UK organisations. Typical clients include:

• FCA- and PRA-regulated firms — banks, building societies, insurers, Lloyd’s market businesses, asset and wealth managers, payments and fintech firms that need AI leadership with model risk, Consumer Duty and SMCR awareness.
• Private equity-backed businesses — portfolio companies where investors want AI-led efficiency or product improvement built into the value creation plan ahead of exit.
• Listed companies — groups where the board wants a single accountable executive for AI strategy, AI risk and disclosure.
• Scaling technology and SaaS businesses — firms with AI in the product that need senior leadership to scale it responsibly and explain it to customers and investors.
• Healthcare and life sciences — providers, healthtech firms and pharmaceutical businesses applying AI to clinical, research and operational work.
• Retail, consumer and services businesses — firms using AI for personalisation, pricing, forecasting, customer service and supply chain.
• Public sector and not-for-profit organisations — bodies building AI strategy within public accountability and procurement rules.

Alongside CAIOs we recruit the AI leadership layer beneath them, including Heads of AI, Heads of AI Governance, Heads of ML Engineering and AI product leaders, through our AI executive recruitment practice. For regulated businesses, our financial services executive search team works alongside the technology practice so that AI candidates are assessed against regulatory expectations as well as technical ones.

Frequently Asked Questions

What does a Chief AI Officer do?

A Chief AI Officer owns a firm’s AI strategy, AI governance and AI risk. In practice the CAIO role covers keeping an inventory of AI in use, setting AI policy, choosing which use cases to fund, overseeing AI platforms and suppliers, building the AI team and reporting to the board on AI performance and risk.

How much does a Chief AI Officer earn in the UK?

There is no single market rate. A Chief AI Officer salary depends on scope (whether the CAIO owns budget and teams), whether the firm is regulated, the equity or long-term incentive on offer, sector, location and the size of the AI programme. Our technology salary guide covers pay across senior technology roles, and we calibrate the package with you at the brief.

What is the difference between a CAIO, a CTO and a Head of AI?

The CTO owns technology and engineering as a whole. A Head of AI runs AI and ML delivery teams. The CAIO is the executive accountable to the board for AI strategy, AI governance and AI risk across the whole business. Smaller firms often start with a Head of AI and appoint a CAIO later.

Does my business need a Chief AI Officer?

You are likely to need a CAIO if AI is a board priority across several parts of the business, if AI affects customer outcomes in a regulated activity, or if no single executive currently owns AI risk. If you need senior AI judgement but not a full-time executive, a fractional or interim CAIO is usually the better first step.

Should we hire a permanent, interim or fractional CAIO?

Hire permanently when AI is a lasting board priority with a multi-year roadmap. Choose interim when you need full-time cover or a fixed programme delivered, such as AI governance set-up or EU AI Act readiness. Choose fractional when you need senior AI leadership one to three days a week.

How long does a Chief AI Officer search take?

It depends on how specialist the brief is, how many stakeholders interview, and the notice periods of the preferred candidates, which at this level are often several months. We agree the timetable with you at briefing and keep you updated on the market response throughout.

Does the EU AI Act apply to UK businesses?

Yes, where a UK business places AI systems on the EU market, deploys AI in the EU, or uses AI whose output is used in the EU. UK businesses selling AI-enabled products or services into the EU should assume parts of the Act apply and need someone senior to own compliance.

When do the EU AI Act high-risk rules apply?

Following the Digital Omnibus on AI (Regulation (EU) 2026/1744), the high-risk requirements for stand-alone systems, such as AI used in recruitment or credit scoring, apply from 2 December 2027, and those for AI embedded in regulated products apply from 2 August 2028. Prohibitions have applied since February 2025, general-purpose AI rules since August 2025 and transparency obligations since August 2026.

Is the Chief AI Officer a senior manager function under SMCR?

No. There is no dedicated AI senior manager function. The FCA relies on the existing SMCR and Consumer Duty to hold senior managers accountable for the safe use of AI, so a CAIO at a regulated firm may need approval only if they also hold an existing SMF; otherwise AI responsibilities usually sit with an approved senior manager and the CAIO is typically within the Certification Regime.

Is there a UK AI Act?

Not as at November 2026. The UK regulates AI through existing regulators, including the FCA, ICO, CMA and MHRA, applying the principles from the 2023 AI White Paper. The government has indicated it may legislate for the most powerful AI models, but no AI Bill has been introduced.