Elemi Atigolo
Financial firms are under pressure to put generative and agentic AI into regulated work without breaching rules, losing trust, or building tools advisers ignore. Most boards can describe the opportunity; far fewer can describe the operating model, the controls, or where an agent stops helping and becomes a liability. The gap between AI ambition and deployment that creates value without eroding the business model is where most programmes stall.
Elemi Atigolo is an AI technologist and former wealth manager who helps financial services boards put generative and agentic AI into regulated work, and understand what it does to their business model.
Full Profile
Why organisations work with Elemi Atigolo
- He has put a generative AI product through UK financial regulation. Finley AI worked with the FCA Advice Unit on guidance models before evolving into an agentic financial AI agent that institutions integrate by API, which gives him a reference point on supervision and compliance that few AI speakers hold.
- He has handled the work he now advises on. A wealth manager at HSBC and a partner at St. James’s Place before he co-founded City Wharf Private Wealth, he has dealt with client suitability and adviser workflow first-hand.
- His thinking is on the record. His 2026 paper on the Agentic Profit Paradox sets out how agentic AI can improve client outcomes while weakening the human-bounded revenue that funds a firm’s margins, which reframes AI from an efficiency question into a question about the business model itself.
- He works at executive level, not only with technology teams. At Consult Venture Partners he advises boards on where generative and agentic AI changes the operating model and the economics, a conversation that needs someone who has carried both commercial and regulatory responsibility.
Biography highlights
- Managing Partner and co-founder of Consult Venture Partners, advising boards on generative and agentic AI adoption.
- Founder of the Autonomy Economics framework and author of the 2026 paper “The Agentic Profit Paradox and the Reorganisation of Value Capture”.
- Co-founder of INATIGO (WealthTech100 2024, selected by FinTech Global from 1,300 companies) and lead developer of Finley AI, now an agentic financial AI agent delivered by API, which engaged the FCA Advice Unit on guidance models.
- Former HSBC Wealth Manager and former partner at St. James’s Place; co-founder of City Wharf Private Wealth, Highly Commended for Most Innovative Wealth Management Model at the 2021 WealthBriefing European Awards.
- Member of the Forbes Advisor Advisory Board (since October 2024) and the MIT Technology Review Global Insights Panel; named in the Powerlist Top 30 Tech Titans 2021 for Fintech and Data (Refinitiv/LSEG) and a UK FinTech Awards “Innovator of the Year” finalist.
- Contributor to FT Adviser and The Banker; featured by The Wall Street Journal, the Financial Times, BBC, CNBC Africa, IBM, and Wealth Adviser; speaker at an Economist Impact summit (2023). Holds a BSc in Computer Science and Distributed Information Systems and an MA in Accounting and Finance.
Biography
Finley AI went through the UK Financial Conduct Authority’s Advice Unit before most banks had written an AI policy. Built by INATIGO, the company Atigolo co-founded, it began in 2019 as a conversational assistant. It now runs as an agentic financial AI agent that institutions integrate by API. That history anchors his work, at the point where AI in finance meets supervision and the realities of client suitability.
His route into AI is unusual. He managed client portfolios at HSBC, became a partner at St. James’s Place, and co-founded City Wharf Private Wealth, a digital wealth firm recognised at the 2021 WealthBriefing European Awards. He has sat on both sides of the client relationship and the technology that now reshapes it.
His current research turns that experience into an argument. In a 2026 paper he set out the Agentic Profit Paradox: firms adopt agentic AI to stay competitive, and in doing so erode the human-bounded revenue that produced their margins. He calls the wider field Autonomy Economics, the study of how value capture and commercial defensibility shift once work no longer needs continuous human direction.
For a board, the question is rarely what AI can do, and almost always what to build, what to buy, what to govern, and what it does to the business model. Through Consult Venture Partners, where he is Managing Partner, Atigolo answers it as someone who has both written the models and signed the client suitability forms.
Key speaking topics
- Generative AI in financial services
- AI agents and conversational interfaces in wealth management
- AI, regulation, and the FCA
- AI product strategy for regulated firms
- Client experience and adviser workflow in an AI-enabled firm
- Fintech innovation and WealthTech
- AI adoption for finance leaders
Ideal for
- CEOs, COOs, and boards in banking, wealth, asset management, insurance, and private capital setting AI strategy
- Chief Technology, Data, and AI Officers scoping generative and agentic AI deployment in regulated environments
- Heads of Advice, Distribution, and Client Experience reworking the adviser-client model
- Compliance, risk, and regulatory leads assessing AI governance, and executives weighing what autonomous systems do to margins and operating models
Audience outcomes
- A clear view of where generative and agentic AI is already viable in regulated financial services, and where it is not
- A working vocabulary for AI agents, conversational interfaces, and the governance questions behind them
- A sharper read on what the FCA and comparable regulators expect when AI touches client guidance
- A realistic picture of what changes for advisers, clients, and operating models when AI moves from pilot to live
- A view of how agentic AI can strengthen client outcomes while undermining the revenue that historically funded them, and what that means for strategy
Talks
A keynote on how banks, wealth managers, asset managers, insurers, and private capital firms can put generative and agentic AI into regulated work that creates value, while holding governance, trust, and supervisory control.
Key takeaways:
- Where generative and agentic AI is already viable in regulated financial services, and where it is not
- How boards and executive teams should weigh value, risk, and deployment at institutional scale
- What changes when AI moves from pilots into adviser, investment, operational, and decision workflows
- The failure modes that stop AI programmes scaling, and how to sequence adoption to avoid them
A keynote on how agentic AI can change the economics of a financial firm, raising autonomous capability while pressuring the revenue models, margins, and defensibility the business was built on.
Key takeaways:
- Why agentic AI is a structural change in how financial institutions create and capture value, beyond any productivity gain
- How autonomous systems can alter margins, pricing power, and revenue durability
- Where firms can create value for clients while weakening parts of their existing commercial model
- How leaders can rebuild strategy around defensibility as autonomous capability erodes it
A talk on how financial services leaders move generative and agentic AI from experiment into governed deployment that creates value at institutional scale.
Key takeaways:
- How to sequence AI adoption across advice, investment, operations, and decision support
- What governance and oversight need to look like when AI touches regulated workflows
- How to define the operating model before scaling AI across the organisation
- How to bring boards, advisers, clients, and regulators through the change
A session on how conversational and agentic AI are reshaping the adviser-client relationship, from first engagement through ongoing guidance, suitability, and service.
Key takeaways:
- What AI agents can and cannot do in a regulated client journey
- How adviser workflows change when AI supports research, preparation, client communication, and ongoing service
- Where personalisation, privacy, suitability, and supervision meet in practice
- How firms can improve client experience without losing the human trust layer
A talk on how AI can support finance professionals across research, client preparation, portfolio work, and decision support.
Key takeaways:
- How AI can improve adviser and investment team productivity without hollowing out professional judgement
- What new workflows finance teams need to build around AI-supported research and decision-making
- How to build trust in AI outputs across regulated teams
- Where human expertise stays essential when autonomous systems enter financial workflows
An executive keynote on the decisions boards and senior leaders need to take before deploying generative and agentic AI across regulated financial institutions.
Key takeaways:
- The AI decisions that come before technology selection
- How to govern AI across strategy, risk, compliance, and client-facing work
- How to measure AI value beyond cost reduction
- How to tell where AI creates value, where it creates liability, and where it changes the business model
A keynote on how the next wave of fintech is moving from digital products and automation toward agentic systems that can research, reason, and act inside complex financial workflows.
Key takeaways:
- How AI-native fintech is changing product design in financial services
- What the shift from conversational AI to agentic financial AI means for incumbents and challengers
- How buyers should assess build, buy, and partner choices in the AI fintech market
- Where the next defensible fintech propositions are likely to emerge