New Whitepaper Release: From Digital Transformation to Agentic AI Governance
News and information from the Advent IM team.
- by Olivia Lawlor-Blackburn
- Advent IM Blog General
Free to download — no sign‑up required
The rapid rise of agentic AI is reshaping the way financial services operate, make decisions, and manage risk. But with autonomy comes a new governance challenge: how do firms stay in control when systems can act, not just assist?
From Digital Transformation to Agentic AI Governance: Operational Control, Conduct Outcomes, and Regulatory Readiness for Intelligent Systems in Financial Services,
written by Ellie Hurst, Director – Commercial at Advent IM.
And because good governance should never sit behind a form, the full paper is free to download with no registration required.
Why this whitepaper matters
Agentic AI is no longer a future concern — it’s already emerging across UK financial services in credit, underwriting, fraud operations, customer communications, and workflow automation. While it offers transformational efficiency, it also introduces:
- New forms of consumer harm risk
- System‑level behaviours that are harder to monitor
- Governance challenges around explainability and accountability
- Increased dependency on third‑party models and orchestration layers
- Security risks from tool‑use, prompts, and privilege boundaries
Regulators, too, are raising expectations. With DORA now active, the EU AI Act rolling out, and the FCA sharpening its focus on autonomy and conduct risk, firms need governance models that scale with intelligent systems — not frameworks designed for static software.
What you’ll learn in the whitepaper
Ellie examines the shift from traditional digital transformation to the emerging era of autonomous operational agents, covering:
✔ The rise of agentic AI in financial services
Where autonomy is already being deployed across credit journeys, underwriting workflows, fraud triage, customer vulnerability handling, and operations.
✔ Why explainability, trust and accountability will define future winners
How firms can evidence decisions, maintain human accountability under SM&CR, and avoid ‘confidently wrong’ automation at scale.
✔ The new risk landscape for autonomous systems
From consumer harm to systemic concentration risk, including governance challenges created by fast, tool‑using AI.
✔ Regulatory readiness: DORA, the EU AI Act, SM&CR, Consumer Duty & beyond
A practical view of how existing frameworks must extend “up the stack” to cover intelligent systems.
✔ A practical governance blueprint
Actionable controls, design patterns, and operational artefacts — including authority models, tool‑use constraints, traceability, monitoring, and safe‑degradation mechanisms.
✔ A 90‑day to 24‑month implementation roadmap
Concrete steps for financial services leaders to adopt autonomy safely and at scale.
Who should read it?
This whitepaper is designed for:
- Boards and Senior Managers
- Risk, Compliance & GRC leaders
- Heads of Credit, Underwriting & Operations
- Technology, Change and Innovation leaders
- Anyone preparing agentic AI for regulated environments
📄 Download the Whitepaper (Free, No Sign‑Up Required)
👉 Click here to download From Digital Transformation to Agentic AI Governance (PDF)