This week’s stories reveal a finance sector caught between accelerating AI deployment and a governance gap that regulators on both sides of the Atlantic are scrambling to close. The UK’s Treasury Committee has forced the Bank of England and FCA into public commitments on AI stress-testing and critical third-party oversight, while the US Treasury has launched its own public-private AI innovation programme for financial stability. Underneath the regulatory noise, AI-native insurtech and London Market underwriting technology continue to attract serious capital, signalling that practitioners are not waiting for policy to catch up.
Top story: The Bank of England has confirmed it will test AI agents in live financial trading markets, a first for a major central bank, following sustained parliamentary pressure over the UK financial system’s AI preparedness.
Bank of England to Test AI Agents in Live Trading Markets
UK Parliament Treasury Committee · Regulation
The Bank of England has confirmed plans to test AI agents directly in financial trading markets, disclosed in its formal response to the House of Commons Treasury Committee’s report on AI in financial services. The move follows the Committee’s damning January 2026 verdict that the BoE, FCA and HM Treasury were exposing consumers to ‘potentially serious harm’ through a ‘wait-and-see’ approach — with more than 75% of UK financial services firms already using AI, with the largest take-up among insurers and international banks. The BoE also committed to AI-specific stress-testing and confirmed the Financial Policy Committee will monitor HM Treasury’s still-delayed use of the Critical Third Parties Regime to bring major AI and cloud providers under formal oversight.
US Treasury Launches Public-Private AI Innovation Series for Financial Stability
US Department of the Treasury · Strategy
The US Treasury’s Financial Stability Oversight Council (FSOC) and its new AI Transformation Office (AITO) have launched a formal AI Innovation Series — a set of structured roundtables bringing together banks, insurers, fintechs and regulators to identify high-value AI use cases and scaling approaches. Treasury Secretary Scott Bessent framed AI leadership explicitly as a matter of national economic security, marking a deliberate pivot away from constraint-focused regulation toward treating failure to adopt AI as a risk in itself. The initiative directly informs regulatory policy under the Administration’s AI Action Plan and signals that US financial regulators are moving toward actively facilitating AI adoption rather than managing it at arm’s length.
Artificial Labs Closes £35m Series B to Expand London Market AI
FinTech Global · Finance
UK-based Artificial Labs, which builds AI-powered digital broking and underwriting technology for specialty and commercial insurance, closed a $45m Series B round led by CommerzVentures, with participation from Augmentum Fintech and existing backers. The company plans to double in size over the next 12 months and expand into the US market while consolidating its position in the London Market. The raise reflects sustained investor appetite for AI infrastructure targeting the Lloyd’s and specialty insurance sector, where manual underwriting workflows remain a significant efficiency drag and AI-native platforms are beginning to win large broker and carrier mandates.
https://fintech.global/2026/03/06/insurtech-funding-tops-1bn-in-february-as-ai-investment-surges/
EU AI Act High-Risk Deadline Hits Finance in Five Weeks
Matproof · Regulation
With the EU AI Act’s high-risk provisions applying from 2 August 2026, fintech and financial services firms have weeks to complete conformity assessments for AI systems used in credit scoring, loan approval, insurance risk pricing and biometric verification — all explicitly classified as high-risk under Annex III. Firms subject to both DORA and the AI Act face a dual compliance challenge, with fines reaching €35 million or 7% of global turnover for non-compliance, and fraud detection AI sitting in a grey zone that regulators have not yet fully clarified. Practitioners are advised to integrate AI Act requirements into their existing DORA risk management framework rather than building standalone programmes, as overlapping obligations on documentation, testing and incident reporting create natural synergies.
Lloyds Banking Group Targets £100m AI Value Through Agentic Deployment
World Economic Forum · Strategy
Lloyds Banking Group has committed to enterprise-wide deployment of agentic AI in 2026, targeting £100 million in value creation by automating fraud investigations and complex customer complaints — routing routine cases to AI while preserving human staff for nuanced escalations. The announcement, flagged in the World Economic Forum’s finance roundup, reflects a broader industry shift from AI ‘assistance’ to ‘transactional authority’, with Goldman Sachs simultaneously developing autonomous agents powered by Anthropic’s Claude to handle trade accounting and client onboarding. For practitioners, the Lloyds case represents one of the most concrete public ROI targets yet attached to an agentic AI deployment at a major UK retail bank.