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Evidence, not opinions, on where AI belongs.

Working notes from the front line of process intelligence in regulated financial services. What we are learning from mapping real work, scoring it, and proving what the scores claim.

Case study4 min read

We ran our method on ourselves. Here is the map.

Before asking any client to trust a method for deciding where AI belongs, we pointed it at our own marketing. The first two stages openly: the map, and the scores. The full case study, including the build and the real numbers, is free to download.

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Regulatory27 Aug 2026 · 3 min

The EU AI Act enforcement era: operationalising your inventory

With the EU AI Act now under active enforcement, learn how financial firms can move from policy to an evidenced record of AI usage and compliance.

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Regulatory27 Aug 2026 · 3 min

The FCA Mills Review: Why agentic AI demands a new approach to operational oversight

The FCA's new AI-enabled supervisory model demands better operational clarity. Learn how to map your workflows to ensure compliance and control.

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Regulatory27 Aug 2026 · 2 min

Operational resilience: learning from the FCA observations

Review the FCA report on operational resilience and learn how to align your internal processes with supervisory expectations to ensure long-term stability.

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Regulatory27 Aug 2026 · 3 min

Scaling AI in financial services: The shift from pilot to production

The FCA is shifting focus to large-scale AI deployment. Learn why evidence-based mapping is critical for compliance and operational risk management.

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Regulatory27 Aug 2026 · 3 min

Frontier AI and the new era of regulatory accountability

Understand the impact of the new ESMA guidelines on frontier AI and how to build an evidenced AI governance strategy for your firm.

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Regulatory27 Aug 2026 · 3 min

Compliance in the age of the EU AI Act

Understand how the EU AI Act impacts your AI governance and how to evidence your decision-making processes with our structured four-week sprint.

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AI governance27 Aug 2026 · 3 min

Asset managers face AI risks: the need for evidence-led adoption

Asset managers face significant AI risks regarding data and operational gaps. Learn why evidenced process mapping is the key to secure AI adoption.

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Regulatory25 Aug 2026 · 3 min

AIFMD II and the new standard for management information in Ireland

How the transposition of AIFMD II affects Irish AIFMs, and the new requirements for management information records and operational transparency.

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Case study3 min

Deciding where AI belongs: the full case study

How PinpointProof mapped its own marketing, scored every step for AI and automation potential, and built a bespoke 28 feature platform in 7 working days.

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