WHERE AGENTIC AI BREAKS HERE
Inconsistent testing across product teams
Each team ships its agent on a different bar. The bank ends up with twelve assurance shapes and no portfolio-level view.
Behavioural drift over time
Agent behaviour shifts as underlying models update. Nobody catches it until a customer complaint or a regulator visit.
Audit-trail gaps under examiner pressure
A routine SREP or thematic review surfaces missing evidence. The review converts to a remediation order.
Every agent in the portfolio scored against the same evaluation standard
Pre-production testing applied uniformly, with 84+ jailbreak techniques and 67+ input validators as the standard gate.
Portfolio-level policy
versioning the model risk
function can defend
Tool-call gates, identity checks, and inline content controls applied consistently across every agent in production.
Continuous monitoring across the full agent estate
Behavioural drift, audit-trail gaps, and policy breaches surfaced per agent with root-cause analysis on every flag.
One audit surface for FCA, PRA, SEC, OCC, and EU AI Act review
Evidence packs generated per agent and per release, mapped to the regulatory framework the bank operates under.
One layer, every agent
Pre-production testing, runtime protection, and live monitoring applied uniformly across the bank's agent portfolio.
Sign-off without engineering bottlenecks
Model risk and compliance functions get the evidence they need to approve agents without slowing the roadmap.
Regulator engagement, not regulator defence
FCA, PRA, SEC, OCC, and EU AI Act reporting delivered as artefacts, not assembled retrospectively under examiner pressure.
One pattern, every workflow
The same assurance shape applied across credit, finance ops, service, treasury, and adjacent agent workflows.
