One governed Claude approach, applied where three different parts of the bank feel it most.
Four numbers on most BFS operating committee agendas this year.
EU AI Act obligations for high-risk credit, lending, and AML systems are now in force. Penalties reach 7% of global annual turnover.
Estimated annual industry cost of duplicated, bank by bank post-trade control infrastructure across Tier 1 dealers.
Share of BFS firms exploring agentic AI versus the share that have actually reached full-scale production.
Share of a fundamental analyst’s day spent on ingestion and formatting instead of research and judgment.
The institutions ahead of this aren’t running more pilots. They’re taking one function where the operational cost is highest and the work is least differentiating, and moving it to a governed, production agentic workflow.
NewRocket builds that governed pipeline. Anthropic’s Claude powers the reasoning. The bank keeps the data, the risk ownership, and the final decision, every step of the way.
Highest cost, lowest differentiation.
Guardrails first, not bolted on after.
One workflow validated before the next.
Same architecture, same guardrails, applied where you feel it most.
Agentic workflows replace manual intent development, testing, and integration steps.
See the Contact Center approachEach bank’s Claude agent negotiates directly with a counterparty’s agent to resolve breaks.
See the Agentic Post Trade approachA dedicated engineer builds analyst-validated workflows inside the pod’s own information barrier.
See the Buy Side approachBuilt by a Field CTO for Banking & Financial Services, not a generalist AI practice applying a template.
Data segregation, read-only access, and human escalation are structural, not contract language layered on after.
Agentic platform builds, bilateral inter-bank protocols, and embedded FDE teams, all under one BFS-native practice.
Most firms have piloted AI. Very few have gotten it into governed production. That gap is the whole practice.
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