Overview
A global investment bank wanted to move its agentic AI systems from pilot projects into full production. The opportunity was clear — faster trading, sharper surveillance, quicker analysis. But one problem stood in the way: the bank couldn’t see or prove what its agents were doing, what they were producing, or how they were making decisions. Without independent, robust guardrails, regulators, compliance, operational risk, and security leaders all blocked the move to production.
AOIS Sentinel™, applying the 8D Governance Model™, provides those guardrails. By combining static, deterministic checks with semantic, AI-driven assessments, Sentinel delivered governance the bank and its regulators could trust. Within this model, the Deterministic dimension brings certainty - unbreakable rules that blocked prohibited actions before execution and captured every decision in tamper-proof logs.
The Challenge
The bank’s pilots showed promise, but moving to production was a different story. As the AI edged closer to making autonomous decisions in real time, the demands for governance became far greater. Regulations were complex, evolving, and unforgiving - and every stakeholder saw risks they couldn’t ignore:
- Compliance officers struggled to verify that AI outputs consistently met regulatory requirements.
- Operational risk teams lacked visibility into how decisions were being made, leaving accountability gaps.
- Security leaders feared uncontrolled execution, where AI might act faster than human oversight.
- Regulators expected robust guardrails, backed by due diligence, before any production approval.
Without certainty, transparency, and independent evidence, neither internal leaders nor external regulators were willing to let the bank scale beyond pilots.
The AOIS Solution
To break the deadlock, banks can turn to AOIS Sentinel™, the governance layer that applies the full 8D Governance Model™ across all agentic AI workflows. AOIS Sentinel™ provided the independent, robust guardrails that compliance, risk, security, and regulators all demanded.
It worked by combining two kinds of enforcement:
- Deterministic (static) checks — hard rules that cannot be bypassed, bringing certainty.
- Semantic (AI-driven) assessments - contextual reasoning that interprets intent, risk, and evolving conditions.
Together, these controls gave the bank the transparency and confidence it had been missing:
- Pre-execution enforcement: every AI action was checked before it could run.
- Real-time blocking: prohibited actions were stopped instantly.
- Tamper-proof records: every decision was logged in an immutable trail regulators could trust.
- Independent evidence: automated reports demonstrated governance without relying on the AI to explain itself.
With AOIS Sentinel™ in place, the bank can show - to its own teams and to regulators - that agentic AI could be governed with certainty, due diligence, and trust.
Outcomes
By applying the Deterministic dimension of certainty within the broader AOIS 8D Governance Model™, AOIS Sentinel™ shows how banks can move agentic AI safely from pilots to production. With independent, robust guardrails in place, the path becomes clear:
- Prohibited actions can be blocked before execution, preventing breaches rather than detecting them afterward.
- Audit preparation can be streamlined through tamper-proof logs and automated reporting.
- Compliance, risk, and security teams can sign off with confidence, supported by transparent oversight.
- Regulators can be provided with verifiable evidence of governance in action, building trust to scale responsibly.