Operate · AI Assurance
AI doesn’t stay good by itself. Data drifts, behaviour shifts, regulation tightens, and yesterday’s evaluation quietly stops being true. AI Assurance is the continuous service that monitors, tests and evidences your production AI — so you know it’s working, can prove it’s compliant, and hear about problems from us, not from an incident.
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Why AI Assurance
Most organisations now have AI principles. Far fewer can answer the operational questions: is the model still accurate this month? Has behaviour drifted since the last release? Where is the evidence pack when the auditor, regulator or board asks? Point-in-time reviews age fast; assurance has to be continuous.
Our AI Assurance service is the operational counterpart to governance: models and agents onboarded to continuous monitoring, tested on a defined cadence, checked for drift and bias, and documented in an always-current evidence pack — with defined incident response when something moves out of tolerance.
We present the same work in the language each stakeholder needs — commercial for the boardroom, plan-ready for the programme, technical for the architecture.
For the CXO
A standing answer to “is our AI working and compliant?” — with evidence maintained continuously and a service you can point regulators and auditors to.For the Programme Manager
Monitoring, testing cadence and incident response run as a managed service with SLAs — the post-go-live obligations handled, visibly.For the Solution Architect
Consistent instrumentation, evaluation harnesses and drift detection across the AI estate — assurance as a platform capability, not a per-model afterthought.Six continuous disciplines across your production AI estate.
Talk to our Oracle EBS experts today
Every engagement is scoped around a defined set of deliverables agreed at the outset.
AI and analytics are only as good as the enterprise data beneath them. That data is our home ground.
Each AI system onboarded once, then assured continuously.
Each model or agent documented, instrumented and baselined — tolerances, test suites and evidence requirements agreed.
Live monitoring against tolerances with alerting — behaviour, performance, cost and usage visible at all times.
Scheduled drift, performance and bias testing per system, proportionate to its risk tier.
Regular assurance reporting to owners and governance forums — with findings driving fixes, recalibration or recertification.
AI Assurance connects naturally with these services across our Data & AI portfolio.
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