Evaluation design
Measure task success, grounding and failure behavior against representative datasets.
Services / Governance & Security
AI Governance, Evaluation & Security
Define AI ownership, evaluate system behavior and test security boundaries before release and throughout operation. Work with an engineering team based in India, serving organizations internationally. We scope deployment, access, delivery responsibilities and support around your operating environment.
[ The buyer problem ]
You need evidence to decide whether an AI system is ready.
AI quality and risk change with models, prompts, data and tools. A reviewable control framework needs representative test sets, release thresholds and accountable owners.
Adversarial testing
Assess prompt injection, data exposure and unauthorized tool actions within agreed scope.
Governance controls
Define system inventories, owners, review points and change approval.
Vendor assessment
Map provider terms, data handling and operational dependencies for procurement review.
[ Scope & deliverables ]
What an engagement can include.
Risk and control register
Record intended use, failure modes, safeguards and responsible owners.
Evaluation suite
Version test cases and define acceptance thresholds with the customer.
Release evidence
Report findings, unresolved risks and recommended remediation.
[ Deployment & integration ]
Designed around the environment you operate.
Your systems
Integrate with approved identity, data sources and business applications. Access is scoped and reviewed.
Your constraints
Choose provider services or customer-controlled infrastructure according to workload, security and residency needs.
Your acceptance criteria
Agree quality, latency, cost and human review requirements before release. Document unresolved risks.
Security and operations
Assessments are scoped engineering work and do not constitute legal advice, certification or a guarantee of compliance or security.
What we need to integrate
- • A workflow owner and representative tasks
- • Approved data sources and access requirements
- • Infrastructure, procurement and security constraints
- • Success criteria and internal operational owners
[ Implementation process ]
From constraints to an operable system.
01
Discover
Map workflows, data, risks and constraints. Agree the business outcome, baseline and acceptance criteria.
02
Design
Define architecture, integrations, access controls and evaluation. Validate the highest-risk assumptions first.
03
Deploy
Build and integrate in stages. Test against agreed criteria, train owners and release with rollback plans.
04
Operate
Monitor quality, reliability and cost. Review incidents, evaluate changes and improve against the baseline.
Scope the right deployment.
Tell us about the workload, data, environment and operational constraints. We’ll propose a practical first step.
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