Consulting
AI Guardrails & Evals Review
Schedule a focused technical conversation that scopes your AI product risk, identifies the right advisory track, and translates your needs into a practical engagement proposal.
Selected service
AI Guardrails & Evals Review
Review the controls, tests, monitoring, and fallback paths that keep LLMs, RAG systems, copilots, and agents safe in production. The work covers policy boundaries, refusal behavior, retrieval constraints, eval design, regression tests, output monitoring, abuse detection, escalation paths, and fallback handling.
Duration
3-6 weeks
Deliverables
4 implementation-grade outputs
Rate
Custom
What we cover
- Guardrail architecture and refusal/fallback review
- Eval set and abuse case design
- Regression testing strategy
- Monitoring, telemetry, and QA workflow recommendations
Scoping workflow
Collect the details before the call.
Use the service-specific intake below to collect the organization profile, stakeholders, systems, and files we need in advance. The same workspace data can later be managed from your client portal.
Structured intake
Turn this into a scoped engagement.
This form captures the organization details, stakeholders, systems, and assets we need before the discovery call. It saves into your client workspace so the same record can be updated later from your account area.
What we ask
What to upload
Organization profile
Project details
Stakeholders
Who should receive the proposal, notes, and next steps?
Add at least one stakeholder so we know who to include in the follow-up.
Uploads
Add files, screenshots, or text artifacts before the call.
No uploads yet. Screenshots, docs, questionnaire exports, and notes can all be added here.
Saving writes this draft into your workspace profile. Nothing has been saved yet.
What we cover in the call
- • Your AI architecture, data sources, and model supply chain.
- • Risk profile for RAG, agents, prompt injection, and tool access.
- • Desired outcomes, timeline, and delivery constraints.
- • Recommended engagement format and next steps.
Typical duration
30 minutes
If you’re preparing:
- • A short summary of your AI program or feature.
- • Key risk concerns or audit requirements.
- • Current controls, telemetry, and team structure.