01 · Scope
A boundary that can close
The outcome, inputs, constraints, non-goals, and acceptance path are explicit before delivery expands.
- Named outcome
- Known constraints
- Acceptance criteria
A qualified multidisciplinary human team, augmented by governed specialist agents, runs parallel workstreams across agents, MCP tools, models, RAG, and data controls. Human-reviewed findings are prioritized, mapped to MITRE ATLAS, OWASP LLM Top 10, and NIST AI RMF, then retested as the estate changes.
Which agent, model, tool boundary, or data path would create the largest consequence if an adversary controlled it?
Continuous adversarial testing of your AI estate, mapped to the frameworks your buyers ask about.
Integro combines senior technical judgment with governed agentic delivery, then hands back the work with its evidence and limitations intact.
The outcome, inputs, constraints, non-goals, and acceptance path are explicit before delivery expands.
Integro carries out the work while keeping evidence, uncertainty, and review points visible.
You receive the result, its operating context, and a clear recommendation for what happens next.
Agree the outcome, source material, access, constraints, and what done means.
Run bounded passes, applying human judgment where consequences or ambiguity require it.
Review the result, record limitations, and transfer the output and recommendation.
The handoff separates what was verified, what remains uncertain, and what Integro recommends next. Continuing into another engagement is a choice, not a dependency.
Share the system, workflow, or decision in front of you. We will confirm whether this lane fits, identify the information needed to scope it, and recommend a smaller or different start when appropriate.
No urgency timer. No obligation to continue into another engagement.