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AA Consulting

How we think

Installing AI is not a software rollout. It is an alignment problem inside the company.

Most failures are not model failures. They are organizations that never decided what the AI was for. The work is to decide what good use means, where the risk sits, what the system must refuse, and then build the controls that hold the company to that decision.

Judgment, resolved into controls

Every decision lands in something enforceable.

The judgment layer is never abstract here. Each decision an organization has to make maps directly to a governance control we build and operate in regulated production.

The decision · judgment

  • What must the system refuse to do or say?

    A guardrail policy, denied topics, PII anonymize-vs-block per entity, prompt-injection screening, separate input and output checks.

    02Guardrails, content safety & PII

  • Who is allowed to spend what, and through which path?

    A governed control plane, central auth, rate limits, per-team cost attribution, and multi-cloud routing behind one policy.

    01AI Gateway architecture & build

  • How do we know it is still behaving once it is in production?

    Framework-agnostic tracing, cost, latency, and behavior captured for every agent call, for any team, by default.

    03Agent observability

  • Who decides whether an output is good, and on what evidence?

    Evaluation suites plus annotation queues that put domain experts' judgment into the CI loop, not a one-off review.

    04Agent evaluation

  • How do we keep the governed path the default, not the exception?

    Secure CI/CD, gateway use, cost-tracking headers, and OpenTelemetry logging enforced in the pipeline, not requested in a doc.

    05Secure agent CI/CD & enablement

How an engagement works

Diagnose, decide, then build and prove.

  1. 01

    Diagnose

    We map your stack and constraints, which clouds, what residency and regulation, and where the program is stuck or exposed.

  2. 02

    Decide

    With your executives and engineers, we name what good use means, what the system must refuse, and what to do first.

  3. 03

    Build and prove

    We ship the controls, gateway, guardrails, evaluation, and observability, plus the audit trail that proves it, mapped to the OWASP Agentic Top 10.

Decide what your AI is for. Then make it enforceable.

Discuss an engagement