Only 23% have scaled. Fewer than 10% in any single function.

Usage is near-universal and the return is not. 37% of executives report any earnings impact from AI, and 6% report an impact of 5% or more. The difference between the six percent and everyone else is not the model. It is integration depth, evaluation discipline, and governance that lets a system be trusted with more.

McKinsey State of AI, August 2026

What procurement now writes into contracts, and what we build to.

• 01 Kill switches

  Under five minutes for production systems; under one minute for anything with transaction authority. Aligned to the human-oversight requirements of EU AI Act Article 14.

• 02 Model change control

  A minimum 14-day deprecation notice on any model change, with re-acceptance testing rights and agreed tolerance bands.

• 03 Audit trails

  Append-only, hash-chained logs with per-step tracing, tagged by agent identity and model version.

• 04 Statistical acceptance

  Golden datasets of 100 to 300 expert-validated cases, split 60/30/10 across common, tricky and adversarial. Failure budgets rather than binary sign-off: under 3% property violations, under 0.5% fabrication.

• 05 Tiered autonomy

  Read-only, reversible, external-facing and high-risk irreversible approval tiers. Circuit breakers on budget ceilings, iteration limits and consecutive failures.

• 06 Outcome SLAs

  Defined per system and written down: uptime, resolution rate on complex tasks, latency, and autonomous completion rate on structured work.

On liability we are direct. We operate inside your existing security controls where that is faster, and we put indemnification and liability structure on the table in the first conversation rather than the last.

You don't need another dashboard. You need proof.

89% of teams already have observability. Only 52% run offline evaluations against a test set, and 37% evaluate in production. Yet output quality is the number one blocker to reaching production. Evaluation is a named phase in every Victoria engagement and a standing line in every retainer: golden sets, failure budgets, re-acceptance on every model change.

We are also precise about words. Only 16% of enterprise deployments qualify as genuinely autonomous agents. We tell you which of your candidates is a copilot, which is a workflow automation and which is an agent, and we price and govern each accordingly.

LangChain State of Agent Engineering; Menlo Ventures, 2025 State of Generative AI in the Enterprise

Governance for the systems you already have, not only the ones we build.

• 01 Registry

  Every AI system in scope, its owner, its permissions and its model version, in one place.

• 02 Scoped permissions

  Capability-based, scoped by task and by time. Nothing standing, nothing inherited.

• 03 Reporting

  Monthly evidence for your risk, audit and compliance functions, in the format they already use.

• 04 Enablement

  Training for the teams who will own the systems, so handover creates internal champions rather than dependence.

Governance is a third of the buying decision and almost nobody outside the largest consultancies sells it. We do, as a recurring engagement priced on its own.

Discovery to managed operation, under your controls throughout.

• 01 Discovery & data readiness

  Candidate workflows ranked by value and risk. Data readiness assessed before commitment, because at least half of advanced AI projects need data work first.

• 02 Governed pilot

  Built in your environment, against your systems, inside your security controls.

• 03 Acceptance

  Statistical acceptance against the golden set. Failure budgets met before anything is exposed to a customer.

• 04 Production & scale

  Autonomy tiers widened as evidence accumulates. Same build, more trust.

• 05 Managed operation

  Run, evaluated and reported. Re-accepted on every model change.

Scoped and quoted per engagement.

Enterprise work is priced against the systems in scope, the governance depth your risk function requires and the level of managed operation afterwards. Send us the workflow and the questionnaire and we return a written quote: build, governance retainer and, where it fits, verified-outcome terms. No seats.