Owner of Wire Hold

AI enablement & governance

A controlled path from scattered experimentation to business-owned AI capability.

Enterprise adoption

Typical outcomes

  • Use-case portfolio and adoption roadmap
  • AI policy and control architecture
  • Human approval, evidence, and rollback design
  • Agent governance and operating models

The package

Enable4–6 weeks

AI enablement sprint

Pick the use cases, write the rules, name the owner. Four to six weeks.

  • Use-case portfolio and adoption roadmap
  • AI policy and control architecture
  • Human approval, evidence, and rollback design
  • Agent governance and operating model

Teams with promising use cases but unclear ownership, controls, or measures.

How an engagement runs

  1. Baseline

    Establish what is actually true today: controls in place, real exposure, who owns what, and which decisions are already waiting on an answer.

  2. Prioritize

    Rank the work by risk reduced per unit of effort, and agree explicitly on what will not be done this quarter.

  3. Operate

    Track remediation and outcomes while resolving the executive decisions that keep the program moving.

  4. Transfer

    Leave documented decisions, working systems, and an internal owner who can carry the program forward without the consultant.

Measured against

  • NIST AI RMF 1.0
  • ISO/IEC 42001
  • EU AI Act
  • OWASP Top 10 for LLM Applications