For Heads of AI

Approve which AI methods ship. Without watching anyone.

Your employees are already building useful AI work: methods, skills, and agents. The missing layer is a system of record: which of it is approved, who owns it, who reviewed it, and how fresh it is. knacks gives you that layer with nothing tracked and nobody watched: no access to anyone's chats or screens, ever. The register covers company skills and agents, on the same review path.

Home / Head of AI

The Head of AI problem

AI adoption usually looks healthy before it looks accountable. Seats go up, messages go up, demos multiply. But the best methods still live in private chats, and nobody can say which ones the company stands behind. The company has activity without a system of record for how AI-assisted work should happen.

knacks answers that with one loop: Publish, Approve, Ship, Use, Improve. There is no capture and no usage tracking, ever: knacks never sees chats, screens, or who runs what. Publishing is a deliberate act, and nothing is shared without a named person saying yes.

What knacks gives you

Deliberate publishing

Anyone describes repeated work in plain English; knacks drafts the skill with examples and tests. No ambient capture, ever.

Human review

The team lead, the domain expert rather than IT, approves each skill before anyone else can run it.

Company skill library

Approved skills live as plain markdown files in a GitHub repository you own, with a named owner, version history, and a one line changelog.

Current by default

Approved skills land in the whole team's Claude, nothing to install. The owner updates once and everyone is on the latest version immediately, with a one line changelog.

First 30 days

Pick one team with visible AI usage

Revenue, support, operations, or customer success usually produces the fastest signal.

Find who does each repeated job best

Look for the prep, triage, reporting, research, and follow-up that one person clearly does better than everyone else.

Publish the first three skills

Choose methods with a clear owner, real repeat frequency, low ambiguity, and visible quality benefit.

Keep it current

Each skill has a named owner who updates it once for everyone. The library shows what is approved, who owns it, and when it last changed.

Best first skills

Metrics that matter

AI adoption metrics for Heads of AI
MetricQuestion it answers
Skill conversionHow many repeated methods became approved company skills?
Owner coverageDoes every shared skill have a named, accountable owner?
Review coverageHas a domain expert said yes to every skill in the library?
Methods shippedHow many approved skills have landed in the teams' Claude, ready to run?
Version freshnessWhen was each skill last updated, and is every team on the latest version?

Build the system of record.

Book a walkthrough and we will map one team from private AI methods to approved, current company skills. See also AI agent governance and who approves an AI agent.

Book a walkthrough