Design Partner Pilot · arif-fazil.com/pilot

Your AI agents can act.
Who approves the actions?

A 4-week supervised pilot that installs measurable action control around one of your real AI-agent workflows — evidence on every action, a named human on every consequential one, and a tamper-evident receipt chain proving it after the fact.

The gap this closes

Autonomy without approval is an incident report waiting to be written. Approval without evidence is theatre — a rubber stamp with a audit-trail costume. The middle path is supervised action: the agent executes inside a contained lane, every action ships with its evidence packet, and consequential actions simply stop and wait for a named approver — not a policy document, a running mechanism.

Eight criteria, measured weekly, reported honestly

Unauthorized actions reaching execution0 (target 100% eliminated)
High-risk action classes under governance100% coverage
Governed-action ratio, ≥1,000 live actions≥ 80%
False holds (workflow stopped without cause)≤ 5%
Successful bypass attempts0
Actions with complete evidence packets100%
Approver latency, 95th percentile≤ 30 min
Undetected configuration drift0

These are pilot exit criteria — measured, not promised. If a number misses, the weekly report says so. That is the point.

Fit — this pilot is for you if

If three or more are missing, this is not the right engagement yet — I will say so on the first call.

The four weeks

Week 1

Baseline & instrumentation of your chosen workflow. Success criteria signed by both sides.

Week 2

Supervised execution. Evidence packets per action; consequential actions hold for your named approver; receipt chain live.

Week 3

Load and adversarial week — real volume, deliberate bypass attempts against the containment.

Week 4

Criteria report, handover, and a go / no-go recommendation. You keep the receipts either way.

Commercial

Pilot band RM 20,000–50,000 depending on workflow complexity and integration surface. Post-success pricing is per workflow governed — not per seat, not per token. One design-partner slot at a time.

Who builds it

Arif Fazil — exploration geoscientist, 13+ years deepwater Malaysia; designs and operates governance systems for agentic AI. The codebase is IP-audited clean of employer intellectual property; every public artifact is reproducible from public sources.

Apply

Email [email protected] with subject PILOT, or message t.me/ASI_arifos_bot with the word PILOT. Include three things:

No "production-ready". No "zero-risk". Numbers above are criteria — the engagement exists to measure them.

DITEMPA BUKAN DIBERI — forged, not given.  ·  arif-fazil.com