AiOp.Net · Governed AI Infrastructure

Intelligence Connected.

AiOp.Net helps teams connect AI clients to the right data, memory, tools, and actions — without losing identity, permissions, provenance, or human control.

AiOp Connect is the governed context and authority layer in development. The AI Readiness & Authority Review is the field entry point.

AiOp Connect · MVP in development

Explore AiOp Connect Book an Authority Review
connect · authority flow
ai › create issue: rotate gw-01 keys · repo work/infra
principal michael · persona work · purpose issue_triage
policy work-repo-write-v4 · ⚠ approval required — reversible write
ops › held — one-use passport minted on approval
audit evt_9f2 · trace on · revocation live
approve once deny audit trail

The authority boundary, governed: every request resolves who is asking, as which persona, for what purpose — before policy, approval, and audit decide what crosses.

01 — The seam

Every AI client sees a different version of your work.

Models and assistants keep separate memories, connectors, permissions, and data policies. Point integrations multiply. You become the manual interoperability layer.

Persona is never the sole control — authenticated principal, declared purpose, policy, account scope, and approval decide together.

02 — One company constraint

One offer. One product. One proof.

No catalog, no platform narrative. Everything on this site leads to one of three things.

› ONE OFFER

AI Readiness & Authority Review

Map the workflow, data, identities, permissions, failure modes, value baseline, and no-go criteria — fixed scope, one consequential workflow.

Review the service
› ONE PRODUCT MVP in development

AiOp Connect

The governed context and authority layer that gives the active person, role, and task the right data, memory, tools, and permissions across AI clients.

Explore AiOp Connect
› ONE PROOF In build

Connect MVP Proof

One source platform, two isolated personas, two AI clients, one approval-gated action — and a complete audit trail.

Inspect the proof plan

03 — How Connect works

Six primitives, one boundary.

› PRINCIPAL01

Authenticate who is asking — before anything else.

› PERSONA & PURPOSE02

Identify the active role, audience, project, and task.

› POLICY03

Decide which sources, memories, tools, actions, and budgets are allowed.

› CONTEXT04

Retrieve only approved, source-linked information.

› APPROVAL05

Pause consequential actions for explicit human control.

› EVIDENCE06

Record what was seen, decided, called, changed, approved, and returned.

04 — The service entry point

Start with the authority boundary, not the agent.

A fixed-scope review of one consequential workflow: the outcome, systems, identities, permissions, data boundaries, failure modes, human authority, evidence requirements, and 90-day path.

Representative deliverables

  • Workflow and source map · authority and approval map.
  • Permission and data-boundary risk register.
  • Measurable baseline, success criteria — and kill criteria in writing.
  • Recommended proof scope and a 90-day implementation decision.

What can follow — evidence-gated

  • Operational Evidence Pilot — read-heavy or approval-gated, measured.
  • Production Hardening — identity, tool controls, evals, rollback, incident response.
  • Managed Assurance — drift, permission recertification, incident review.

Book the review

05 — The method

One method. Different depths.

The AiOp Runbook is how the work is delivered — inside and after the review. A method, not a menu: enter through the Review; go only as deep as the evidence requires.

› PROVE01

Decide where AI pays — with evidence, not enthusiasm.

› GROUND02

Make data, context, and ownership dependable.

› CONNECT03

Bind existing systems safely — identity, tools, boundaries.

› BUILD04

Deliver one bounded, working, governed workflow.

› FLOW05

Remove friction without hiding human impact.

› OPERATE06

Maintain reliability and authority over time.

The AiOp Runbook is a loop: prove, ground, connect, build, flow, operate — repeating. A method, not a menu.

06 — Proof before promise

The proof is small, honest, and versioned.

CONNECT MVP PROOF · v0.1 In build

One source platform. Two isolated personas. Two AI clients. One approval-gated action. One complete audit trail.

Known limitations: no results yet — acceptance criteria are planned tests, published only when run and verified. Claude and ChatGPT are initial client targets under validation, not guaranteed support. No third client, no autonomous writes, no compliance claims.

inspect the proof plan

Acceptance criteria — planned

  • Zero cross-persona leakage · deny-by-default access.
  • Source provenance shown for every retrieved context.
  • Approval required before the one write action; revocation blocks execution.
  • Every retrieval, tool call, decision, and approval carries a trace.

07 — The Operator's Code

Principles with teeth, not a values page.

  1. Evidence before enthusiasm. Every engagement opens and closes with numbers.
  2. Identity before agency. Who is asking, under what authority, is resolved before anything acts.
  3. Humans remain in command. Consequential actions pause for explicit, informed approval.
  4. Measure work removed, never workers watched. Observability is for systems, not surveillance.
  5. Leave capability, not dependency. Your team runs it when we're gone.

08 — Founder

Michael Lee — Founder & Principal Architect.

Founder-led, hands-on delivery. Specialists are added only when the scope requires named expertise.

Founder experienceTwenty-five years in enterprise networking, infrastructure, automation, and operations — now focused on the production seam between AI clients and the systems they are expected to use.
AiOp.Net lab evidenceConnect MVP proof — in build. Published here only when run and verified.
Customer evidenceNone published yet. By policy, only verified, approved results appear — never borrowed or implied.

Choose one consequential workflow.

Book the Authority Review, or bring a workflow to the Connect design-partner proof. Both start the same way: one workflow, its authority boundary, and the evidence.

No spam. A straight review, not a sales sequence.