Make
How do we design, generate, and document software?
Factories, coding agents, and delivery platforms answer this question. They are useful when you need a system written.
Intent-Driven Operations
Factories manufacture systems. Intent-Ops governs agency.
Intent is not a requirements document for a coding agent. It is a machine-readable statement of what winning looks like, bound to live state and telemetry, with a named human who grants permission to act.
We sit on top of the estate you already paid for. We do not rip and replace.
The loop
Most AI is blind. Telemetry gives it eyes. Intent tells it what winning looks like.
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Intent
What success looks like — versioned, owned, machine-readable.
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State
What is true right now inside the running business.
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Telemetry
Continuous sensing, not a quarterly dashboard.
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Permission
Who or what may act, with whose name on the grant.
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Action
Execute inside existing systems — or recommend, then graduate.
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Trace
Every grant, act, and outcome is auditable.
Make vs Run
Run
How does the live business grant, sense, and revoke agency?
This is the control plane for permission to execute. It is the layer Intent-Ops owns.
Buy a factory for Make. Buy Intent-Ops for Run. If the factory ships a perfect system and you still cannot tell, in real time, whether it is allowed to act — you bought Make and skipped Run. That is why three years of agent pilots did not move EBIT.
Sit on top. Do not rip and replace.
- Legacy systems were built for reliability, not change.
- Intent-driven operations sit on top, read live state, and orchestrate safely.
- You keep the systems of record and the IP. We do not host a replacement core and we do not take your codebase.
The 2023–2026 scoreboard
Published research, not a vendor multiplier. Steal the slide.
- McKinsey 2025 High generative-AI adoption. Little enterprise-wide EBIT.
- MIT 2025 About 95% of enterprise AI pilots missed expected returns.
- Gartner More than 40% of agentic AI projects canceled by the end of 2027.
- The hangover Boards were promised 30–50% efficiency. Most got demos.
Luciano Floridi: contemporary AI can exercise agency without intelligence — it can act without understanding or accountability. That is why permission must be granted, scoped, and revoked.
Two ways to start
Intent Diagnostic
Score the current AI and agent estate against Intent, State, Telemetry, and Permission. Map one candidate loop. Leave with a board-ready memo on whether it will move EBIT.
Transformation Sprint
Close one operational loop on your estate. Intent Canvas, Telemetry Blueprint, Governance Playbook, and a permission ledger. Success is a CFO metric, not stories shipped.
Retainers and a licensed operating-model kit exist after a loop is closed. They are not priced on this page.
Who this is for
For
CIO, CTO, CDO, and COO. Operations-heavy enterprises that already spent on agents or RPA and cannot show EBIT. Estates that will still be running next year.
Not for
Greenfield “build and host our replacement system.” Success measured as PRs per week or 80x delivery. Programs whose only ROI is headcount takeout.
Who we are
Intent Ops AI, LLC. Arnold Leap — 35 years as CIO, CTO, and EVP across Fortune 500 integrations; Adjunct Professor of AI. A practitioner counter-narrative, not a platform theater company.
The scarce asset is not the model. It is people who stay relentlessly curious while systems stay relentlessly adaptive.
Talk to us about one loop
Write with the operational loop you want governed — claims exception, order-to-cash break, parts approval, care-gap queue, or another process that already runs.