AI Delivery Discipline
Enterprise Agentic AI Delivery

The technology works. The discipline is missing.

Enterprise AI keeps failing for a structural reason: organisations are running probabilistic systems on operating models built for deterministic software. Closing that gap requires a new discipline. This site is its home.

Read the StandardAI Economics case notes
Exhibit · From AI Economics Case Note 01
Klarna’s cost per contact fell 40 per cent. Its service bill rose every filed quarter. Both numbers are Klarna’s.
Cost per transaction, USD $0.32 $0.19 Q1 2023 Q1 2025 Customer service and operations cost, USD m 6.1% 6.2% 5.9% 5.6% 44 51 53 58 Q3 2024 Q2 2025 Q3 2025 Q2 2026
Latest filed quarterComparison quarterCost as a share of revenue
Source: Klarna Q1 2025 results via CX Dive; Klarna Forms 6-K, November 2025 and August 2026. Read the case note.

Enterprise Agentic AI Delivery is the practice of taking AI agents from pilot to reliable production at enterprise scale.

Start here

For an executive

Understand why the existing operating model fails. Read The Pilot Trap overview.

For an enterprise AI leader

See how production agents should be managed. Read the Agent Estate Standard.

For a delivery practitioner

Test five agents in your own organisation. Run the Five-Agent Test.

For someone following the field

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The discipline at a glance
The problemProbabilistic systems, run on operating models built for deterministic software
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The disciplineEnterprise Agentic AI Delivery: system stewardship, not project management
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Five Control SurfacesWhere the discipline operates, from business alignment to orchestration
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Four AccountabilitiesThe named roles that carry each surface in production
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The outcomeAgents that stay reliable, governed and economically positive at scale
BusinessAlignmentIntegrationArchitectureGovernance &ComplianceObservability &EvaluationOrchestration &Operations System Stewardship The Five Control Surfaces · every surface connects to every other

What changes for your organisation: every agent in production carries one named owner. Success is measured as cost per successful outcome, not activity. Deployment becomes day one rather than the finish line, with agents coached and governed through their working life. Drift, rework and oversight costs surface before the budget review finds them. And every agent carries a retirement criterion, with someone holding the authority to enforce it.

The full model is set out in the AI ROF™ whitepaper and defined term by term on the Concepts page.

The full operating model, on one page. The five surfaces, the three production gates and the four accountabilities as a single printable reference. Free, by email.
Get the one-pager
Latest
AI Economics Case Note 01 · October 2026
Klarna. The AI business case wasn’t wrong. It was incomplete.
What two and a half years of Klarna’s own filings and statements say about the numbers an AI business case has to carry, and the ones it usually leaves out. With a one-page business case template.
Research paper · July 2026
The Headcount Chain: how agentic AI breaks the instrument every company plans with
For a century, output, people and cost moved together. Agents break that chain, and the number every budget is built on stops measuring what everyone assumes it measures.
Standard · Version 1.0 · July 2026
The Agent Estate Standard
A free, vendor-neutral management standard for AI agents in production. Nineteen Agent Record fields, four roles, an operating cadence and three levels of conformance. CC BY-ND 4.0.
Vijayan Seenisamy speaking during the recording of the ADAPT Insider AI Economics Series
Recording the ADAPT Insider AI Economics Series, 2026.
The author

Vijayan Seenisamy

Author of The Pilot Trap and The AI Delivery Manager Blueprint, and creator of the AI Role Operating Framework (AI ROF™). He writes, speaks and advises on the operating model behind production AI, and has been cited alongside Tom Davenport and the editor in chief of Harvard Business Review on the future of management publishing.

About Vijayan

The Pilot TrapThe AI Delivery Manager Blueprint
Vijayan Seenisamy in conversation on camera at the ADAPT studio
On the record for ADAPT Insider, 2026.
Speaking

Bring the discipline to your stage

Keynotes and executive briefings on the Pilot Trap, the economics of production AI, and the agentic-era operating model. ADAPT, Corinium, and executive roundtables.

Invite Vijayan to speak

One idea per issue. No noise.

The AI Delivery Discipline newsletter, plus The First 90 Days of an AI Delivery Manager as a welcome guide.

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