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Case studies Governance Lessons Watch it work The journey How it's built Live health Contact

Questions we answer

Can we trust AI to act on its own?Governance and guardrailsWho allowed the AI to do that?Identity travels with every requestCan someone talk the AI into something risky?Risk-graded autonomyCan we see who did what, and why?One thread from request to resultWhere are the keys kept?One vault, no shared secretsWhy did the AI bill jump, and who spent it?One counted doorwayIs every task getting the right model?Right model, right taskWhat if our AI vendor goes down or raises its price?No single point of supplyAre we paying for tools that do the same job?One tool per jobDoes the AI forget everything between conversations?Governed shared memoryIs this producing real work, or just answers?The digital factoryWhich work should run itself?Managed, not scriptedCan we get more from the Copilot licences we already pay for?Copilot proposes, the platform verifiesWill people actually use it?Meet people where they workHow much time do people lose sorting inbound information?Intake to insight, untouchedCan the same platform run a real business?One governed foundation for every productWhat happens when it breaks at night?Detect, fix, escalateWhere is the list of what is open, and who owns it?One list, closed with evidenceCould we recover if we lost everything?Proven by restoringCan you prove it to an auditor?Challenge before acceptanceDoes it get better over time, or just older?Every lesson becomes a ruleWill this still work after the next upgrade?Clean Core for AIDo our documents match what is actually running?Documentation as a by-productCan we trust AI to act on its own?Governance and guardrailsWho allowed the AI to do that?Identity travels with every requestCan someone talk the AI into something risky?Risk-graded autonomyCan we see who did what, and why?One thread from request to resultWhere are the keys kept?One vault, no shared secretsWhy did the AI bill jump, and who spent it?One counted doorwayIs every task getting the right model?Right model, right taskWhat if our AI vendor goes down or raises its price?No single point of supplyAre we paying for tools that do the same job?One tool per jobDoes the AI forget everything between conversations?Governed shared memoryIs this producing real work, or just answers?The digital factoryWhich work should run itself?Managed, not scriptedCan we get more from the Copilot licences we already pay for?Copilot proposes, the platform verifiesWill people actually use it?Meet people where they workHow much time do people lose sorting inbound information?Intake to insight, untouchedCan the same platform run a real business?One governed foundation for every productWhat happens when it breaks at night?Detect, fix, escalateWhere is the list of what is open, and who owns it?One list, closed with evidenceCould we recover if we lost everything?Proven by restoringCan you prove it to an auditor?Challenge before acceptanceDoes it get better over time, or just older?Every lesson becomes a ruleWill this still work after the next upgrade?Clean Core for AIDo our documents match what is actually running?Documentation as a by-product

Portfolio / Run Like an Enterprise

Run Like an Enterprise

“What happens when it breaks at night?”

A pilot becomes production when it can be run, audited and recovered, and when people actually adopt it. This chapter covers incidents, self-healing, one task board, audit and the standard-first rule I brought from SAP.

Watch the answerWho fixes it when something breaks overnight?See all six answers

How it works

The flow at a glance.

Monitor

Spots the fault first

Standard fix

Automation tries what is pre-approved

Agent

Investigates and explains

Person

Decides anything risky

Task closed

Only with evidence

Case studies

Run Like an Enterprise, case by case.

Self-healing operations

“What happens when it breaks at night?”

The conceptDetect, fix, escalate

Read the case study

Incident and task management

“Where is the list of what is open, and who owns it?”

The conceptOne list, closed with evidence

Read the case study

Disaster recovery you can prove

“Could we recover if we lost everything?”

The conceptProven by restoring

Read the case study

Governance and assurance

“Can you prove it to an auditor?”

The conceptChallenge before acceptance

Read the case study

A platform that learns

“Does it get better over time, or just older?”

The conceptEvery lesson becomes a rule

Read the case study

Standard first: Clean Core for AI

“Will this still work after the next upgrade?”

The conceptClean Core for AI

Read the case study

Architecture that documents itself

“Do our documents match what is actually running?”

The conceptDocumentation as a by-product

Read the case study

Contact

Looking for someone to lead AI from pilot to production?

I would be glad to walk you through any part of this live and talk about the role you have in mind.

Email me LinkedIn One-page brief

j.walters@erpaiintegration.com

Go deeper: Lessons · The journey · How it’s built · Live health