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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 / Work That Gets Done

The business question · Managed automation

“Which work should run itself?”

The concept

Managed, not scripted

Proven products and one scheduler replace home-made scripts.

How it works: Recurring work runs as managed workflows in one engine and one queue, each one timed, logged and raising an alarm when it fails.
Why it matters: Automation survives staff changes and audits, and a failure surfaces the same day instead of weeks later.
The result: The publish, the morning brief, the inventory refresh and the intake pipeline run on schedule and say when they did not.

See it workingManaged, not scriptedAnimation

Recurring work runs as managed workflows in one engine and one queue, each one timed, logged and raising an alarm when it fails. Animated from the platform's real setup.

The business problem

Quiet scripts work until the day nobody is watching.

Automation often starts as quick scripts that work until the person who wrote them leaves. Document publishing, inventory refreshes, morning briefings and data collection all needed to run on schedule, reliably and visibly.

▶ Watch the answer: Who fixes it when something breaks overnight?

Why this concept

A managed workflow engine and one job queue, with every job timed, logged and alarmed

A managed engine shows what ran, what failed and what is next; a hidden script does not.

Also considered

Scripts scheduled on the server

How it works

Managed, not scripted

Schedule

Recurring business work

Workflow engine

Runs it as a managed workflow

Job queue

Limits and a record for every job

Alarm

Raised when a job fails

Result

Work that says when it did not run

What we put in place

Moved recurring business workflows into a managed workflow engine that the main agent drives.
Put every command an agent sends to the server through one job queue with limits and a record.
Wrapped scheduled jobs so each one is timed, logged and alarmed after repeated failures.
Made it a rule that anything new is registered and wired into checks before it counts as done.

The result

Before

Quiet scripts work until the day nobody is watching.

After

The publish, the morning brief, the inventory refresh and the intake pipeline run on schedule and say when they did not.

I automate in a way the organization can see, own and maintain.

In your organization

Automation that survives staff changes and audits.

Related case studies

The digital factory

“Is this producing real work, or just answers?”

The conceptThe digital factory

Read the case study

Copilot as a plain-language engine for Microsoft 365

“Can we get more from the Copilot licences we already pay for?”

The conceptCopilot proposes, the platform verifies

Read the case study

Next case study

Copilot proposes, the platform verifies

Lessons learned

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