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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 · A live meal-prep storefront

“Can the same platform run a real business?”

The concept

One governed foundation for every product

New products reuse the same identity, cost and safety controls instead of rebuilding them.

How it works: A new customer-facing product plugs into the existing identity, monitoring, backup and cost controls instead of bringing its own.
Why it matters: New products launch faster and safer because governance is inherited, not rebuilt each time.
The result: The storefront is live and takes real customer orders.

See it workingOne governed foundation for every productReal screen

The live meal-prep storefront home page — The live storefront, running on the same governed platform. Open the live page

The business problem

Enterprise reliability, without the enterprise budget.

Small businesses need professional online ordering without an enterprise budget or an IT team. The storefront had to take real customer orders reliably, on infrastructure run by one owner.

▶ Watch the answer: What if your AI vendor changes the rules?

Why this concept

A self-hosted storefront with its own ordering service and database on the governed platform

The business keeps its customers and its margin, and inherits the platform's monitoring and backups.

Also considered

A hosted marketplace that takes a cut of every sale

How it works

One governed foundation for every product

New product

A customer-facing storefront

Shared foundation

Identity, cost and safety controls

Monitoring and backups

Inherited, not rebuilt

Orders

Taken from real customers

Result

A faster, safer launch

What we put in place

Built and hosted the Fun Fit Fresh Meals storefront with its own ordering service and database.
Delivered a brand kit, a go-live audit and a rewards structure alongside the site.
Also host a small-business website for a roofing contractor on the same platform.

The result

Before

Enterprise reliability, without the enterprise budget.

After

The storefront is live and takes real customer orders.

I can carry a solution from design to a live, customer-facing product.

In your organization

Customer-facing products built on the same governed foundation as internal tools.

Related case studies

The digital factory

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

The conceptThe digital factory

Read the case study

Managed automation

“Which work should run itself?”

The conceptManaged, not scripted

Read the case study

Next case study

Detect, fix, escalate

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