Pilots are not reaching real use
Ideas are tested in isolation, but the business still lacks a safe path to launch.
SCALE · ENTERPRISE DATA & AI DELIVERY
Scale a proven operational technology opportunity into production.
Microcorem assembles the delivery capability required to take the work through architecture, integration, data, AI, software, governance and production delivery.
This is the SCALE engagement: the point is to move from a validated opportunity into governed production delivery, handover and support where agreed.
Governed delivery system
Business use case
Data and systems
Review controls
Controlled AI delivery path
PilotControlsHandover
Problems we help fix
AI pilots slow down when delivery ownership is unclear.
Most blockers are ordinary delivery problems: data quality, access, review points, security and team ownership.
Data and systems are not ready
Useful AI work depends on connected information, clear access and sources the team can trust.
Governance is unclear
Teams need to know what AI can do, what a human must review and how decisions are recorded.
Too many owners are involved
Product, operations, engineering and suppliers may all be active, but no one has one delivery view.
Project-specific team
The team behind this engagement
The SCALE engagement draws from architecture, integration, data, AI, product, cloud, QA, governance and delivery capability as the production path requires.
Typical team
- Solution Architecture
- Data Engineering
- Integration Engineering
- AI / LLM Engineering
- Product Engineering
- Cloud / DevOps
- QA
- Delivery
- Domain specialists where required
The exact team is shaped around the engagement.
What we actually do
Turn a validated opportunity into a delivery programme.
The work connects business use case, data readiness, governance, engineering and production handover. It is practical delivery work, not an AI theatre exercise.
- Choose the AI use cases worth delivering first.
- Map the data, systems, risks and owners needed for delivery.
- Set practical controls for human review, security and data handling.
- Build a focused AI-assisted workflow, dashboard or knowledge tool.
- Create the delivery plan, handover notes and next-stage roadmap.
How we work
A controlled route from proven use case to production.
Each stage reduces uncertainty before the work becomes a larger programme.
- 01
Clarify the business use case
We start with the decision, document, workflow or team problem AI is meant to support.
- 02
Check readiness
We review data quality, permissions, systems and operational risk before building.
- 03
Build the production path
We create the production route with review points, reliability expectations and clear ownership.
- 04
Launch and document
We support rollout, capture decisions and leave a practical plan for what comes next.
What the customer receives
Clear outputs for the next delivery decision.
The exact scope depends on the engagement, but the customer leaves with usable delivery material.
- A prioritised AI use-case and delivery roadmap.
- A map of data, systems, risks and owners.
- A working pilot, workflow, assistant or dashboard where in scope.
- Recorded governance, review and security decisions.
- Implementation notes and next-stage recommendations.
Good fit
This service is useful when...
- You have a proven use case or pilot that needs production delivery.
- Data, governance and engineering need to be considered together.
- Teams or suppliers need clearer ownership and delivery rhythm.
- You need a focused delivery programme before building a permanent team.
Probably not yet
It may be too early when...
- There is no agreed business problem or responsible owner.
- You want AI to make material decisions without human review.
- The work is only a demonstration with no route to operational use.
Next step
Scale a proven opportunity with a clear delivery team.
Tell us the workflow, data estate or operating problem that is ready for production delivery. We can help define the team shape and delivery path.