Case study
CoEdify deployed four developers into a 3-year engagement with EquippedAI, now part of Belasko UK. The work stabilized and refactored the product suite, integrated AI workflows into Minerva, improved performance, and rebuilt operational infrastructure to run more efficiently.
Relationship
Team
Outcome
Starting point
EquippedAI's platform work was not a narrow optimization task. The engagement covered product stabilization, refactoring, AI workflow integration across Minerva, performance work, and infrastructure changes that reduced recurring cloud waste.
The important lesson is that the cost reduction was not a standalone billing trick. It came from improving the architecture and operating model around the product suite.
What CoEdify delivered
Delivery scope
Operational change
Why it matters
The EquippedAI work is useful proof because it was not a demo or a strategy document. It was sustained production engineering inside a complex product environment.
That is the same standard CoEdify brings to agentic workflows, AI product features, and automation work: ship working systems, keep the operating model visible, and make the result easier to run.
Next step
Start with a short engineering call. If there is a fit, the first phase is scoped to produce a meaningful deliverable within two weeks.
