AI pilot rescue and production readiness
A pilot may work in a demo and still fail in production. We audit the existing workflow, identify the real blocker, and define the minimum path to operation with permissions, observability, acceptance criteria, and owners.
What is included
- Technical and operational inventory.
- Data, prompt, tool, and integration diagnostic.
- Risk and control matrix.
- Stabilization, production, or closure plan.
How implementation works
- 1
Process diagnostic, baseline, and prioritization.
- 2
Target workflow, human controls, architecture, and metric design.
- 3
Controlled pilot with users, logs, and acceptance criteria.
- 4
Monitored production, knowledge transfer, and continuous improvement.
Evidence we can publish
We do not publish client names, figures, or testimonials without authorization. Available evidence describes the scope, evaluation window, and operational metric used.
AI ticketing agent for multi-site IT support
A multi-site services company received incomplete support requests and repetitive cases. IMR Tech designed a flow that classifies each request, asks for missing information, creates a structured ticket, and automatically resolves authorized cases.
Read the full case- Scope
- Incoming support requests and repetitive level-one cases across a multi-site operation.
- Window
- Controlled pilot and first weeks of operation.
- Metric
- Tickets with complete context and automatic resolution rate for repetitive requests.
- Figures
- Baseline and numerical results are not authorized for publication.
References and testimonials
Client references are coordinated during the commercial process when authorization exists. Until a public quote can be verified, we prefer not to attribute anonymous testimonials.
Frequently asked questions
Does everything need to be rebuilt?
No. We preserve what works and propose changes only where there is a demonstrable gap.
Can you audit another provider's agents?
Yes. The analysis focuses on behavior, permissions, data, cost, observability, and operation rather than who built the prototype.
Let’s discuss the right process.
The initial diagnostic helps decide whether to implement, rescue, or stop the use case.
Schedule a diagnostic