Enterprise AI implementation
We help companies turn a business problem into an AI system that works inside the operation. The engagement covers use-case selection, process redesign, integrations, human controls, deployment, and measurement.
What is included
- Prioritized opportunity map.
- Target process and architecture.
- Pilot with acceptance criteria.
- Deployment, logs, runbook, and impact dashboard.
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We do not publish client names, figures, or testimonials without authorization.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.
Customer service, ordering, and reminder agent for optical retail
An optical retail operation needed more consistent answers and a way to turn conversations into operational tasks. IMR Tech connected the conversational layer to commercial rules and service workflows so it could capture orders, schedule reminders, and escalate exceptions with context.
Read the full case- Scope
- Questions, order capture, reminders, and escalation to the commercial team.
- Window
- Controlled pilot and first weeks of operation.
- Metric
- Conversations ending in a captured order or an escalation with complete context.
- 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
How long does a first implementation take?
A controlled pilot often takes 3 to 6 weeks; production is normally reached in 6 to 12 week cycles depending on integrations and risk.
Which models do you use?
Architecture follows quality, privacy, control, speed, and cost requirements. It may use commercial, open-source, cloud, local, or combined models.
Let’s discuss the right process.
The initial diagnostic helps decide whether to implement, rescue, or stop the use case.
Schedule a diagnostic