AI for professional-services companies
Services companies concentrate knowledge in email, documents, and people. We design agents that retrieve context, structure requests, and prepare actions without removing professional review.
What is included
- Knowledge and permission inventory.
- Query and action workflows.
- Internal system integrations.
- Governance, traceability, and role-based adoption.
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We do not publish client names, figures, or testimonials without authorization.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
Can internal documents be used?
Yes, with access controls, authorized retrieval, and logs of the sources used.
How do you prevent unsupported answers?
We design sourced responses, confidence thresholds, and escalation when evidence is missing.
Let’s discuss the right process.
The initial diagnostic helps decide whether to implement, rescue, or stop the use case.
Schedule a diagnostic