An AI roadmap built from your business problems
We help you pick use cases, assess readiness, run pilots and integrate AI into existing workflows. Each stage has clear deliverables and evaluation criteria.
- ProblemThe work to improve
- DataSources and conditions
- SolutionPilot and integration
- PeopleReview and approval
Decide where AI should take part in your work
Use cases are chosen based on need, data, connected systems and whether results can be verified.
- Knowledge accessEmployees ask questions and get answers with sources.Knowledge Assistant
- Document processingRecognize, classify and extract data for people to review.Document AI
- Sales and operations supportPrepare follow-ups and create tasks within permissions.Omnichannel AI Agent
Ways to engage
Start at the stage that matches where you are; you do not have to go through every step.
See the technical stack and standardsConsulting, pilot, integration and support fees depend on scope; model, API and infrastructure costs are listed separately.
- AI Readiness & RoadmapCurrent-state assessment, prioritized use cases, data requirements and roadmap
- AI Pilot & ValidationPilot scope, evaluation criteria, results and recommended next step
- AI Integration & AdoptionIntegration, permissions, testing, user guidance and handover
- AI Operations & ImprovementQuality monitoring, issue handling and updates within scope
How AI works inside your systems
- Find information within permissions
- Analyze and prepare work
- Carry out permitted tasks
- The owner reviews and approves
For actions that change business data, the solution defines review, approval and an action log.
Evaluate before scaling
Criteria are agreed per use case: output quality, data coverage, behavior when information is missing, permitted actions and how users verify results.
Pilot results define the scope for scaling.
- Output qualityAccuracy and usefulness on the pilot dataset.
- Data scopeWhich sources are used and what happens when information is missing.
- PermissionsActions the AI may take and steps that need human approval.
- User reviewHow owners review, correct and confirm results.
Can we start without centralized data?
Yes. An assessment helps choose a suitable problem and identify which data needs preparing.
Do we have to go through every stage?
No. If your use case is clear, you can start with a pilot or integration.
Can an AI agent change data in our systems on its own?
Actions follow agreed permissions, rules and approval steps, and every action is logged for review.
Tell us where you want AI to help
We will get back to you to clarify scope, engagement model and next steps.
Talk to usOr email info@mespitech.com