How does a consulting engagement run?

Discovery interviews, process and data analysis, use-case prioritisation and the roadmap presentation.

Do you also implement afterwards?

Yes. We can take on development and integration work after the roadmap.

AI Consulting

Building the AI roadmap: assessment, prioritisation and an executable plan.

Overview

Consulting starts by choosing the right problem, not the right technology. We review processes, assess data maturity and identify the scenarios with the highest potential.

The deliverable is an executable roadmap: pilot scope, required integrations, security requirements and success criteria.

Benefits

Current-state and process analysis
Prioritisation of use cases
Implementation and measurement plan

What you get

Process analysis and implementation roadmap
Integration and permission setup
Live system with monitoring and logging
Team training and usage documentation
Post-launch support and improvement cycle

What can you do with it?

The scenarios we deploy most often with this solution:

AI maturity and feasibility assessment

Use-case inventory and prioritisation

Defining data and security requirements

Pilot project design

How we work

A four-step model from discovery to go-live and continuous improvement.

01
Discovery & prioritisation
We map your processes together and pick the highest-return scenarios.
02
Architecture & integration
Data sources, permissions and the deployment model (cloud / on-premise) are defined.
03
Pilot & go-live
A scoped pilot starts, results are measured and usage is rolled out.
04
Improvement & support
Usage data drives new scenarios; monitoring, updates and support continue.

Frequently asked questions

How does a consulting engagement run?: Discovery interviews, process and data analysis, use-case prioritisation and the roadmap presentation.
Do you also implement afterwards?: Yes. We can take on development and integration work after the roadmap.