Services
Training & Change Management
Hands-on training until your team uses the AI tools in their daily work.
- Role-specific sessions
- Hands-on practice
- A go-to person in each team
People do not use the tool
Many AI tools fail because people do not use them. Teams go back to old ways of working. They avoid tools they do not understand. Or they use the tool wrongly, get bad results, and decide "AI does not work." General training does not fix this.
Common pain points
- Teams resist new AI workflows
- People do not know what AI can and cannot do
- Skill gaps stop people from using AI tools well
- Old processes and habits are hard to change
- Leaders do not sponsor the change or agree on it
How we train
Adoption means people use the system in their daily work. We measure it by usage, and launch day is only the start. Before we write any training, we learn how your teams work. Each session uses real tasks from their jobs.
Learn the workflow first
We talk to the teams who will use the system. We ask what their day looks like and where the AI fits. We ask what they worry about. We build the training around their answers.
Run separate sessions for each role
Executives need to know what the system does and which decisions it affects. Managers need to know how it changes their team. End users practice their real tasks until the tool feels easy.
Practice on real tasks
In each session, people use the tool on their own reports and documents.
Find and support internal champions
We find people who learn fast and want to help their colleagues. We teach them more, so their team can go to them with questions.
Follow up on the gaps
After training, we look at usage data. We find the tasks that people still do by hand or do wrongly. Then we run short sessions on those tasks.
What you get
Change management plan
A plan for how you involve stakeholders, communicate, and train. It also sets the usage numbers you will track.
Training for each role
Learning materials, exercises, and checks made for each role in your company.
Executive briefings
Short sessions for leaders on AI strategy, governance, and what changes for the company.
Practitioner workshops
Detailed technical training for teams who work directly with the AI systems.
Quick-start guides
Short, practical guides that help users start work with the new AI workflows.
Champion toolkit
Resources and templates that help your internal champions grow adoption in their teams.
Our 5-phase process
The phases take you from the first interviews to a system in daily use.
Discovery
2 weeks
We interview the teams who do the work and map your data. We find where AI can help and where it cannot.
Strategy
2 weeks
We rank use cases by value and by the effort to build them. We cut the list and plan the first build.
Prototype
4-6 weeks
We build a working prototype on your real data. If the approach fails, we learn it here, before a full build.
Production
8-12 weeks
Our forward deployed engineers work inside your team to build the full system. We connect it to your systems, test it on real cases and train your engineers to run it.
Optimize
Ongoing
We monitor output quality and tune the system as usage changes. Each quarter, we choose the next improvement with you.
Ways to work with us
Choose the scope and length that fit your needs.
Executive workshop
A 1-day workshop for leaders on what AI means for the company and how to govern it.
- Pricing:
- Fixed fee
- Duration:
- 1 day
Full training program
Training for every role, from executives to end users.
- Pricing:
- Per participant
- Duration:
- 4-8 weeks
Adoption partnership
Ongoing change management support. It includes training, communication, and tracking of adoption.
- Pricing:
- Monthly retainer
- Duration:
- 6-12 months
Talk to us about this service
Tell us about your goals and your systems. We will tell you if this service fits. We will also tell you the first step.