Facilitated sessions
Work through practical topics such as using AI tools, evaluating their output and adopting new ways of working.
Workforce & Change
Change is finished when people work differently.
Stakeholder engagement, change planning, workforce training, coaching and adoption measurement. We connect learning to the tasks people perform and measure whether practice changed, not whether attendance was taken.
Standalone training
Training for the work you want to do.
Come as an individual or bring a team. Training can stand on its own or support a wider change program. We shape the topic, format and level around what you want to learn.
Guided practice
Apply what you learn to realistic exercises, with feedback and job aids to help you use it afterward.
Coaching and follow-up
Get help with questions that surface as you practice and identify where further support would be useful.
When organizations engage us
A rollout is coming
A new system or policy is months away. The people affected need to understand what changes for them, and leadership needs a plan for resistance before it appears.
Training happened, practice did not change
Attendance was full and the old way came back within a quarter. Adoption needs practice on real tasks, coaching and follow-up, not another session.
Staff need judgment with AI tools
Teams have access to AI assistants and are unsure what to use them for or when to trust a result. Role-specific training builds habits and review steps.
Stakeholders are not aligned
Departments, unions, faculty or a board see the change differently. Structured engagement surfaces concerns early and turns them into design requirements.
What the work includes
How we approach it.
Understand roles and starting points
Which tasks change for whom, what people already know, what worries them and who influences adoption. The plan is built from that, not from a generic curriculum.
Plan the change
Stakeholder map, communication sequence, training approach, coaching model, risks and measures. Leaders get specific roles, not a request to be supportive.
Train on real work
Facilitated sessions and guided practice on the tasks people perform, with job aids they can use the next morning. For AI tools, that includes reviewing outputs and knowing when to escalate.
Measure adoption and adjust
Evidence of changed practice: usage, quality, time, rework, confidence. Follow-up coaching where adoption lags, and an honest report on what has and has not moved.
Explore Textstone
Products, articles and guides.
Explore the software we develop and the thinking behind our approach.
Next step
What are you trying to improve?
Tell us about the priority, the process or the decision. A first conversation is enough to know whether we can help.