Make AIActually Stick
Train is where AI becomes part of how the organization works. We turn Copilot, Claude, agents, and playbooks into role-based habits your teams can measure and keep using.
We make Copilot and Claude actually stick.
We make enablement practical: map the work by role, design the agents and prompts around real tasks, train the right cohorts, and measure whether usage actually changes.
Built For Each Role
Copilot Studio agents and Claude Projects shaped around real work, not the generic templates.
Prompt And Playbook Library
Versioned prompts and playbooks scoped to your accounts, SKUs, forms, policies, and recurring tasks.
Training By Cohort
Live sessions by role, so producers, dispatchers, and PMs each get their own track.
Adoption You Can Measure
Weekly active usage tracked by role, with a 90 day SLA and named owners.
How Train Works.
This is where enablement becomes operational. We connect role design, agent setup, prompt libraries, cohort training, and usage reporting so AI becomes part of the work instead of another unused license.
Activities
Role Mapping
Role shaped enablement across the functions where AI can change daily work, starting with the workflows that matter most.
Agent And Prompt Design
Copilot Studio agents, Claude Projects, and a versioned prompt library built around your real tasks and decisions.
Cohort Training
Live cohort training with practical examples from each role, plus champion support so adoption does not depend on one session.
Adoption Measurement
A 90 day adoption SLA measured in weekly active usage by role, with reporting and refresh when usage stalls.
Deliverables
Copilot Studio And Claude Projects
Role specific agents built around your real workflows, not the generic templates.
Prompt And Playbook Library
Versioned and scoped to your accounts, SKUs, forms, and governing law.
Role Cohort Training
Live cohorts by role, with champions credentialed inside each department.
Adoption SLA And Reporting
Weekly active usage tracked by role and team, with named owners and monthly office hours.
Recent Train Work.
Claude rollout and documentation build on a compressed timeline for the whole care team
How we rolled out and trained an entire care team on Claude in a compressed timeline, then put it straight to work drafting the documentation they needed.
We rolled out Claude across the whole care team on a compressed timeline. The policies and templates they helped us draft are still what we use every day.”
Questions Teams Ask Us.
The questions operators actually ask before a first engagement, answered straight. If yours is not on the list, we will cover it on the call.
- We already paid for Copilot. Why pay you on top of it?
- Because the Copilot license is the easy part. Adoption is the hard part. Most rollouts we audit are at under 10% weekly active usage 90 days in, because nobody owns the prompts, nobody designed the agents around real workflows, and nobody trained the cohorts. We do that work with workflow shaped enablement, role specific agents, and measured weekly active usage.
- Is this just AI training videos?
- No. The training is the smallest part of the engagement. Most of the work is designing Copilot Studio agents and Claude Projects that are actually useful for a specific role, like producer, dispatcher, PM, or paralegal, then building the prompt and playbook library that survives the next quarter. Training is how we transfer that to your champions. The agents and library are the actual deliverable.
- What does a 90 day adoption SLA actually mean?
- We commit to a target weekly active usage rate by role at day 90, typically 4 times the pre engagement baseline. If we miss the target, we extend the engagement at no additional cost until we hit it. The SLA is enforceable because we measure weekly active usage per role per week from day one, not at a year end review.
- Does this work alongside our own learning and development team?
- Yes, and that is the most common shape. We do the workflow mapping, agent design, and prompt library. Your L&D team operates the training cadence with our materials, and the department champions we credential become your standing AI enablement bench. About 70% of our enablement clients keep us on a light retainer afterwards for prompt refresh, not for ongoing training delivery.
- What if our team is anti AI?
- Then we do not start with training. We start with a single workflow inside a single team and ship one obvious, ten minutes a day win. The training comes after the proof, not before. Forcing AI training on a skeptical workforce is how rollouts die in week three. We have turned around several engagements that started this way.
- How do we know people are actually using it?
- We measure weekly active usage by role, not just attendance. Each cohort has a small set of target workflows, prompts, and agents, and we track which ones are used after training. If usage stalls, we adjust the workflow, refresh the prompts, and coach the managers who own adoption.
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