Training & Adoption

Your team has the AI tools. Almost nobody is using them.

Licenses get bought. A webinar gets run. Three months later a handful of enthusiasts are getting real value and everyone else has quietly gone back to the old way. We train people on the work they actually do, run the rollout that follows, and stay until the habit holds.

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The real problem

Adoption doesn't fail on the technology.

It fails in the gap between a generic demo and Tuesday morning. In our experience the same three things go wrong.

Training that isn't about their job

A general tour of the tool teaches someone what the buttons do. It doesn't teach the paralegal what to do with a 90-page deposition, or the quality manager what to do with a deviation report. People don't adopt capabilities. They adopt a better way to finish a task they already own.

No one is allowed to change the process

Staff are handed a tool and told the process stays the same. So the AI becomes an extra step on top of the work rather than a replacement for part of it. Adoption requires someone with authority to retire the old step.

Support ends when the session does

The first real question arrives a week later, when the trainer is gone. Without somewhere to take it, the user concludes the tool doesn't work for their case — and that conclusion is very hard to reverse.

How we work

Train, roll out, then make it stick.

Three stages. Most teams start at the first and continue into the next two, but each stands on its own and you can stop after any of them.

01 — Training sessions

A defined curriculum built around your roles and your documents, not a product tour. Live, hands-on, and taught against work your people recognize. Everyone leaves having done the thing, not having watched it.

Role-based tracks — practitioners, reviewers, leaders
Taught on your material, under your data rules
Where AI is wrong, and how your people catch it

Fixed fee · scoped to curriculum and cohort size

02 — Rollout & activation

Training creates capability. Rollout creates usage. We sequence the cohorts, redesign the steps AI is meant to replace, set the guardrails, and work the org chart — because the manager who blesses the change matters more than the tool.

Cohort sequencing and champion enablement
Process redesign — the old step actually retires
Usage and quality tracking from week one

Per seat · priced to the population being activated

03 — Sustained adoption & CoE

The habit is fragile for about two quarters. We stay on as day-to-day support for your users, keep the material current as the tools change, and stand up an internal center of excellence — so the capability ends up owned by you, not rented from us.

Day-to-day user support for your people
Internal champions trained to teach the next cohort
A center of excellence with a real charter

Monthly retainer · scales down as your team takes over

The curriculum

Built from your work, not from a slide library.

Before we teach anything we sit with the people who'll use it and find the tasks worth changing. The curriculum is assembled from those tasks. That's why it transfers.

Working with AI on real documents — drafting, summarizing, extracting, and reviewing against the material your team handles every day.
Judgment and verification — where these systems fail, what a wrong answer looks like in your domain, and the check that catches it before it ships.
Data handling and confidentiality — what may go in, what may not, and how the audit trail is preserved. Non-negotiable in regulated environments.
Building small automations — for the technical members of the team, so improvement continues without us.
Leading an AI-enabled team — for managers: what to expect, what to measure, and what to stop asking people to do by hand.

# Evata curriculum — assembled per client
cohort: quality-operations
roles:
  - practitioner
  - reviewer
  - manager
grounded_in:
  - deviation_reports
  - sop_library
  - audit_findings
modules:
  - task: draft deviation summary
  - task: review SOP for impact
  - check: verify before release
  - guardrail: what never leaves
outcome:
  measured: time-to-close
  owner: internal champion

How we hold ourselves to it

Attendance is not a result.

We agree on what adoption means for your team before the first session — then report against it. If usage doesn't move, we've failed, and we'd rather find that out in month one.

Role-based

Taught against the work each person actually owns

Hands-on

People leave having done the task, not watched it

Measured

Usage and quality tracked against a baseline we set together

Where training fits

Sometimes training is the whole answer. Often it isn't.

If your team already has good tools and simply isn't using them, training and rollout will solve it, and we'll say so. But if the tools were never right for the work, more training won't help — you need the workflow rebuilt underneath. We'll tell you which one you're looking at before you spend money on the wrong one.

That honesty is the point of the assessment, and it's why training sits at the end of our process rather than in place of it: assess, build, deploy, then enable.