The AI Adoption Accelerator runs before any solution is proposed. Tayana works with your staff by department, showing them what AI can realistically do in their specific roles and recording the use cases they identify. The output is a prioritized list generated by the people who will actually use it.
Most AI projects stall because the people expected to use the solution had no part in choosing it. When staff generate their own use cases, they arrive at implementation already committed.
Scope and audience mapping
Tayana reviews your departments, roles, and current systems. You confirm which groups attend and which processes are in scope.
Session design
Sessions are built around your actual environment, referencing your industry, your workflows, and the tools your staff already use.
Facilitated sessions
Small-group sessions run by department. Each group identifies where AI would help in their specific role.
Use case collection
Every use case identified is captured by department and role, and added to a shared catalog.
Prioritization
Tayana reviews the catalog with you and identifies the two to four most viable pilot candidates.
Readout and recommendation
You receive the full catalog, a written readout, and a clear recommendation for next steps.
1 to 3 Weeks
Training typically runs one to three weeks, depending on the number of departments and sessions in scope. Most engagements cover three to six departments across four to eight facilitated sessions.
From $1,000
Larger engagements spanning multiple departments or locations are priced based on scope. Budget about 4 hours per learner.
An awareness course ends with a slide deck. This training ends with a use case catalog your staff generated, organized by department and ready to scope.
Staff who generate the use cases are the same people who will use the solution. When they identify their own problems, adoption follows without a separate campaign.
Resistance comes from uncertainty. When staff see what AI does in their specific role, and what it does not replace, most sessions produce more use cases than expected.
Yes. One department is a reasonable starting point. That catalog is often sufficient to scope a pilot and justify the next phase.
You keep the use case catalog and the written readout. Many clients use those documents to build an internal business case six to twelve months later.
This is Tayana's standard starting point for any engagement. When a pilot follows training, scoping is faster because the use case is already validated by the people who will use it.
Book a thirty-minute call. We will confirm whether the AI Adoption Accelerator is the right starting point for your situation, or whether a different approach fits better.