For teams ready to put AI to work
Learn to use AI on real work, assess the gaps in an application, or implement a selected agent workflow with clear controls.
Before the next AI commitment
Get a grounded view of where AI can help, what the surrounding system needs, and who owns the next decision.
A useful fit
Find what is holding AI back in your applications and workflows. Establish shared knowledge, repeatable processes, and the skills your team needs to keep improving them.
Ways to get started
Learn together, assess an application, or put a selected agent workflow into practice. Each is a separate engagement; you can start with the one that fits.
USD · Primarily remote · Scope and timing confirmed in your proposal
Private working sessions sized for hands-on feedback. We group learners by role and experience, rather than charging for your entire organization.
$3,000
per cohort
Up to 12 learners
Build confidence using AI on the work your team already knows.
Three-hour live lab + a 45-minute follow-up
$5,000
per cohort
Up to 12 learners
Give the team more time to practice and apply feedback.
Six live hours, usually split across two half-days + a 45-minute follow-up
$7,500
per cohort
Up to eight internal champions
Equip the people who will help the rest of your organization learn.
Four–six weeks · four 90-minute sessions + two one-hour office hours
Assessments cover the named applications and workflows. You receive findings and a prioritized improvement scope; remediation is a separate decision.
$3,500
per assessment
One application · up to three workflows · four stakeholder interviews
A bounded review of where AI can help and what is holding it back.
Planning window: about two weeks after access is ready
$7,500
per assessment
Up to two applications · six workflows · eight stakeholder interviews
Examine how work crosses systems and where the handoffs need attention.
Planning window: three–four weeks after access is ready
A separate implementation engagement, scoped after the prerequisites are understood.
$7,500–$15,000
planning budget
One application · one–two workflows · one named agent configuration
Establish the context, instructions and controls for selected agent workflows.
Planning window: three–six weeks after prerequisites are met
Readiness in context
The scorecard covers the workflows and supported scenarios we examine, so your team can act on a clear next step.
Your team decides
What the score means
Context your team can use
Your team can revisit the record as models, vendors, workflows, or priorities change.
How the work moves
Choose the engagement first. Assessments investigate, workshops teach, and implementation establishes and tests the selected workflow. Your proposal sets the scope and timing.
Name the workflow, people, systems, data, and decision that would make the work valuable.
Review the selected applications and run checks with the people closest to the work.
Teach the context and workflows, then agree the prioritized next scope with owners.
The record to keep
Depending on your engagement, keep the assessment findings, reviewed exercises or implementation evidence. A training session or diagnostic score does not establish whole-application readiness.
Name the route
Tell us where AI is being tried, where the work breaks down, and what the next step needs to prove.
