Your team is already using AI. The question is whether it's structured, secure, and actually making them better at their jobs — or whether it's a collection of personal ChatGPT accounts leaking your IP into training data.
Generic rollouts fail. Microsoft's own Copilot sits at a 3.3% adoption rate among commercial users. Two weeks — that's how long the average employee uses a generic AI tool before they abandon it.
We do it differently.
Someone in the org needs to own this.
Not the IT department.
Not the CEO who read an article.
A real person who understands the workflows and has the credibility to drive adoption. Most rollouts skip this step entirely.
NO CHAMPION
Buying licenses isn't a strategy.
Without individual intake — actually learning how each person works — you're guessing at what tools to deploy and how to configure them.
Guessing produces the 3.3% adoption rate.
NO PROCESS
Enterprise agreements, zero data retention, permission trees, usage policies.
The security and governance layer that turns "employees using AI" into "employees using AI safely." Skip this and you have a material risk sitting in every browser tab
NO STRUCTURE
Backend Setup: Enterprise agreements, zero data retention, permission trees, usage policies.
Unit Setup: Personalized install per employee — Dev Pack or Office Pack based on intake profile.
Training: One-on-one, hands-on, using their actual workflows.
Agent Creation: Global logic blocks → role patterns → individual workflows. All tested before handoff.
THE BRIEF
Executive Intake: 60 min with leadership. Org structure, tools, pain points, shadow AI audit.
Champion Selection: 3-5 internal champions identified and scored.
Workforce Intake: 60-90 min per employee. Multi category work classifications
Engagement Prep: Risk assessment, tool recommendations, estimate, implementation proposal.
INTAKE
Backend Setup: Enterprise agreements, zero data retention, permission trees, usage policies.
Unit Setup: Personalized install per employee — Dev Pack or Office Pack based on intake profile.
Training: One-on-one, hands-on, using their actual workflows.
Agent Creation: Global logic blocks → role patterns → individual workflows. All tested before handoff.
OPS ENGAGEMENT
Cost Reporting: Monthly spend reports by tool, team, user. Budget vs actual with trend lines.
Seat Optimization: Quarterly usage audits. Who's active, who's idle, reallocation recommendations.
Pattern Maintenance: Pattern library reviewed and updated on every model release. Version control, cleanup.
Adoption Review: Quarterly executive briefing. ROI analysis, expansion recommendations, new hire onboarding.
ONGOING
