Your Team Is Already Using AI
AI Enlighten helps growing companies bring clarity and guardrails to early AI adoption—before risk and chaos set in.
The Challenge We Solve
Most mid-sized companies reach the same moment:
● Teams Start Using AI Enthusiastically
● Leadership Has No Clarity
● Ownership, Escalation & Risk.
That’s where AI Enlighten helps —
Before Mistakes Become Liabilities.
- Our Approach
What AI Enlighten Actually Delivers
All delivered through a human-centered approach designed for early-stage AI adoption.
1
Organizational Clarity
Define who owns what before problems arise.
2
AI Use Guardrails
Lightweight, practical norms — not heavy governance.
3
Aligned Leadership
Shared language, expectations, escalation pathways.
4
A Clear Path Forward
From experimental use to deliberate adoption.
- Ways to Work With AI Enlighten
Choose Your Starting Point
Built for growing companies navigating early AI adoption — before things get messy.
AI Readiness Snapshot
Pricing:
Starting in the low five figures
Fast clarity. Minimal disruption.
For leaders who know AI is already in use and want a clear, grounded picture of where they stand.
What you get:
Rapid assessment of current AI use across teams
Leadership alignment interview
Identification of hidden risks and decision gaps
Clear “what matters now / what can wait” summary
You leave with clarity, not a report.
Most Popular
AI Responsibility Playbook
Pricing
Scoped based on team size and use cases
Practical guardrails without bureaucracy.
For teams already using AI who need shared rules, ownership, and decision clarity.
What you get:
Ownership & decision-mapping for AI use
Practical guardrails (do / don’t / ask first)
Leadership expectations and escalation paths
Internal communication guidance for teams
AI use becomes intentional instead of accidental.
AI Leadership Enablement
Pricing
Multi-phase engagement
Guided adoption as AI use expands.
For companies ready to scale AI use thoughtfully across teams and roles.
What you get:
Leadership workshops grounded in real workflows
Role-specific enablement (not generic training)
Applied scenarios and decision exercises
Ongoing reinforcement and check-ins
Leaders model responsible AI use as it scales.