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Case Study: Team Enablement

Dev Team Compresses Project Timelines from Months to Weeks

Software Company60 employees30 days to production
2-3x2-3x
Dev Velocity
Dev Team Compresses Project Timelines from Months to Weeks

The Full Story

This software company's dev team was stuck in AI limbo. Some developers were using ChatGPT for everything (including pasting proprietary code). Others refused to touch it. Leadership knew AI could help but worried about security, consistency, and the wild west of individual tool adoption.

We built a structured enablement program: custom AI assistants with guardrails that prevent sensitive data exposure, a library of tested prompts for common development tasks, and hands-on training that got every developer productive. The result wasn't just faster coding, it was a cultural shift where AI became a trusted part of the workflow, not a rogue experiment.

The Challenge

25-person dev team heard about AI tools but adoption was scattered. No governance, inconsistent results, security concerns about data in prompts. Leadership wanted structured enablement, not chaos.

Our Solution

Rolled out structured AI enablement: custom tools with guardrails, prompt libraries for common tasks, hands-on training, and governance policies. AI augments developers; humans own all decisions.

Structured AI Enablement Program

From scattered AI experimentation to governed, productive adoption

1
Team Assessment
HUMAN

Evaluate current AI adoption and needs

  • -Developer survey
  • -Tool usage audit
  • -Security gap analysis
2
Governance Setup
AUTO

Establish AI usage policies and guardrails

  • -Data classification rules
  • -Approved tool list
  • -Security protocols
3
Custom AI Tools
AIAnthropic

Custom tools with built-in guardrails

  • -Code review assistant
  • -Documentation generator
  • -Test case writer
4
Prompt Library
DATA

Library of effective prompts for common tasks

  • -Code generation templates
  • -Debugging prompts
  • -Review checklists
5
Hands-on Training
HUMAN

Interactive workshops for all skill levels

  • -Live coding sessions
  • -Best practices sharing
  • -Q&A and support
6
Guided Adoption
AUTO

Phased team adoption with support

  • -Pilot team first
  • -Feedback collection
  • -Iteration and improvement
7
2-3x Velocity
HUMAN

Measurable development speed increase

  • -Faster code reviews
  • -Reduced debugging time
  • -Accelerated documentation
8
Zero Incidents
DATA

AI adoption without data exposure

  • -No proprietary code leaks
  • -Audit trail maintained
  • -Compliance preserved

The Result

2-3x Velocity Increase

2-3x2-3x
Dev Velocity
2525
Devs Enabled
100%100%
Adoption Rate
30 days30 days
To Production

We went from 'should we use AI?' to 'how did we work without it?' in a month. The governance framework means leadership isn't worried about security, and the team is actually more productive.

CTO Software Company