ENTROPY REDUCTION
Enter a client environment, identify the 'unplanned work' consuming their budget, and systematically automate it away.
The client's IT team is trapped in reactive work. Ticket volumes are high, resolution times are inconsistent, and the same issues keep recurring. The team spends 40-60% of their capacity on unplanned interruptions—leaving no time for strategic initiatives.
Law #1: Entropy — Unplanned work expands to consume all available capacity. Without systematic intervention, chaos compounds. Every firefighting session creates two more fires.
At current burn rate, the client loses 35% of their IT budget to preventable incidents. Their best engineers are trapped in a reactive cycle, burning out while strategic projects slip quarter after quarter.
Reduce unplanned work from 40%+ to under 15% of team capacity within 90 days. Transform the support model from reactive firefighting to proactive prevention through systematic root cause elimination.
- 01Complete ticket taxonomy and classification audit
- 02Root cause analysis for top 20 recurring incident types
- 03Automated runbooks for high-frequency, low-complexity tickets
- 04Weekly entropy metrics dashboard showing unplanned work trends
- 05Knowledge base with verified solutions for common issues
- Ticket aging reduced from 16+ days to under 3 days
- First-call closure rate increased by 40%
- Recurring incident volume decreased by 60%
- Team capacity recovered for strategic project allocation
- •ITSM platform expertise (ServiceNow, Jira Service Management, or equivalent)
- •Scripting/automation skills (PowerShell, Python, or shell scripting)
- •Experience with monitoring and alerting tools
- •Root cause analysis methodologies (5 Whys, Fishbone, Fault Tree)
- •Documentation and knowledge management systems
- •Forensic mindset—you see patterns where others see chaos
- •Obsessive about measuring and tracking improvement
- •Comfort with ambiguity and legacy system archaeology
- •Strong communication skills for stakeholder updates
- •Patience to document before automating
- 1.1Audit existing ticket data to identify top entropy sources
- 1.2Map the 'tribal knowledge' holders and single points of failure
- 1.3Document the current state: resolution times, escalation paths, recurring patterns
- 1.4Establish baseline metrics for entropy measurement
- 2.1Implement ID² classification on incoming tickets
- 2.2Create runbooks for the top 10 recurring issue types
- 2.3Deploy initial automation for L1 ticket resolution
- 2.4Establish weekly entropy review cadence with client
- 3.1Expand automation coverage to 40%+ of ticket volume
- 3.2Train client team on entropy prevention practices
- 3.3Transition from reactive support to proactive monitoring
- 3.4Document lessons learned and handoff procedures