Building Self-Healing Automation Systems
The dashboards glow green while effectiveness quietly erodes. Automation drift is inevitable; the question is whether your systems can heal themselves.
Read on the web →What Your Board Wants from AI in the Next 12 Months
A checklist of what directors actually want to hear about AI over the next twelve months, plus how to brief them.
Download the resource →Telemetry of Work – What It Really Means
The digital exhaust of how work actually gets done: every click and handoff captured as data, like Formula 1 telemetry for the enterprise.
Read the explainer →A cartoon, a teaser, and a little levity.
Lin-Manuel Miranda's Democratic Creativity
I am sure many of you are fans of the historical musical – Hamilton. While creating Hamilton, Lin-Manuel Miranda didn’t just write in isolation. He brought in collaborators early, held “Ham4Ham” videos with the cast, and continually refined the work based on feedback. His leadership style was remarkably inclusive—every voice mattered, from leads to ensemble.
Leadership Takeaway for Executives:
- Collaborative Creation — Great visions become reality through collective input, not individual genius.
- Celebrate the Process — The “Ham4Ham” videos helped maintain high energy during the long development journey.
- Value Every Voice — Innovation often comes from unexpected sources within your organization.
Transformative leaders know that their job isn’t to have all the answers—it’s to create the conditions where answers emerge.
The Process Automation Race
Two companies adopt process automation:
- Company X waits for a “perfect” automation solution for 6 months, then implements perfect automation that reduces task time by 90%
- Company Y implements 60% automation immediately, then improves by 10% each month
Assuming both start with 100 hours of manual work per month, after how many months does Company Y overtake Company X in efficiency?
Answer: 9 months. Company X: 100 hours for 6 months, then 10 hours ongoing. Company Y starts at 40 hours (60% automation), with monthly improvements: 36, 32.4, 29.16… By month 9, Company Y reaches ~13.1 hours, while Company X is at 10 hours. However, Company Y’s cumulative time advantage from earlier automation makes it more efficient overall.
Digital Transformation Reality Check
Question 1: What percentage of digital transformation initiatives typically fail to meet their objectives?
a) 30-40%
b) 50-60%
c) 70-80%
d) 90-95%
Question 2: What’s the primary reason most digital transformations fail?
a) Insufficient technology investment
b) Lack of executive support
c) Poor change management and cultural resistance
d) Inadequate IT infrastructure
Question 3: In successful transformations, what role do employees play?
a) Passive recipients of new technology
b) Active collaborators in redesigning processes
c) Obstacles to overcome
d) Cost centers to minimize
Question 4: What should be the first step in any AI transformation?
a) Buying the latest AI tools
b) Hiring data scientists
c) Understanding current processes and pain points
d) Setting up cloud infrastructure
Question 5: How long do most successful AI transformations take?
a) 3-6 months
b) 6-12 months
c) 1-3 years
d) 5+ years
Answer at the foot of the issue ↓
Digital Transformation Reality Check
Correct Answer: c) 70-80%
Correct Answer: c) Poor change management and cultural resistance
Correct Answer: b) Active collaborators in redesigning processes
Correct Answer: c) Understanding current processes and pain points
Correct Answer: c) 1-3 years