We help teams move slow so they can act quick
Post-acquisition operations teams face pressure to modernize fast. We help you do it deliberately, automating what should be automated, introducing AI only where it adds value, and reporting progress honestly.
Our work
We work with operations teams at PE-backed companies navigating manual workflow chaos and board expectations around modernization progress. Engagements are structured in small, focused phases that reduce risk and produce measurable improvement.
How we think
Fast usually means wrong. Wrong means slow.
Most modernization fails because it moves too fast.
Teams skip diagnosis and jump to solutions. Automation gets layered onto unstable processes. AI is deployed without understanding the workflow or controls. Progress gets overstated, creating pressure for more bad decisions.
We move deliberately, stabilize first, automate second, introduce AI only where measurable, and report accurately.
Implementations that stick. Operators who trust the tools. Leadership that understands what is happening.
Our framework
The Five Questions
Before automating anything or introducing AI, we ask five questions. They help us decide what to automate now, what to fix first, and where AI actually makes sense. We apply them to one workflow at a time.
- 1
Is the process stable enough to standardize?
- 2
Where is time actually being lost today?
- 3
What data exists and where does it break down?
- 4
What controls are required if something goes wrong?
- 5
Does AI add measurable leverage here or just complexity?
Engagements
Structured and modular
We offer three engagement types with clear boundaries and defined outputs.
Modernization Diagnostic
Timeline: 7 to 10 days
Includes: workflow mapping, friction analysis, prioritized roadmap, AI opportunities labeled clearly as future options
Output: a document usable internally or for leadership updates
Wave 1 Implementation
Timeline: 3 to 6 weeks
Includes: one high ROI workflow automation with operator handoff, monitoring, documentation, and success metrics
Output: a live automation with clear ownership
Support and Expansion
Timeline: monthly
Includes: stability, adoption support, incremental improvements, honest metrics reporting
Output: sustained performance over time
On honesty
We do not claim results we cannot measure. We do not label basic automation as AI. We do not deploy AI without human review and clear controls. If you want inflated claims, we are not the right fit. If you want accurate progress reporting you can defend, we should talk.
Compare notes
If you are leading operations at a post-acquisition company and dealing with manual workflow chaos plus pressure to show modernization progress, we can talk through what we are seeing across similar situations.
davidreisman@laserpointconsulting.com
Schedule a 15-minute conversation →