PE Diligence & Attribution Automation
Attribution that holds up when LPs check the work
Diligence review is compressed without trading away rigor, and portfolio company baselines are captured from day one — so the value-creation story at exit is a measured record, not a narrative slide.
Diligence review turnaround
Attribution evidence, captured continuously
Value-creation baseline from day one
The constraints this work removes
Diligence speed gets confused with diligence rigor
AI-assisted diligence can summarize a data room fast, but a confident summary can still miss a risk buried in an inconsistency across documents that requires judgment to spot.
Attribution claims arrive without a baseline
Value-creation stories built only near exit have no measured starting point, making it impossible to separate AI-driven improvement from market tailwinds.
Roll-up integration erodes the automation thesis
AI-driven efficiency pitched pre-acquisition has to survive real system integration across different tech stacks and data quality, which is where a lot of value-creation plans quietly slip.
Capabilities
AI diligence review
Data room review, contract anomaly flagging, and customer concentration summaries produced fast, with the mechanical extraction separated from the judgment calls a reviewer still makes.
Automation durability assessment
Target company AI claims tested for whether they survive without the specific people who built them and whether they depend on data the company actually owns.
Day-one baseline capture
Operational metrics instrumented at the first 100 days of ownership, before any automation is deployed, so improvement has something real to measure against.
Continuous attribution tracking
Metrics tracked on a rolling basis through the hold period rather than reconstructed as a before/after snapshot near exit.
Cross-portfolio playbook packaging
What works in one portfolio company documented so the next deployment costs a fraction of the first.
See it against your own numbers
We start with a diagnostic on your current workflow, then run a parallel-control pilot so the lift is measured, not asserted.
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