Workforce intelligence for private equity
PropulsionAI gives private equity deal teams and operating partners an AI workforce intelligence layer for diligence and value creation. Bohdi analyzes workforce data from the data room, surfaces specific risks, and connects findings to the investment thesis, the deal model, and the post-close execution plan.
Illustrative sample findings shown for wireframe purposes.
Built for private equity deal teams, operating partners, and portfolio operations leaders.
The return math has changed
Annual EBITDA growth required to hit target returns has more than doubled. Multiple expansion and cheap debt have faded as value levers, which puts the workforce at the center of every deal model.
Required a decade ago
Required today
Source: Bain & Company, Global Private Equity Report 2026
Multiple expansion is gone. Cheap debt is gone.
The only path to your return target runs through operational performance, and the workforce is what delivers it.
of exit value now comes from operational performance.
Source: BCG, Global Private Equity Report 2026
The diligence gap
Financial, commercial, and legal diligence have dedicated processes and decades of rigor. Workforce diligence rarely does. The problem is not awareness. It is infrastructure. Bohdi turns scattered workforce documents into deal-relevant findings.
In the data room
Deal-relevant findings
Meet Bohdi
Bohdi ingests the workforce data that lives in the data room, surfaces what moves enterprise value, and engages the deal team in a conversation about what the findings mean for the thesis. Source-aware, specific, and connected to the deal model.
Illustrative sample exchange shown for wireframe purposes. Figures are not actual client results.
Before close
The answers are in the data room, but the details are hard to connect and the financial impact is hard to see. Bohdi surfaces what deal teams miss, in dollar and deal terms.
Below-market pay that resets after close and erodes first-year gains before the plan even starts.
Hits first-year EBITDARevenue, relationships, or know-how concentrated in a few people whose exit would reprice the deal.
Concentration risk, namedLeadership gaps and bench depth that determine whether this team can execute the operating plan.
Execution capacityLayers, spans, and reporting lines built for the prior owner's strategy that will resist yours.
Resists the operating planWhere the story management tells diverges from what the workforce data actually shows.
Narrative vs. dataAfter close
The first 90 days are the highest-risk window for talent flight and execution failure. Bohdi helps operating partners and portfolio operations teams move from plan to ownership, fast.
Map the org against the thesis and find where structure supports the plan and where it works against it.
Connect every team and leader to the plan with OKRs and accountability that reach the front line.
Surface the capability, capacity, and leadership gaps that stall execution before they cost a quarter.
Track the workforce signals that move with value creation milestones and report progress to the metric.
Sample workforce diligence report
Specific, named, dollarized, and source-aware. Every finding is tied back to the document it came from and the line in the deal model it affects.
Illustrative sample findings shown for wireframe purposes. Figures are not actual PropulsionAI client results.
How it works
Point Bohdi at the data room. It handles the volume and the mess.
It reads every document and connects findings to the deal model.
Named, dollarized, and source-aware. No jargon, no black box.
Interrogate any finding in a conversation, with sources attached.
Carry diligence insight straight into the value creation plan.
Security and confidentiality
Compensation, workforce, and org data are among the most sensitive material in any deal. Bohdi is designed for confidential diligence workflows.
Built so each engagement can run in its own environment, keeping deal data with the deal.
Workforce and compensation data is not used to train public models, to be confirmed by PropulsionAI.
Findings are tied to the document they came from so the team can review and validate them.
Compensation, workforce, and org data handled with confidential diligence workflows in mind.
Who it is for
Run repeatable workforce diligence at deal speed and protect the model before close.
Turn diligence findings into a workforce execution plan that holds in the first 90 days.
Track workforce signals tied to value creation milestones across the portfolio.
Build workforce diligence into the firm's process as repeatable infrastructure, not a one-off.
Workforce diligence, answered
Workforce diligence in private equity is the analysis of human capital risk during a deal: compensation exposure, key-person dependency, leadership gaps, org structure, and retention obligations. It connects the workforce data in the data room to the investment thesis and the deal model, so deal teams can see how people-related risk affects EBITDA before close.
HR analytics serves an HR department and measures things like engagement, headcount, and turnover for ongoing operations. Workforce intelligence for private equity serves the deal team and operating partners. It translates workforce data into deal-relevant findings tied to EBITDA, the thesis, and post-close execution. The audience, the questions, and the output are different.
The most commonly missed risks are compensation exposure that resets after close, key-person dependency concentrated in a few employees, leadership and succession gaps, org structure friction that resists the operating plan, talent flight risk, and gaps between the management narrative and what the data shows. These are buried in the data room and rarely connected to the financial model.
Yes. AI can ingest the volume of unstructured workforce data in a typical data room, including rosters, org charts, compensation schedules, employment agreements, and equity plans, then surface specific risks at deal speed. Source-aware AI ties each finding back to the document it came from so the deal team can review and validate it.
Workforce risk affects EBITDA through compensation that resets after close, turnover and retention costs tied to key people, leadership gaps that slow execution, and org friction that stalls the operating plan. Missed workforce risk creates EBITDA leakage that often surfaces only when execution stalls, timelines lengthen, and returns erode.
Before close, to pressure-test the workforce behind the thesis during diligence. After close, to turn the value creation plan into workforce execution and manage the first 90 days, the highest-risk window for talent flight. Firms that build it into both stages create repeatable diligence infrastructure that compounds across deals.
Workforce risk moves EBITDA. The firms building workforce diligence into their process today will have an advantage that compounds with every deal.
