Use case 1
Margin improvement workflow
Finds repeatable work across departments, automates the safe steps, and routes exceptions to the right owner.
For PE operators, portfolio CEOs, COOs, CFOs, product leaders
01
AI operating leverage for PE-backed companies.
PE-backed companies are under pressure to do more with less: improve margins, reduce manual work, keep customers happy, and keep shipping. OpenNash builds AI workflows across the business so teams can move faster without adding headcount or losing control.
01
The work that is quietly eating margin.
Increase margin. Reduce cost. Keep velocity.
1Headcount grows faster than revenue
2Manual work is buried across inboxes, spreadsheets, CRM, ERP, and helpdesk
3Customer operations scale by adding people instead of improving workflow
4Product and engineering velocity slows under support, implementation, and internal requests
5Leadership cannot see which workflows are costing margin
6AI pilots exist, but nothing has changed how the business runs
02
The closed-loop system OpenNash builds.
Same operating pattern, tuned to Portfolio Ops workflows.
01 Intake
Capture
Read work from the tools your team already uses.
02 Reason
Decide
Classify, retrieve context, choose the workflow, and flag risk.
03 Draft
Produce
Create the response, report, memo, update, or work product.
04 Approve
Control
Route judgment-heavy or sensitive actions through human review.
05 Learn
Improve
Measure outcomes, exceptions, quality, and cycle time.
Feedback loop: every completed workflow becomes a signal for the next version.
03
High-value use cases.
Start where the volume, pain, and business value overlap.
Use case 2
Customer operations agent
Handles support, onboarding, renewals, and account requests with human review where judgment matters.
Use case 3
Back-office automation
Automates AP, AR, reporting, approvals, reconciliations, and document-heavy admin work.
Use case 4
Product velocity assistant
Summarizes customer feedback, support themes, implementation blockers, and internal requests so product and engineering stay focused.
Use case 5
Revenue operations workflow
Cleans CRM data, researches accounts, drafts follow-ups, and keeps pipeline actions moving.
Use case 6
Portfolio operating dashboard
Turns workflow volume, cycle time, exceptions, cost, and quality into operator-ready reporting.
Related service pages:
AI agent consulting /
AI agent pricing
04
Before and after.
Representative outcomes depend on scope, data quality, systems, and volume.
Before
Manual drag
- Manual work grows with every new customer
- Support and implementation pull product off roadmap
- Back-office teams chase exceptions all week
- Leadership sees cost after it already happened
to
After
AI-enabled ops
- Workflow volume handled without matching headcount
- Product stays focused on roadmap and customer signal
- Operators review exceptions instead of every task
- Margin, cost, velocity, and quality become visible
Manual workload
-30-50%
Representative range
Cycle time
-40%
Representative range
Team capacity
+20-35%
Representative range
Workflow visibility
Real time
Representative range
Next step
Find the workflows constraining your portfolio company.
Book a 30-minute meeting or email [email protected] with the workflow that hurts, the tools involved, and what success would look like in 90 days.