Pattern 01
Per-holding maturity assessment
The five-dimension scorecard run against each portfolio company gives the PE team a comparable readiness map across the portfolio, and routes investment into the holdings with the biggest unlock.
Who we serve · AI for Private Equity
Four patterns
Pattern 01
The five-dimension scorecard run against each portfolio company gives the PE team a comparable readiness map across the portfolio, and routes investment into the holdings with the biggest unlock.
Pattern 02
Same OS, different architectures. The operating model, Measure → Deliver → Continuously Improve, rolls out consistently across holdings while the architecture stays context-specific.
Pattern 03
Agents productized at one portco compound when redeployed to the next. The platform IP retained on Zyos OS makes engagement-N faster than N–1.
Pattern 04
Per-portco QBR + a roll-up review with the PE team. Value-impact recap + variance vs target + re-prioritization, the artifact the IC can defend.
Primary offering
Productized for build+ops engagements where the spec is intentionally incomplete at signing. The discovery happens IN the engagement, exactly the shape PE value-creation work usually needs.
Primary
Build the transformation, then run it. Customer owns the solution at exit. Scoped per portfolio company, discovery happens in the engagement.
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Secondary
Productized agent workflows for specific portco-level motions , outbound, content, support, finance reconciliation. Same agents redeployable across holdings.
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Exit readiness
Every Architecture Brief addresses ownership, portability, vendor-lock-in mitigation, and the customer's ability to take the solution independent if the Zyos relationship ends. Retention through value, not through capture.
For PE deal teams + operating partners
Start with the holding that has the biggest readiness-vs-upside gap. The Opportunity Engine identifies it.