Arvya helps private equity firms turn portfolio AI ambition into deployed workflows. The model: one workflow per portfolio company, live in 30 to 45 days, built into the systems the company already runs, with a human approving anything consequential and a measured baseline. Sponsors get a repeatable playbook across the portfolio; portcos get a production workflow this quarter instead of a roadmap item next year.
Who this is for
Operating partners, heads of portfolio operations, and AI enablement leads who own portfolio-wide AI value creation.
Portfolio company CEOs, COOs, and CFOs under sponsor pressure to show margin improvement from AI.
Lower- and middle-market sponsors whose companies are too small for frontier-lab partnerships but big enough to feel AI pressure in diligence and operations.
The problem
- One internal AI hire cannot map, build, deploy, train, and measure across ten portfolio companies at once — programs stall after the flagship pilot.
- Every portco runs a different CRM, ERP, helpdesk, and document stack, so nothing transfers without ground-level integration work.
- Value-creation plans increasingly underwrite AI-driven margin improvement, but the proof has to exist before the exit process, not in it.
What Arvya does
- Operates as the implementation pod behind the sponsor's AI lead — parallel deployments across portfolio companies, one scoped workflow each.
- Deploys the high-ROI first workflows: support triage, finance and back-office document intake, sales follow-up from call notes, reporting, CRM hygiene, internal knowledge search.
- Hardens a portfolio playbook with every deployment — integration patterns, adoption tactics, and measurement templates that make the next portco faster.
How it works
Map the highest-ROI workflow at each portfolio company from how the work actually runs today.
Build the human-reviewed AI step into the portco's existing systems, with an eval harness and a measured baseline.
Train the team, measure time saved and adoption, and report results the sponsor can put in front of an investment committee.
Works with
Frequently asked questions
How do PE firms get AI deployed across portfolio companies?
The pattern that works is an internal AI or value-creation lead who owns strategy and prioritization, plus implementation capacity that does the ground-level work in parallel — one scoped, human-reviewed workflow per company with a measured baseline. Arvya provides that implementation capacity.
Which AI workflows should a portfolio company deploy first?
Workflows where the pain is acknowledged, the inputs are already digital, and the output has a natural human checkpoint: support and inbound triage, sales follow-up from call notes, finance document intake, reporting, and internal knowledge search.
Does Arvya replace the firm's AI enablement hire?
No. Arvya multiplies that person. The internal lead keeps strategy, vendor judgment, and management relationships; Arvya carries the parallel implementation work the role cannot physically cover across a portfolio.
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