PE funds face a specific challenge: 10 or 20 companies, each at a different stage of AI readiness, all with pressure to show P&L impact. We've built a playbook for exactly this. From portfolio-wide assessment to company-by-company deployment — in weeks, not quarters.
Each portco is largely independent — different tech stacks, different engineering talent, different leadership. There's no central team to drive adoption. What works at one company may not translate to the next.
Hold periods don't wait. The window to show operational improvement is 18-24 months. That leaves no time for multi-year AI transformation programs or pilots that never graduate to production.
Engineers across the portfolio are already using Copilot, ChatGPT, and Cursor — on personal accounts, without data policies, without enterprise contracts. The risk is real. The upside is being left on the table.
We score each portfolio company across five dimensions: current AI adoption, data infrastructure readiness, highest-friction workflows, leadership appetite, and path to value. Output: a ranked list of where to start, why, and what each company needs to get there.
We start with the 2–3 highest-readiness companies. Full build — use case selection, development, change management, and production deployment. We move fast because we've done this before.
What we build for Wave 1 becomes the playbook for the rest. Shared governance, standardized tooling, trained champions at each company. The program compounds — each new company benefits from everything the previous ones learned.
Developer productivity programs (AI coding tools, training, adoption infrastructure)
Back-office automation (AP, invoice processing, reporting, compliance workflows)
AI-assisted code review and testing agents
Internal document and knowledge base AI
Customer-facing feature pilots (within existing products)
Portfolio-wide governance and AI operating model
For a mid-market PE fund with 15 vertical SaaS portfolio companies — healthcare, compliance, field services, workforce management — we built a full 12-month AI implementation program. Starting with a portfolio-wide diagnostic, we scored every company on AI readiness, data infrastructure, and workflow friction, identified Wave 1 companies, and stood up a developer productivity program across 120 engineers in the first 90 days. A governance framework and AI operating model were live portfolio-wide by Month 2. The program is currently in Month 6 execution.
See full program overview →Hand us the mission. We run a rapid assessment of your full opportunity landscape, build the roadmap, prioritize ruthlessly, and execute. You get strategy and delivery in one team — no handoffs, no gaps.
Best for: companies without an AI roadmap yet.Already know what you want to build? We come in fast, validate the use case, and ship a production-ready solution in weeks. No retainer, no strategy tax.
Best for: companies with a specific use case ready to build.Thanks for your interest in deployly.ai. Tell us about your portfolio and what you're trying to build, and we'll get back to you within one business day.
We'll be in touch within one business day.