Your portfolio companies are under pressure to drive efficiency, expand margins, and modernize operations, fast. AI can accelerate all three. But only if it's implemented with the same discipline you bring to every other value creation initiative.
Most portfolio companies don't have AI teams. They have operators running businesses who need practical, stage-appropriate guidance on where AI creates value, how to get there without adding operational risk, and how to show measurable ROI within a hold period timeline.
Evaila is the AI enablement partner built for this reality. We combine enterprise-grade methodology with the speed and pragmatism PE-backed companies require.
Talk to Us About Your PortfolioPE-backed companies face a specific version of the AI adoption challenge. They operate with lean teams, compressed timescales, and high expectations for measurable returns. The typical AI consulting approach — six-month assessments, expensive proof-of-concepts, armies of data scientists — doesn't work here.
42% of AI projects fail to move past pilot. In portfolio companies, the cost isn't just wasted investment, it's lost time int he hold period and missed margin improvement targets. The companies that win are the ones that skip the science projects and go straight to value.
Management teams that know AI matters but can't articulate a strategy to the board. Scattered experiments with no governance framework. Workforce anxiety that slows adoption. Data infrastructure gaps that block the use cases with the highest ROI. And operating partners who need a repeatable playbook, not a one-off consulting engagement.
Portfolio AI Assessment: Rapid assessment across portfolio companies to identify where AI creates the highest value-creation opportunity. Prioritized by impact, feasibility, and hold period timeline.
Repeatable Playbook: A standardized AI readiness and adoption framework that operating partners can deploy across multiple portfolio companies — same methodology, tailored execution.
Board Reporting: Clear frameworks for how management should report AI progress to the board, including KPIs, risk indicators, and milestone tracking.
AI Readiness Sprint: Evaluate data, process, and workforce readiness with a 90-day remediation plan. Fast enough for PE timelines; thorough enough to avoid expensive missteps.
Use Case Prioritization: Map the value chain to identify AI opportunities ranked by ROI potential and implementation complexity. Focus resources on 1–2 workflows that move the margin needle.
Workforce Enablement: Training and change management so the team adopts AI tools — not just receives them. Includes governance guardrails to manage Shadow AI risk.
Implementation Support: Hands-on implementation of priority use cases with the Going Broad / Going Deep framework. Prove value early, then scale.
We've partnered directly with PE partners on growth strategy and understand the governance dynamics, performance expectations, and compressed decision making cadence.
We work with the people who run the business: finance, operations, HR, not just IT. Our methodology is built for functional leaders who need practical guidance, not technical deep dives.
Our engagements are scoped for PE timelines. Initial assessment in weeks, not months. Measurable results within 90 days. Designed for hold period timelines where every quarter matters.
One methodology that scales across portfolio companies. Consistent framework, tailored execution. Operating partners get a playbook, not a one-off engagement.
Rapid diagnostic across 3–5 portfolio companies. AI maturity scoring and benchmarking. Prioritized opportunity map ranked by ROI and feasibility. Executive summary for investment committee or board. Delivered in 4–6 weeks.
Full AI Readiness Assessment for one portfolio company. Data, process, and workforce evaluation. Use case identification and ROI modeling. 90-day implementation roadmap. AI Foundations Training for leadership team. Delivered in 6–8 weeks.
Comprehensive AI strategy and implementation across multiple portfolio companies. Standardized playbook with company-specific execution plans. Workforce enablement and change management. Board reporting frameworks and governance structures. Ongoing advisory through implementation phase. Scope and timeline customized to portfolio size.
AI should be a value creation level. Let's build the plan.
Schedule a Portfolio Discussion