Case Study

Private Equity Workforce AI Upskilling Initiative

Ajaia trained 2,000+ employees across the firm and its portfolio, achieving 85% workforce AI adoption and 35–45% efficiency gains in diligence, reporting, portfolio communication, and day-to-day operations. Teams also learned how to build their own AI agents to accelerate repeatable workflows.

Client

Client

A leading private equity firm with a national portfolio

Industry

Industry

Finance | Private Equity

Duration

Duration

3 days

AJAIA
Services

AJAIA
Services

Training & Enablement

Tech Stack

Tech Stack

Training-focused engagement

The Opportunity

The firm needed an enterprise-wide AI capability that accelerated high-value workflows without increasing headcount. Analysts, associates, and operating partners were spending hours on manual synthesis and reporting cycles, and the firm sought a scalable way to upskill all 2,000+ employees.

Key Challenges

  • Analysts and associates spent hours per week manually consolidating data for diligence and reporting.

  • No standardized approach existed for safe, compliant AI usage across the firm and its portfolio.

  • Adoption varied across teams, with no unified AI literacy baseline or shared best practices.

  • Deal teams lacked tools or training to build repeatable AI workflows or custom agents to accelerate tasks.

Ajaia delivered a tailored AI upskilling program that enabled PE professionals to integrate AI into high-value workflows like diligence review, financial synthesis, investment memos, and portfolio communication. The initiative established a firm-wide AI capability that boosts speed, quality, and analytical depth without additional staffing.

The Process

Step 1: Discovery Session
Identified priority workflows across diligence, deal communication, portfolio reporting, and internal operations to align training with the highest ROI-impact areas for 2,000+ employees.

Step 2: Training Preparation
Developed PE-specific exercises and best-practice guides tailored to the workflows and responsibilities of the firm’s large, distributed workforce.

Step 3: Live & Asynchronous Training Delivery
Delivered hands-on training for analysts, associates, operating partners, and corporate staff, showing how to use AI to accelerate synthesis, reporting, and communication at scale.port teams.

Step 4: Resources & Ongoing Enablement
Provided reusable templates, workflow guides, onboarding materials, and customizable agent frameworks to support long-term capability across all 2,000+ trained employees.

Key Capabilities

Standardized AI Usage Framework for Deal Teams

Provided clear guidelines for analysts, associates, and operating partners on how to use AI safely and effectively across diligence, modeling support, reporting, and communication.

Universal AI Access for All 2,000+ Employees

Ensured every member of the firm had equal access to AI tools and training, enabling consistent capability development across deal, operations, and corporate functions.

AI Literacy for Analytical & Operational Workflows

Training focused on real tasks such as memo drafting, data synthesis, summarization, benchmarking, and internal communication — tasks that previously consumed significant time.

Build-Your-Own AI Agent Training

Participants learned how to create lightweight AI agents tailored to diligence checklists, reporting templates, communication sequences, and internal operational workflows.

Portfolio-Wide Enablement Materials

The firm received templates and guides that could be shared across portfolio companies, extending the value of the training far beyond the corporate office.

Executive Dashboards for Adoption & Efficiency Gains

Firm leadership gained visibility into usage patterns, workflow improvements, and efficiency metrics across all 2,000+ trained employees.

The Impact

The program transformed how the firm’s 2,000+ employees approached their daily work, creating a unified AI-capable workforce across deal teams, operations, and corporate functions. Efficiency gains of 35–45% were observed across diligence cycles, reporting processes, and communication workflows. The initiative established a scalable, repeatable AI operating model that strengthens both internal execution and portfolio support.

Key Results

  • 2,000+ employees trained across deal, operations, and corporate teams.

  • 90% firm-wide AI adoption sustained across roles.

  • 35–45% efficiency gains in diligence, reporting, and communication workflows.

  • Reusable AI agents and templates deployed across the firm and portfolio.

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