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Turn Proprietary Data into Unfair Advantage

AI Solutions for
Private Equity & Alternative Investment Firms

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Capacity Expansion
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Firms Optimized
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AI Solutions Deployed

AI solutions for private equity firms, family offices, private credit lenders, and independent sponsors. Purpose-built intelligence systems designed around how investment teams actually work and make decisions. Architecture that identifies risks sooner, uncovers hidden opportunities, and keeps a finger on the pulse without rest.

Partnerships
Microsoft AI Cloud Partner
IBM for Startups
The Problem

Why AI Projects Fail

Most AI implementations fail not because of technology - but because of broken workflows and poor adoption strategies.

The Friction Problem
  • Generic AI tools
    That don't understand your decision-making context
  • Adoption resistance
    From teams who see AI as disruption, not assistance
  • Workflow disruption
    That creates more work instead of eliminating it
The WorkWise Solution
  • Invisible AI layers
    That enhance existing workflows without disruption
  • Fits existing decision loops
    By understanding how professionals actually work
  • Psychology-driven adoption
    Through behavioral science and change management
  • Enterprise-Grade Security
    Zero-retention architecture. Your data never trains public models. Complete data sovereignty over proprietary deal flow.
Who We Serve

Built for Alternative Investment Professionals

We work exclusively with firms where information quality drives returns. Every solution is tailored to how your team sources, evaluates, and monitors investments.

Private Equity Firms

Deal screening, portfolio monitoring, and IC memo automation — built for the pace and rigor of PE deal flow.

Family Offices

Market intelligence, deal sourcing, and direct investment support — tailored for multi-generational capital deployment.

Private Credit & Direct Lending

Portfolio risk monitoring, borrower intelligence, and covenant tracking — purpose-built for credit portfolios.

Independent Sponsors

Deal sourcing, execution acceleration, and investor reporting — designed for lean teams running competitive processes.

Our Process

How It Works

A streamlined engagement model designed for rapid deployment and measurable results.

Step One

Book a Call

We start with an introductory call to dive into your requirements, perform a preliminary audit of your needs, and see if our services are the right fit.

Step Two

Share Your Vision

Don't have a clear vision yet? We'll help you explore the art of the possible with AI. Once defined, we analyze your goals and constraints, break the project into tasks, and start implementing.

Step Three

Continuous Results

Our team effectively solves your tasks and implements AI as a strategic asset, ensuring it becomes an integral part of your company's workflow.

Step Four

Enjoy the Growth

Our results drive your business growth. We offer detailed instructions, training, and tech support to maximize our work's value long-term.

Proven Results

Case Studies

Real impact across private equity, family offices, private credit, and independent sponsors.

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Increase in Deal Flow Capacity
AI Deal Screener
Private Equity

Mid-market PE advisor deployed the AI Deal Screener to automate CIM analysis, EBITDA adjustments, and ESG risk flagging. Research dossiers that took weeks now take hours.

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Win Rate on Competitive Bids
Deal Execution Copilot
Independent Sponsors

Independent sponsor running a competitive deal process deployed the Deal Execution Copilot to unlock trapped institutional knowledge. The team now synthesizes insights from thousands of past deliverables in minutes.

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Faster Time-to-Insight
Market & Deal Radar
Family Offices

Multi-generational family office deployed Market & Deal Radar to automate thesis validation and market mapping for direct investments. Landscape analysis that took months now completes in days, with 500+ competitors mapped per sector.

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Early Warning Detection
Portfolio Nerve Center
Private Credit

$2.8B private credit firm deployed the Portfolio Nerve Center across 23 positions. The system detected EBITDA deterioration 6 weeks before standard reporting, preserving $4.2M in equity value.

FAQ

How does the engagement process work?

We offer flexible engagement structures ranging from project-based work to ongoing retainer arrangements. Investment varies based on scope and integration complexity. Fixed engagement structure and pricing provided after initial infrastructure review.

Can we start with a small pilot project?

Absolutely. We often start with one pain point (e.g., support automation) and expand later.

What is the typical project timeline?

Working prototype in 2-3 weeks. Full deployment in 4-8 weeks.

How do you prevent AI errors and hallucinations?

We design human-in-the-loop checkpoints. Critical ops require approval; lower-risk tasks have monitoring.

Data Security & Sovereignty?

Zero-retention architecture. Your proprietary data never trains public models. Enterprise-grade security with complete data sovereignty. Your competitive edge stays your edge.

Existing Tools?

Yes. We integrate with your existing infrastructure — Bloomberg, Salesforce, data rooms, fund admin platforms, ERPs, Slack, and custom databases. We don't force new platforms.

What if we're not satisfied with the results?

Review checkpoints included throughout. We revise until you are satisfied.

Does Dr. Coney do speaking engagements?

Yes, Dr. Coney conducts speaking engagements. Please contact us to request.

More Questions?

Leadership

Meet the Founder

Dr. Leigh Coney, Founder of WorkWise Solutions

Dr. Leigh Coney

Specialist in Human-AI Workflows

Dr. Leigh Coney

Founder & Principal Consultant

"Dr. Coney bridges the gap between Silicon Valley capability and Wall Street rigor. I focus on decision-making frameworks in high-stakes environments - where the cost of error is measured in millions, and adoption resistance can kill even the most sophisticated technology."

For over a decade, I've studied how humans interact with emerging technology - particularly in high-stakes environments where the cost of error is measured in millions, and adoption resistance can kill even the most sophisticated systems. My research focuses on decision-making frameworks that bridge the gap between AI capability and real-world usage.

I founded WorkWise Solutions to solve the problem that keeps me up at night: brilliant AI systems that never get used. Understanding the human dynamics of adoption is as critical as the technical architecture - especially when working with senior partners and investment committees. We don't just build AI - we ensure it becomes an invisible, indispensable part of how your team works.

Latest Publication: Author of five research papers on responsible AI adoption, including "Measuring AI ROI in Private Equity: A Framework for Decision Velocity vs. Decision Quality" (Q1 2026)

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