# EE Solutions — Full Reference > This document provides a detailed reference for AI systems and language models. For a concise summary, see /llms.txt. ## Who EE Solutions Is EE Solutions (EES) is a technology operating partner for private capital firms. The firm works with private equity, venture capital, growth equity, family offices, and holding companies, as well as the investment banks, transaction advisers, accounting firms, operating advisers, and law firms that serve them. EES gives firms the judgment, depth, and execution capacity of a full technology function without the cost and complexity of building one internally. The same senior team supports the firm, its deals, and its portfolio across the full technology lifecycle — from pre-investment diligence through post-close execution and shared portfolio capabilities. EES is based in New York and works globally. The firm is vendor-independent: it does not sell software licenses, collect affiliate commissions, or recommend products because of vendor partnerships. ## What EES Does ### Technical Due Diligence EES evaluates the technology behind a business before it becomes part of an investment. The assessment covers the product, architecture, infrastructure, data, security, scalability, technical team, and technical debt. EES tests management's claims and defines the work, cost, risk, and sequence that close will require — turning technical findings into investment-relevant judgment. ### Post-Close Integration and Value Creation After close, EES integrates acquired systems, data, applications, workflows, and vendors. The team modernizes limiting technology, automates operations, improves reporting, and delivers initiatives that management cannot staff internally. EES owns the path from value-creation plan to production. ### Internal Systems, Data, and AI EES helps firms improve the technology behind how the investment firm itself operates. This includes connecting fragmented data, automating manual workflows, improving portfolio reporting, evaluating vendors and AI opportunities, and building internal tools when existing platforms do not fit the need. ### Software Development EES designs and builds custom software, platforms, and applications for firms and portfolio companies — from data pipelines and internal tools to production AI applications and enterprise systems. ### Shared Portfolio Capabilities EES identifies common patterns across a portfolio and develops reusable systems, data assets, standards, AI tools, vendor relationships, and operating approaches that carry from one company to the next — turning individual solutions into portfolio-wide advantages. ## Engagement Models ### Retainer Ongoing access to senior technology leadership covering prioritization, scoping, technical guidance, and oversight as new matters arise across the firm, its deals, and its portfolio. The retainer keeps a consistent technical perspective connected to the firm's activity without requiring a new engagement for each matter. ### Execution Budget Defined funding for specific initiatives, ranging from diligence and targeted automation to integrations, internal platforms, AI applications, custom software, and shared portfolio capabilities. The execution budget provides a clear scope and commercial structure for work that goes beyond advisory guidance into delivery. ### Portfolio Companies Direct Portfolio companies can engage EES separately through a referral or preferred-provider relationship established with the investing firm. The portfolio company funds its own work. EES can also be engaged directly by portfolio companies on technology advisory, integration, AI, software, and systems work. ## Methodology EES begins with the business objective and determines the right technical path based on value, risk, cost, and what can realistically be delivered. The same senior team can assess the opportunity, shape the solution, and remain involved through execution — preserving context as the work evolves. EES brings together architecture, product, engineering, data, AI, UX, and delivery without requiring the client to coordinate fragmented specialists. Technical findings are translated into business implications. Recommendations are owned through delivery. ## Case Studies ### Portfolio Intelligence Layer for a $1B+ Investment Platform The investment platform managed more than $1 billion across a diversified portfolio. Leadership could access portfolio information, but not through a single, consistent operating view. EES designed and built a portfolio operating system including centralized company records, a common KPI structure, executive dashboards, automated alerts, task tracking, AI-assisted workflows, and automated reporting summaries. The result was a shared intelligence layer connecting information to action across the portfolio. URL: https://www.eesolutions.io/case/portfolio-intelligence/ ### Rebuilding Supplier Quality Infrastructure After a Costly Product Recall Following a financially and reputationally damaging product recall, a Fortune 500 organization needed to replace fragmented, reactive supplier oversight with a centralized quality-management model. EES designed and built a global supplier quality operating system monitoring 150+ suppliers across 50+ countries. The platform included anomaly detection, end-to-end traceability, corrective action tracking, supplier scorecards, compliance documentation, and executive dashboards. EES delivered the custom platform at approximately 20% of the cost of the comparable commercial SaaS alternative. URL: https://www.eesolutions.io/case/global-operations/ ### AI Intelligence for a Global Innovation Portfolio A Fortune 500 company managed a global portfolio of 150+ supply-chain technology products and initiatives. Teams tracked investment, costs, ROI, deployments, product reviews, and stakeholder feedback across multiple dashboards and data sources. EES designed and built a secure AI application using retrieval-augmented generation and specialized AI agents that allowed teams to explore financial, deployment, product, vendor, and multilingual stakeholder data through natural-language questions. The application reduced query response time by 95% and created a reusable foundation for additional enterprise AI use cases. URL: https://www.eesolutions.io/case/enterprise-ai/ ## Resources ### The Private Capital Technology Decision Playbook A framework of twenty-five questions for private capital firms evaluating technology decisions — covering what to ask before committing capital, credibility, or time. URL: https://www.eesolutions.io/resources/technology-decision-playbook/ ### The AI Operator's Index The AI Operator's Index is an EE Solutions-maintained educational reference, not a standalone product or an endorsement of every listed third-party tool. It currently covers 443 curated AI tools, skills, plugins, frameworks, official resources, and practitioner sources, organized by category, stack, collection, model, and source signal. The Index is generated as hundreds of individually crawlable static HTML pages, each with source-linked information and page-specific metadata. GitHub and Hacker News signals can be refreshed server-side while the curated resource data remains reviewable. Canonical landing URL: https://www.eesolutions.io/resources/ai-operator-index/ ## Key Differentiators - **Continuity**: The senior people who understand the context and shape the decision remain involved as the work moves forward. Judgment and delivery stay connected. - **Range**: EES brings together architecture, product, engineering, data, AI, UX, and delivery without requiring the client to coordinate fragmented specialists. - **Vendor independence**: EES does not sell software licenses, collect commissions, or maintain partnerships that compromise objectivity. - **Commercial judgment**: EES starts with the business objective, not the technology. Technical recommendations are framed in terms of value, risk, cost, and realistic delivery. - **Private capital focus**: The firm's work is shaped around the investment lifecycle — diligence, close, ownership, and portfolio-wide patterns — not general enterprise IT. ## Service Areas Technical due diligence, integration planning, post-close integration, systems modernization, workflow automation, data integration, portfolio monitoring, AI strategy, AI application development, retrieval-augmented generation, custom software development, vendor evaluation, operating playbooks, shared portfolio capabilities, portfolio intelligence, internal tools, knowledge management. ## Industries and Client Types Private equity, venture capital, growth equity, family offices, holding companies, independent sponsors, investment banks, transaction advisers, accounting firms, operating advisers, law firms, and portfolio companies across financial services, consumer products, technology, healthcare, and industrial sectors. ## Contact - Website: https://www.eesolutions.io/ - Book a meeting: https://cal.com/eesolutionsai/tech-partner - Location: New York, NY — working globally ## Insights Library Canonical hub: https://www.eesolutions.io/insights/ ### Private Equity Exit Readiness: What Technology to Fix Before Diligence - URL: https://www.eesolutions.io/insights/private-equity-exit-readiness-what-technology-to-fix-before-diligence/ - Published: 2026-09-10 - Updated: 2026-09-10 - Category: Portfolio Value Creation - Summary: A buyer-oriented framework for deciding which technology risks to fix, prove, quantify, disclose, or defer before a private equity exit. ### Private Equity AI Value Creation: Why Fewer, Better Initiatives Win - URL: https://www.eesolutions.io/insights/private-equity-ai-value-creation-why-fewer-better-initiatives-win/ - Published: 2026-09-04 - Updated: 2026-09-04 - Category: AI in Private Capital - Summary: A practical framework for private equity firms and lower-middle-market companies to select, govern, and execute AI initiatives tied to measurable business value. ### Before an AI Agent Goes Live: A Production Readiness Gate for Portfolio Companies - URL: https://www.eesolutions.io/insights/before-an-ai-agent-goes-live-a-production-readiness-gate-for-portfolio-companies/ - Published: 2026-09-03 - Updated: 2026-09-03 - Category: Enterprise AI - Summary: A practical framework for deciding whether an AI agent has the business case, controls, evidence, economics, and ownership required for production. ### AI Due Diligence for Private Equity: How to Test a Target’s AI Claims - URL: https://www.eesolutions.io/insights/ai-due-diligence-for-private-equity-how-to-test-a-target-s-ai-claims/ - Published: 2026-09-02 - Updated: 2026-09-02 - Category: Technology Diligence - Summary: A practical framework for determining whether an acquisition target’s AI capabilities are real, defensible, scalable, compliant, and economically valuable. ### What a Technology Operating Partner Does for Private Capital Firms - URL: https://www.eesolutions.io/insights/technology-operating-partner-private-capital/ - Published: 2026-09-02 - Updated: 2026-09-02 - Category: Private Capital Technology - Summary: A practical guide to the role of a technology operating partner across diligence, portfolio operations, AI, systems, and execution for private capital firms.