The AI Operating System
The build that makes your firm and its portfolio companies AI-native. One governed system: a secure foundation, a unified data layer, the modules your firm runs on, and agents that work across them. Bigger than a single build, deployed in your cloud, scoped per firm.
Most firms accumulate AI tools: a screener here, a chat assistant there, a reporting script someone wrote. None of them share data, none of them share governance, and none of them compound. A pile of tools is not a strategy.
The AI Operating System is the alternative: the actual system that runs your firm on AI, from deal sourcing to LP reporting, built on one foundation with one data layer and one governance plane. It is the destination the smaller engagements lead to, and the thing the AI Operating Partner retainer keeps running. This page is the build; the retainer is the advisory partnership that sustains it.
Vendor-neutral across Microsoft 365 Copilot, ChatGPT Enterprise, Claude, and Gemini: we build on your stack.
By Dr. Leigh Coney, Founder of WorkWise Solutions
Four Layers, One System
An operating system is not a feature. It is the layered architecture underneath the features, the part that makes the modules share data, share governance, and compound. We build all four.
Secure Foundation
Deployed in your cloud, under your security settings: deal-data segregation, MNPI rules, access controls, retention, and an audit trail. Zero-retention processing, so nothing trains public models. This is the layer compliance and LPs ask about, built first.
Unified Data Layer
One place the system reads from: data room, fund admin, CRM, document stores, and licensed market data, connected once and governed once. The reason a screener and a reporting module can share the same source of truth instead of each holding a private copy.
The Modules
The capabilities your firm actually runs on, each built to your workflow and wired into the foundation and data layer. You do not buy all of them at once; you stand up the ones that pay first and add the rest as the system grows.
One Workspace
Where the team actually works, with agents that move across modules: pull a comp set in research, carry it into a screen, draft the IC section, and update the portfolio view, without re-keying between disconnected tools. One surface, one login, one set of rules.
The Modules Across the Lifecycle
Each is a build in its own right (a Custom Build), but inside the Operating System they share the foundation and the data layer. Examples of what we build; the mix is yours.
Market & Deal Radar
Sourcing and market intelligence that surfaces high-fit opportunities in real time.
AI Deal Screener
CIM analysis and deal scoring against your criteria, turning hours of review into a focused pass.
Deal Execution Copilot
Diligence acceleration and IC memo drafting, on the documents in the data room.
Portfolio Nerve Center
Financial, operational, and market data pulled together across the portfolio, with early-warning signals.
Board Pack Automation
Board packs and ESG reporting generated from live portfolio data.
Investor Reporting Engine
LP and investor reporting built from portfolio data into institutional-grade quarterly packs.
Built From Priced Parts
The Operating System is the biggest thing we build, so it is scoped per firm. But it is not a mystery number. It is assembled from parts that each have a published price, fixed-scope and fixed-price once the modules are chosen.
Most firms phase it over a year: foundation first, then the modules that pay back fastest, then the rest.
- + from $25KThe governed foundation is a Secure Platform Rollout: tenant, security, connectors, and the data layer, priced by firm size.
- + from $75KEach module is a Custom Build on your stack, wired into the foundation.
- + integrationThe system layer ties the modules to one data layer and one workspace, with agents that work across them.
- from $10K/moOptional, to keep it compounding: the AI Operating Partner retainer runs and grows the system after launch.
A first phase is usually a foundation plus two or three modules, integrated. You get a fixed proposal before anything is built.
The Firm, Then the Portfolio
The same architecture runs at two levels. At the fund, it makes the deal and portfolio teams AI-native. At a portfolio company, it makes the operating business AI-native, scoped to that company's functions rather than the fund's.
For sponsors that turns into a repeatable value-creation play: stand the system up where it pays, and track adoption across the portfolio. Sequence it with an AI assessment first, then build where the return is real.
Why a system beats more tools
- ✓One data layer: no ten copies of the same data going stale in ten tools.
- ✓One governance plane: MNPI rules and audit trails defined once, not per tool.
- ✓It compounds: each module makes the next one cheaper, because the foundation is already there.
- ✓You own it: in your cloud, your IP, no recurring license on what we built.
You Do Not Start Here
An Operating System is a destination, not a first purchase. Most firms arrive in steps, and every step stands on its own.
Readiness Sprint
Platform decision, use-case map, and roadmap. The blueprint for the system. $8,500.
Firm AI Rollout
The governed foundation: tenant, security, connectors, data layer. From $25,000.
The Modules
Stand up the capabilities that pay first, each a Custom Build. From $75,000 each.
Integrate & Sustain
Tie it into one system, then keep it compounding with the AI Operating Partner retainer.
Build the System If...
You already run two or three AI tools and they do not talk to each other or to your data.
You want AI across the whole lifecycle, sourcing to LP reporting, not one bright spot.
Governance has to be defined once and hold everywhere, for LPs and for examiners.
You want the system in your cloud, owned outright, not rented from a SaaS vendor.
You are a sponsor who wants the same capability across portfolio companies, repeatably.
A first Custom Build worked, and now you want the rest of the firm to run the same way.
AI Operating System FAQ
What is an AI Operating System, exactly?
The build that makes your firm AI-native: a secure foundation, a unified data layer, the capability modules you run on, and agents that work across them, deployed in your cloud as one governed system. The opposite of a pile of disconnected tools. The guide What Is an AI Operating System goes deeper.
How is it different from the AI Operating Partner?
This page is the build, what you own. The AI Operating Partner is the advisory retainer that runs and grows it after launch: office hours, build slots, usage reviews, and governance upkeep, from $10,000/mo. You can own the system without the retainer, but the retainer is how most firms keep it compounding.
How is it different from a Custom Build or a Rollout?
A Secure Platform Rollout turns on one platform; a Custom Build is one module. The Operating System integrates a governed foundation and several modules into one system with a shared data layer. Rollout and Custom Build are its parts.
What does it cost?
It is scoped per firm, because the module mix differs. It is built from priced parts (a Rollout foundation from $25,000 plus modules from $75,000 each) and is fixed-scope and fixed-price once scoped. Most firms phase it over a year, and a scoping call returns a fixed proposal.
Is our data safe?
It is deployed in your cloud under your security settings, with zero-retention processing: your data is never stored by us and never trains public models. Source code and IP transfer to you. The security foundation is built first, not bolted on.
Book a Scoping Call
Your stack, your priority workflows, and which modules come first. We return a fixed-scope, fixed-price proposal.
Book a Scoping CallThe Parts and the Partner
Firm AI Rollout
The governed platform foundation the system stands on. From $25,000, priced by firm size.
Custom Build
Each module, built to spec on your stack. From $75,000, 60-day warranty, full IP transfer.
AI Operating Partner
The retainer that runs and grows the system after launch. From $10,000/mo.