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Evolve

Embedded AI Partner

A retained AI partnership for PE and alternative investment firms that want continuous development, not one-off projects. Dedicated build team, rolling sprints, strategic advisory included.

The firms that get 10x from AI are the ones that keep building. One custom system is a starting point. An Embedded AI Partner turns that starting point into compounding capability, month after month.

Andrej Karpathy noted in his 2025 LLM review: "I don't think the industry has realized anywhere near 10% of their potential even at present capability." For PE firms, the gap between what AI can do today and what most firms are actually doing is where continuous development creates compounding value.

By Dr. Leigh Coney, Founder of WorkWise Solutions

Dedicated Build Team
Rolling Development Sprints
Strategic Advisory Included
Priority Access
The Partnership

What an Embedded AI Partner Looks Like

Think of it as having a dedicated AI team embedded in your operations. They're always building, always improving, always finding the next opportunity. This is a continuous development partnership that grows your AI capabilities month over month.

Continuous Development

New AI modules, feature expansions, and capability buildouts delivered in rolling 2-4 week sprints. Your AI infrastructure grows with your ambitions.

Examples: Adding new data sources to your Portfolio Nerve Center. Building a new Deal Screener variant for a different asset class. Expanding your Market Radar to cover new geographies.

Strategic Advisory

Monthly strategy sessions with the WorkWise team to identify the next highest-ROI AI opportunity in your workflow. We stay close to your operations so we can spot automation candidates your team hasn't considered yet.

Priority Build Access

When a new need emerges (a regulatory change, a new fund strategy, an acquisition that requires rapid integration), you skip the queue. Your partnership guarantees priority access to the build team with guaranteed response times.

How It Works

A Continuous Build Cycle

Step 01

Align

Quarterly roadmap sessions to prioritize the next set of capabilities based on your evolving needs. We map business objectives to concrete AI builds so every sprint moves the needle.

Step 02

Build

Rolling 2-4 week development sprints delivering new features, modules, and integrations. Each sprint produces working capabilities your team can use immediately.

Step 03

Review

Bi-weekly demos and feedback cycles to ensure every build hits the mark. Your team sees progress in real time and shapes what comes next.

Step 04

Evolve

Continuous refinement as your data, markets, and strategy change. What worked last quarter gets optimized. What's needed next quarter gets scoped. The system never stops improving.

When It Fits

When Firms Choose an Embedded AI Partner

You've completed a Custom Build and want to keep expanding: new modules, new use cases, new data sources.

Your firm's AI needs are evolving faster than project-by-project engagement allows.

You want a dedicated team that knows your infrastructure, data, and workflows intimately, with no ramp-up time on every new initiative.

You need the flexibility to pivot build priorities as market conditions change, without renegotiating scope each time.

You want strategic advisory embedded alongside build capacity. Not just hands, but a thinking partner.

"One AI system is a tool. A continuous build program is a competitive advantage. The firms seeing 10x returns are the ones that treat AI as an evolving capability, not a one-time project."

Dr. Leigh Coney, Founder of WorkWise Solutions

Compare Your Options

Embedded AI Partner vs. Alternatives

WorkWise Embedded AI Partner Hiring Full-Time AI Staff Ad Hoc Consulting
Ramp-Up Time Zero (team already knows your systems) 3-6 months to hire + onboard Re-ramp every engagement
Cost Structure Predictable monthly fee $200K-400K+ per head (salary + benefits) Variable, project-by-project
PE Expertise Built into the team from day one Depends on who you can recruit Varies by consultant
Strategic Advisory Included (quarterly roadmap sessions) Not typically part of an AI engineer role Separate engagement (extra cost)
Flexibility Shift priorities sprint to sprint Locked to headcount decisions New SOW for every change
Priority Response Guaranteed response times Depends on team bandwidth Depends on consultant availability

Tobias Lutke, co-founder and CEO of Shopify, wrote in a March 2025 internal memo: "Reflexive AI usage is now a baseline expectation. It's the most rapid shift to how work is done that I've seen in my career." For PE firms, the question isn't whether to adopt AI. It's whether you're building fast enough to keep pace.

Frequently Asked Questions

Embedded AI Partner FAQ

How is an Embedded AI Partner different from a Custom Build?

A Custom Build is a single project with a defined scope and deliverable. An Embedded AI Partner is an ongoing partnership with rolling development sprints. Most firms start with a Custom Build, then move to an Embedded AI Partner when they want to keep expanding their AI capabilities without scoping a new project every time.

What does the Embedded AI Partner engagement include?

A dedicated build team, rolling 2-4 week development sprints, quarterly strategic roadmap sessions, and priority response times. The specifics (team size, sprint cadence, hours) are structured around your needs and budget.

Can we change priorities mid-sprint?

Yes. That's one of the main advantages. If market conditions shift, a new fund launches, or an acquisition changes your priorities, we adjust. No new SOW, no renegotiation. We reallocate sprint capacity to what matters most right now.

Do we still own the IP?

Yes, same as a Custom Build. Everything developed under the partnership is yours. Full source code, documentation, and IP transfer. No vendor lock-in.

What's the minimum commitment?

We typically recommend a 6-month initial commitment to build enough capability for meaningful ROI. After that, the engagement continues month-to-month. You can adjust scope or wind down with 30 days notice.

Why not just hire an in-house AI team?

You can, and some firms do both. But hiring a senior AI engineer costs $200K-400K+ per head, takes 3-6 months to recruit and onboard, and that person still needs PE domain knowledge. An Embedded AI Partner gives you an experienced team that already knows your systems, your workflows, and your industry from day one.

Start with a Discovery Sprint

Most retainer relationships begin with a Discovery Sprint or Custom Build. Book a 30-minute call to map your first AI opportunity.

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