Where AI value is won

Where AI value is won.

It's won in the Foundation that gets everyone moving in the same direction, the First Mile that picks the right projects, and the Last Mile that earns adoption.

The Foundation

Running AI like a business — and the foundation your synthetic workforce runs on.

The foundation is your AI business plan — a clear vision, strategy, and identity for the program; how you'll define success versus failure; the ROI and payback math that guides every decision; and the criteria and guardrails for how calls get made. It's where you decide what to build, buy, borrow, or partner — evaluated across the AI value stack, and where each fits given the organization's multi-generational technology. Get it right and everyone moves in the same direction, capital lands where it should, and projects compound.

Done right, the foundation is also the setup for your synthetic workforce. The same work — your data and the expertise codified around it, your identity, roles, decision rights, and guardrails — is the operating substrate AI agents need to do real work. It runs on whatever agentic platform you choose. We package it once; then the synthetic workforce is built into everything that follows — it helps pick the projects in the First Mile and earn adoption in the Last Mile. Set the foundation well and you don't just run an AI program — you stand up a workforce that compounds.

First the plan — then the synthetic workforce that runs it.

The First Mile

Picking the right projects — the ones with the conditions for success.

We map the full landscape of AI opportunities and score them on what actually predicts success — ROI and a finance-validated business case, leadership and business-owner support, data access and quality, speed to value, the ability to lift-and-shift and scale, and compounding effects across the portfolio. The winners go to a proof of value, fast — because you don't know what you don't know. Until we prove it on your data, at the accuracy and quality the business demands, no one can be sure it's possible in your environment: the data, the technology, and the business.

If the math doesn't work, we don't build.

The Last Mile

Making sure the AI is adopted, used, and keeps growing.

AI isn't a system you install — it changes how people work, and sometimes what work they do. So we engineer the human side: we re-imagine roles and careers, set the incentives, design for trust, and build the rituals that make using the AI the path of least resistance. This is cognitive and behavioral science — the difference between a model that works and one that's actually used, and keeps compounding.

Start small. Find the kernel. Scale only what works.

Every journey is different

We meet you where you are.

Every fund is on a different AI journey. Some start at the fund level; others hand us a single proof of value at one portfolio company to see us work, then expand. We meet you where you are — at the fund or at a portfolio company — and accelerate performance and profitability with AI.

Value compounds across the portfolio. Reusable artifacts and a data fabric make each subsequent deployment 30–60% less expensive than the last.

"The architecture compounds; the program does not pivot."

Methodology

Inside the Proof of Value.

We don't theorize. We prove it works on your data — fast — before anyone commits to the build.

Conditions for success

ROI & a finance-validated business case · leadership and business-owner support · data access and quality · speed to value · lift-and-shift and scale · compounding across the portfolio · a rapid, working proof of concept.

We triangulate every opportunity through three lenses

XYZ Analysis

If we knew X, we'd do Y, resulting in Z. Every knowledge gap becomes a testable, quantified hypothesis.

Business Case Analysis

Problem, solution, data needs, data availability. If the data isn't there, the project waits.

Operating Model Reimagination

We reimagine the whole domain with AI as the operating layer — not point solutions bolted onto old processes.

What it looks like

2 weeks Discovery & Design sprint
30 days Proof of value
Pilot to production Build, deploy, govern

The model

Speed-to-Value — criteria-gated, not calendar-driven.

AI value is not won in the model. It is won in the Foundation that sets the rules, the First Mile that picks the right project, and the Last Mile that earns adoption. Speed-to-Value runs all three as one tollgated sequence. And every stage is AI-native — we do the work with agents and build your synthetic workforce into the deliverable, so AI is in how we work and in what you keep.

"Phases do not advance because the calendar moves; they advance because the criteria are met."

Architect

Stage 01

Foundation

Vision, policy, strategy, operating model. Sets the rules for everything that follows. We also stand up your synthetic workforce here — the AI harness and data room your agents run on — so the program is AI-native from day one.

Gate: operating model defined · governance live · data fabric ready

Architect

Stage 02

Proof of Value

Three lenses pick the right project. Narrow-slice proof on real data. The first mile. We prove it with agents on your own data — a working slice, not a slide.

Gate: finance-validated case · data HIGH · accuracy met · sponsor commits

General Contractor

Stage 03

Pilot → Production

We build, deploy, and run the proven model to full production — a bounded pilot first, then live deployment, governance, and we own the outcomes. The agents go live in the real workflow, doing the work alongside your operators.

Gate: live outcomes track to the business case · operators using it in the real workflow · production stable and self-sufficient · ready to lift-and-shift

Interior Designer

Stage 04

Scale

Lift-and-shift the proven kernel. Each deployment 30–60% less expensive than the last. Each one reuses the trained agents and data fabric — the workforce compounds across the portfolio.

Gate: architecture compounds · portfolio-wide value locked

The model home

See it before you build it.

Like a model home, a Helix Proof of Value lets you walk through the result before you commit to the build. In weeks, not quarters, we stand up a working model on your real data — with a defined payback, the ROI, and the conditions for scale.

If the conditions aren't there, you find out fast and cheap. If they are, you scale with confidence.

Start with a Proof of Value

30 days

To a working proof of value

≤ 6 months

Typical payback (illustrative)

> 90%

Model accuracy, pharma engagement

Helix Decision Science

AI Imagination to Application™
At speed, scale, and profit.