Productive Edge helps healthcare organizations decide what AI to pursue, govern it, build it, and scale it, working with forward-deployed healthcare teams and Boost Health AI, our reusable AI acceleration system.
Traditional consulting scales by adding people. Traditional software scales by adding dependency. We believe AI creates a better model.
Small, senior, AI-native teams.
Our reusable Boost assets transfer to you, not just the code written for your project.
Build in the client environment and transfer the model.
We are a healthcare AI acceleration company. Our strategists, architects, engineers, Scouts, and Builders work directly with your teams to turn valuable AI opportunities into governed production systems.
We bring Boost Health AI, our reusable acceleration assets, so no initiative begins from zero. Boost is not a platform you rent. It is how we accelerate systems that end up yours.
Healthcare strategists, product leaders, architects, engineers, Scouts, and Builders, embedded with your teams.
Reusable portfolio, delivery, governance, and AI engineering assets, so no initiative starts from zero.
Working systems in your environment, under your standards, owned by you.
Eighteen years of disciplined software delivery.
Strategists, architects, engineers, Scouts, and Builders.
Chicago HQ, Boston, Lublin, Bogotá, Quito.
We don't advise from the sidelines. We build alongside our clients.
Choose the right opportunities.
Create the decision system.
Ship production systems.
Make every cycle better.
Not more AI activity. A repeatable system for producing measurable AI value.
Senior teams work directly with your business and technology leaders, shaping problems, making decisions, building solutions, and transferring capability.
Strategy / Scouts / Product / Architecture / Builders / Engineering / Delivery
Reusable portfolio, delivery, governance, and AI engineering assets, brought into your environment so no initiative begins from zero.
Every consultancy leaves you owning the code it wrote. We go further: the reusable Boost components, patterns, and configured factory we bring to the work transfer to you as well. They run in your environment, on your stack, under your standards, and your teams can operate and extend them without us.
The reusable Boost components we bring transfer to you, not just the project code.
Runs on the cloud, models, and data platforms you already selected.
Model-agnostic and platform-agnostic. Nothing requires our stack.
Capability transfer is part of delivery, not an upsell at the end.
We leave behind working systems and the capability to keep building them.
Productive Edge works with healthcare organizations across payers, providers, integrated care, and health technology.
Payers, administrators, and regional & national plans modernizing operations with governed AI.
Hospitals, integrated delivery networks, and academic medical centers strengthening care & operations.
Healthcare platforms, services, analytics firms, and digital health innovators.
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Building the Software Factory for Healthcare
AI coding tools are already changing how developers work. The bigger opportunity is changing the delivery system around them. Join Microsoft, Productive Edge, Detego Health, and healthcare technology leaders for a focused morning on how organizations can move from fragmented AI-assisted development to governed, repeatable AI-native delivery.
We'll explore the AI-native SDLC, software factories, operating-model changes, and how low-code, pro-code, and AI-enabled engineering can work as one enterprise delivery model.
Detego Health will join the opening keynote to share a real-world healthcare perspective on applying AI-native approaches to technology delivery.
Each session runs as a focused morning. Select your city on the registration page.
You have plenty of AI ideas, but they live across spreadsheets, pilots, business teams, IT teams, innovation groups, and vendors.
Priorities are inconsistent. Ownership is unclear. ROI is difficult to compare. Similar pilots may be running in parallel. Leadership can see activity, but not always a clear path from idea to value.
We help create a governed AI portfolio that connects opportunity intake, business value, feasibility, risk, ownership, stage gates, delivery decisions, and ongoing measurement.
Our team works with your leaders to create the decision model. Boost Health AI helps make that model repeatable and visible.
The demo worked. The POC impressed people. Then progress slowed.
Production introduces integration, architecture, security, data, governance, testing, workflow, ownership, and operating-model questions that the pilot was never designed to answer.
We assess what is preventing the solution from becoming production-ready, then create a practical path forward across product, architecture, engineering, governance, and deployment.
Where appropriate, our AI-native Software Factory and forward-deployed teams can take the approved intent through production delivery.
Business users are creating agents, automations, low-code solutions, and AI-enabled workflows. Developers are using copilots and coding agents.
But the organization has not yet defined where citizen development should stop, where professional engineering should begin, who owns what, or how solutions move safely into production.
We help create the operating model around enterprise AI delivery, including decision rights, governance, approved pathways, and when work should Consume, Compose, or Build.
The goal is not to slow innovation down. It is to give it safe, scalable pathways.
You already know the problem. The use case has value.
What you need now is a senior team that can shape the intent, make architecture decisions, and move quickly into real production delivery.
A forward-deployed PE team works directly with your business and technology leaders to turn the opportunity into build-ready intent and deliver it through an AI-native engineering model.
We bring reusable assets through Boost Health AI so the work does not begin from zero.
Your developers are already experimenting with Copilot, Claude Code, Codex, Cursor, automation, or other AI tooling.
But the underlying SDLC, team structure, quality model, architecture process, governance, and delivery economics have not fundamentally changed. AI is improving individual tasks, but not yet changing enterprise throughput.
We help assess the current delivery model and identify what needs to change to move from fragmented AI assistance toward an AI-native SDLC.
That includes people, roles, workflows, architecture, governance, tooling, measurement, and the use of AI agents throughout the lifecycle.
Productive Edge helps healthcare organizations turn the right AI opportunities into governed production value, faster.