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National payer
Accelerated 30+ AI use cases across claims, clinical, and utilization management
Healthcare has already shown that AI can work.
The real problem is getting it out of pilots and into everyday work without things breaking as it scales.
The Healthcare AI Factory changes how AI work gets done.
It’s a partnership where we work side by side with teams to turn AI ideas into everyday work, then scale them with clear ownership and accountability.
Productive Edge is the AI Factory for Healthcare.
The AI Factory exists because AI doesn’t scale when execution breaks down. It is realized through forward-deployed Factory Pods — small, cross-functional teams that work inside healthcare organizations to change how work gets done, how teams collaborate day to day, and how AI moves from idea into everyday work. Each pod is accountable for outcomes, guided by four principles: acceleration, de-risked execution, co-creation, and a focus on what actually matters.
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01 ACCELERATION
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02 DE-RISKED EXECUTION
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03 CO-CREATION
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04 OUTCOME-ORIENTED
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Acceleration from idea to production
Our Factory pods are forward-deployed, cross-functional teams that remove delivery friction by working directly inside healthcare organizations. Each pod brings healthcare expertise, AI engineering, and execution leadership to move from prioritized use cases into live workflows in weeks, not years. Client teams stay focused on business decisions and outcomes, not rebuilding platforms or managing disconnected pilots. The result is faster time to value without sacrificing quality or control.
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De-risked execution through collaboration
Our Factory pods are accountable for delivery in real environments, not just design or recommendations. Production readiness, transparency, and governance are built into how the work is done, while client teams provide domain, policy, and compliance oversight. This shared responsibility ensures AI behavior aligns with healthcare requirements as it scales. The result is AI that moves into production without introducing compliance, operational, or organizational risk.
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03
Co-creation, not handoffs
Our Factory pods work side by side with client teams as a single, accountable unit across design, build, and rollout. Decisions, tradeoffs, and priorities are shaped together, not passed downstream. Knowledge stays with the organization as capability is built in place, not transferred at the end. The result is clear ownership, faster alignment, and durable capability that lasts beyond the engagement.
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Outcome-oriented by design
Every Factory pod is anchored to a specific workflow, decision, and measurable outcome. Progress is tracked against real business impact, and delivery evolves as value is proven and expanded. As AI moves into steady use, pods continue to refine performance, maintain compliance, and adapt to changing needs. The result is AI that delivers outcomes the business can see, measure, and trust over time.
Healthcare doesn’t need more AI ideas. It needs a way to deliver them.
AI is already proving its value across healthcare. The challenge is not innovation. It is execution.
Most organizations struggle to move AI from isolated wins into repeatable, production-ready capabilities. Timelines stretch, risk increases, and ownership becomes unclear as solutions expand.
The AI Factory addresses this by providing a clear way of working that accelerates execution, reduces risk, and keeps teams aligned around real outcomes. Work moves faster because decisions are clear, ownership is shared, and execution doesn’t stall between teams.
Accelerated delivery into real workflows
A clear operating model and experienced teams help move AI from prioritized use cases into production quickly, without starting from scratch each time.
De-risked execution at scale
Governance, transparency, and operational readiness are built into delivery, so AI holds up as it moves across workflows and teams.
Co-creation with clear ownership
AI is built alongside the people who own the work, creating shared accountability and lasting capability instead of handoffs.
Outcomes that guide progress
Every initiative is anchored to a specific workflow, decision, and business outcome, with success measured by real impact.
Boost: The Foundry Inside the Factory
Where Healthcare Intelligence Gets Built
Boost is the AI Foundry that powers the Healthcare AI Factory. It’s where our teams design, test, and refine reusable healthcare AI components — each designed to support compliance, interoperability, and scale.
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Modular AI agents for claims, utilization management, and compliance
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Reusable blueprints that cut delivery time from months to weeks
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Full observability, explainability, and governance
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Deployable on any cloud, LLM, or data stack
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You own the IP — no lock-in, no black boxes
What Makes the Factory Different
Not consulting. Not outsourcing. How AI actually gets delivered in healthcare.
The Healthcare AI Factory is not a strategy exercise or staff augmentation.
It is a structured way of working that changes how AI work gets done inside healthcare organizations. Our Factory pods are forward-deployed inside your organization, working side by side with your people with clear structure, shared accountability, and disciplined execution. This is how AI moves forward without stalling in pilots or spreading risk as it scales.
The focus is not on producing recommendations or adding capacity. The focus is on delivering outcomes, transferring ownership, and leaving behind a model your teams can continue to run.
Built for healthcare.
A delivery model shaped around healthcare workflows, regulatory realities, and operational constraints, not generic AI experimentation.
Structured for execution
Clear roles, timelines, and decision ownership keep work moving from prioritization into production without ambiguity.
Designed to reduce risk
Execution includes governance, transparency, and operational readiness from the start so AI holds up as it scales.
Enabled by proven methods
Factory teams leverage established delivery patterns to accelerate execution while keeping ownership with you.
Measured by outcomes
Every engagement is tied to specific workflows, decisions, and measurable impact, not activity or experimentation.
Real Results
Proof from organizations using the Factory today.
Healthcare leaders across payers and providers are using the Factory to reduce manual effort, improve accuracy, and accelerate innovation.
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International health plan
Launched a diabetes program with AI-enabled triage and outreach
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Care delivery organization
Deployed a unified data and AI co-pilot strategy in under six months
How We Build With You
Collaborative by design. Built for ownership.
The AI Factory is built to operate inside your organization, not alongside it. From day one, Factory teams work with your leaders, operators, and technologists to align on outcomes, share responsibility, and deliver AI that holds up in production. Knowledge is captured, decisions are documented, and capability is transferred as part of delivery. You are not left with a black box or a dependency. You are left with AI that your teams understand, operate, and extend.
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Step 01Start with the problem that matters
Identify the workflow, decision, and outcome that will deliver real business impact, and define success before any build begins. -
Step 02Build your Factory pod
Form a joint delivery team of healthcare SMEs, AI and data engineers, architects, and delivery leads working from a shared backlog with clear ownership. -
Step 03Execute through the Factory
Apply proven execution discipline, governance, and clear decision ownership to move AI into production without stalling in pilots or creating risk. -
Step 04Scale with confidence
Expand what works across workflows and teams, knowing the model supports acceleration, ownership, and outcomes as you grow.
The Foundation
Built on healthcare’s most trusted technology ecosystem.
The AI Factory operates on proven cloud, data, and interoperability platforms, allowing Factory teams to deliver AI inside the systems that healthcare organizations already rely on.
