Forge Applied Science & TechnologyAI Implementation · Feasibility Studies

Services

Two ways we help. One operating philosophy.

We sell two things and do them deeply: AI implementation for healthcare and other high-stakes operations, and feasibility studies that tell you whether to build at all. Both run on the same rule — measure first, prove the return.

Core offer 01

AI Implementation

Some operations can’t afford a wrong answer — that’s the work we do. Agentic AI and automation take real, repetitive work off your team — intake, triage, routing, follow-up, document handling, reporting — integrated with the systems you already run rather than forcing a rip-and-replace. Healthcare is our specialty and our proving ground; the discipline it demands — accuracy, safety, auditability, continuity — is exactly what we bring to manufacturing, field services, logistics, finance ops, and any high-consequence operation. Deep in one industry, fluent across many.

  • Workflow automation and AI agents (intake, scheduling, follow-up)
  • System & API integration across CRM, EHR-adjacent, and comms tools
  • Data-readiness and AI-readiness audits before anyone automates a clinical workflow
  • AI assurance — outputs evaluated for safety and clinical grounding, with human-in-the-loop escalation
  • Outcome: recovered hours and a verifiable dollar figure on every recommendation

Core offer 02

Feasibility Studies & Technology Assessment

Decision-ready answers on whether a technology, device, or process will work — technical, regulatory, and economic feasibility in a single assessment, ending in a clear go / no-go. From someone who has taken hardware from concept to independently validated prototype and charted real FDA pathways.

  • Technical, regulatory, and economic feasibility in one assessment
  • Concept-to-prototype (TRL 1–7) and design-for-manufacture
  • FDA 510(k) / Class II strategy and technical documentation
  • Emerging-technology assessment (e.g., hyperbaric / HBOT) and prior-art review
  • Outcome: a written go / no-go a board or investor can act on

Who we work with

Wherever a wrong answer is expensive

Healthcare is our specialty. The same measure-first discipline serves any operation that runs on accuracy, safety, and continuity.

Healthcare & ClinicalField ServicesManufacturingLogistics & Supply ChainRegulated Back-OfficeGov / Defense

How we work

The method beneath both offers

Every engagement runs on Lean Six Sigma rigor — we find the waste and overburden hiding in your operation, quantify it as Cost of Poor Quality, and design the fix with the savings tied to figures you can verify. It’s why the AI we build pays for itself, and how a feasibility verdict stays grounded in numbers rather than opinion.

  • Current-state value-stream mapping and time studies
  • Cost of Poor Quality (COPQ) modeling and business cases
  • Root-cause analysis and bottleneck elimination
  • Standard work and change management that sticks

Common questions

Straight answers

What does an AI implementation engagement involve?

It typically opens with a fixed-fee, ~30-day discovery: we map how work actually flows, measure the cost of the friction in it, and deliver a business case grounded in your own numbers before any build is committed.

Do you work outside healthcare?

Yes. Healthcare is a specialty, not a limit. The same measure-first method applies to any operation where accuracy, safety, and continuity are non-negotiable.

What is a feasibility study?

A single assessment of whether a technology, device, or process will work — technical, regulatory, and economic feasibility together, ending in a clear go / no-go recommendation.

The engagement usually starts with a 30-day discovery.

A standalone, fixed-fee diagnostic — the Define and Measure of any good improvement project. You keep every deliverable, whether or not you continue.

Talk through your project