Healthcare Integration / AI & Analytics
AI & Analytics

Healthcare AI in production — digital workers, not demos

We do not hand you a model and wish you luck. We deliver AI as operated digital workers that do real work on your data — reading documents, triaging prior auth, summarizing charts — with human-in-the-loop review, guardrails, and audit trails.

200+Engineers across 4 offices
37+Enterprise clients delivered
ISO 27001& ISO 9001 certified
HIPAAAligned delivery & operation
The problem

Where healthcare ai implementation usually goes wrong

01

Pilots that never ship

A promising demo that never survives contact with production data and workflow.

02

Black-box risk

AI output no clinician trusts because there is no source, no review, no audit.

03

Point tools everywhere

Disconnected AI features that do not fit the workflow staff actually use.

What we deliver

Where we deploy healthcare AI

Use cases we have taken to production, built on our DocuFindr document-intelligence foundation.

01

Clinical document intelligence

Extract structured data from faxes, PDFs, and scans — powered by our DocuFindr platform.

02

Prior authorization triage

Route, pre-fill, and prioritize prior-auth requests to cut turnaround and denials.

03

Clinical summarization

Chart and encounter summaries with citations back to the source note for clinician trust.

04

Coding & documentation support

Suggest codes and surface documentation gaps for coder and CDI review.

05

Human-in-the-loop review

Confidence thresholds and review queues so a person confirms anything that matters.

06

Governance & audit

Prompt/version logging, PHI handling, and audit trails aligned to your compliance program.

How we deliver

Map, build, prove, operate

STEP 01

Frame

Pick a use case with clear ROI and a measurable baseline; define the human-review model.

STEP 02

Build

Assemble the digital worker on your data with guardrails, evaluation, and review queues.

STEP 03

Prove

Shadow-run against the baseline; measure accuracy, throughput, and reviewer effort.

STEP 04

Operate

Deploy into the workflow and run it — monitoring drift, quality, and cost under SLA.

Why 10decoders

A model is not a solution. An operated digital worker that does the task is.

The platform-only model

  • You get a model and a notebook
  • No human-review or guardrail design
  • Evaluation and monitoring are your problem
  • The pilot stalls before production

The 10decoders model

  • You get a working, operated digital worker
  • Human-in-the-loop review designed in
  • We monitor accuracy, drift, and cost under SLA
  • We ship to production and keep it running
200+
Engineers on staff
37+
Enterprise clients
4
Global delivery offices
ISO 27001 & 9001 certified
Talk to our CTO

Start with a thirty-minute conversation.

No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.

Who you'll talk to
Thomas, CTO at 10decoders

Thomas

Chief Technology Officer

Connect on LinkedIn

Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.

200+
Engineers
37+
Global Clients
ISO
27001 / 9001
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