Healthcare Integration / AI & Analytics
AI & Analytics

Automate the work an API cannot reach — RPA that stays running

Not every system offers an API. Where integration is not possible, we build robots that do the repetitive work — eligibility checks, claim status, data entry — with exception handling and monitoring, and we operate them so a portal change never silently breaks the process.

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

Where robotic process automation usually goes wrong

01

Manual, high-volume tasks

Staff spending hours on eligibility, status checks, and re-keying between portals.

02

Brittle bots

Automation that breaks the moment a vendor tweaks a screen, with no alert.

03

No exception handling

Bots that fail silently on the edge cases that matter most.

What we deliver

Where RPA pays off in healthcare

High-volume, rules-based workflows automated with proper monitoring and fallback.

01

Eligibility & benefits

Automated verification across payer portals with structured results into your system.

02

Claims & status

Claim submission follow-up and status checks that would otherwise be manual.

03

Data entry & migration

Bulk entry and cross-system transfer where no integration interface exists.

04

Prior-auth support

Portal-side prior-auth submission and tracking, paired with AI triage where useful.

05

Exception handling

Structured queues so a human handles what the bot cannot — nothing fails silently.

06

Monitoring & operation

Health checks and alerts so a changed portal is caught and fixed fast, under SLA.

How we deliver

Map, build, prove, operate

STEP 01

Select

Identify high-volume, rules-based tasks with clear ROI and stable inputs.

STEP 02

Build

Develop bots with logging, exception queues, and human-fallback paths.

STEP 03

Prove

Run in parallel with staff to validate accuracy and handle edge cases.

STEP 04

Operate

Monitor bot health, catch portal changes fast, and maintain under SLA.

Why 10decoders

A bot is only useful while it runs. We watch it, fix it, and keep it working.

The platform-only model

  • Bots built, then left to break on their own
  • Screen changes discovered by missed work
  • Edge cases fail with no exception path
  • Maintenance is your team's problem

The 10decoders model

  • Bots built with monitoring and alerting
  • Portal changes caught and fixed under SLA
  • Exception queues route edge cases to people
  • We operate and maintain the automation
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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