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AI & Automation

We build AI agents that work in your existing systems.

Our AI agents read documents, check the information, make routine decisions and complete tasks in the software your team already uses. We combine AI, RPA and integrations, depending on the process.

When a case needs someone’s judgment or approval, the agent sends it to your team.

What can an AI automation do?

01 · Read

Read and understand

The agent extracts information from emails, PDFs, faxes and forms, even when they don’t follow the same format.

02 · Check

Check and decide

The agent compares the information with your systems and business rules, finds what’s missing, and makes decisions when the criteria are clear.

03 · Act

Work in your software

The agent enters data, updates records, submits requests and checks statuses. We use APIs when they’re available and automate the user interface when they’re not.

04 · Ask

Know when to ask for help

Routine cases run automatically. Cases with missing information, unclear results or a need for approval go to the right person on your team.

How an AI agent handles incoming requests

Example with made-up patients. The AI agent reads each request, checks it against the EHR and your rules, and completes it in your systems. A referral without a signature goes to your team.

What our AI agents work with

Most manual work starts with something a person has to read: a fax, a letter, a scanned form or a message in a payer portal. The agent reads it, finds the information it needs and checks that information against your systems.

If a document is unclear or a field doesn’t match, the agent doesn’t guess. It sends the case to your team.

In healthcare

  • Insurance cards and patient details
  • Referrals, orders and lab requisitions
  • Medical records for prior authorizations and appeals
  • Eligibility, claim status and authorization responses
  • EOBs, remittances and denial letters
  • Faxes, scanned mail and payer portal messages

In other industries

  • Invoices and accounting documents
  • Reports, emails and business forms
  • Records in ERP systems such as SAP

AI when it’s useful. Regular automation when it isn’t.

Not every process needs AI.

We use AI for work that involves reading documents, interpreting information, or handling variations that are hard to describe with rules.

For predictable steps, we use code, APIs and RPA. This makes the automation easier to test, maintain and control.

Even when AI reads the document, the steps that change your records follow fixed rules. The same case always gets the same result, and we can test it before it goes live.

Each run is logged: what the agent read, what it checked and what it changed.

We reuse components from earlier projects, but every automation is built around your systems and your rules.

And if your systems don’t share information, we connect them too.

Explore Data & Integrations

We’ve automated processes in different industries.

Healthcare · AI agents for denials and mail

A molecular diagnostics company in California

The billing team worked denials and paper mail from payers by hand, in XiFin and in payer portals. Our AI agents read each denial and each letter, match it to the right claim, and then resubmit the claim or post the letter in XiFin. Cases that need a person go to the team.

30 s
per denial, down from 6 minutes
80%
of a 3,000-claim backlog cleared in three weeks
95%
less manual work on payer mail
Read the case study

Healthcare · eligibility checks

Pain Treatment Centers of America

PTCoA’s staff checked insurance in payer portals by hand and copied the results between the EHR and the billing system. We automated the whole process.

~40 s
per check, down from 5–7 minutes
8,000+
checks a month
~3 FTE
of staff time saved
Read the case study

GPS tracking · UiPath RPA

Global-View

Activation requests came in by email, and staff set up accounts and devices in several applications. A UiPath robot now checks the payment, sets up the account and devices, and emails an administrator when there’s a problem.

1 s
per activation, down from about 10 minutes
600x
faster
1
UiPath developer, under three weeks
Read the case study

Outside healthcare, we’ve automated work in manufacturing, energy, finance, tax, travel and telecom. See business process automation

Healthcare workflows we know well

We’ve built reusable components for the most common revenue cycle work. We adapt them to each client’s systems and rules.

Eligibility verification

Check coverage, benefits and deductibles, then update the patient record.

Prior authorization

Collect the clinical documents, prepare and submit the request, and track it until there’s an answer.

Claims management

Check claims, find errors, and handle the routine corrections and follow-ups.

Denials management

Find out why a claim was denied, gather what’s needed, and prepare the correction or appeal.

Explore healthcare automation

How we work

  1. Understand the process

    You show us the manual work, the systems and the exceptions. We estimate the effort, the savings and the ROI. If a process isn’t worth automating, we tell you.

    If patient data is involved, we sign a BAA first.

  2. Build and test

    We pick the technology that fits, build around the applications you already have, and test on real examples before anything goes live.

  3. Run and maintain

    We put it live, watch the results, fix problems, and update it when your systems or rules change.

How we price

Talk to us

What would you like to automate?

Show us the work your team does by hand. We’ll tell you what can be automated, where AI makes sense and what it would take to build.

Karl Mielnicki
30-minute callKarl MielnickiCo-founder, CTO

Walk me through the work your team does by hand. I’ll tell you which parts we can automate, what it would cost, and whether it’s worth doing.

Karl