# AI & Automation Services | Flobotics Canonical: https://www.flobotics.io/ai-automation --- [Home](https://www.flobotics.io/)/[What we do](https://www.flobotics.io/what-we-do)/AI & Automation 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. [Discuss your process →](https://tidycal.com/team/flobotics/flobotics-intro-call-w)[See client results →](#results) ## 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 run · four requestsMade-up data - Read - Check - Act - Ask your team Inbox - FaxReferral from Lakeshore Family Medicine3 pages · Anna RiveraDone - EmailLab results from Northfield LabPDF · James OkaforDone - FaxReferral from Riverside Clinic2 pages · Tom BeckerTo your team - FormAddress change from the patient portalWeb form · Maria LopezDone Now working on Referral from Lakeshore Family Medicine What it read PatientAnna Rivera Date of birth03/14/1961 OrderedLumbar MRI InsuranceLakeshore PPO What it checked - Patient found in the EHR - Insurance is active - Order is signed Referral filed to the chart. Scheduling request created. Done automatically3 - Referral filed, scheduling request created - Results attached, Dr. Chen notified - Address updated in the EHR and billing Your team1 - Tom Becker’s referral: no signature on page 2 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.PauseReplay ## 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 →](https://www.flobotics.io/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 sper 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 →](https://www.flobotics.io/case-studies/50k-saved-in-1-month-ai-agent-for-denials-management) 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 sper check, down from 5–7 minutes 8,000+checks a month ~3 FTEof staff time saved [Read the case study →](https://www.flobotics.io/case-studies/100-roi-in-just-23-days-we-automated-eligibility-checks) 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 sper activation, down from about 10 minutes 600xfaster 1UiPath developer, under three weeks [Read the case study →](https://www.flobotics.io/case-studies/global-view-automation) Outside healthcare, we’ve automated work in manufacturing, energy, finance, tax, travel and telecom. [See business process automation →](https://www.flobotics.io/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](https://www.flobotics.io/agents/eligibility-check-automation) Check coverage, benefits and deductibles, then update the patient record. ### [Prior authorization](https://www.flobotics.io/agents/prior-authorization-automation) Collect the clinical documents, prepare and submit the request, and track it until there’s an answer. ### [Claims management](https://www.flobotics.io/agents/claims-management-automation) Check claims, find errors, and handle the routine corrections and follow-ups. ### [Denials management](https://www.flobotics.io/agents/denials-management-automation) Find out why a claim was denied, gather what’s needed, and prepare the correction or appeal. [Explore healthcare automation →](https://www.flobotics.io/rcm-automation) ## How we work - ### 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. - ### 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. - ### Run and maintain We put it live, watch the results, fix problems, and update it when your systems or rules change. [How we price →](https://www.flobotics.io/pricing) 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. [Book a 30-minute call →](https://tidycal.com/team/flobotics/flobotics-intro-call-w)[Send us a message →](https://www.flobotics.io/contact) 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