01
Document chaos
Pre-auth forms, ICPs, bills, prescriptions, investigation reports, and discharge summaries arrive in inconsistent formats from hundreds of hospitals.
AI-first · For Third Party Administrators
Agentic AI for Indian TPA claims operations.
Slate Labs is an AI-first company. We deploy a team of specialised AI agents that read hospital documents, reason over policy terms, draft queries, surface FWA signals, and prepare review-ready, evidence-backed claim packets, while your medical and claims reviewers stay in control of every decision.
30 to 50%lower review time per claim packet
20 to 40%fewer avoidable hospital queries
1.5 to 2xreviewer productivity uplift
100%claims with an evidence trail
The TPA reality
Your reviewers are buried in PDFs. AI agents can carry the load.
A typical TPA processes thousands of pre-auth requests, enhancements, and discharges every day. Most of that work is still manual: opening documents, reading discharge summaries, comparing line items against policy terms, drafting queries, chasing missing paperwork. We hand the repetitive, rules-heavy reasoning to specialised AI agents so your humans focus on the judgement calls only they should make.
02
Pre-auth and discharge TAT
Manual review queues stretch turnaround time, frustrate hospitals and members, and trigger SLA breaches with insurer clients.
03
Repetitive queries
The same missing-document and clarification queries get drafted by hand, claim after claim, day after day.
04
Weak audit trails
Decisions live across emails, portals, and PDFs. Reconstructing why a claim was approved, queried, or denied is painful.
The agent stack
A team of specialised AI agents for your TPA.
Six purpose-built agents that read, reason, and act across your claims workflow. Each one has a defined job, the right tools, and a reviewer it reports to. They run on top of your existing claims management system, not in place of it.
Agent 01 / 06
Autonomous
Intake & Extraction Agent
Reads pre-auth forms, ICPs, bills, prescriptions, investigations, discharge summaries, and policies. Classifies, extracts, and links clinical, billing, and policy entities into a structured claim record.
Tools: OCR · document classifier · entity linker
Agent 02 / 06
Reasoning
Pre-Authorization Agent
Checks completeness, summarizes diagnosis and planned treatment, validates eligibility against policy terms, and prepares a one-screen reviewer packet with citations to source pages.
Tools: policy retriever · clinical summarizer · eligibility checker
Agent 03 / 06
Reasoning
Discharge Authorization Agent
Reconciles final bills, discharge summaries, package rules, and policy terms. Surfaces non-payable items, duplicates, and ineligible charges with the supporting clause cited.
Tools: tariff matcher · clause linker · bill reconciler
Agent 04 / 06
Action-taking
Query Drafting Agent
Drafts structured queries to hospitals, members, or internal teams with evidence and missing-document context attached. Reviewer reviews and sends, never starts from a blank screen.
Tools: template library · evidence assembler · channel router
Agent 05 / 06
Investigative
FWA Signals Agent
Detects duplicate claims, suspicious billing patterns, unusual provider behaviour, and policy inconsistencies. Hands investigators a packet with the supporting evidence already pulled together.
Tools: similarity index · provider profiler · pattern miner
Agent 06 / 06
Interop
NHCX Interop Agent
Shapes structured, interoperable claim data from messy documents to support NHCX-aligned exchange with insurer and hospital partners. FHIR-shaped where it matters.
Tools: FHIR mapper · schema validator · insurer adapters
An AI-first company
How we build, differently.
AI is not a feature we bolted on. It is the product, the workflow, and the way we run. Every claim path is owned by an agent, every output is evidence-backed, and every decision stays with a human reviewer.
01
Agents own the workflow
Each TPA workflow has a named agent with a clear job, tools, and accountability. No black boxes, no monolithic models doing everything.
02
Reasoning over rules
Agents combine retrieval, structured reasoning, and policy grounding so they handle the messy edge cases hard-coded rules engines miss.
03
Humans approve, always
Agents prepare, structure, and recommend. Your licensed reviewers approve. Every action is logged with the evidence the agent used.
Pilot
Deploy one agent on one TPA workflow in 6 weeks.
We co-design the pilot with your operations and medical leads, ship the agent on historical and live claims, and report back on TAT, productivity, and query reduction. You see the agent in action on your own files before you commit to anything beyond the pilot.
Read the pilot brief →Target outcomes
- 30 to 50%Lower review time per packet
- 20 to 40%Fewer avoidable queries
- 1.5 to 2xReviewer productivity uplift
- 100%Claims with evidence trail