Where RPA pays off in the revenue cycle
- Referral intake — faster, cleaner intake and verification
- Billing and claims — submission with zero manual re-keying
- Prior authorization — status tracking and follow-up
- Payment posting and reconciliation — matched automatically, exceptions routed to a human
- Eligibility verification — checked against payer APIs, not by hand
Three ways to engage
Pilot Automation — one scoped process, full bot lifecycle, ROI report. Best for first-time RPA adopters. Timeline 6–8 weeks.
Managed Automation — multiple bots, orchestration, monitoring and SLA. Best for scaling teams. Timeline 8–12 weeks plus ongoing.
Enterprise CoE Build — a full Centre of Excellence covering governance, pipeline and enablement. Best for building internal RPA capability. Timeline 3–6 months.
How we work: a five-phase model
- Discover — process mapping and ROI modelling (weeks 1–2)
- Design — architecture and governance (weeks 2–3)
- Build — development and testing (weeks 3–7)
- Validate — UAT and parallel run (weeks 8–9)
- Deploy — go-live and hypercare (week 10 onward)
Platform-agnostic: UiPath, Microsoft Power Automate, Automation Anywhere and Blue Prism.
Built for HIPAA-regulated environments
- HIPAA-aligned design — minimum-necessary access; PHI is never stored in bot logs or queues
- Encryption — TLS 1.2+ in transit, AES-256 at rest for sensitive data
- Privileged access management — credentials held in a PAM vault with RBAC, never hardcoded
- Immutable audit logging — every bot action logged with timestamp and context
- Disaster recovery — a version-controlled bot estate, restorable within a defined RTO
- Pre-deployment review — a structured compliance review before every production release
Results from live deployments
Billing reconciliation — a US healthcare billing operation. Thousands of reconciliation records a month, done entirely by hand: 15-day cycle times, a 12% error rate and escalating overtime. An attended and unattended bot suite now extracts the ERP billing records, reconciles payer remittances, auto-posts matches and routes exceptions to human review. Reconciliation cycle time fell from 15 days to 2 days, the error rate from 12% to under 0.5%, with 65% fewer processing hours and a full immutable audit trail.
Claims submission — a US medical group. Claims were being re-keyed by hand across systems and payer portals, producing coding mismatches, high denial rates and revenue leakage. A bot now extracts encounter records from the EMR, maps codes to payer schemas, validates against payer rules and submits with no manual intervention. The denial rate fell from 10% to 6%, claims submission time dropped by 80%, and first-pass acceptance rose 34%.
DME billing and insurance — a durable medical equipment biller. Insurance verification, prior-auth tracking and recurring monthly invoicing were all manual, causing delays and unpredictable cash flow. Bots now run eligibility checks through payer APIs, track prior-auth status, generate recurring invoices, post to accounting and escalate exceptions. Insurance verification fell from 45 minutes to under 3 minutes and the cash collection cycle shortened by around 11 days.
Why ICS
- Healthcare domain expertise — architects who have worked inside billing and RCM teams: ICD, CPT, payer rules, denials
- Non-invasive implementation — bots work on your existing UI and API layers
- Rapid time to value — SOW to production in 8–10 weeks
- Transparent ROI tracking — monthly performance reports against your own baseline
- Managed service flexibility — build-only or fully managed, your choice
- No long-term lock-in — start with a scoped pilot; you own the automation assets
Put RPA to work in your organisation
Tell us which process hurts most — referral intake, billing and claims, or prior authorization — and we will scope a pilot against your own numbers. We also run full medical billing services, revenue cycle management, denials management, prior authorization and insurance verification for US providers.
Request a free quote