We Build AI Agents & Automations
for Healthcare Businesses.
Your clinical staff spend a third of their day on admin that AI agents should already be handling. UnitedHealth has catalogued 1,000+ agent use cases. Humana put one on every advocate desk. The question isn't whether it works — it's which ones we build for you first.
AI Agents Healthcare Organisations Are Building in 2026
These are real agents in active development or production deployment at major healthcare organisations. UnitedHealth is deploying 1,000+ AI agents. Humana has a member-advocate copilot live on 20,000 desks. CVS is re-platforming around agent-native workflows. Every one of these can be built for your practice.
Reads clinical notes, cross-checks payer policies, auto-populates PA forms, submits, tracks status, and alerts staff only when a human decision is genuinely needed. Turns a 2–5 day manual process into hours.
Listens to consultations, generates structured SOAP notes, codes ICD-10/CPT, and posts directly to the EHR. Clinician reviews a 2-minute draft instead of writing for 20. The single biggest burnout driver in clinical practice — and the most fixable one.
Handles 24/7 scheduling, medical records chasing, referral routing, and insurance triage across providers — simultaneously. The care coordination that falls through the gaps because no single human has visibility across all systems.
Real-time call summarisation, next-best-action prompts, and auto-generated after-call notes. The advocate focuses on the patient; the agent handles documentation, compliance logging, and follow-up task creation in parallel.
Pre-visit digital forms, symptom triage, routing to the correct care path, and appointment confirmation — before the patient arrives. Removes 60–70% of front-desk data entry from the morning rush without touching clinical decision-making.
Detects denied claims, identifies missing codes, diagnoses denial patterns by insurer, drafts appeal letters, and tracks outcomes. The 3–5% of annual revenue that leaks through billing errors quietly — until this agent finds it.
Implementations & Automations
Structured builds with defined scope, timeline, and starting price. These run alongside — or ahead of — agent deployments.
Patient Operations
The highest-ROI category. Every workflow before, during, and after the appointment.
Front desk re-entering patient data across three systems before every appointment. Hours of work that shouldn't involve a human.
~70% reduction in intake time. Staff handle 3× more patients without adding anyone to the team.
No-show rates between 15–30%. Coordinators spending hours on scheduling calls that an agent handles in seconds.
No-shows drop to under 8%. Scheduling staff time cut by ~60%. Typically pays back in the first month.
Pre-auth requests taking 2–5 days of manual back-and-forth. Submit, wait, chase, resubmit. Every day, for every patient.
Turnaround cut from days to hours. Billing staff freed from the most time-consuming part of their entire role.
Clinicians spending 1–2 hours daily writing post-appointment notes. The single biggest driver of burnout in clinical practice — and also the most fixable one.
80% reduction in documentation time. Clinician reviews and approves AI-drafted notes in 2 minutes instead of writing for 20.
Patients leave with instructions they'll forget in 48 hours. Follow-up gaps push readmission rates up and satisfaction scores down every month.
Care plan adherence measurably improves. Readmission rate down. Satisfaction scores up at the 90-day mark.
Sales & Revenue
For MedTech companies, private clinics with a commercial function, and health SaaS businesses.
MedTech sales running on spreadsheets or CRMs that don't reflect how healthcare deals close — committees, clinical champions, compliance gatekeepers all involved.
Pipeline visibility from gut feel to real data. Deal velocity improves. Nothing slips between stakeholders during a 6–18 month sales cycle.
GP referrals, clinic partnerships, insurer relationships — tracked informally. Nobody knows which referrers send the most valuable patients, or which ones have quietly gone cold.
Referral network becomes a managed, measurable channel. Top referrers identified and deepened. Cold ones caught before they disappear.
Patient Support & Experience
Reduces inbound volume, improves response time, and captures structured data from every patient interaction.
Reception answering the same 40 questions every day. Every one is time away from interactions that actually need a human being present.
60–70% of inbound queries handled without human involvement. Reception freed for complex care moments that matter.
Surveys go out. Results sit in a spreadsheet nobody properly reads. Issues surface in Google Reviews before anyone internally hears about them.
Patient issues caught before they go public. A weekly AI-analysed theme report replaces the monthly one nobody reads.
Data & Revenue Intelligence
For practice managers and finance leads making decisions on incomplete data scattered across multiple disconnected systems.
Utilisation rates, no-show trends, revenue per clinician — all across 4 different systems. Leadership makes decisions on last week's printout and memory.
Problems visible a week before they become crises. A half-day reporting task becomes fully automatic.
Claim denials, underpayments, and billing errors costing 3–5% of total annual revenue. Most clinics have no idea exactly where it's leaking — until the year-end review.
For a £1M–£3M practice, typically recovers £30k–£150k in previously lost annual revenue — usually within the first two quarters.
Not sure which scope to start with?
Most clients start with Starter, see results in 3–4 weeks, then scope what's next. Here's how the three levels break down.
Starter
One focused build. One workflow automated end-to-end. You see results before committing to anything bigger. The fastest way to know whether this works for your operation.
Growth
CRM at the core with multiple connected workflows and at least one AI agent. The operation starts to feel like a different business. This is where most practices end up after their first Starter build.
Enterprise
Custom agents, deep integrations across existing systems, revenue intelligence, and ongoing optimisation. For practices scaling significantly or transforming their entire operation.
The systems they built are still running and the team adopted them faster than anything we've tried before. It actually changed how we operate.
Every healthcare build is led by one of us directly.
Healthcare has compliance and sensitivity considerations most development teams don't properly account for. Shivam Kapoor and Sonam Malhotra are active participants on every project — not oversight. You deal with people who've done this before, not a junior team learning on your systems.
Know exactly what your practice
needs to build. In 30 minutes.
Free audit. We map which agents and implementations fit your specific business, in what order, and what outcome to expect from each one.
What healthcare businesses ask us — answered straight.
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