Industry

Healthcare & life sciences

Reduce the documentation and administrative load around care, without putting AI anywhere near a clinical decision it should not make.

Industry challenge
Clinical and administrative staff spend a substantial share of their time on documentation, coding, prior authorisation and correspondence. Patient data is fragmented across systems that were never designed to interoperate, and every process carries regulatory and privacy obligations that rule out casual experimentation.
AI opportunity
The highest-value, lowest-risk AI applications in healthcare are administrative rather than diagnostic. Summarising, extracting, drafting, routing and retrieving are all tasks where a model assists a qualified human who remains accountable — and where the volume is large enough that modest time savings compound significantly.
Solution
We build document intelligence for intake and claims, knowledge assistants over clinical policy and protocol, drafting support for correspondence and discharge documentation, and agents for administrative workflow. Clinical judgement stays with clinicians; every AI output is attributable and reviewable.
Business outcome
Less time on paperwork and more on care, faster administrative cycle times, and a defensible audit trail for every automated step.

Where this shows up in practice

Patient intake and registration

Extraction and validation of referral letters, forms and identity documents into the patient record.

Clinical documentation support

Drafting and summarisation of notes, discharge summaries and correspondence for clinician review and approval.

Coding and claims support

Code suggestion with source citations, and validation of claims against payer rules before submission.

Clinical knowledge assistant

Citation-backed retrieval across protocols, formularies and internal guidance, permission-aware by role.

Administrative agents

Scheduling, prior authorisation follow-up and records requests handled end to end with escalation.

Multilingual patient communication

Patient-facing communication and support across languages, with clinical content human-approved.

What we design around

Patient data privacy and consent as an architectural constraint, not a review step
Data residency and retention decided before the first model call
Clinical decisions remain with qualified clinicians — AI assists, never decides
Full traceability: every output linked to its source and its reviewer
Interoperability with existing EHR/EMR systems rather than replacement