Healthcare
Prior authorisation packets
Prior authorisation requests are assembled from the record against each payer's criteria, with missing evidence flagged, then submitted by staff.
Healthcare · Custom app
AI clinical coding support for coders and billing teams
Coders get a ranked list of candidate codes with the supporting text from the record, looked up in the official code sets, for them to accept or change.
01 today
Coders read long records to assign diagnosis and procedure codes, and backlogs delay billing. Missed or vague documentation leads to wrong codes and denied claims. General AI chatbots are not reliable at this on their own: they often produce codes that do not exist.
02 the run
paused: waiting for a person to approve
03 human in the loop
Certified coders choose every final code. Queries to clinicians are written or approved by a coder, and the tool never changes the clinical record.
04 after
Coders spend their time on judgement rather than searching, and backlogs shrink. Codes are better supported by the record, which helps when claims are reviewed.
Case studyHelping coders clear the backlog without trusting AI to guess codesThe rollout, what to measure, a worked example and the research behind it.see also
Healthcare
Prior authorisation requests are assembled from the record against each payer's criteria, with missing evidence flagged, then submitted by staff.
Healthcare
Denied claims are sorted by reason and value, the fix or appeal is prepared with evidence from the record, and billing staff approve every submission.
Healthcare
Incoming referrals are read, checked for missing information and routed to the right service, with urgency confirmed by a clinician.
A free 30-minute call. You talk, we ask questions, and you leave with a few concrete ideas — or an honest answer that AI isn't the right fix yet.
Working with teams around the world.