Industries
The documentation load is the reason the day runs late.
Notes, coding, prior authorisation and referrals take clinicians away from patients and out of the building at seven. We work on that load — inside your boundary, with a person approving anything that reaches a record.
Documentation · Coding · Authorisation · Records · Operations
01 — Where the time goes
Nothing reaches the record unapproved.
That constraint shapes everything we build here.
Clinical AI that writes directly into a record is a governance problem wearing a productivity costume. Every clinical output we build is a draft with its sources shown, and a clinician accepts, edits or rejects it.
Within that constraint there is a great deal of time to give back. Formatting, summarising across fragmented records, drafting the letter, preparing the coding suggestion, assembling the authorisation pack — none of it is clinical judgement, and all of it is currently done by clinicians.
PHI stays inside your boundary. Deployment is designed around that first: private endpoints, no training on your data, retention and access logging set to your policy and evidenced rather than asserted.
Talk to Zealogics02 — What you get back
A draft, its sources, and a clinician who decides.
SUMMARISED FROM THE RECORD — APPROVED BEFORE IT RETURNS TO IT.
03 — What the work covers
Where we work in healthcare.
Where this shows up
Hospital and specialty provider groups
Revenue cycle and coding operations
Payer utilisation and claims functions
Quality, safety and regulatory reporting
Clinical research and trial documentation
Typical stack
Clinical documentation support
Note structuring and formatting, summarisation across fragmented sources, and letter and referral drafting — always as a draft, always with what it drew on visible.
Coding and revenue integrity
Coding suggestions evidenced against the documentation that supports them, documentation gaps flagged before submission, and claim integrity checks that explain themselves.
Authorisation and correspondence
Prior authorisation packs assembled from the record against payer criteria, and the correspondence that surrounds them drafted rather than dictated.
Operational and quality analytics
Capacity, flow and quality reporting built on the operational data you already generate, with the definitions agreed rather than inherited.
04 — What ships with it
What a healthcare engagement leaves behind.
A demonstration is not a deliverable. These are the artefacts an engagement leaves with your team — owned by you, runnable without us, and auditable by whoever has to sign for them.
01
The data boundary
Where PHI sits, what reaches a model, who can see a log — designed first and evidenced, because everything else depends on it.
02
Draft-and-approve workflows
Clinical outputs that arrive as drafts with sources shown, and an approval step that is recorded.
03
Record summarisation
A patient story assembled across fragmented sources, with every statement linked to the note it came from.
04
Coding support
Suggestions with the supporting documentation attached, and the gaps flagged while they can still be filled.
05
Assembled authorisation packs
Built from the record against the criteria, so the submission is complete the first time.
06
Operational reporting
Capacity and quality measures defined once and generated, rather than assembled differently by each department.
05 — Agentic AI, in this sector
Agentic AI in healthcare.
Where agents start
- —Clinical note formatting
- —Coding support assistant
- —Prior-authorisation drafting
- —Referral letter generation
- —Policy and protocol search
- —Appointment follow-up agent
Where they go next
- —Care pathway coordination
- —Multi-source patient summarisation
- —Claims integrity agents
- —Trial document intelligence
- —Operational capacity planning
- —Quality reporting automation
Compliance — PHI stays inside your boundary; every clinical output is approved by a person before it lands in the record.
06 — In your words
What clients say before they call us.
“Clinicians finish the notes at home.”
Documentation support
“The patient history is in four systems and one of them is a fax.”
Record summarisation
“Denials come back for documentation we already had.”
Coding and claim integrity
07 — The rest of the map
Eleven more sectors we work in.
A problem is rarely unique to its industry. Most of what we build here has been built next door as well, which is usually why it arrives faster the second time.
Fab
Semiconductor
Yield investigations, equipment data engineering and the tool intelligence that shortens a root-cause cycle.
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Plant
Manufacturing
Shop-floor copilots, predictive maintenance and the plant reporting that currently happens in a spreadsheet at six in the morning.
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Heavy
Steel
Process optimisation, quality prediction and the reporting heavy industry still assembles by hand.
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Assets
Energy & utilities
Asset performance, inspection data and the field workflows that still move on paper between three systems.
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TIC
Testing, inspection & certification
Digitised inspection, generated reports and compliance search across standards that change under you.
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Network
Telecom
Network operations assistants, incident response and service assurance analytics that keep up with the alarm volume.
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Finance
Financial services
Reconciliation, close, risk narrative and reporting automation with an approval gate on everything that moves a number.
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Assurance
Audit & assurance
Evidence review copilots, parallel testing agents and document analysis that cites the page it read.
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Public
Government
Citizen services, records intelligence and deployment models that stay inside the boundary the mandate requires.
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Controlled
Defense
Engineering support and controlled AI environments — local models, no external calls, clearance-aware retrieval.
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Talent
Staffing
Engineering, IT and AI talent for Fortune 500 programmes across the USA, UAE, Taiwan and India.
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Have a problem worth solving?
Start with one specialty.
One specialty, one document type, inside your own environment — with the approval step in place from the first day.