Built for Patchwork Health

Your shifts, your pay, your compliance — in one chat, between ward rounds

A working AI assistant for NHS clinicians on Patchwork. Browse and book open bank shifts, chase a late timesheet, drop a shift, update availability, and check what's expiring on your compliance — without leaving the conversation.

Workforce platform, not a clinical system. This AI books shifts, explains pay, updates availability, and flags compliance renewals. It will not engage with any query about a patient, ward situation, medication, treatment, or handover content — even if you offer the detail. Clinical questions go to your Trust's EPR/ePMA or the clinician on call. That's the hard line, every time.

What Lorikeet can deliver for Patchwork

Clinician self-service for the operational stuff — shifts, pay, availability, compliance — at the speed of chat. Coverage teams stay focused on the cases that actually need a human.

Browse and book a shift in chat

"What's open at Lewisham this weekend?" — agent returns eligible shifts with ward, grade, rate and hours; confirms the shift_id before booking; reads back the confirmation reference, check-in instructions and the 48-hour cancellation rule. End to end in one conversation.

Pay queries, answered with the actual data

"Where's my pay from Saturday?" — agent pulls pay status, identifies the specific timesheet, gives a clear expected payment date, and only escalates if the shift's actually disputed. No invented dates, no boilerplate "we'll get back to you".

Compliance that flags before it bites

"What's expiring on my compliance?" — DBS, GMC licence, mandatory training, right-to-work, with days until expiry and the renewal route. Flags anything inside 30 days so clinicians don't get blocked the morning of a shift.

Availability, three knobs, one save

Days available, Trusts, minimum rate — confirmed together before writing. No half-saved settings, no fiddly re-edits. Effective tomorrow, change it again any time from chat.

Cancellation, with the notice rule said out loud

Inside 48 hours triggers a Trust review — the agent says so plainly, suggests a swap on the Bank board to keep the Trust covered, and doesn't pretend there's an automatic free pass.

Holds the patient-safety line

"The patient on Ward 4 — can you tell me..." The agent refuses to acknowledge, summarise or repeat any patient detail and redirects to EPR, ePMA, or the clinician on call. Workforce only. Every time.

This demo? Built from scratch for Patchwork Health.

An Open Conversation router, six clinician subworkflows, eight mock tools wired to a real-feeling FY2 record. Speaks UK English, fluent NHS terminology — Trust, Bank, Collaborative Bank, SHO, Reg.

1

Read your business

Knowledge base covering browsing shifts, when you get paid, why a shift paid less, cancelling, availability, DBS/GMC/mandatory training, bank vs agency, joining additional banks.

2

Wrote your workflows

Seven workflows: an Open Conversation router that scopes clinician intent, plus six subworkflows — browse and book, pay queries, cancel a shift, update availability, compliance status, bank vs agency.

3

Mocked your tools

Eight tools — clinician info, available shifts, booked shifts, book, cancel, update availability, pay status, compliance status — wired to Dr Jane Doe, FY2, Lewisham & Greenwich + SE London Collaborative Bank.

4

Pressure-tested

Ten simulations across happy paths, the £80/hr unrealistic ask, short-notice cancellation, missing pay, expiring DBS, and the patient-care refusal. The patient-data refusal row hits 100% — every time.

Read the simulations report

We pressure-tested the demo across 7 test categories — including a patient-data refusal row that must hit 100%. Read the full breakdown, the deliberate weak spots the report calls out, and the iteration roadmap.

See the Simulations Report

Ready to add the world's best CX AI?

Connected to Patchwork's real shift, pay and compliance systems. Clinician-respectful tone, fluent NHS terminology, and a hard line at clinical advice — at the scale of every NHS Trust on the platform.

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