Meet Your Specialized AI Employees
Instead of navigating complex software setups, you simply onboard and delegate daily responsibilities to dedicated AI colleagues designed specifically for medical and dental practices.
Klomai employees assist human clinical and administrative staff. The AI must never diagnose medical conditions or prescribe medications independently. Every clinical note, examination summary, referral letter, or patient message draft explicitly indicates when attending doctor review or approval is mandatory.
Maya
Turns incoming enquiries into qualified appointment requests.
Maya handles every incoming patient enquiry, qualifies the lead, and prepares appointment requests from your internal calendar — reception still confirms every booking.
What Maya does
- Classifies every enquiry (appointment, treatment, price, doctor, insurance, location, hours, complaint, urgent).
- Qualifies leads by asking only for the information the clinic marked as required.
- Proposes appointment options from the clinic's own internal availability only.
- Creates appointment requests that always wait for reception approval before confirmation.
- Escalates clinical questions, emergencies, complaints and payment disputes to a human.
- Answers strictly from the clinic knowledge base and never invents prices or facts.
Sophia
Recovers treatment revenue that would otherwise be lost.
Sophia manages every open treatment opportunity, drafts the right follow-up at the right moment, records objections and conversions, and shows the revenue actually at stake.
What Sophia does
- Holds every quoted treatment opportunity with its value, stage, objection and next follow-up date.
- Prioritises by quote value, recency, engagement and clinic-configured thresholds.
- Drafts personalised follow-up messages using clinic tone, approved payment wording and current offers.
- Classifies patient replies into objections (price, time, insurance, fear, second opinion, schedule, family, none).
- Follows the approved sequence and stops instantly on opt-out, conversion, loss or escalation.
- Reports open, converted and lost quoted revenue using stored values only — never invented figures.
Noor
Turns consented consultations into review-ready documentation.
Noor records or ingests consented consultations, transcribes them, and drafts structured clinical documentation for the doctor to edit and approve.
What Noor does
- Requires confirmed recording consent before any audio or video is processed.
- Transcribes consultations with speaker labels, timestamps and low-confidence highlighting.
- Extracts only what was actually said — preserving uncertainty rather than turning it into diagnosis.
- Generates SOAP notes, consultation notes, treatment summaries, referral letters and patient summaries as drafts.
- Locks and versions each note on doctor approval, preserving the original AI and doctor-edited versions.
- Never writes into an external medical record system.
Adam
Turns clinic-entered numbers into reliable management intelligence.
Adam validates the financial data your team enters, calculates the numbers deterministically, and explains what changed and why.
What Adam does
- Accepts manual monthly entry and CSV/Excel uploads for revenue and every expense category.
- Validates data before import: duplicates, missing totals, currency and period mismatches, invalid values.
- Calculates gross profit, operating profit, margin, ROI, contribution and variances with exact arithmetic — not AI guesswork.
- Refuses to calculate a metric when required data is missing, and says exactly what is missing.
- Flags anomalies such as expense spikes, revenue decline and margin deterioration without claiming causation.
- Answers plain questions like 'why did profit fall?' using validated figures only.
Alex
Combines the whole team's evidence into prioritised management actions.
Alex is the executive layer: it combines funnel, follow-up, financial and capacity evidence into prioritised recommendations that management accepts or rejects.
What Alex does
- Reads validated output from Maya, Sophia, Adam and the internal calendar — never raw guesses.
- Measures the funnel from enquiry to qualified, appointment request, confirmation, opportunity and conversion.
- Identifies the single largest measurable drop-off and what it is costing.
- Compares internal capacity against real demand by day and doctor.
- Issues recommendation cards with evidence, expected impact, suggested action, confidence and owner.
- Declines to recommend when there is not enough data, and says so plainly.