Lamu by Ginja AI — Turn every claim into clean revenue

Dirty claims cost 10–15% of a hospital's insured revenue.

+60–120 dayslonger to get paid when claims bounce back

5–10%rejected outright, rarely recovered

90%reworked before submission

30–40%reworked again after submission to the payer

Your HMIS was built for care. Not for claims.

01Many teams touch the claim. None sees it whole. Charges silently drop off the bill.
02Stamps, signatures and forms live on paper. No system can see them. Claims leave incomplete.
03Eligibility and approvals sit outside the HMIS. When those rails stall, service slows. The claim breaks.
04Reviewed days later. Member gone. Error locked in.

Payers are applying more rules, autonomously, with less tolerance for incomplete claims.

Thousands of rule combinations. Changed by email. Mid-month.

EligibilityLimitsExclusionsWaitingCo-payPre-authTariffsCodingDocs

Payer-grade validation before submission.

Late audit becomes live control.

Only exceptions reach a person — with the reason and the fix.

In 30 days

70%fewer rejected claims
83%less manual rework
+2%patient throughput

As it learns your hospital

98%clean-claim rate
+5%patient throughput
−50%processing cost per claim

The platform pays for itself.

82%+of recovered revenue stays with the hospital

KES 0upfront cost

The product · Lamu

Real-time claims assurance for finance and credit control.

Lamu validates every claim live, as the patient moves through the hospital. Finance gets visibility and control while care is delivered.

Every payer rule, live

Contracts, tariffs, policy updates — ingested the moment they land.

Physical documents go live

Stamps, signatures and paper forms are captured, validated and corrected inside the live claim — where digital-only AI stops, Lamu keeps going.

Eligibility in seconds

Verified at the front desk, via data exchange partners.

Checks as care happens

Every rule, every service, in milliseconds — during the visit.

Flags with the fix

The issue, the owner, the next action. One prompt.

Finds missed revenue

Missed diagnoses, procedure detail, coding and documentation gaps — validated against clinical evidence and payer rules before submission.

Clinical teams won't notice it — except everything moves faster.

The HMIS stays. Clinicians work exactly as today. A prompt takes seconds — and deletes the recalls, rework and disputes that take weeks. Lamu doesn't slow operations. It speeds them up.

Why it's accurate

Built on your own data

Anchored to your contracts, tariffs and payer rules — so outcomes are deterministic. Same claim, same answer, every time.

Learns from your clinicians

Models learn from feedback across clinical and administrative workflows — accuracy that matches real clinical practice.

For your technology team

No rip-and-replace.

Read APIs beside your HMIS. The claim object is built as service happens. Your systems stay untouched.

Data in

Data exchange partners — eligibility & verification

Payer rails — ICD-10 · ICD-11

Biometrics · OTP

HMIS + LamuUnchanged · read APIs
Claims validated live

Payers back

Direct claim APIs

Policy & scheme updates

Pre-auth decisions

Remittances · statuses

Encrypted end to endStandards-based security, throughout

ISO 27001 · SOC 2 Type IIIndependently audited controls

GDPR-alignedAdapts to regional data-protection law

Human-in-the-loopYour team decides. Full audit trail.

Turn every claim into clean revenue.