Nine services, mapped to the healthcare value chain.

The client problem

AI pilots multiply across wards, the revenue cycle and the contact centre, but few reach production. There is no shared, evidence-based view of where the hospital stands on data and AI, which use cases pay back, or who owns them.

Outcomes

• A maturity baseline across 12 capability layers and five stages, scored on evidence rather than opinion
• A prioritised roadmap of clinical, operational and financial use cases, with a business case for each
• An AI operating model: ownership, clinical safety sign-off, funding and controls

What we do

• Data & AI maturity assessment
• AI strategy & use-case prioritisation
• AI operating model & clinical-safety governance
• Business case & value tracking

Typical engagements

• AssessmentMaturity assessment and roadmap
• Pilot · 30-45 daysProve the top-ranked use case on your data
• BuildRoadmap delivered through our Build and Transform services
• Managed runValue tracking and roadmap refresh

Delivered with

The client problem

Patient data sits across many systems under health-data privacy law and accreditation standards. Auditors ask who accessed which record and why, reports need traceable numbers, and AI adds a new layer to govern.

Outcomes

• A working data-governance function with clinical and administrative data owners
• Role-based access and masking, consent records and a per-user audit of every query and action
• AI and agent governance: grounding, validation, approvals and a kill switch

What we do

• Data-governance operating model
• Health-data privacy (DPDP Act, HIPAA), ABDM-aligned consent & role-based masking
• Master patient index & clinical data quality
• Lineage for quality, accreditation and regulatory returns
• AI & agent governance

Typical engagements

• AssessmentPrivacy, access and data-quality gap review
• Pilot · 30-45 daysMasking, audit and lineage for one high-risk dataset
• BuildGovernance function, catalogue and controls, hospital-wide
• Managed runOngoing DQ monitoring and access review

Delivered with

The client problem

Clinicians spend hours on documentation and chasing results, deterioration is spotted late, prescribing errors and stock-outs surface after the order, and the record is split across specialties.

Outcomes

• Deteriorating inpatients surfaced early, scoped to the treating doctor
• Orders, prescriptions and work-ups validated against the lab list, pharmacy stock and interaction rules before commit
• Summaries and discharge letters drafted from the record for the clinician to sign

What we do

• Patient 360 & cross-specialty record
• Early warning & deterioration scoring
• Diagnostic work-up & medication-safety support
• Critical-results management
• Documentation & discharge-summary drafting

Typical engagements

• AssessmentClinical workflow and safety review
• Pilot · 30-45 daysEarly warning or work-up support on one ward or specialty
• BuildPatient and Doctor 360 across departments
• Managed runRule upkeep, model monitoring and audit

Delivered with

The client problem

Appointments, referrals and registration run on phone calls and repeated forms; eligibility is checked too late and patients cannot get simple answers about their visit or their bill.

Outcomes

• One patient identity from booking to billing
• Referrals and pre-authorisations prepared before the patient arrives
• Self-service answers on appointments, balances and next steps

What we do

• Scheduling & no-show prediction
• Referral triage & routing
• Eligibility & pre-authorisation automation
• Conversational patient service
• Patient balances & itemised bills

Typical engagements

• AssessmentAccess journey and data review
• Pilot · 30-45 daysOne specialty or one contact reason end to end
• BuildIntegrated access and patient-service platform
• Managed runModel monitoring and MLOps

Delivered with

The client problem

Beds, theatres and discharges are managed on phones and whiteboards, so emergency patients wait for beds held by patients ready to go home, and stock-outs surprise the wards.

Outcomes

• Capacity against demand per department, live: free beds, discharges due, requests waiting
• Admissions allocated from one queue and discharge blockers surfaced early
• Supply and pharmacy stock planned from the demand the wards are about to create

What we do

• Bed management & patient flow
• Discharge planning
• Theatre & clinic utilisation
• Supply chain & pharmacy stock planning
• Automation control tower & RPA

Typical engagements

• AssessmentFlow, capacity and stock diagnostic
• Pilot · 30-45 daysCapacity board and discharge planning for one site
• BuildHospital 360 and operations data products
• Managed runBot, model and agent operations under SLA

Delivered with

The client problem

Claims are denied for missing justification, insurer and TPA queries wait for a clinician, billable items go unbilled and remittances are reconciled by hand — so cash is stuck and leakage is found late.

Outcomes

• Denied, appealed and stuck claims worked from one queue, with status and ageing live
• Payer replies and pre-authorisations drafted strictly from the treating record, reviewed and sent by finance
• Leakage detected and recovered, and remittances reconciled to claims and the ledger

What we do

• Claims & denials management
• TPA / payer query and pre-authorisation drafting
• Charge capture & revenue-leakage recovery
• Remittance reconciliation
• Service-line P&L, FP&A & commentary

Typical engagements

• AssessmentRevenue cycle and denial diagnostic
• Pilot · 30-45 daysClaims workqueue and TPA desk for one payer group
• BuildRevenue 360, reconciliation and FP&A rollout
• Managed runRevenue-cycle squads run under SLA

Delivered with