Fragmented Information
Administrative information remains distributed through disconnected systems and workflows.
Our Solution
Build and modernize digital applications with access controls, data protection, integration, and operational reliability.
Our Solution
Automate document intake, information extraction, validation, and routine system updates using approved operational rules.
Our Solution
Prepare cases and direct incomplete, complex, or exceptional requests to the appropriate authorized employees.
Our Solution
Retain workflow actions, validation results, approvals, exceptions, and supporting evidence for authorized review.
Automate complex healthcare workflows and build intelligent digital solutions
that improve efficiency, compliance, and patient outcomes.
NORA helps your business automate complex healthcare workflows from documents to compliance for faster, safer, and fully traceable operations.
Extract, classify, and validate information automatically from medical records, referral forms, and clinical documents.
Map policies, controls and evidence against regulatory requirements while maintaining traceable, audit-ready records.
Automate requests, prioritization, approvals, and exception handling across maintenance and administrative operations.
Transform lengthy clinical records into structured summaries that support professional review while keeping healthcare staff in control.
SmartDev designs, integrates, and operates secure AI-enabled healthcare solutions that connect with existing systems, support real clinical and operational workflows, and remain reliable after go-live.
Analyze clinical data to surface relevant insights that support that not replace healthcare professionals’ decisions.
Identify readmission risks, patient deterioration, and resource demands through predictive models.
Develop AI assistants for appointment scheduling, care navigation, FAQs, and personalized communication.
Connect fragmented clinical, operational, and administrative systems through secure, interoperable data platforms.
From patient-facing platforms to internal operations,
here's where our healthcare engagements typically focus.
Map information, systems, access requirements, responsibilities, and human decision points.
Connect systems, automate approved administrative tasks, and protect sensitive information.
Monitor service performance, exceptions, access, traceability, and operational quality.
Choose the level of ongoing accountability that matches what SmartDev delivers from
one AI-enabled workflow to a broader AI system or your evolving software estate.


Common questions from healthcare teams
Yes. Our solutions integrate with your existing EHR, scheduling, and hospital infrastructure via API, there’s no rip-and-replace of the tools your team already uses.
Your compliance and privacy officers own the interpretation. We build those approved requirements into the workflow: access scoped to named individuals and logged, encryption in transit and at rest, segregated environments with configurable data residency, data minimisation so the workflow only touches what it needs, and a traceable record of every AI-assisted step. Patient data is never used to train public models. Any case that’s ambiguous, incomplete, or clinically consequential routes to a named person before anything happens.
It depends on scope, but the shape is consistent. Workflow Qualification and Production Design takes one to three weeks and ends in a real decision — build, redesign, or don’t build. Production Deployment follows from there; in a healthcare setting, timelines are usually set by your security review, integration access, and clinical sign-off rather than by our engineering.
No. Nothing we build makes a diagnosis, a treatment decision, or a clinical judgment, and we don’t position anything as a medical device. Where AI is involved it works on the administrative and documentation layer from prior-authorization file completeness, claims and billing exceptions, referral intake, records requests, coding-support preparation.
Your compliance and privacy officers own the interpretation. We build those approved requirements into the workflow: access scoped to named individuals and logged, encryption in transit and at rest, segregated environments with configurable data residency, data minimisation so the workflow only touches what it needs, and a traceable record of every AI-assisted step. Patient data is never used to train public models. Any case that’s ambiguous, incomplete, or clinically consequential routes to a named person before anything happens.
Yes — it’s our most common starting point, and the blocker is rarely the model. We assess what’s there against what production actually demands: EHR integration, access and audit controls your privacy officer will sign off on, exception handling that routes to a named owner, evaluation, and who operates it day to day. Working components are retained; the rest gets rebuilt. You don’t start over.