LessAdmin.MorePatientCare.

Our Healthcare Knowledge AI is built exclusively on Microsoft Azure OpenAI, hosted within your organisation's own Azure tenancy. No patient data is processed by public AI models or shared with third parties. We provide full documentation of the compliance architecture and work with your Information Governance team to ensure all deployments meet your specific regulatory obligations.

Yes. The Knowledge AI and workflow automation tools are mobile-responsive and can be accessed from tablets and mobile devices used on the ward. We design the user experience around clinical workflow, not office-based work patterns.

No. Our AI and automation layer integrates with your existing EHR — Epic, System One, EMIS, Cerner, and others. We add intelligence and automation on top of what you already have. EHR replacement is a separate, much larger project that we only recommend when your current system is genuinely limiting your clinical capability.

Role-based access control is a core feature of the Knowledge AI platform. Protocols accessible to consultants may differ from those available to student nurses. Patient-identifiable information is kept entirely separate from the knowledge base. Your Information Governance lead is involved in defining the access model during Discovery.

Our 2-week Discovery Workshop produces a detailed roadmap. Most healthcare clients have core knowledge AI and workflow automation live within 10–14 weeks. Full platform maturity, including onboarding AI and compliance automation, typically takes 4–5 months.

This is an important conversation that we have explicitly in every healthcare engagement. Our AI tools are designed to assist and support clinical staff — handling administrative and information retrieval tasks — not to replace clinical judgement or patient-facing roles. We include structured communication planning and staff engagement in every implementation.

Yes. The Knowledge AI includes a content management workflow that allows designated clinical leads to update protocols and guidelines, with the AI model automatically reflecting the updated content. Version control ensures that historical versions are retained for audit purposes.

We run structured knowledge capture sessions with experienced clinical staff during Discovery and implementation — capturing the "how things actually work here" knowledge alongside formal protocols. This is one of the most valuable parts of the onboarding AI build and a specific area where we invest implementation time.

Fixed-fee, milestone-based. Full costs are agreed before the engagement begins and are tied to defined delivery milestones. No time-and-materials surprises.

We work with both NHS-funded and privately funded healthcare organisations. NHS engagements follow Crown Commercial Service procurement routes where applicable. All deployments meet NHS Digital's data security and protection toolkit requirements.

All engagements include a structured hypercare period. Beyond that, we offer managed service agreements covering platform support, content updates, and continuous improvement. The Knowledge AI model requires periodic retraining as protocols and guidelines evolve — this is included in the managed service.

Yes. We build operational dashboards that provide board-level visibility of clinical productivity, compliance status, and staff utilisation — connecting data that currently lives in multiple disconnected systems into a single management information view.