AI strategy & adoption
Assess where AI genuinely adds value across your product and delivery, then put it into practice with a plan your team can own.
Saifo helps medical device manufacturers, NHS teams and health-tech companies use AI to build better software, faster — without compromising on safety, quality or compliance.
From strategy to shipped software — grounded in the standards and evidence that regulated healthcare demands.
Assess where AI genuinely adds value across your product and delivery, then put it into practice with a plan your team can own.
Design and build software as a medical device to IEC 62304, ISO 13485 and IEC 62366 — with the documentation to match.
Automate manual steps across engineering, QA and regulatory work, so people spend their time on judgement, not repetition.
Architect systems that hold up to audit: traceability, risk management and evidence built in from the first commit.
Connect clinical and device data cleanly — HL7, FHIR and DICOM — for products that fit into real care pathways.
Act as your interim CTO or lead engineer — setting direction, raising the bar and de-risking delivery.
AI accelerates the work; accountability stays with people. Every AI-assisted output is reviewed, traceable and fit for a regulated setting.
Draft, structure and maintain technical files, test evidence and clinical documentation with AI in the loop — reviewed and signed off by a human.
LLM-assisted code review, test generation and legacy modernisation that keeps quality high and cycle times low.
Assemble and cross-check regulatory submissions so review cycles shrink from weeks to days, with a clear audit trail.
Accelerate literature review, competitive analysis and early R&D — surfacing evidence quickly without cutting corners.
A few representative engagements. Details are illustrative — replace with your own.
Introduced an AI-assisted documentation pipeline tied directly to the codebase, keeping the technical file current with every release and freeing engineers to focus on the product.
Built an LLM-assisted triage tool with clinician review, deployed inside existing information-governance controls — cutting a six-week backlog to four days.
Acted as fractional technical lead through architecture, build and first customer go-live — shipping a FHIR integration in five weeks against an estimate of five months.
Saifo is a specialist consultancy focused entirely on healthcare and medical device software — the kind of work where safety, evidence and traceability are not optional. Our consultants each bring more than fifteen years in the sector.
We help teams apply AI where it earns its place: removing manual effort, shortening delivery cycles and keeping quality high, all within the standards that regulated environments require.

Ismael is a senior medical device software and systems engineer with more than fifteen years delivering connected, sensor-based devices in FDA- and MDR-regulated environments. He has built and verified software for platforms including Smith&Nephew’s LEAF patient-monitoring wearable and Stryker’s MotionSense — spanning firmware, wireless (BLE) connectivity, mobile and cloud, all under ISO 13485, IEC 62304, FDA 21 CFR Part 820 and EU MDR design controls.
Today he leads AI engineering for secure NHS and healthcare data platforms, bringing the same discipline — traceability, automated testing and release governance — to clinical systems. He founded Saifo to help teams pair that rigour with modern AI: accelerating delivery and cutting manual effort without ever compromising the safety, evidence and standards regulated healthcare demands. He leads every engagement personally, pairing hands-on delivery with senior technical direction.
Whether you are scoping an AI initiative, building software as a medical device, or need senior hands on delivery — we would be glad to talk it through.