Cloud & SaaS assurance
Assess hosted services against the regulated process they support, including shared responsibility, subprocessors, and change practice.
Technology assurance
Assurance for the platforms the process actually runs on.
Regulated work runs on services nobody in the organization operates: managed platforms, hosted data stores, third-party interfaces, and product features that change on the supplier’s release schedule.
Perspective
The question is not whether a system was validated, but whether the operating reality behind it can be relied upon — how data moves, where it is transformed, which controls belong to the supplier, which quietly remained yours, and what happens on the day the interface silently starts dropping records. This is the work of establishing and improving that; having it examined independently against evidence is a technology audit.
Capabilities
Specialist support, connected to the whole system.
Scope is tailored to the engagement; these are the core areas in which QA4Tech can contribute.
Data flow & integrity
Map data from origin to reported result through every transformation, interface, and manual intervention along the way.
Interface & integration review
Examine the places systems meet — the reconciliations, error handling, and silent failures that live between two owners.
Platform & product assessment
Evaluate clinical, laboratory, quality, and digital health platforms against intended use and the evidence a customer can actually rely on.
Security & privacy touchpoints
Review access, segregation, logging, retention, and transfer where they carry data-integrity or regulatory consequence.
Provider market readiness
Help technology providers understand, evidence, and withstand the assurance expectations of regulated customers.
Assurance surfaces
Where technology assurance concentrates.
Failures rarely occur in the middle of a well-understood system. They occur at boundaries — of ownership, of data, of change, and of attention.
The ownership boundary
What the supplier controls, what you control, and the controls both sides assume the other is operating.
The data boundary
Every point where data is transformed, mapped, re-keyed, or reconciled, and whether the original meaning survives it.
The change boundary
How supplier releases, configuration changes, and infrastructure updates reach production, and what notice you receive.
The attention boundary
Alerts, logs, and exception reports that exist but nobody reads, and the failure modes hiding behind them.
Typical scope
The technology this work covers.
Scope is defined by the regulated process and the risk it carries, not by a fixed technology list. These are the environments the work most often reaches.
- Cloud infrastructure and managed platform services underpinning regulated systems
- SaaS and eClinical platforms, including EDC, CTMS, eTMF, eCOA, ePRO, and IRT
- Laboratory, manufacturing, and quality systems and their instrument interfaces
- Data warehouses, lakes, pipelines, and analytics or reporting layers
- Medical imaging, connected devices, and digital health data flows
- Identity, access, and logging services that regulated systems depend on
- Integration middleware, APIs, and file-based transfers between organizations
Approach
Context first. Evidence throughout.
A clear sequence keeps the work rigorous while avoiding unnecessary process.
- 01
Anchor on the process
Establish the regulated activity, the decisions it produces, and the data that has to be trustworthy for those decisions to hold.
- 02
Follow the data
Trace the real path end to end, including the exports, spreadsheets, and manual steps that never made it into the architecture diagram.
- 03
Separate the controls
Determine which controls the supplier operates, which are yours, and which are assumed by both and operated by neither.
- 04
Report what is material
Set out the exposures that matter, the evidence behind them, and a proportionate route to closing them.
Reference frameworks
The expectations applied to platform assurance.
Regulatory expectation and technical control frameworks are used together, so a conclusion lands with both the quality unit and the engineering team.
- EU Annex 11 & 21 CFR Part 11
- Electronic records, audit trails, access control, and the operational controls expected around a regulated system.
- EMA guideline on computerised systems and electronic data in clinical trials
- European expectations for computerised systems, cloud services, and service providers used in trials.
- ALCOA++ data integrity principles
- Applied to real data flows rather than to a system in isolation, including transfers between organizations.
- ISO/IEC 27001 & supplier attestations
- Used as supplier evidence, with a clear view of what a certificate or SOC report does and does not cover.
- GAMP 5 (2nd edition)
- Risk-based scaling of assurance effort for infrastructure, platforms, and configurable services.
These are examples, not a complete list. The frameworks and criteria that apply to a particular engagement are identified and agreed as part of defining its scope.
Typical applications
Where this work can apply.
- Cloud or SaaS adoption in a regulated process
- Data-integrity assessment across connected systems
- Interface and integration risk after a platform change
- Technical due diligence before contracting a provider
- Digital health and connected-product data flows
- Providers preparing for regulated-customer scrutiny
Start a conversation
Bring the right level of assurance to the next decision.
Begin with a focused discussion about context, risk, evidence, and the outcome you need.