Intended-use draft
From SOPs and architecture notes, AI proposes who uses the system, on which GxP records, and what a wrong result would do. You edit this until it is boring and true.
Services / CSV and CSA
CSV and CSACliniGene provides risk-based validation services for GxP applications and technology changes.
CliniGene provides risk-based validation services for GxP applications and technology changes.
Our documentation is aligned with the system’s intended use, applicable procedures, identified risks, and the customer’s quality framework.
Our documentation is aligned with the system’s intended use, applicable procedures, identified risks, and the customer’s quality framework.
Traditional CSV often tests everything the same way. Hundreds of scripted steps burn the calendar and still miss the one interface that can silently drop a lab value. CSA was issued so you could put rigor where risk is, and stop performing theater where it is not — but only if you write the rationale down.
Teams get stuck in two opposite errors: treating CSA as permission to barely test, or still IQ/OQ/PQ every click. The work is the intended-use statement, the risk table, and the documented split.
AI helps because vendor manuals, release notes, and your last validation pack are long. Drafting failure modes and delta-validation plans is language work. Assigning residual risk is not.
CSV/CSA leads, quality systems, IT validation, and system owners for EDC, eTMF, CTMS, QMS, LIMS, safety, LMS, and GxP SaaS — including emerging companies that need proportionate evidence, not a copy-paste IQ/OQ/PQ for every screen.
AI supports analysis, consistency, traceability, and document preparation. Qualified professionals review every regulated deliverable, and customers retain final approval authority. AI-generated content remains a draft until it has been reviewed and approved by an authorized individual.
Questions on fit? hello@clini-gene.com or the contact form.
Each layer has a human gate. AI does not write the official quality record.
From SOPs and architecture notes, AI proposes who uses the system, on which GxP records, and what a wrong result would do. You edit this until it is boring and true.
System impact, GxP determination, and electronic records and signatures considerations are drafted for specialist review.
Failure modes against safety, product quality, and data integrity. Each function gets a suggested assurance type: vendor evidence, automated test, unscripted, or scripted protocol.
Verification or UAT steps are drafted where risk and missing vendor evidence require them. The traceability matrix cites files, not “passed.”
New vendor release notes or config exports are diffed against the last validated state. You decide what must be re-assured.
Send the study, Vault, vendor, or inspection window. We will say what we need and what a first pass looks like.
One system owner, one validation lead, one quality approver.
Workshop plus draft. Include system impact, GxP assessment, and electronic records and signatures.
From manuals and admin screens. Mark GxP-critical vs. administrative.
Walk high-impact functions. Assess the supplier pack instead of re-testing everything by habit.
Vendor pack, automated tests, unscripted sessions, scripted verification — each with a why.
We draft the plan, URS, specifications, protocols, and RTM. Testers execute under your SOP. Deviations are classified by people.
Summary report, production-verification checklist, residual risk listed.
A checklist and a place for the next release notes so the next review is a diff, not a rewrite.
Setting. Typical: SaaS eTMF or QMS already live, validation pack aging, CSA SOP newly approved, next vendor release in 90 days.
What we do. Rewrite intended use, rebuild the risk and assurance table, draft proportionate verification, and leave a periodic-review path.
What you can show. You can explain why a dashboard was assured via vendor evidence and why e-signature was scripted — in one table aligned to your quality framework.
A single-system CSA reshaping of an existing pack is often 4–10 weeks. A net-new GAMP 5 validation tracks the system project. For a live Vault, pair this with Veeva Quality Systems services so each general release has a documented assurance path.
Email hello@clini-gene.com or use the form. Mention Computer System Validation and Computer Software Assurance so we route it correctly.
Email hello@clini-gene.com or send this form. The process is already selected.
Tell us the trial, Vault, vendor, or inspection date and what “done” looks like.
Email hello@clini-gene.com if you prefer not to use the form.
Understand where AI is being used, determine potential GxP impact, identify compliance gaps, and establish a responsible implementation roadmap.
Learn more →
Establish the controls required to use AI responsibly in regulated life-sciences operations.
Learn more →
Support Veeva QualityDocs and QMS configuration changes, verification, release readiness, periodic reviews, security assessments, and continuing improvement.
Learn more →
Develop practical quality processes, SOPs, templates, change controls, CAPAs, training programs, and audit-readiness plans.
Learn more →
Strengthen sponsor oversight, clinical documentation, eTMF readiness, vendor management, and GCP compliance.
Learn more →
Flexible continuing support for companies that do not need a full-time Quality Systems or CSV leader.
Learn more →