Services / CSV and CSA

CSV and CSA

CSV and CSA

Computer system validation (CSV) and computer software assurance (CSA) are how you prove a GxP system is fit for intended use. CSA asks you to think: which functions can harm a subject or the data, and what assurance is already available from the vendor? CliniGene uses AI to draft intended use, risk scenarios, and test ideas from your manuals and SOPs. Your CSA owner decides the official mix of scripted tests, unscripted assurance, and vendor evidence.

Contact us about this Email hello@clini-gene.com

The problem this process is built for

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: (1) “CSA means we barely test,” which will not survive inspection, or (2) “CSA means we still IQ/OQ/PQ every click,” which wastes the guidance. 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.

What this has to survive

An inspector asks why a dashboard was not scripted and why e-signature was. You open one table: function, risk, method, file pointer. That is CSA. “We followed the vendor” without a cell in that table is not.

Standards we score against

  • FDA Computer Software Assurance for Production and Quality System Software (2022 guidance)
  • GAMP 5 2nd edition — categories, risk, supplier assessment
  • 21 CFR Part 11, EU Annex 11, and your Part 11 SOP
  • ALCOA+ / data-integrity policy
  • Your CSV/CSA SOP and periodic-review procedure

Where teams get stuck

  • No intended-use paragraph; validation scope is “the whole system”
  • GAMP category argued in email, not in the VP
  • Same scripted depth for a report color and for an e-signature
  • Vendor validation package unread; everything re-tested
  • Periodic review is a calendar reminder with no release diff

Who it is for

CSV/CSA leads, quality systems, IT validation, and system owners for EDC, eTMF, CTMS, QMS, LIMS, safety, and GxP SaaS.

What AI does — and does not do

On CSV/CSA work, AI drafts intended use, risk scenarios, the assurance-split table, and protocol language from manuals and your last pack. Your CSA owner decides scripted vs. unscripted vs. vendor evidence. AI drafts maps, flags, first-pass language, and punch lists. A named specialist accepts, edits, or dismisses every official finding. AI does not sign a quality record, approve a vendor, freeze Vault, or speak in an inspection.

Questions on fit? hello@clini-gene.com or the contact form.

When to start this process

Start when a SaaS GxP system is live with an aging IQ/OQ/PQ, when a CSA SOP was just approved, or when the next vendor release will otherwise trigger a full re-test you cannot staff.

Also start for a net-new configured system so the VP is not written after go-live. If Vault is already live, pair this with Veeva managed services for releases and drift.

What this is not

  • Telling you CSA means “barely test”
  • AI executing official test scripts
  • Replacing your validation SOP with a blog post
  • Approving residual risk — that is your quality unit
AI in this process

How the model is used, layer by layer

Each layer has a human gate. AI does not write the official quality record.

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 — that paragraph drives everything else.

Boundary and GAMP hint

Interfaces, SOUP, cloud vs. on-prem, configurability. AI suggests a GAMP category and supplier-assessment questions. The team confirms the system boundary (what is in the VP vs. a connected system’s VP).

Risk scenarios

Failure modes against safety, product quality, and data integrity (including audit trail, access, backup). Each function gets a suggested risk and a suggested assurance type: vendor evidence, automated test, unscripted, or scripted protocol.

CSA rationale table

The split is written as a table an inspector can read: function, risk, assurance method, pointer to evidence. If you cannot fill a cell, that function is not assured yet.

Protocol and evidence index

Scripted steps and expected results are drafted only for high-risk / no-vendor-evidence functions. Screenshots and logs are indexed so the report cites files, not “passed.”

Delta / periodic review

New vendor release notes or config exports are diffed against the last validated state. AI proposes a delta plan; you decide what must be re-assured.

Want this process walked on your trial or system?

Send the study, Vault, vendor, or inspection window. We will say what we need and what a first pass looks like.

hello@clini-gene.com

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End-to-end process

Step-by-step: from intake to re-check

  1. 1

    Name the system and the owner

    One system owner, one validation lead, one quality approver. CSA fails when “everyone” owns it.

  2. 2

    Write intended use

    Workshop + AI draft + edit. Include what the system must not be used for (e.g. not the legal source of a submission number).

  3. 3

    Inventory functions and interfaces

    From manuals and admin screens. Mark GxP-critical vs. administrative.

  4. 4

    Risk workshop

    Walk high-impact functions. AI comes with a draft FMEA-style list; the room scores and cuts.

  5. 5

    Document the assurance mix

    Vendor pack, automated tests, unscripted sessions, scripted IQ/OQ/PQ — each with a why. This is the CSA record.

  6. 6

    Author and execute

    We draft protocols and the evidence index. Testers execute under your SOP. Deviations are written with AI-assisted language; classification is human.

  7. 7

    Report and release

    Summary report ties each critical function to evidence. Residual risk is listed, not hidden.

  8. 8

    Park the periodic-review machine

    A checklist and a place to drop the next release notes so the next review is a diff, not a rewrite.

What a typical engagement looks like

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/assurance table from the vendor pack + your config, draft a lean OQ for high-risk functions only, and leave a delta-validation checklist for the release.

What you can show. You can explain to an inspector why a dashboard was assured via vendor evidence and why e-signature was scripted — in one table.

Time

A single-system CSA reshaping of an existing pack is often 4–10 weeks. For a live Vault, pair this with Veeva managed services so each general release has a documented assurance path.

How a typical calendar runs

  1. Week 0. Name the system, owner, validation lead, quality approver. Collect last VP, vendor pack, architecture.
  2. Week 1. Intended-use workshop. AI draft. Edit until it is boring and true.
  3. Week 2. Function and interface inventory. GAMP / boundary hint. Team confirms what is in this VP.
  4. Week 3–4. Risk workshop. CSA rationale table: function, risk, assurance method, evidence pointer.
  5. Week 4–10. Draft only the scripted depth that the table requires. Execute under your SOP. Park a delta-review checklist for the next release.

What we need from you

  • Current VP / last summary report if any
  • Vendor validation / assurance package and release notes
  • Architecture / data-flow and integration list
  • Part 11 and CSV/CSA SOPs and templates
  • Named CSA / validation owner

You receive

  • Intended-use statement and CSA rationale
  • Function risk table with assurance/validation split
  • Draft protocols and evidence index
  • Summary-report skeleton and residual-risk list
  • Periodic-review / delta-validation checklist

Questions we hear first

Is CSA allowed instead of CSV?
CSA is how FDA describes assurance thinking for production/quality software. You still need a procedure, intended use, risk, and evidence. We do not tell you to “skip validation.”
Will AI execute tests?
No. People execute. AI drafts steps and indexes evidence.
What about spreadsheets and macros?
They are systems. We can include them in the inventory and risk them. Many belong in a lighter assurance path with lock-down and verification, documented.
Does CSA apply only to manufacturing software?
FDA’s 2022 CSA guidance is written for production and quality-system software. Sponsors still use the same thinking for GxP SaaS (eTMF, QMS, EDC) under their own SOP — we write the rationale; we do not invent a regulation.
What is “unscripted assurance” here?
A documented exploratory session against a high-risk function, with notes and evidence, when a fully scripted protocol is not the best use of rigor. It is still planned and reviewed — not “someone clicked around.”
Can you validate a spreadsheet?
Yes, as a system: intended use, lock-down, calculation checks, and a lighter assurance path when that matches risk. Many labs still treat macros as informal notes; we will not.

Start with CSV and CSA

Email hello@clini-gene.com or use the form. Mention CSV and CSA so we route it correctly.

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Talk with us about CSV and CSA

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.

Send a message

Email hello@clini-gene.com if you prefer not to use the form.

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