AI · RPA · Data Analytics · Regulatory Compliance

Validation and qualification, reinvented

We don't run validation the way it has always been run. We combine artificial intelligence, process automation and data analytics with regulatory good practice — delivering defensible evidence in a fraction of the time, with qualified review exactly where the standard demands it.

16
Lifecycle documents
70%
Less drafting time
100%
Traceability
01 Initial assessment INPUT 02 URS AI + REVIEW 03 Risk assessment AI + DECISION 04 FS / DS AI + REVIEW 05 Traceability matrix AUTOMATED 06 IQ / OQ / PQ protocols AI + EXECUTION 07 Evidence dossier AUTOMATED 08 Final report APPROVAL
Regulatory authorities
ANVISA · BrazilFDA · United StatesEMA · European UnionMHRA · United KingdomHealth CanadaPMDA · JapanTGA · AustraliaANMAT · ArgentinaINVIMA · ColombiaCOFEPRIS · MexicoISP · ChilePIC/SWHOMERCOSURANVISA · BrazilFDA · United StatesEMA · European UnionMHRA · United KingdomHealth CanadaPMDA · JapanTGA · AustraliaANMAT · ArgentinaINVIMA · ColombiaCOFEPRIS · MexicoISP · ChilePIC/SWHOMERCOSUR
Guides, standards and ISOs
GAMP 5 (2nd ed.)21 CFR Part 1121 CFR Part 210/21121 CFR Part 820EU GMP Annex 11EU GMP Annex 15EU GMP Annex 22ICH Q9ICH Q10PIC/S PI 041ISPE Baseline GuidesISO 9001ISO 13485ISO 14971ISO 27001ISO 42001IEC 62304ALCOA+FDA CSAGAMP 5 (2nd ed.)21 CFR Part 1121 CFR Part 210/21121 CFR Part 820EU GMP Annex 11EU GMP Annex 15EU GMP Annex 22ICH Q9ICH Q10PIC/S PI 041ISPE Baseline GuidesISO 9001ISO 13485ISO 14971ISO 27001ISO 42001IEC 62304ALCOA+FDA CSA
What makes us different

Three technologies that change the cost and timeline of validation

Traditional consultancies scale by hiring people. We scale with technology — and keep the regulatory decision where it belongs: with a qualified reviewer.

01 · Artificial Intelligence

Assisted documentation, not automatic

AI drafts URS, risk assessments, specifications, protocols and reports from a single knowledge base. Every output records tool, version, input, reviewer and approval — the control the draft EU GMP Annex 22 will require.

02 · RPA and automation

Evidence capture without typing

Robots walk the system screens, capture configuration, audit trail and access profiles, and assemble the paginated dossier. What used to take weeks of manual screenshots now runs on its own, with the path itself recorded.

03 · Data analytics

Review by exception, not by sampling

The full audit trail analysed for anomalies instead of a sample. Validated-state indicators, deviation detection and risk prioritisation driven by data rather than impression.

None of this replaces regulatory judgement. It replaces the repetitive work that consumes the time of the people who should be exercising it.

Assisted validation

The validation lifecycle, automated where it can be and reviewed where it must be

AI drafts and traces. The qualified reviewer decides and signs. No critical step leaves human hands — that is how the schedule gain survives an inspection.

01 Initial assessment INPUT 02 URS AI + REVIEW 03 Risk assessment AI + DECISION 04 FS / DS AI + REVIEW 05 Traceability matrix AUTOMATED 06 IQ / OQ / PQ protocols AI + EXECUTION 07 Evidence dossier AUTOMATED 08 Final report APPROVAL
AI Human Automated
01 · INPUT
Initial assessment

System technical documentation, key-user interviews, screens and release notes.

Every node records tool, version, input, reviewer and approval. It is the same control the draft EU GMP Annex 22 will expect of your operation.

Simulator

What changes in your case

A parametric model with open assumptions. Move the controls and see the effect on documentation effort. Not a quote and not measured client data — it is the model we use to size scope.

Systems to validate3
GAMP categoryC4
Configuration sizeMedium
Effort hours 682407
Traditional cycle
Assisted cycle
Project weeks 2314
Traditional cycle
Assisted cycle
Documents produced28
40%
Effort reduction
Model assumptions
  • AI cuts drafting by 70%. Qualified review and test execution are not reduced.
  • Specification documents are 75% drafting. IQ/OQ/PQ protocols are 35% drafting and 65% execution.
  • Assumed capacity: 30 productive hours per week per senior consultant.
  • GAMP category multiplies base effort: C3 ×1.0 · C4 ×1.6 · C5 ×2.4.

Illustrative figures derived from the assumptions above. Real scope is sized in the assessment.

Approach

The V-cycle, no loose ends

Every specification on the left has a mirrored verification on the right, linked by a living traceability matrix — from URS to validation report.

TRACEABILITY TRACEABILITY Validated State Maintenance 1 User Requirements (URS) Left side of the V — define 2 Functional & Design Specifications Left side of the V — define 3 Configuration & Build Base of the V — build 4 IQ / OQ / PQ Qualification Right side of the V — verify 5 Validation Report Right side of the V — verify
01

Risk-based

Effort proportional to GxP impact. No excess documentation where risk does not justify it.

02

Traceable

From URS to report, each evidence points to a requirement. Nothing loose, nothing orphaned.

03

Defensible

Dossiers structured to withstand ANVISA, FDA and EMA inspections with no improvisation.

Maturity assessment

21 control points. How many can you prove?

An independent maturity assessment covering validation, data integrity and AI governance. Eight minutes, no sign-up, results on screen — each gap linked to the standard behind it.

Compliant Attention Deviation
The cost of improvising

Where validation usually breaks

Four patterns we find in almost every diagnostic audit — and they shape how we run each project.

01

A dossier that won't survive inspection

Documents assembled from generic templates, with no traceability between requirement, risk and test. The finding shows up during the inspection — not before it.

02

Scope inflated by over-testing

Testing everything at the same intensity is expensive and does not reduce risk. Without a risk-based approach the schedule doubles, and the budget follows.

03

A validated state that expires quietly

Version upgrade, patch, new module: with change control disconnected from validation, the system leaves its validated state and nobody records it.

04

Knowledge that leaves with the consultant

A project run by a rotating junior team leaves the manufacturer dependent on the vendor, with no real knowledge transfer.

Sectors

Where we operate

From pharmaceuticals and veterinary to cosmetics, food, warehousing and carriers — wherever there is a system to validate or equipment to qualify, the method and the rigour are the same.

S.01

Pharmaceutical Manufacturing

GxP systems and equipment, from the lab to distribution.

S.02

Animal Health and Veterinary

Medicines, vaccines and animal nutrition held to the same rigour.

S.03

Medical Devices

Software as a device, quality software and production equipment.

S.04

Biotechnology and Bioprocessing

Bioproduction, critical systems and high-complexity environments.

S.05

Cosmetics and Personal Care

Production, quality control and batch traceability.

S.06

Food and Supplements

Food safety, traceability and process control.

S.07

Warehousing and Distribution

Warehouses, logistics operators and distribution centres.

S.08

Transport and Cold Chain

Carriers, thermal packaging and lane qualification.

S.09

Laboratories and Clinical Research

Analytical and clinical laboratories, and research systems.

How we start

Three steps to the first deliverable

No introductory meeting, no generic proposal. You start by seeing where you stand, and only then do we discuss scope.

01

Assessment

Eight minutes, no sign-up. Twenty-one control points evaluated, with results on screen and the full report by email. Free, and yours even if the conversation stops here.

02

Scoping

Forty-five minutes on the findings from your assessment. We leave that conversation with scope, timeline and deliverables defined — not with an off-the-shelf proposal.

03

Delivery with evidence

Every deliverable goes through you before moving on. At the end, a dossier that sustains the validated state before any health authority.

The first project is usually small on purpose: one system, fixed scope. It is the most honest way for you to judge whether it is worth continuing.

The company

Requirements turned into evidence

S² Compliance is the regulatory compliance brand of SS Souza & Sanchez Consultoria — a Life Sciences consultancy combining senior validation practice with proprietary automation technology.

We serve pharmaceutical, biotechnology, medical device and clinical research organisations. Our commitment: a validated state backed by evidence, defensible before any health authority — built in a fraction of the time the traditional method demands.

01

Proprietary technology, not spreadsheets

An in-house platform that generates and versions the lifecycle documents, with electronic execution and a chained audit trail.

02

One partner, full lifecycle

CSV, qualification, data integrity, audit and AI governance under a single methodology.

03

Multi-jurisdiction fluency

ANVISA, FDA, EMA, MHRA, PIC/S and MERCOSUR — the same evidence satisfies more than one authority without rework.

Contact

Let's talk about your validation project

Initial assessment with no commitment. Reply within 1 business day.

Base
São Paulo · SP · Brazil

Video call, no commitment.