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.

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.