DSRV.io · Enforcement-informed quality intelligence
Case file · The operatorSubject: Thedson “Ted” DesravinesRole: Founder / OperatorStatus: Active

About Ted Desravines

The evidence habit came first. The AI came later.

I work where quality systems, inspection risk, stability programs, and AI tools meet. DSRV is my operating surface for turning pharma-quality questions into evidence, judgment, and next safe moves.

Quality operator

Pharma quality and stability program experience, grounded in practical execution.

Human reviewed

AI supports evidence mapping. Regulated decisions stay human-gated.

Builder lens

Tools should reduce ambiguity, not create another black box.

Black Haitian artist painting a computer monitor into existence inside an AI art galleryOperator-led
§ 01The operator ledger

4

Enforcement clusters

483 response · stability · investigations · AI in quality

6

Scoring dimensions

Every Inspection Risk Scan, same rubric

8

Dispatch briefs filed

Each with the exercise built to go with it

0

Decisions delegated to AI

Regulated calls stay human-owned. Always.

§ 02The through-line

Origin

Quality, stability, inspection readiness, and the pressure of regulated operations. The instinct to ask “what does the evidence actually say?” came from the bench and the batch record, not from software.

Method

AI as a drafting, evidence, and triage layer — never as an unsupervised regulated decision-maker. If a tool makes judgment more hidden instead of more grounded, it doesn't ship.

Invitation

Ask a real pharma-quality question. Get a grounded read, a human-reviewed next move, or a clear statement of what's blocking one. That exchange is the whole product.

Human-reviewed

Founder note

Why DSRV exists

I built DSRV for the moments when regulated teams do not need another dashboard — they need a clearer read on what the evidence says, what the risk means, and what the next safe move should be.

My background is quality, stability, and inspection-facing work. My point of view is simple: AI is useful only when it makes judgment more grounded, not more hidden.

This is why DSRV stays human-reviewed, evidence-first, and practical. The goal is not to replace quality leadership. The goal is to give serious operators a sharper surface for asking better questions.

— Ted

Founder / Operator · Global quality & stability program management

In AI’s lane

  • Mapping a question against source-backed, reviewed history
  • Drafting the evidence checklist before a reviewer asks for it
  • Naming the gap in an investigation while it can still be fixed
  • Triage: sorting what's routine from what deserves escalation

Human-owned. Not negotiable.

  • Batch release and any regulated disposition
  • The final word in a 483 or CAPA response
  • Shelf-life claims and stability justifications
  • Every high-consequence judgment call — routed to review, by design

The invitation

Bring me a question your evidence can’t answer yet.

A grounded read, a human-reviewed next move, or a clear statement of what’s blocking one — usually within 24–48 hours.

Scientific research laboratory
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