From AI draft to approval

  1. Software checks every output

    Validation in code catches errors before a person sees them.

  2. A person approves what matters

    Nothing consequential goes out without staff review.

  3. Every decision is logged

    A clear audit trail of what was drafted, changed and approved.

Principles

  • Validation in code.

    Every AI output is checked by deterministic rules before anyone sees it: format, required fields, allowed values.

  • Human review gates.

    Anything consequential waits in a review queue until a staff member approves, edits or rejects it.

  • Refusal on low confidence.

    When the system isn’t sure, it says so and routes the item to a person instead of guessing.

  • Personal information protected.

    Personal details are scrubbed before text reaches a model, where the project calls for it.

  • Audit trail.

    What was drafted, what changed and who approved it are logged.

  • Cost controls.

    Usage limits and monitoring keep AI costs predictable.

Proof

US innovation consultancy / national-brand client, under NDA

AI-assisted SMS coaching platform

Igor was sole engineer on a human-reviewed AI system with a generation pipeline, deterministic validation, PII scrubbing, admin review gates, Twilio keyword/opt-out state machines, scheduling, and cost controls.

Contract since Aug 2026, under NDA

A Techstars company

AI agents in production; generation of long regulated documents with human legal review; currently building live two-way voice agents.

OpenAI Select Partner badge

Vigorous Software Inc. is an OpenAI Select Partner.

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