AI-Ready Operations — Readiness Assessment
Score whether your data and process can carry an AI revenue or triage agent — 18 checks across 5 dimensions (identity, completeness, consistency, governance, process) returning a GO / FIX-FIRST / NOT-READY verdict, with a fix-first plan. Excel assessment + 15-page handbook + worked example + go/no-go brief.
One-time purchase · instant download · no subscription
Last updated 2026-06-07 — The Readiness Playbook expanded to a 15-page handbook — a 0–4 scoring rubric, two worked examples end to end, per-dimension remediation, autonomy calibration, a go-live runbook, and monitoring readiness over time. (Workbook also adds a re-score cadence + target.)
AI Adoption & Governance
The operator layer for putting AI agents into production — data and process readiness, an AI governance register, an agents-in-production tracker, and AI vendor TCO. Govern the agent, don't just buy it.
Why this is operator-grade
Built by Petko Petkov — a 15-year enterprise IT operator who has sat on both the vendor-distribution and buyer-operator sides of the table. Every Vihren Labs product is built from real scenarios: real SAP T-codes, real regulation article numbers, real cutover-night failure modes. Not consultant theory — the templates the operator wished existed when the system had to work on Monday morning.
About the maker →The thinking behind it
Your AI agent will amplify your data problems, not fix them
An AI agent is an amplifier — point it at fragmented, duplicated, or stale data and it scales the confusion, fluently. Why bad data no longer looks broken but looks persuasive, why enterprise systems were never built for autonomous decisions, and the three readiness questions — identity, completeness, source of truth — to answer before you deploy an AI agent on anything that matters.
Governance, not agents: the operating model most AI programs skip
Most AI agent projects don't fail on the model — they fail on the operating model: no decision rights, no use-case gate, broken data, runaway cost, no owner after launch. Why the first question isn't 'which agent should we buy' but 'who owns this, and how do we decide', and what an AI Center of Excellence actually is — a thin function with a charter, a GO / PILOT / PARK gate, eval standards, a risk register, and run-and-maintain ownership across the agent lifecycle.
Frequently asked
What is the AI-Ready Operations — Readiness Assessment?
Score whether your data and process can carry an AI revenue or triage agent — 18 checks across 5 dimensions (identity, completeness, consistency, governance, process) returning a GO / FIX-FIRST / NOT-READY verdict, with a fix-first plan. Excel assessment + 15-page handbook + worked example + go/no-go brief.
Should I run this before deploying an AI agent on sales, support or operations?
Yes. An AI agent acts on whatever your data says — on duplicated or incomplete records it confidently produces the wrong rankings. This scores your data and process across five dimensions (identity, completeness, consistency, governance, process) and returns a GO / FIX-FIRST / NOT-READY verdict before you deploy, with a blocker gate so one weak dimension cannot hide behind a good average.
Is this a tool for building an AI agent?
No — it is the data and process readiness layer underneath, and it is deliberately tool-agnostic. It tells you whether your data can carry an agent and, if not, exactly what to fix and in what order. It does not recommend or build any specific AI tool, and it makes no revenue-multiple claims.
How much does the AI-Ready Operations — Readiness Assessment cost, and is it a subscription?
$149 for a single-operator licence, or $299 for a team licence. It is a one-time purchase on Gumroad — you download it and own it, with no subscription or recurring fee.
Who is the AI-Ready Operations — Readiness Assessment for?
It is part of the Vihren Labs AI Adoption & Governance line. The operator layer for putting AI agents into production — data and process readiness, an AI governance register, an agents-in-production tracker, and AI vendor TCO. Govern the agent, don't just buy it.
Who builds Vihren Labs products?
Petko Petkov — a 15-year enterprise IT operator who has worked both the vendor-distribution and buyer-operator sides of the table: SAP S/4HANA migrations, master data management and governance, IT vendor procurement from the distribution side, EU regulatory rollouts, and large shared-services / GBS transitions across Europe. Every product is built from real scenarios — real SAP T-codes, real regulation article numbers, real cutover-night failure modes — not consultant theory.
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