The Dossier: Where AI GTM Begins
Every AI decision downstream sits on a customer dossier. Most companies have never built one.
A derived foreign-key field in one client's data warehouse — the column that joins every call recording to the right CRM account — was wrong on 42.6% of records. 37,000 calls attributed to wrong accounts.
Every account had activity. Every dossier looked plausible. Nobody noticed for weeks.
Plausible is the enemy of correct.
Every System Tells a Different Story
Here's what happens at every B2B SaaS company I work with. Five systems know something about their customers. CRM. Call recordings. Billing. Product analytics. Support tickets.
Each tells a different story. The CRM says the account is "Active." Billing says they cancelled last month. Product shows the last login was 94 days ago. The call system has 12 recordings, but 5 of them belong to a different company — joined by a fuzzy name match somebody built in 2019 and never audited.
Nobody stitches these together. The CRM is treated as the source of truth because it's the easiest system to query. But the CRM is third in the trust hierarchy — behind what customers actually did and what they actually said.
The Trust Hierarchy
When two systems disagree about an account, prefer in this order:
Customer actions — product events, logins, payments, feature usage. They voted with their behavior.
Customer voice — call transcripts, support tickets, emails they wrote. They said it themselves.
CRM-derived state — opportunity stages, account types, lead-source classifications. This is what reps entered. One step removed from reality.
A rep marks a deal "Customer" when commission triggers. Product data shows that customer never logged in. The product is right.
This order is load-bearing. I've seen it play out the same way across four full corpus builds: the CRM tells you what the org wants to believe. Product tells you what's actually happening.
What a Customer Dossier Is
A customer dossier is a single sorted timeline per account. Every system. Every event. Provenance on every field. Conflicts surfaced, not hidden.
It answers one question: What does every system we have say about this account, and where do they disagree?
The dossier doesn't score, predict, or recommend. It describes. It carries evidence. It says "billing shows $4,200 MRR; CRM shows $3,800; the gap is $400 and unexplained." It doesn't say "this customer is at risk." That's a different job downstream.
This distinction matters. The dossier is the durable artifact. Reasoning runs on top of it. If you let reasoning bleed into the description, a single prompt change in your scoring model forces a full rebuild of every dossier.
Build the artifact right, and every downstream job — churn analysis, expansion scoring, win-loss — gets cheaper and more accurate. Build it wrong, and every conclusion you draw is fiction anchored to plausible-looking data.
Who Gets This
The free section diagnosed the problem: every system lies a little, and nobody reconciles the lies.
Free: what you just read — why your CRM can't be the single source of truth, and what a customer dossier actually is
$50/mo (most readers start here): the 6-wave methodology below — how to build dossiers that catch the 42.6% join errors, the 282-match self-domain trap, the $1.46M fake-account inflation. Identity linking, revenue reconciliation, the critique trio.
$2,499/yr: Every tool I ship. Edge Copilot is how you talk to all of it through Claude Code. Current tools: Edge Copilot, AutoClaygent, Agent 7, Who to Target and What to Say, Blueprint Cloud, Technology Finder, Video List Extractor, Competitor Monitor, LinkedIn Engagement, Domain & LinkedIn Finder, Dossier Builder. Whatever ships next is included. Plus all 3 courses + weekly office hours.