Pillar 01 · Data
The data foundation AI actually needs.
Governance, audit and production in one pillar. We turn an unstructured CRM into a clean, governed, activatable base — the foundation every automation and agent depends on. Clean a CRM without rules and it decays again in months; structure it with rules and you build a system that lasts.
- Scope
- Governance · Audit · Production
- Duration
- 8–16 weeks
- Inspiration
- DGI Framework
- Fit
- B2B · mid-market
The data debt that piles up
It built up quietly. No one was steering it.
Your CRM accumulates data debt. It built up quietly, over years, with no one really steering it.
of enterprise AI projects fail for lack of adequate data infrastructure.
Source · Informatica — Enterprise AI Agent Engineering 2026
Collected without cleaning or normalization
Years of accumulation, zero structured maintenance.
Processes evolve, the CRM doesn't follow
The tool stays frozen while practices move on.
Fields, tags and rules pile up ungoverned
Each team adds its own; no one arbitrates.
No continuous refresh of contacts and accounts
Data ages with no process to keep it current.
The cost of inaction
What it costs you, every quarter.
- Reps spend their time fixing the CRM instead of selling.
- Opportunities are mis-qualified or stale in the pipeline.
- CRM reporting becomes unreliable for management.
- The CRM gradually loses the sales team's trust.
of revenue and sales leaders don't trust the data in their CRM.
Source · WinPure — CRM Data Hygiene Report
of organizations say less than half their CRM data is accurate and complete.
Source · Validity — State of CRM Data Health
of companies lose more than 10% of revenue to CRM data quality.
Source · Validity — State of CRM Data Health 2022
Governance
The problem isn't the data. It's the absence of rules to manage it.
We formalize the rules the whole commercial system rests on — across four dimensions.
Sales cycle & pipeline
Definition of the commercial cycle stages and the pipeline.
Opportunity qualification
Shared rules, used by every team the same way.
CRM usage standards
Fields, pipeline, accounts: one common reference.
Cross-team process
Sales, Marketing, Finance, Data — aligned around the CRM.
The deliverable
The deliverable: a CRM Handbook.
Governance becomes a reference document shared by every team. It's the base AI agents can later operate on reliably.
- CRM Handbook — every rule, formalized in one document
- CRM structure — objects, fields, naming conventions defined
- Sales pipeline — normalized and comparable across teams
- Roles & responsibilities — clear across Sales, Marketing, Data, IT
- Data lifecycle — creation, enrichment, archiving, deletion
- A structured base — ready for data, automation and AI work
Audit
Audit: a full diagnostic of your CRM.
Before we touch anything, we measure it. You get a clear read on what's broken and what it's worth fixing.
- Quality scoring across critical fields
- Duplicate mapping and volume
- Missing critical fields and gaps
- Out-of-base contact potential against your ICP
Production
Production: cleaning and enrichment to your ICP.
Each record becomes reliable, complete and activatable — ready to plug into your outbound stack or hand to an agent.
- Deduplication across the base
- Enrichment of critical fields to your ICP
- Verified emails and direct mobiles
- Up-to-date LinkedIn profiles
Methodology
Inspired by the Data Governance Institute (DGI) framework.
Sponsorship & scope
1–2 weeksDefine the project scope, secure the executive sponsor, identify key stakeholders.
Data ownership & stewardship
1–2 weeksName data owners per team (Sales, Marketing, Finance, Data, IT) and define responsibilities per CRM object.
Diagnostic of CRM usage
2–4 weeksAnalyze real practices, interview sales teams, map frictions and inconsistencies.
Rules & standards
2 weeksFormalize pipeline stages, qualification criteria, entry standards, deduplication rules.
Write the CRM Handbook
2 weeksFull documentation of the commercial system, validated across teams.
Validation & adoption
2–8 weeksTrain teams, embed into internal processes, set up ongoing data-quality monitoring.
What a structured CRM returns
The upside, measured.
revenue improvement for companies running a structured CRM.
Source · Salesforce — State of Sales
forecast accuracy for companies running a structured CRM.
Source · Salesforce — State of Sales
Already deployed in
qualified B2B databases
CRM automations
contacts cleaned
Claude API / MCP specialists
Requirements & duration
What it takes to run this well.
Total duration
8–16 weeks
From scoping to team adoption.
Prerequisite
Executive sponsor
Read access to the CRM plus a mandated owner on the commercial side.
Teams involved
Sales · Marketing · Data · IT
A cross-functional project — we work with operators, not just IT.
Next step: keep it alive with automation.
A clean base decays without maintenance. Automation keeps it current — no manual upkeep.