Human-built CRM
!= AI-ready
Your CRM was built for clicking, scrolling humans, not autonomous agents. Your current data architecture is the single biggest bottleneck to AI adoption.
Failure Modes
Why simple AI implementations fail when they hit real-world data.
Fragmented Truth
Data silos prevent LLMs from seeing the whole customer context. Sales data lives in Salesforce, usage data in Snowflake, and support tickets in Zendesk. The AI sees three strangers, not one customer.
Fragmented Truth
Copies spread. Links don't reconcile.
Brittle Automation
Zapier spaghetti breaks the moment a field changes. Unreliable triggers cause silent failures. Your "automation" requires more maintenance than manual work.
Brittle Automation
Workflow runs, then breaks silently.
Reporting Theater
Dashboards that look green but hide operational rot. Executives make decisions based on "vanity metrics" while the ground truth in the database tells a completely different story.
Reporting Theater
Dashboards glow while the rows decay.
The Spaghetti Stack
Your architecture today
The Anatomy of a Mess
Most companies have "accidental architecture." Tools were bought by different departments at different times with no unifying strategy.
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Duplicate Records
AI models hallucinate when fed two conflicting truths about the same entity.
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Unstructured Chaos
Critical context is trapped in PDF attachments and call recordings, invisible to structured queries.
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API Rate Limits
Real-time AI agents hit API walls instantly when architecture isn't event-driven.
The Cost of Confusion
It's not just a technical headache. It's an expensive operational drag that kills velocity.
Salesforce users spending most of their time on admin work, CRM updates, and manual data entry instead of value-driving work.
Sources: Salesforce.com / Databar.ai
Decisions made on gut feeling because the dashboard is untrustworthy.
Models confidently generating wrong answers based on bad data.
Stop building on quicksand.
You can't buy AI readiness off the shelf. You have to architect it. I help companies clean the foundation so they can build the future.