sixdegree

Revenue risk, account context, and the systems between them.

Practical field notes on finding the evidence your CRM, health score, and forecast leave out.

The escalation your renewal forecast cannot see

RevOps·Support·Context

The escalation your renewal forecast cannot see

Support knows the account is unhappy. The forecast does not. The two systems hold the same customer under different identifiers and never compare notes.

Craig Tracey ·

When Gainsight and Salesforce disagree about the same customer

RevOps·Context·Data

When Gainsight and Salesforce disagree about the same customer

Why Salesforce and Gainsight customer health data disagree, when syncing destroys useful signal, and how to keep each value tied to its source.

Craig Tracey ·

Contracted revenue says one thing. Billing says another.

RevOps·Context·Data

Contracted revenue says one thing. Billing says another.

The CRM records what was sold. Stripe records what is being invoiced. When those diverge, the gap is usually a real event nobody logged.

Craig Tracey ·

Hallucination Is the Feature, Not the Bug

Enterprise AI·Context·Agents

Hallucination Is the Feature, Not the Bug

A talk on why agents need ontologies nails the diagnosis but stops short of the hard parts. This is exactly what we've been building.

Craig Tracey ·

Alex Karp Is Right About Where Enterprise AI Creates Value

Enterprise AI·Context·RevOps

Alex Karp Is Right About Where Enterprise AI Creates Value

Palantir's CEO says the winners in enterprise AI will own the application layer and the ontology underneath it. Here's why that is right, and what it takes to keep that layer current.

Craig Tracey ·

What Your CRM Can't Tell You About a Deal at Risk

RevOps·Context·Agents

What Your CRM Can't Tell You About a Deal at Risk

Your CRM tracks the deal. It cannot see the support tickets, the usage drop, or the AE who went quiet. Deal risk lives between your systems.

Craig Tracey ·

You Don't Need a Data Team to Get AI Working

AI·Context·Operations

You Don't Need a Data Team to Get AI Working

Most AI readiness advice says build a data team and document everything first. For a mid-sized company that is months of work before a single outcome.

Craig Tracey ·

Context Engineering vs Context Management: What's the Difference?

Context·Agents·AI

Context Engineering vs Context Management: What's the Difference?

Context engineering operates at the prompt layer. Context management is the infrastructure underneath. Mixing them up is why agent pilots fail.

Craig Tracey ·

Your operations run on tribal knowledge. AI will make that worse.

Operations·Enterprise AI·Context

Your operations run on tribal knowledge. AI will make that worse.

Every operations leader has tried to fix the opacity problem. AI agents make the cost of failure visible and immediate. Here is what changes now.

Craig Tracey ·

Governance Theater Won't Survive Agentic AI

AI Agents·Governance·Enterprise AI·Context

Governance Theater Won't Survive Agentic AI

Policies and approval workflows can't constrain agents that don't share your view of reality.

Craig Tracey ·

Context layer vs data catalog: what every AI initiative needs to know

Context·Enterprise AI·Data

Context layer vs data catalog: what every AI initiative needs to know

Data catalogs document assets. AI context layers connect live entities, relationships, and evidence. Compare their purpose, limits, and when to use each.

Craig Tracey ·

Levie Nailed the Job Description. He Left Out the Hard Part.

Agents·Context·AI

Levie Nailed the Job Description. He Left Out the Hard Part.

Aaron Levie nailed the job description. But the person he wants to hire will spend most of their time doing plumbing nobody planned for.

Craig Tracey ·

Revenue operations and account risk | SixDegree