sixdegree

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

Introducing SixDegree: Live Operational State for the Agentic Enterprise

Featured

AI·MCP·Platform Engineering

Introducing SixDegree: Live Operational State for the Agentic Enterprise

Introducing SixDegree: live operational state for the agentic enterprise, auto-derived from your systems of record and served to AI agents via MCP.

Craig Tracey ·

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 ·

The Application Layer and Ontology Are the Real Keys to Enterprise AI

Enterprise AI·Context·RevOps

The Application Layer and Ontology Are the Real Keys to Enterprise AI

Palantir's CEO called out the dirty secret of today's AI hype. Here's why enterprises need a live operational graph, not just bigger models.

Craig Tracey ·

Stop Letting Your Agent Thrash

AI·Agents·AI Harness

Stop Letting Your Agent Thrash

A trivial question took our agent two and a half minutes. The model was fine, the harness let it thrash. Bounded loops beat a bigger model every time.

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

Compare data catalogs with AI context layers: what each contains, how each stays current, and which one agents need for operational answers.

Craig Tracey ·

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