The platform

Context governance for your GTM stack

Stride finds the conflicting versions of the truth you already have, reconciles them into one, and governs them, so your whole team's AI works from one playbook instead of five.

Who it's for

RevOps & GTM Ops
The owner of cross-functional alignment, and the home of Context Ops. Feels the shadow-ICP problem most acutely.
CROs & CMOs
The economic buyer. Stop paying for misaligned pipeline caused by five teams running five go-to-markets. You're the one who answers for the number when it misses.
Security & IT
Co-signers, not blockers. Stride's review and audit machinery and per-tenant isolation pass the questionnaire.

See your shadow ICPs in one screen

The Conflict Report is the moment the problem becomes undeniable. Stride lines up every version of your ICP side by side and highlights exactly where they disagree, so you can reconcile them instead of letting AI amplify all of them at once.

app.usestride.ai/conflicts

Conflict Report

You have 3 ICPs.
Here's where they disagree.

Company sizeConflict
Marketing ICP (Notion)
50-200 employees
Sales Playbook (Gdoc)
1,000+ (enterprise)
SDR GPT prompt
Mid-market
BuyerConflict
Marketing ICP (Notion)
Head of Demand Gen
Sales Playbook (Gdoc)
VP Sales
SDR GPT prompt
RevOps lead
IndustryAligned
Marketing ICP (Notion)
B2B SaaS
Sales Playbook (Gdoc)
B2B SaaS
SDR GPT prompt
B2B SaaS
Deal sizeConflict
Marketing ICP (Notion)
$12k ACV
Sales Playbook (Gdoc)
$80k+ ACV
SDR GPT prompt
$25k ACV

3 conflicts across 4 attributes

Reconcile

Find → Normalize → Govern → Feed

How the platform works

01

Find the conflicts

You can't govern what you can't see.

Point Stride at the context you already have: Notion, Google Docs, the rest of the stack. It scans across sources and surfaces where your “single” source of truth actually splits: three ICPs, four brand voices, two pricing stories. The Conflict Report renders the disagreement as a side-by-side grid, attribute by attribute.

  • Cross-document conflict scan
  • Attribute-level disagreement grid
  • Ranked by blast radius
02

Normalize to one truth

Collapse the five versions into one.

Reconcile the competing versions into a single canonical source the team agrees on. Stride proposes the merge; the owner decides. The output isn't a sixth opinion. It's the one definition everything downstream now inherits.

  • Proposed reconciliations
  • Owner-approved canonical source
  • Before/after diffs
03

Govern, so it stays true

Alignment that doesn't quietly rot.

Every change is proposed, reviewed, and approved through Stride's own review workflow. Versions are recorded; the audit log shows who decided what and when. The rules of the game, made explicit, so the moment someone edits a doc, alignment doesn't silently break.

  • Review & approval matrix
  • Full version history
  • Immutable audit log
04

Feed every AI

One trusted truth, everywhere.

Stride serves your governed source of truth to ChatGPT, Claude, and your agents over the Model Context Protocol. Push verified context in, pull it out, no rip-and-replace. Your whole team's AI finally works from one playbook instead of five.

  • MCP-native, push and pull
  • Works with ChatGPT, Claude, agents
  • No stack migration

Platform FAQ

What is Context Ops?
Context Ops is the operational discipline of governing the context that feeds your AI, keeping ICP, messaging, and positioning reconciled and version-controlled. It sits beside RevOps and DevOps, and is the practice Stride is built to support.
Where does Stride get my context from?
Stride ingests the context you already have (starting with Notion and documents) and structures it into governed, versioned records. There's no need to rewrite anything; Stride works from your existing sources.
Is my data shared with other customers?
No. Every customer org gets its own dedicated database. The database boundary is the isolation (there are no shared rows across tenants), which makes export, deletion, and data residency per customer straightforward.
What does the integration look like?
Stride is MCP-native. Once your source of truth is governed, you connect it to ChatGPT, Claude, and your agents over the Model Context Protocol, pushing verified context in and pulling it out without replacing your existing tools.

Stop running five go-to-markets.
Govern the one.