Solution
For AI-enabled organizations
You’ve rolled out Copilot, Claude, and ChatGPT. Adoption is high; impact is uneven. The missing piece isn’t more AI — it’s the shared context that makes the AI you have actually useful.
Adoption is high, context is missing
In Parallel’s 2026 survey found 86% AI adoption among managers — but the value gap between daily and occasional users is wide, and most of it comes down to context. In Parallel supplies the organisational memory that turns a capable model into a useful colleague.
One layer, every tool
Rather than wiring context into each tool one integration at a time, In Parallel exposes the shared record through MCP — an open standard — so Claude, Copilot, ChatGPT, and Cursor all draw from the same source.
Govern what AI can see
AI-enabled doesn’t mean AI-exposed. Workspaces scope what each tool and agent can access, so shared context never becomes a leak.
FAQ
Common questions
- We already rolled out AI tools — what does In Parallel add?
- The shared context that makes them useful. In Parallel supplies the organisational memory that turns a capable model into a colleague that knows your business.
- Does it work with every AI tool?
- It exposes the shared record through MCP — an open standard — so Claude, Copilot, ChatGPT, and Cursor all draw from one source without bespoke integrations.
- How do we keep AI access governed?
- Workspaces scope what each tool and agent can access, so shared context never becomes a leak, and nothing is used to train models.
Start with your next meeting.
Bring your team in. Use every surface, including every other team's. No credit card. Notes is free for 20 days.
30-minute demo. We'll show you how meeting signals become a plan that maintains itself.