Solution
For AI-enabled organisations
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. From €29 per user per month, billed monthly, no commitment.
30-minute demo. We'll show you how meeting signals become a plan that maintains itself.