---
title: "The Context Layer for AI-Enabled Organisations | In Parallel"
description: "AI tools are everywhere; shared context is not. In Parallel is the context layer that gives every agent in your stack the organisational truth to do real work — governed by workspaces."
url: https://www.in-parallel.com/solutions/ai-enabled-organizations
---

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.

In short

Rolling out Copilot, Claude and ChatGPT does not give them your company’s context. In Parallel is the context layer that does: it captures the organisation’s decisions and commitments from meetings and exposes them over MCP, an open standard, so every tool reads from one source. Workspaces govern what each tool and agent can see.

Updated 22 October 2026

[Get started](https://www.in-parallel.ai/)

[Book a demo](https://www.in-parallel.com/demo)

## 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.

Keep exploring

[In Parallel MCP](https://www.in-parallel.com/mcp) | [Shared context vs siloed AI tools](https://www.in-parallel.com/compare/siloed-ai-tools) | [How to choose an AI context layer](https://www.in-parallel.com/guides/choose-ai-context-layer)

## 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.

[Get started](https://www.in-parallel.ai/)

[Book a demo](https://www.in-parallel.com/demo)

30-minute demo. We'll show you how meeting signals become a shared record of decisions, owners and risks.