--- title: "In Parallel vs Microsoft Copilot — AI Over Your Files vs Live Cross-Tool Memory" description: "Compare In Parallel and Microsoft Copilot. Copilot reasons over your Microsoft 365 content. In Parallel builds a live, cross-tool memory of decisions and commitments and serves it to Copilot and every other AI tool over MCP." url: https://www.in-parallel.com/compare/copilot --- Compare to Microsoft Copilot logo # Microsoft Copilot Copilot is strong inside Microsoft 365 — it grounds answers in your files, email, and chats across the Microsoft Graph. In Parallel adds the layer Copilot does not: a structured, always-current memory of what was decided and committed, captured across every tool — not just the Microsoft ones. In short Microsoft Copilot suits organisations whose work lives almost entirely in Microsoft 365 and who want AI inside Word, Excel, Teams and Outlook. Copilot reasons over files and email as content, so teams using tools from several vendors should choose In Parallel for a structured record of decisions and commitments, served to Copilot and other AI tools over MCP. Updated 2 November 2026 Capability | In Parallel | Microsoft Copilot Grounding source | Decisions & commitments from every tool | Microsoft 365 content (Graph) Cross-vendor coverage | Tool-agnostic (Slack, Linear, Salesforce…) | Strongest within Microsoft 365 Structured org memory | Decisions, risks, commitments, open questions | Documents, mail, meetings as content Works in non-Microsoft AI | Yes — any MCP client | Centred on Copilot Workspace pages kept current | Updated after each meeting | Documents you update yourself Data residency | EU-hosted, never trains on your data | Per Microsoft enterprise terms ← ChatGPT Projects Glean → What are the key differences? ## From AI over your files to a live memory of what was decided. ### From the Microsoft Graph to every tool your teams use Copilot is at its best when your work lives in Microsoft 365. Most organisations also run Slack, Linear, Salesforce, Notion, and more. In Parallel captures context across all of them and makes it available to Copilot too — so the gaps outside the Microsoft estate stop being blind spots. ### From content retrieval to a structured record of decisions Copilot reasons over documents, email, and meetings as content. In Parallel extracts the structure — decisions, owners, commitments, risks, and open questions, each linked to its source meeting — so an answer about “what did we agree” comes from a record built for that question, not from re-reading files each time. ### From one assistant to context shared across AI tools In Parallel serves the same memory over MCP to Copilot, ChatGPT, Claude, Cursor, and beyond. Your organisational context is not trapped inside a single vendor’s assistant. ### When to choose Microsoft Copilot - Your work lives almost entirely in Microsoft 365 - You want AI embedded directly in Word, Excel, Teams, and Outlook - You are standardised on Microsoft and do not need cross-vendor context - Document and email reasoning is your primary need ### When to choose In Parallel - Your teams use tools from several vendors, not just Microsoft - You need a structured record of decisions and commitments, not just content search - The same context should reach Copilot and other AI tools alike - You want EU hosting and a record that stays current without manual upkeep ## Frequently asked questions ### Does In Parallel replace Microsoft Copilot? No. They are complementary. Copilot works inside Microsoft 365; In Parallel maintains a cross-tool memory of decisions and commitments and can serve it to Copilot over MCP, so Copilot answers from current organisational context — including the work that happens outside Microsoft. ### We are a Microsoft shop. Why add In Parallel? Even in a Microsoft-centric stack, decisions get made in meetings and in tools like Slack, Linear, or Salesforce. In Parallel captures that across the board and keeps it as a structured record, then makes it available to Copilot — covering the context Copilot alone does not reach. ### Can In Parallel feed context to Copilot? In Parallel publishes organisational memory over the Model Context Protocol. Any MCP-capable client can consume it; support depends on the MCP capabilities of your Copilot deployment. The same context is also available to ChatGPT, Claude, and Cursor. Price the knowledge, not the people. ## 41% of the work week goes to coordination. In Parallel gives it back. Plans Professional €29 per user / month 120 Knowledge Units per user a day. For teams under 50 users: meeting notes, chat, pages and workspaces. Business €69 per user / month 250 Knowledge Units per user a day. Adds sharing: give people access to a workspace, with set access rights for what they can see. Up to 5 app integrations. Automations when released. Enterprise Custom One annual price, invoiced in advance. From 50 users, everyone in the company on one contract: unlimited app integrations, SSO and a named contact. [Talk to sales →](https://www.in-parallel.com/demo) On request Custom Dedicated EU cloud, on-premises and professional services Shared EU cloud is standard and included. Onboarding, trainings and the named contact are always included. [Talk to sales →](https://www.in-parallel.com/demo) - Billed monthly at list price, cancel any month — or prepay a year and save 20%. - One plan for the whole company: moving up moves everyone. Every user who signs in has a seat, including clients added to a workspace; AI agents need none. - Reads from your own AI tools over MCP are free within fair use. When the pool runs out, 1,000 KU top-ups for €250 are added automatically, up to a cap your admin sets. [Get started](https://www.in-parallel.ai/) [Book a demo](https://www.in-parallel.com/demo) [See full pricing](https://www.in-parallel.com/pricing) ## Memory for Copilot — and every other AI. See how In Parallel gives Copilot current, cross-tool org context over MCP. 30-minute demo. [Book a demo](https://www.in-parallel.com/demo) [See all comparisons](https://www.in-parallel.com/compare)