Question 1

What is In Parallel?

Accepted Answer

In Parallel is the shared-context layer for modern work. It joins your meetings, captures every decision and commitment, and keeps your plans and documents up to date automatically — then gives every AI tool in your stack the same shared context via the Model Context Protocol (MCP), so your people and your agents act on the same truth.

Question 2

What does In Parallel do?

Accepted Answer

In Parallel turns meetings, threads, and email into one shared organisational record. An AI note-taker extracts nine signal types from every meeting — decisions, action items, risks, dependencies, escalations, opportunities, learnings, progress, and obstacles. Those signals keep a living execution plan current, surface drift before anyone notices, automate stakeholder reporting, and feed Claude, Copilot, and ChatGPT live business context via MCP.

Question 3

What is the coordination tax?

Accepted Answer

The coordination tax is the invisible work of chasing updates, reconciling versions, and re-explaining decisions. In Parallel's Coordination Tax Index 2026 — a survey of 247 managers across five countries — found managers lose 16.5 hours a week to coordination, about 41% of a 40-hour week, or roughly 760 hours and $64,600 per manager per year.

Question 4

What is an AI context layer (shared-context platform)?

Accepted Answer

An AI context layer is shared organisational memory that every AI tool can read. In Parallel captures context from your meetings and exposes it through MCP, so any connected AI tool — Claude, Copilot, ChatGPT, Cursor — works from your real, current business context instead of a blank slate.

Question 5

How does In Parallel work with Claude, Copilot, and ChatGPT?

Accepted Answer

Through the Model Context Protocol (MCP). In Parallel publishes your shared context as an MCP server, so AI tools draw on your structured meeting history, decisions, and live plan — governed by workspace boundaries so each tool only sees what it should.

Question 6

What is the best AI meeting tool alternative to Fireflies and Otter for teams?

Accepted Answer

Fireflies and Otter transcribe meetings. In Parallel goes further: it extracts structured signals, keeps a self-updating execution plan, detects drift, and feeds every AI tool shared context via MCP — capture plus coordination, not just transcripts.

Question 7

How much does In Parallel cost?

Accepted Answer

In Parallel is €69 per user per month for the full product, with volume and duration discounts down to €39 at scale. Notes is free for 20 days with no credit card. Diagnostics is a separate service line at €25,000 for the first run and €15,000 per quarter recurring.

Run the org on real data, not curated decks.

In Parallel listens where work happens — and keeps your documents up‑to‑date.

The first step towards true multiplayer AI — works with whatever tools you already use.

Always-up-to-date plan

Close the loop on commitments

Detect drift

EU-hosted. Enterprise-grade. Secure by default.

Cheaper than the coordination tax. 8 hours a week back per manager.

Clear work is kind, unclear work is unkind (and ineffective).