Use case · Consulting
Every consultant on the engagement remembers everything.
Client context lives in the heads of whoever was in the room. In Parallel captures it once — from the workshop, the steerco, the Teams thread — and makes it the shared memory the whole team and their AI tools work from.
The problem
Where engagements leak margin
01
The partner sells the work. The manager runs it. The analyst builds the deck. Each re-explains the client to the next — and to their own AI, separately.
02
Notes live in five notebooks and three notetaker transcripts nobody reads twice. The decision from week two is rediscovered in week nine.
03
A new consultant joins mid-engagement and spends a week reading before they can contribute.
04
Client-confidential material cannot go into a personal ChatGPT memory — so people either break policy or work without context.
How it works with In Parallel
One engagement, one memory
01
Capture
In Parallel joins the client workshops and internal syncs, reads the engagement Slack or Teams channel and the inbox. Nobody files anything.
02
Structure
Out come the decisions, commitments, risks, dependencies and learnings, structured as they are captured.
03
Serve
The engagement workspace publishes as an MCP endpoint. Every consultant’s Claude, Copilot or ChatGPT reads the same current record, scoped to their role on the engagement.
In practice
What this looks like on a Tuesday
- Claude
The manager opens Claude and asks:
What did the client’s CFO push back on in the last two steercos, and what did we commit to?
Answered from the engagement record.
- Copilot
The analyst drafting the interim report prompts Copilot with the engagement memory attached. It already knows the scope change from week four.
-
In Parallel
A consultant rolling on gets months of engagement context in a single briefing instead of a week of reading.
-
In Parallel
The partner preparing the renewal conversation can see every open commitment and unresolved risk before the call.
The objection
Why not just a notetaker or a shared folder?
Notetakers give you the transcript. A transcript records what was said, not what was agreed. Folders keep documents that go stale the day after they are written. In Parallel keeps the context inside the conversations, current on its own, and puts it where the team’s AI already is. Client data stays EU-hosted, never trains a model, and is visible only to people on the engagement.
Proof
Re-explaining context (Coordination Tax Index 2026) — on a consulting team that is billable time.
Handoffs that carry the engagement context with them.
Account handoffs →Start with your next client workshop.
The full product from €29 per user per month — billed monthly, no commitment.
More use cases
-
Use case · Sales ↔ Product ↔ Customer Success
What sales promised, product hears, and CS never has to ask. → -
Use case · Engineering
Product work with the “why” attached. → -
Use case · Communications & marketing agencies
The client said it once. The whole agency heard it. →