Industry

Financial services

Financial services runs on coordination under scrutiny — risk, compliance, product, and operations all moving in parallel, where every decision has to be auditable. In Parallel keeps that shared record current and traceable.

Coordination under regulatory scrutiny

In a regulated institution you have to show how a decision was reached. In Parallel records every decision and status with a trace back to the meeting behind it — evidence-backed by design, EU-hosted, with no model training on your data.

Across risk, compliance, product, and operations

The expensive failures live at the seams between functions. In Parallel keeps one shared record across them, surfaces cross-functional dependencies, and detects drift before a control gap or a deadline slips.

Make your AI stack useful without leaking

In Parallel feeds your AI tools live organisational context via MCP, scoped to workspaces so sensitive material — MNPI, customer data, model risk — stays contained.

FAQ

Common questions

Is In Parallel suitable for regulated financial institutions?
Yes — it is EU-hosted, workspace-scoped, and never trains on your data, and every decision and status traces back to the meeting behind it for an audit trail.
How does it handle sensitive or confidential discussions?
Access is scoped to workspaces, so material like MNPI, customer data, and model-risk discussions stays contained — an AI only ever sees what its user is allowed to see.
What does it help financial-services teams coordinate?
The work that crosses risk, compliance, product, and operations — keeping one shared record across them and flagging drift before a control gap or deadline slips.

Start with your next meeting.

Bring your team in. Use every surface, including every other team's. No credit card. Notes is free for 20 days.

30-minute demo. We'll show you how meeting signals become a plan that maintains itself.