In Parallel Connect Early access
Notes for board packs
Via MCP, every AI tool in your organisation draws from structured meeting context. Ask Claude about a decision from three weeks ago. It knows. Ask Copilot for a board pack. It writes itself.
Included with every seat · 10 meetings free, no credit card
What Connect produces
Every meeting becomes
execution-ready intelligence.
Your meeting summary is ready.
Product & go-to-market weekly
Monday, 30 March · 10:00 · sarah@company.com, marcus@company.com, elena@company.com
Summary
- •Platform migration timeline approved for Q3 with phased rollout starting August
- •Enterprise pricing restructure discussed — consensus on value-based tiers but final numbers TBD
- •Customer onboarding bottleneck identified — current process takes 3× longer than target
Action Items
→
→
Every action button generates a complete first draft using full meeting context — ready for review in seconds, not hours.
The problem
Your AI is smart. But it has no memory.
Every AI tool starts every conversation from zero. It doesn’t know what your team decided last Tuesday, what risks were flagged in the steering committee, or why the product roadmap changed. You end up re-explaining everything — or worse, your AI confidently makes things up.
of meeting context never reaches your AI tools
of AI tools know what was decided in yesterday’s meeting
the value of AI when it has organisational context
Not just a transcript
Agent-optimised context.
Built for machines, not humans.
Most note-takers dump a raw transcript into your AI’s context window. That’s like handing someone a filing cabinet and asking for a board pack. Connect delivers context that’s structured for how AI agents actually work — segmented, attributed, typed, and layered.
Semantic segmentation
Every meeting is broken into topic segments with boundaries, not dumped as a single wall of text. Your AI retrieves the segment about pricing — not the hour-long meeting that mentioned it once.
Speaker diarization & roles
Every utterance is attributed to a speaker with their organisational role. Your AI knows the CFO raised the concern, not "someone in the meeting."
Pyramid-structured summaries
Context is delivered in layers: headline decision first, supporting rationale second, full transcript segment on demand. Your AI gets exactly the depth it needs.
9 typed signal extraction
Decisions, actions, risks, dependencies, escalations, opportunities, learnings, progress, obstacles — each typed, timestamped, and linked to people and projects.
Cross-meeting threading
Signals are linked across meetings. A decision made in Monday's steering committee is connected to the action item discussed in Wednesday's sprint review.
Temporal awareness
Every signal carries a timestamp and a "freshness" score. Your AI distinguishes between what was decided today and what was superseded last quarter.
Zero context contamination
Workspaces prevent your AI
from knowing too much.
The biggest risk of giving AI organisational context isn’t too little — it’s too much. When a junior engineer’s Copilot can see board-level M&A discussions, you have a context contamination problem. Workspaces solve this by design.
Workspace isolation
Each workspace is a hard boundary. The "Board" workspace and the "Product Team" workspace share zero context unless explicitly linked. Your AI in one workspace cannot see data from another.
Permission-scoped queries
When Claude or Copilot queries Connect, it only receives signals from workspaces the requesting user has access to. Different users, different context — automatically.
No cross-tenant leakage
Multi-tenant by architecture, not by policy. Client A's meeting context never touches Client B's inference path. Even within one organisation, workspace boundaries are absolute.
Audit every query
Full log of every context retrieval: who asked, which AI tool, which workspace, which signals were returned. Your compliance team sees everything.
Example: same organisation, different context
Board workspace
M&A discussions, investor updates, compensation reviews, strategic pivots
Visible to: CEO, CFO, Board members
Product workspace
Sprint reviews, architecture decisions, roadmap trade-offs, bug triage
Visible to: VP Product, Engineering, Design
Sales workspace
Client calls, pipeline reviews, competitive intelligence, deal negotiations
Visible to: CRO, AEs, Sales Ops
Claude in the Product workspace sees sprint decisions. It does not see board M&A discussions or client deal terms.
How it works
Meetings → Structured context → Every AI tool.
Notes captures signals
The free AI note-taker joins every meeting silently. It extracts 9 structured signal types — decisions, actions, risks, dependencies, and more.
Workspaces organise context
Signals flow into governed workspaces — team and project boundaries that control who (and which AI tools) can access what context.
Connect delivers to AI
Via MCP, any AI tool in your stack queries this context. Claude, Copilot, ChatGPT — they all draw from the same source of truth, respecting workspace permissions.
Platform-agnostic
Works with the AI tools you already use.
Any tool that supports MCP gets instant access to your organisation’s meeting context. No custom integrations. No vendor lock-in.
Claude
Draft board packs, strategy memos, and stakeholder updates from meeting context.
Cursor
Build features informed by what stakeholders actually asked for, not what you remember.
ChatGPT
Ask questions about project status, open risks, and team commitments across workspaces.
Windsurf
Pair-program with an AI that knows the product roadmap and technical decisions.
Perplexity
Research competitors, markets, and trends with your organisation’s meeting intelligence as grounding context.
What becomes possible
When AI knows what your team knows.
Board pack generation
Ask Claude to write a board update. It draws from every leadership meeting, every status review, every risk flagged across the quarter. No prompting gymnastics required.
Code with context
Ask Copilot why a feature was scoped a certain way. It finds the product meeting where the decision was made, the constraints discussed, and the trade-offs accepted.
Client briefings
Ask your AI to prepare for a client call. It pulls every mention of that client across all meetings — commitments made, issues raised, timeline changes discussed.
Onboarding acceleration
New team member asks "why do we do X this way?" Your AI finds the meeting where the decision was made, the alternatives considered, and the rationale — in seconds.
One workspace, many tools
The same context powers
every tool in your stack.
A workspace isn’t just where meeting signals live — it’s the shared context layer for everything your team uses. The same workspace that powers Claude also feeds your PM tool, your CRM, your OKR tracker, and your Living Plan.
Product Team Workspace
Meetings → Signals → Shared context
AI tools
Claude, Copilot, ChatGPT query workspace signals via MCP
PM tools
Jira, Linear, Asana receive action items and blockers
CRM & OKRs
Salesforce, HubSpot, Lattice get progress and commitments
Living Plan
Auto-updating execution plan built from workspace signals
All tools draw from the same governed context. Change a workspace permission, and every integration respects it instantly.
Write-back, not just read
Integrations aren’t one-directional. When Jira marks a task complete, that signal flows back into the workspace — and every AI tool sees it immediately.
One permission model
You don’t manage permissions per tool. Set workspace access once, and Claude, Copilot, Jira, and your Living Plan all respect the same boundaries.
Cross-workspace intelligence
With the right permissions, Diagnostics can analyse signals across multiple workspaces — surfacing org-wide patterns without exposing raw data.
Context becomes execution
Connect feeds the Living Plan.
Meeting signals don’t just power AI chat. They feed the Living Plan — an execution plan that updates itself after every meeting. Priorities shift, dependencies resolve, new risks emerge — and the plan reflects reality, not what someone remembered to type into a spreadsheet.
The same workspace context that makes Claude smarter makes your execution plan self-maintaining.
Explore the Living PlanLiving Plan · auto-updated
Priority recalculated
API migration moved to P1 after Tuesday’s steering committee flagged a dependency
New risk surfaced
Vendor contract renewal deadline mentioned in Wednesday’s ops review — added to risk register
Commitment tracked
VP Engineering committed to security audit completion by March 15 — stalled commitment alert at day 10
Drift detected
Scope discussed in sprint planning diverges from what was agreed in the roadmap review — flagged
All signals extracted from meetings automatically. No manual entry.
Included with every seat
No extra cost. Part of the Living Plan.
Connect is included with every In Parallel seat. Notes, Connect, and the Living Plan — all in one price.
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