Workspace

Meeting orchestration

Turn Zoom or Teams meetings into structured follow-ups, CRM actions, product intake, asset requests, and cross-functional coordination with visible agent routing and approval control.

SSO + SCIM readyTenant-safe routing
Signals ingesting
Agents reasoning
Actions queued

Motion View

How the meeting workflow moves through the organization

This is the cross-team operating map for a customer conversation: one intake, multiple specialist actions, and a controlled path to execution.

01

Capture transcript and participants

Live

The meeting becomes structured context instead of a note buried in someone’s inbox.

02

Extract business and product signals

Live

Revenue, roadmap, advocacy, risk, and design/build requests are detected from one source.

03

Route work to specialist agents

Queued

Follow-ups, CRM updates, feature demand, design tasks, and engineering work are drafted in parallel.

04

Execute or pause for approvals

Watching

External actions and high-risk changes route to humans, while safe actions continue automatically.

Workflow Graph

What happens after a customer meeting

This is the transcript-first operating flow: ingest the meeting, understand the business signal, route to the right agents, draft the work, and execute through approvals or policy-driven autonomy.

01

Stage

Meeting captured

Zoom or Teams recording, transcript, attendees, and chat context are ingested.

02

Stage

Signals extracted

The system detects asks, blockers, buying intent, commitments, competitors, and launch interest.

03

Stage

Agent routing

An orchestrator chooses the right specialist agents based on the meeting outcome.

04

Stage

Action plan drafted

Follow-up emails, CRM updates, tickets, assets, and internal reach-outs are prepared with rationale.

05

Stage

Approval or autonomy

Users approve actions individually, by policy tier, or allow safe actions to execute automatically.

06

Stage

Execution and tracking

Tasks are posted, opportunities updated, tickets opened, assets requested, and outcomes tracked.

Post-Meeting Actions

What the system can draft or execute

Customer follow-up email

Why: The customer requested pricing collateral and an ROI model for the next call.

Output

Draft email with recipients, requested resources, and meeting recap.

Opportunity update

Why: The meeting showed expansion intent, timeline movement, and an identified economic buyer.

Output

CRM stage update, next steps, close-date confidence, and action tasks.

Product feature request

Why: The customer said rollout would expand if the platform supported feature X.

Output

PFR with transcript evidence, account count, and revenue influence.

Internal reach-outs

Why: The account needs input from solutions engineering, security, and another project owner.

Output

Draft Slack or email asks to internal stakeholders with context and requested help.

Launch asset request

Why: The next customer call needs a tailored overview deck and deep dive material.

Output

Asset request with owner, due date, source materials, and priority.

Ticket or GitHub issue

Why: Validated demand is strong enough to move into product or engineering intake.

Output

Jira/GitHub issue with business rationale and structured requirements.

Agent Routing

Which agents get called and why

Orchestrator Agent

Chooses workflow branches, selects specialists, and enforces budget and policy.

Model strategy: Use a small reasoning model first; escalate only when branching is ambiguous.

Writer Agent

Drafts emails, recaps, customer resources, and executive summaries.

Model strategy: Prefer a lower-cost writing model for standard recaps and templates.

Revenue Agent

Handles opportunity updates, task creation, buying-signal scoring, and follow-up sequencing.

Model strategy: Use structured extraction plus lightweight reasoning for CRM changes.

Product Agent

Creates PFRs, clusters demand, and drafts product briefs or tickets.

Model strategy: Use mid-tier synthesis only when multiple customer signals must be merged.

Creative Agent

Generates decks, calculators, docs, and routes video work to the right toolchain.

Model strategy: Use task-specific generation tools and avoid large-model use for simple formatting.

Autonomy Modes

How users stay in control

Review every action

Best for new tenants or highly regulated teams. Every side effect pauses for approval.

Auto-run safe tasks

Internal notes, summaries, and asset requests execute automatically while external writes require review.

Policy-driven autonomy

Trusted workflows can execute automatically based on tenant rules, risk tiers, and role permissions.