For Sales, Product & Execs

Drive business outcomes with confident actions

Ask the "so what" question yourself, from Slack or Claude, and get an evidence-backed answer so you and your agent can take action.

Get a Demo See an evidence-backed answer

What you can do

From question to action, without the wait.

Multiplayer agent for the whole team

One agent everyone reaches from Slack, Claude Cowork, Codex, or the web. Share a thread, ask together, or fork it, and every follow-up runs on the same context.

Set up once by your data team. Runs in the cloud, even with your laptop closed.

Claude Cowork
Codex
Slack
Web

See collaboration features →

Q3 churn · shared thread

1 thread · 3 people · 3 toolsSame context

Your recommendation becomes everyone's definition

When the agent hits a gap, it drafts the fix in your chat. Teammates back it, your data team approves it, and every agent answers from it.

See Team Context Curation →

SignalPilot · Context Factory

Agent chatMarcus · RevOps

What was churn last quarter?

churn· not in your context yet

No churn definition yet, so I drafted one for your data team.

Add a churn definitionIn review

Churn, Q3: 4.1%from your contextevidence graph →

Data team reviewContext as code

Define churnIn review

semantic-models/customer.yml+4

Approve and merge

Approved and merged by Hannah, Data

Hand the next step to your other agents

Ask in Slack, Claude Cowork, or Codex. SignalPilot checks Salesforce, Tableau, and dbt, then hands the next step to your Salesforce agent, evidence attached.

See how it fits your workflow →

Claude Cowork · SignalPilot MCP app

Claude CoworkSam · CEO

Which Q3 deals slipped? Any recs?

Connecting to SignalPilot MCP appConnected to SignalPilot MCP app

7 deals slipped, $2.4M. Salesforce and Tableau agree.

Recommendation

Add an exec sponsor to the top 3 deals.

Send to Salesforce agent

3 tasks created in Salesforce

SignalPilot MCP appinside Claude Cowork

SignalPilotReady

Cloud sandboxidle

Salesforce

Tableau

dbt definitions

Dashboards that write their own commentary

Every Monday the metrics your team reviews are rebuilt, the commentary written, and the anomaly flagged, posted where the team reads.

See metric monitoring →

Monitor

Weekly revenue review

every Monday · 07:00 · #revenue-review

metricsnet revenue · refund rate · margin
definitionsagreed · 14
bandfrom 12 weeks of history

Runs

Aug 24
Aug 31
Sep 7
Sep 14

Mon 14 Sep · 07:00scheduled

✓Rebuild the viewnet revenue WTD $181,204 · +6% WoW
✓Write the commentarygrowth on mid-market volume; wholesale margin held
✓Flag the anomalyrefund rate 4.1% · above band 2.5–3.5% · driver: BW-1140 returns
✓Deliverposted to #revenue-review · evidence graph on every number

Next run Mon 21 Sep 07:00. A definition change reruns every monitor that uses it.

"You guys nailed it! This helps the execs go from a static dashboard to answering the 'so what' question in minutes, without adding to the backlog of our analytics engineers."
Head of Data & AI, 300-person enterprise

Your weekly review, with next steps, before the meeting.

Get a Demo Talk to Us

Open source · Apache 2.0 · GitHub · Slack