Pipeline agents you can trust.
Gartner expects agents to outnumber sellers ten to one by 2028. The ones that help have owners, numbers, and a place on the team. SuperOrgs is where that happens.
Live activity
Live
Pipeline run failed: stale token
2.1s · $0.03Pulled 214 stale CRM rows 0.8s
Salesforce update 401 · token expired
Orion Stale Salesforce token. Reconnect and this run replays clean.
Fin resolved ticket #4821
now$0.04
Triage routed 12 new tickets
2m$0.11
Scout enriched 40 accounts
5m$0.09Orion Fin handled 84 tickets today at $3.20 total, about half your support volume.
Live activity
Every run, as it happens
Sound familiar?
GTM agent sprawl
Enrichment here, outreach there, forecasting somewhere else. More digital activity, unclear seller impact.
No line to pipeline
Agents generate motion. Connecting that motion to revenue takes a data team you do not have.
Sellers do not adopt
Workflows get built and abandoned. Building is 40% of the job; adoption is the other 60%.
Spend against savings, per pod.
Each GTM pod shows what its agents cost, what the workflow cost before, and who owns the outcome.
- Live runs from every pipeline agent
- Real cost per run, not estimates
- Savings measured against the before
- A named owner for every agent
Cost intelligence
Real metered run cost
From sprawl to system in GTM.
HubSpot runs pods across go-to-market: an AI-proficient engineer paired with a domain expert, shipping working workflows in tight windows. The pod is how GTM gets AI without the sprawl.
Support Pod
2 slots free
Fin, Triage, Scout
Agentic Pods
Spend, savings, and capacity in dates
10 to 1
Gartner expects AI agents to outnumber sellers ten to one by 2028, yet fewer than 40% of sellers are expected to say agents improved their productivity. Ownership is the difference.
Source: Gartner, July 2026Ask this on day one.
These work inside SuperOrgs through Orion, or from Claude, ChatGPT, and Cursor over MCP.
See your whole workforce.
Humans and agents on one org chart, organized into pods that own real work.