An agent that manages deals, researches prospects, and keeps your CRM up to date.
Here's your Q1 pipeline snapshot as of today (March 11):
Q1 Pipeline Summary
Total Pipeline: $557,700 | Weighted: $321,185
⚠️ At-Risk Deals — Watch List
Vantage Capital ($210K) — Still in Discovery with only 17 days to close. This is your biggest deal and lowest probability this quarter. No activity logged in 8 days.
Torchlight Systems ($98.5K) — Proposal sent 12 days ago with no response. Deal has stalled — worth a follow-up nudge before end of week.
Oaktree Retail ($31.2K) — Demo scheduled but close date is March 31 with a 40% probability. Tight runway if the demo hasn't happened yet.
Castleford renewal ($76K) looks solid at 90% — that one should close cleanly by March 14.
Want me to draft follow-up emails for Vantage or Torchlight, or dig into activity history on any of these?
Q1 Pipeline Coverage
$2.4M across 38 active deals
Discovery
$540K
Solution Fit
$680K
Security
$430K
Procurement
$390K
Verbal
$360K
Understanding a task is the only prerequisite to automating it. Let your team who already understand the problem build the necessary agents. No learning curve involved.
Agents sign in with your saved logins, browse from trusted connections, hand off to you when a site needs it, and record every session.
Agents open a real browser and click, type, upload, and pull data from any site your team already uses, with or without an API.
Agents browse from trusted connections in the region you choose and clear CAPTCHAs on their own.
Save a login once or connect 1Password, and agents sign in without ever seeing the credential.
When a site needs you, agents hand you the live browser to sign in or approve, then pick up where you left off.
Every session is recorded step by step, with passwords masked and every login, takeover, and handoff in your audit log.
#data-analysis
@Databot Compare this month's sales to the same month last year
@Databot Who are the top 3 most active users at Mostco?
@Databot Where are we losing people in the onboarding flow?
@Databot Compare this month's sales to the same month last year
@Databot Who are the top 3 most active users at Mostco?
@Databot Where are we losing people in the onboarding flow?
Sourcing video producers (SF, B2B)
InboxDone! Drafts for Tess and Maya are in your inbox, personalized to each.
#data-analysis
@Databot Compare this month's sales to the same month last year
@Databot Who are the top 3 most active users at Mostco?
@Databot Where are we losing people in the onboarding flow?
@Databot Compare this month's sales to the same month last year
@Databot Who are the top 3 most active users at Mostco?
@Databot Where are we losing people in the onboarding flow?
Sourcing video producers (SF, B2B)
InboxDone! Drafts for Tess and Maya are in your inbox, personalized to each.
Built by one, used by all One teammate builds an agent and the whole org puts it to work, each in their own chats.
Decide who can do what Let some people edit, some view, and some just use the agent, for one person, a team, or the whole company.
Smarter with every run Each agent reviews its own runs, spots what slowed down or cost too much, and fixes it for next time.
Always working, even while you’re away A meeting ends, a lead fills out a form, an issue gets filed. Agents pick it up the moment it happens, before anyone asks.
Held to your standard Every run is scored against the rules you set. When an agent quotes pricing it shouldn’t or guesses instead of escalating, you hear about it first.
Knowledge that compounds Every tool you connect becomes part of a centralized, always up-to-date brain agents and humans can use.
See where credits go, what agents are asked to do, and which skills get used, across every team.
Which models cost the most to run?
Which agents spend the most credits?
Which agents need attention right now?
What do people ask agents to do?
How does work reach your agents?
Which skills get used?
Who is building with agents?
Track organization-wide credit usage in real time. Implement budget and quota controls to avoid surprises.
Capture detailed audit trails for actions across the organization to understand where data is flowing.
Deploy Gumloop inside your own AWS, Azure, or Google Cloud environment to keep data in your network.
Roles and permissions. Manage reusable roles, credentials, and secrets with scoped access.
SAML SSO and SCIM. Securely streamline identity and access management.
AI model restrictions. Control which AI models teams can use.
SOC 2 Type II. Independently audited and compliant.
GDPR. Zero Data Retention agreements for third-party models.
Credential management. Store secrets in one place and scope who can use them.
App policies and guardrails. Write plain English rules that block, tag, or log actions before they run.
MCP client and server tracking. Trace every tool call through one logging and analytics layer.
Reporting and analytics. See AI adoption, usage, and outcomes for every team in one place.
Spend caps and approvals. Cap spend by agent, team, or org, and approve costly actions.
Gumloop's Model Router matches every task to the model it needs, so routine work runs cheap and hard work gets the best intelligence available.
Gusto powers AI agents across its go-to-market engine with Gumloop, driving revenue, reducing churn, and elevating rep performance.
“Gumloop has been critical in helping all teams at Instacart — including those without technical skills — adopt AI and automate their workflows, which has greatly improved our operational efficiency.”
“Gumloop turned our sales and marketing teams into builders, and saved us thousands of hours of manual work.”
“The partnership review agent cuts prep time from 30–45 minutes per customer to under five minutes, and it results in a 31% higher win rate and 44% larger deals.”
Create AI agents that understand your business, work across your tools, and take work from idea to outcome.
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