Deal inspection
Which deals are at risk, and why?
Combine CRM stage, recent calls, stakeholder coverage, tickets, and product signals.
AI that understands your customers, pipeline, and revenue process.
Attive connects CRM, calls, tickets, product usage, docs, Slack, and warehouse data into a semantic GTM graph, so commercial teams can ask questions, inspect accounts, find risks, and turn recurring work into source-backed workflows.
Built for commercial teamsSource-backed answersGraph-grounded workflows
Trusted by GTM teams at
Your revenue team is making decisions with partial context.
The truth is there. It is just split across too many systems.
CRM has the fields
Stages, owners, contacts, and amounts rarely explain the full story behind a deal or account.
Calls have the why
Objections, competitors, blockers, and next steps sit inside transcripts that most teams do not inspect at scale.
Support has the risk
Tickets and cases often reveal renewal blockers before they show up in a forecast.
Slack has the latest context
Internal conversations contain decisions, exceptions, and handoff details that never make it back to the CRM.
The mechanism
Attive builds the GTM graph your AI needs.
Tool access is not enough. Attive maps scattered customer signals into business concepts your team already uses: accounts, opportunities, contacts, risks, competitors, renewals, usage, and workflows.
Where Attive sits
Not a generic chat. Not another dashboard. The intelligence layer between your GTM data and your team.
Attive is for commercial teams that need shared customer context, trusted answers, and repeatable workflows across many systems.
Horizontal AI
Great for personal productivity, writing, and general reasoning. It still needs every user to bring the business context.
AI + MCPs
Powerful tool access for technical users. It does not create shared GTM definitions, governance, or team workflows by itself.
BI
Strong for known metrics and dashboards. Weak when the question crosses calls, tickets, CRM, Slack, and docs.
Conversation intelligence
Great at capturing calls. But calls are only one signal inside the customer relationship.
Attive
Connects meaning across your GTM systems so the team gets trusted answers and repeatable revenue workflows.
Why not Claude plus MCPs?
MCPs give AI access. Attive gives AI operating context.
Connecting AI to tools is powerful for individuals. Rolling AI out to a full commercial team requires shared definitions, permissions, source coverage, repeatable workflows, and governance.
| Capability | Horizontal AI + MCPs | Attive |
|---|---|---|
| Data access | Calls each tool you connect, one at a time. | Maps every tool into a unified GTM graph the AI can reason across. |
| Business context | Treats records as raw rows; meaning lives in the user's head. | Models accounts, opportunities, people, risks, renewals, and workflows. |
| Trust & sources | Answers depend on what the user pasted or asked for. | Every answer cites the CRM fields, calls, tickets, and records behind it. |
| Team consistency | Each user crafts their own prompts and tool routing. | RevOps defines shared concepts once; the team asks in plain language. |
| Governance | Limited control over actions, sources, and audit. | Permission-aware sources, approved workflows, and source trails per answer. |
| Commercial rollout | Useful for power users; hard to standardize across the team. | Designed for sales, CS, support, RevOps, and leadership to work the same way. |
"Horizontal AI + MCPs" describes generic AI assistants with tool access via Model Context Protocol. Attive is purpose-built for revenue teams.
Recurring GTM work
The questions your team should not have to rebuild every week.
Attive turns repeated customer and pipeline work into source-backed workflows the whole team can reuse.
Meeting prep
What should I know before this account call?
Get blockers, open issues, recent activity, and suggested next steps in one brief.
Account intelligence
What changed in this customer relationship?
Summarize calls, tickets, usage, opportunities, documents, and handoff context.
Win/loss analysis
Why are deals being won or lost?
Trend objections, competitors, product gaps, segments, and deal outcomes with evidence.
Customer issue synthesis
Which customers are reporting the same problem?
Find recurring support and product themes across cases, tickets, transcripts, and accounts.
Revenue reporting
What changed this week?
Track active users, pipeline movement, deal health, account risk, and team activity.
Trust layer
Every answer should show its work.
Commercial teams make decisions that affect pipeline, renewals, customers, and revenue. Attive answers from your graph and shows the CRM fields, call snippets, tickets, usage signals, and records behind the conclusion.
Renewal call prep · Acme Co.
Today · 11:24
What risks should I cover before the renewal call?
Renewal risk is elevated. Executive engagement is strong, but usage dropped 18% in the last 14 days, two open support tickets remain unresolved, and the latest call mentioned budget pressure for next quarter.
4 sources
SalesforceRenewal opportunity · Stage 4 · Close 31 May
Gong call · 23 Apr"Budget review pushing renewal scope"
Zendesk2 open tickets · SSO + reporting export
Product usageActive users -18% week over week
Commercial rollout
From one-off AI questions to a shared GTM operating rhythm.
Attive helps RevOps and GTM leaders move from ad hoc AI usage to a repeatable system the whole commercial team can trust.
01
Connect sources
CRM, calls, tickets, usage, docs, Slack, warehouse.
02
Map GTM concepts
Accounts, opportunities, risks, renewals, workflows.
03
Ask questions
Plain language, source-backed answers.
04
Save repeat work
Turn answers into prompts, agents, and reports.
05
Deliver everywhere
In the app, Slack, or any MCP client.
Trusted by GTM teams
Built for teams whose customer context is too important to guess.
Revenue, RevOps, CS, support, and leadership teams use Attive to understand customers, inspect pipeline, and automate recurring commercial work.
FAQ
Frequently asked questions
Short answers on where Attive fits and how teams use it.
What is Attive?
Attive is a GTM intelligence layer for commercial teams. It connects CRM, calls, tickets, product usage, docs, Slack, and warehouse data into a semantic GTM graph so teams can ask questions, inspect accounts, find risks, and automate recurring work.
How is Attive different from Claude or ChatGPT with MCPs?
Horizontal AI plus MCPs gives a model access to tools. Attive gives the model operating context: shared GTM definitions, source grounding, permissions, reusable workflows, and a graph of how accounts, opportunities, calls, tickets, and usage relate.
What data sources does Attive connect to?
Attive can connect to systems like Salesforce, HubSpot, Gong, Slack, support tools, product usage data, documents, and data warehouses. The key is not just connecting sources, but mapping them into a shared GTM graph. See all integrations.
Does Attive replace our CRM, BI, or Gong?
No. Your CRM remains the system of record, BI remains useful for dashboards, and Gong remains a key source of call intelligence. Attive sits across those systems to answer messy, cross-source GTM questions and turn recurring work into workflows.
What can my team ask Attive?
Teams ask Attive questions like: Which deals are at risk? What should I know before this customer call? Why are we losing deals? Which customers raised this issue? What changed in usage this week? Build me a QBR from the latest account context.
How does Attive keep answers trustworthy?
Attive grounds answers in connected data and shows the sources behind the answer: CRM fields, call snippets, tickets, usage signals, documents, and other records. It is designed to expose what it used, not just produce a plausible answer.
Can Attive automate recurring workflows?
Yes. Attive starts with questions, but recurring work can become prompts, agents, Slack digests, reports, or scheduled workflows. The goal is to move from one-off AI questions to a repeatable GTM operating rhythm.
Can I use Attive in other AI assistants?
Yes. Attive supports MCP, so you can access your GTM graph from AI assistants like ChatGPT or Claude Cowork. That means you can ask source-backed questions about your customer data from the tools you already work in. Setup instructions are coming soon.
Can I use Attive in Slack?
YES — you can tag @attive and ask questions just like you do in the app.
Give your commercial team AI that understands the business.
Connect your GTM data, ground every answer in source context, and turn your team's repeated questions into workflows.