Revenue context
Give sellers and agents the same account, deal, and conversation context.
- CRM
- Conversation Intelligence
- Team Messaging
- Meetings & Calendar
GTM
Turn Your GTM Motion Into an AI-Native Revenue Engine
Production-grade AI agents integrate seamlessly with your CRM, customer conversations, and business knowledge to help your team identify high-value opportunities, prioritize the right accounts, prepare for critical meetings, and accelerate deals.
Production-grade · Human-controlled · Built on your existing stack
One intelligence layer across your GTM stack
Shared context for every agent, seller, and revenue workflow.
Demand context
Spot relevant intent across leads, campaigns, and account activity.
- Lead Enrichment
- Intent Signals
- Website Forms
- Marketing Automation
- Campaign Analytics
Knowledge context
Ground customer-facing work in approved knowledge.
- Product Knowledge
- Brand & Content Library
- Sales Methodology
- Competitive Intelligence
- Contract Repository
- Public & Web Sources
From Signal to Revenue Action
AI that helps your team know where to focus, what matters now, and what to do next.
Pipeline Creation
Identify the right accounts, understand why they matter now, map the buying committee, and prepare personalized engagement.
- Identify accounts that fit your criteria
- Understand relevant intent and business signals
- Map the buying committee
- Prepare personalized outreach
Seller Execution
Give every seller the right account, deal, meeting, and follow-up context at the moment they need it.
- Bring account and opportunity context together
- Prepare for important conversations
- Turn meeting transcripts into commitments
- Draft clear follow-up and CRM suggestions
Deal Intelligence
Surface risks, stalled opportunities, competitive context, decision gaps, and next-best actions.
- Review opportunity history and activity
- Surface risks and decision gaps
- Add deal-specific competitive context
- Prepare relevant next actions
Content & Materials
Create account-specific outreach, one-pagers, executive briefs, ROI drafts, proposals, and thought leadership.
- Use approved product and brand context
- Prepare account-specific seller materials
- Draft proposals within approved commercial rules
GTM Knowledge
Turn customer conversations, objections, successful calls, and top-performer practices into reusable commercial intelligence.
- Capture recurring questions and objections
- Review useful field knowledge updates
- Practice with account and persona scenarios
Leadership Visibility
Give GTM leaders a clearer operating view across pipeline, activity, risk, priorities, and execution.
- Bring pipeline and activity context into one view
- Review risks, priorities, and workflow activity
- See the evidence behind recommended actions
Representative workflow
Pipeline Creation
- Identify accounts that fit your criteria
- Understand relevant intent and business signals
- Map the buying committee
- Prepare personalized outreach
The GTM operating layer
See how your GTM agents work together.
Shared context connects the work. Your team sets the rules and decides where review is needed.
Connected Systems / Integrations
External context
Revenue
- CRM
- Conversation Intelligence
- Team Messaging
- Meetings & Calendar
Demand
- Lead Enrichment
- Intent Signals
- Website Forms
- Marketing Automation
- Campaign Analytics
Knowledge
- Product Knowledge
- Brand & Content Library
- Sales Methodology
- Competitive Intelligence
- Contract Repository
- Public & Web Sources
Representative examples we build for go-to-market teams
Core Agent Architecture
A connected operating layer across your entire GTM motion.
Pipeline & Account Intelligence Agents
1
Intent & Account Prioritization Agent
Ranks accounts by fit, intent, and signals.
2
Account Intelligence Agent
Builds briefs and opportunity insights.
3
Buying Committee & Persona Agent
Maps stakeholders, priorities, pain points.
4
AI BDR Agent
Supports outreach, qualification, routing.
Seller & Deal Execution Agents
5
GTM Mentor
Daily briefs on pipeline, risks, and actions.
6
Call Prep Agent
Account briefs and prompts for seller calls.
7
Customer Follow-Up Agent
Turns calls into follow-ups and CRM tasks.
8
Competitive Intelligence Agent
Deal positioning, proof, and responses.
9
Deal Materials Agent
Sales briefs, ROI drafts, and materials.
10
Proposal Agent
Drafts proposals under approved rules.
Learning & Enablement Agents
11
Knowledge Update Agent
Turns field insights into knowledge updates.
12
AI Sales Simulator
Practice sales calls by account and persona.
13
Quality & Brand Evaluation Agent
Reviews outputs for brand, accuracy, policy.
14
Feedback & Learning Agent
Uses feedback to improve the governed system.
Shared GTM Platform
Workflow orchestration
Coordinates agents, sequences, state, exceptions, and actions.
Shared business context
Makes account, deal, customer, product, and market context available across workflows.
Prompting & reasoning
Applies approved logic, methodologies, commercial rules, and decision criteria.
Testing & QA
Evaluates accuracy, relevance, completeness, usefulness, and brand alignment.
Human review
Defines where people approve, edit, override, or make the final decision.
Rollout controls
Controls permissions, automation levels, write-back, quality thresholds, and expansion.
Actions can run automatically, request review, or pause for an exception based on policy and available evidence.
What each agent does14 full descriptions
Pipeline & Account Intelligence Agents4 agents
- 1
Intent & Account Prioritization Agent
Ranks accounts using ICP fit, CRM history, engagement, intent signals, enrichment, and business rules.
- 2
Account Intelligence Agent
Builds an evidence-backed account brief covering priorities, change signals, relevant business context, and opportunity hypotheses.
- 3
Buying Committee & Persona Agent
Maps the relevant stakeholders, priorities, influence paths, likely pain points, and conversation angles.
- 4
AI BDR Agent
Turns account intelligence into personalized outreach, qualification, routing, follow-up, and meeting workflows.
Seller & Deal Execution Agents6 agents
- 5
GTM Mentor
Creates a daily AI briefing across pipeline, accounts, meetings, follow-ups, buying signals, risks, and next-best actions.
- 6
Call Prep Agent
Prepares sellers with account context, opportunity history, stakeholder intelligence, discovery questions, and deal gaps before critical conversations.
- 7
Customer Follow-Up Agent
Turns meeting transcripts into commitments, action items, follow-up drafts, CRM suggestions, and clear next steps.
- 8
Competitive Intelligence Agent
Surfaces deal-specific competitive positioning, objections, proof points, and recommended responses.
- 9
Deal Materials Agent
Creates executive briefs, one-pagers, ROI drafts, technical materials, and account-specific sales assets.
- 10
Proposal Agent
Drafts policy-compliant proposals using approved commercial rules, customer context, and previous conversations.
Learning & Enablement Agents4 agents
- 11
Knowledge Update Agent
Turns recurring objections, technical questions, customer language, and field insights into reviewed updates to the GTM knowledge base.
- 12
AI Sales Simulator
Creates account- and persona-specific practice conversations using approved methodologies, real objections, and sales scenarios.
- 13
Quality & Brand Evaluation Agent
Reviews customer-facing outputs for grounding, relevance, product accuracy, brand alignment, privacy, and policy compliance.
- 14
Feedback & Learning Agent
Captures what was accepted, edited, rejected, sent, answered, converted, or progressed so the system can improve under governed rules.
Primary Users & Outcomes
Representative GTM workflows
Users
- GTM Leadership
- Account Executives
- Business Development Teams
- Marketing
- RevOps
- Customer Success
- Partner Teams
Outcomes
- Stronger pipeline coverage
- Faster execution
- Better preparation
- More consistent execution
- Higher commercial capacity
- Continuous GTM learning
One GTM Command Center
Give every seller one clear view of what matters now.
Instead of switching between CRM, intent tools, email, calls, enrichment, content, and internal knowledge, the GTM Command Center brings relevant context and actions into one operating view.
GTM workspace
Shared contextDecision view
Context before the next step
Priority accounts
Where should I focus?
Why now
What changed, and why does this account matter today?
Evidence
What information supports the recommendation?
Human decision
What requires my judgment or approval?
How We Work
Start with one workflow. Build the foundation to scale.
Connect the context, decisions, and users behind a high-value GTM workflow, then build on what works.
01 
Start
Choose one high-value GTM workflow. Map the systems, data, decisions, users, success criteria, and human approval points.
02 
Expand
Connect the shared GTM context and add the next agents and workflows on top of the same foundation.
03 
Run
Measure real usage and outcomes, improve the system with human feedback, and expand automation as quality and trust are proven.
Human + Machine, One Intelligence.
Give AI the execution. Keep people in control.
AI agents research, prioritize, prepare, draft, analyze, and recommend. Your team applies judgment, approves customer-facing actions, manages exceptions, and determines where automation should expand.
- Your existing systems remain the source of truth
- Customer-facing actions can require human approval
- Recommendations remain grounded in approved context and evidence
- Automation expands as quality and trust are proven
Evidence sets the route
Automation is conditional. The action, its sources, and the team’s policy determine what happens next.
Grounding checkApproved context & evidence
Check that the source is relevant, current, and sufficient for this action.
Source Policy Confidence
Auto
Within policy and grounded in approved context.
Proceed within the agreed boundaryReview
A person is required for this action or audience.
Route to the right ownerEscalate
Evidence is missing, conflicting, or outside policy.
Pause and surface the exceptionInsufficient source? Pause the action, surface what is missing, and send the case for resolution.
Traceable outcomeEvidence → route → decision → result
EvidenceAction pathOwnerOutcome
A system design example. Review is required only when the action or policy calls for it; source failures follow an exception path.
Build an AI-Native GTM Motion
Where could your team turn more signals into opportunities?
Tell us the GTM workflow you want to transform. We’ll map the opportunity, connect the right systems and context, and define the first production AI agents needed to create measurable business impact.