Your reps sell. Your buyers haven't bought.
Seller action is not buyer confirmation. DealGraph AI surfaces the gap — analyzing CRM data, transcripts, and buyer signals to tell you what's actually happening in every deal, not just what your reps logged.
Core Philosophy
Seller action ≠ buyer confirmation
Most CRMs reflect what sellers did — calls logged, emails sent, stages moved. But none of that means the buyer agreed, committed, or even responded. DealGraph AI closes this gap by validating seller activities against actual buyer signals: commitments made, objections raised, stakeholders engaged, and evidence of forward motion.
Every deal gets scored not by what your team did, but by what the buyer confirmed. That's the difference between a pipeline of hope and a forecast you can trust.
“Demo went great”
No follow-up from buyer in 14 days
“Scheduled security review”
Calendar invite sent, 3 stakeholders added
“Budget approved”
No procurement contact identified
“Sent PO for approval”
Email evidence from VP of Finance
Connects to the CRMs you already use
Decision Engine
Simulate. Decide. Validate. Repeat.
Four interconnected tools that turn deal uncertainty into a structured execution plan — and then verify the buyer actually moved.
Deal Simulator
Run what-if scenarios on any deal. The simulator generates ranked decision paths with probability scores, showing which actions move the needle and which waste cycles.
Decision Paths
AI generates multiple strategic paths ranked by impact. Each path includes specific actions, expected outcomes, and the buyer response needed to validate progress.
Action Plans
Dynamic action plans calibrated to your deal's close date. Auto-generated email drafts, call scripts, and escalation briefs — every action mapped to the buyer commitment it should produce.
Outcome Validation
After each action, validate whether the buyer actually responded. Track commitments against evidence. If the outcome doesn't match, the plan adapts.
Platform
Intelligence at every stage of the deal
Six specialized AI agents analyze deals from every angle — qualification, risk, stakeholders, buyer signals, strategy, and execution.
Multi-CRM Unification
Connect Salesforce, HubSpot, Pipedrive, or CSV sources. Data flows through AI-enhanced field mapping into a unified, normalized model. One truth for every deal.
Deal Qualification
Score every deal against MEDDPICC, BANT, and SPICED frameworks. Identify missing info, weak signals, and the exact questions your reps should ask next.
Risk Detection
Detect 11 risk categories across 4 severity levels. Budget uncertainty, champion loss, competitor activity, stalled velocity — catch threats before they kill deals.
Knowledge Graph
AI extracts people, companies, and relationships from every deal interaction. See the complete stakeholder map — who influences whom, who blocks, who champions.
Buyer Signal Tracking
Track actual buyer commitments with confidence scoring. Distinguish between verbal interest and verifiable action. Evidence-backed pipeline, not rep optimism.
DealGraph Intelligence
Contextual AI assistant on every page. Multi-turn conversations grounded in deal data. Create follow-up actions, get coaching, and ask questions with cited answers.
AI Agent System
24 specialized agents. One unified intelligence.
Every deal runs through a LangGraph-orchestrated pipeline of specialized agents — from initial qualification through decision-making, execution, and outcome validation.
Qualification Agent
MEDDPICC / BANT / SPICED
Scores deals 0-100 across proven frameworks, flags missing fields, generates the next discovery questions.
Risk Agent
11 categories, 4 severities
Detects budget risk, champion loss, competitor threats, stalled velocity, single-threading, and more.
Follow-Up Agent
Prioritized actions
Recommends next steps with suggested messages, contact matching, due dates, and priority rankings.
Entity Agent
People, companies, roles
Extracts every person, company, competitor, and champion mentioned across all deal interactions.
Relationship Agent
Stakeholder mapping
Maps who works where, who decides, who blocks, and who champions — with confidence scoring.
RAG Agent
Multi-modal search
Combines vector, SQL, and graph search to answer any question about any deal with cited sources.
Simulator Agent
Scenario modeling
Generates ranked what-if scenarios with probability scores, impact analysis, and recommended action sequences for at-risk deals.
Decision Path Agent
Path ranking
Evaluates multiple strategic paths and ranks them by expected impact, feasibility, and alignment with buyer signals.
Best Path Selector
Optimal strategy
Selects the highest-impact decision path by cross-referencing deal context, historical patterns, and buyer engagement data.
Action Plan Agent
Dynamic execution
Builds action plans calibrated to the deal close date with auto-generated email drafts, call scripts, escalation briefs, and CRM tasks.
Outcome Validation Agent
Evidence verification
Validates whether each action produced a real buyer response. Checks commitments against evidence — seller action is not buyer confirmation.
Evidence Merge Agent
Signal synthesis
Aggregates evidence from transcripts, emails, and CRM updates into a unified view of buyer commitments and deal momentum.
Buyer Account Memory
Historical context
Tracks buyer organization patterns across deals — procurement preferences, approval chains, past objections, and win/loss reasons.
Competitor Pattern Agent
Competitive intel
Identifies competitor displacement patterns, common objections, win/loss drivers, and the counter-positioning that works.
Similar Deal Retrieval
Pattern matching
Finds historically similar deals by industry, size, stakeholder profile, and risk pattern to inform strategy with precedent.
Stakeholder Agent
Power mapping
Maps the buying committee — economic buyer, champion, technical evaluator, blocker — with influence scores and engagement gaps.
Pricing Concession Agent
Negotiation intel
Analyzes pricing sensitivity, concession history, and discount patterns to recommend negotiation strategy and walk-away points.
Security & Legal Agent
Procurement readiness
Tracks security review, legal redlines, procurement process status, and compliance requirements that gate the deal.
Email Draft Agent
Auto-generates contextual email drafts for each action plan task.
Call Script Agent
Prepares meeting agendas and talk tracks tailored to stakeholder roles.
Escalation Brief Agent
Creates executive summaries for sponsor escalation with key metrics.
CRM Task Agent
Generates structured CRM tasks with due dates and owner assignments.
Manager Summary Agent
Produces deal status summaries for pipeline review meetings.
Meeting Prep Agent
Compiles stakeholder history and agenda items before calls.
How it works
From connected CRM to validated intelligence
Connect your CRM
Link Salesforce, HubSpot, or Pipedrive with OAuth in under 2 minutes. Or upload CSV and meeting transcripts directly. Data imports automatically and syncs via webhooks.
AI analyzes every deal
Six agents process each deal through qualification scoring, risk detection, stakeholder mapping, entity extraction, and follow-up generation. Results stream to the UI in real time.
Simulate and validate
Run deal simulations, generate decision paths, build action plans, and then validate outcomes against actual buyer signals. Strategy backed by evidence, not guesswork.
Risk categories
Qualification frameworks
AI agents
Full analysis
Deal Map
See the full picture of every deal
The Deal Map combines buyer roles, MEDDPICC scores, win probability, risks, and next actions into a single visual overview. No more switching between five tabs to understand deal health.
- Buyer influence mapping with engagement status
- Real-time qualification score and sentiment tracking
- Risk overlay with severity color coding
- Prioritized next actions tied to buyer commitments
Economic Buyer
Sarah Chen, VP
Champion
Mike Torres, Dir.
Technical
Alex Park, Eng.
78
MEDDPICC
$240K ARR
Budget risk
No formal budget approval
Competitor
Active eval with Gong
Timeline
Close date slipped 2x
Outcome validation: 2/5 tasks confirmed by buyer signal
Decision Maker
Simulate. Plan. Execute. Validate.
The Decision Maker doesn't just tell you what to do — it verifies whether the buyer responded. Run deal simulations, explore ranked decision paths, build action plans with email drafts and call scripts, then validate each outcome against real buyer evidence.
- Deal Simulator with ranked scenario paths
- Decision paths with impact scoring and probabilities
- Action plans with auto-generated emails and scripts
- Outcome validation against buyer confirmations
Conversation Intelligence
Every conversation feeds the intelligence layer
Upload meeting transcripts, emails, and call notes in any format. DealGraph auto-links them to deals via entity matching, extracts insights, and feeds them into the AI pipeline for richer scoring and more accurate risk detection.
.txt
Plain text
.vtt
WebVTT
.srt
Subtitles
45 min · 3 participants · Zoom
30 min · 5 participants · Teams
20 min · 2 participants · Phone
FAQ
Frequently asked questions
- What CRMs does DealGraph AI support?
- DealGraph AI connects to Salesforce, HubSpot, and Pipedrive via OAuth. You can also upload deal data via CSV or import meeting transcripts directly in .txt, .vtt, or .srt formats.
- What does 'seller action ≠ buyer confirmation' mean?
- Most CRMs only reflect what sellers did — calls logged, emails sent, stages moved. None of that means the buyer agreed. DealGraph AI validates seller activities against actual buyer signals: commitments made, objections raised, stakeholders engaged, and evidence of forward motion.
- How many AI agents does DealGraph AI use?
- 24 specialized agents organized in three tiers: 6 pipeline agents for qualification, risk, and entity extraction; 12 decision maker agents for simulation, strategy, and outcome validation; and 6 execution sub-agents that generate email drafts, call scripts, and CRM tasks.
- What qualification frameworks are supported?
- DealGraph AI scores deals against MEDDPICC, BANT, and SPICED frameworks. Each deal gets a 0–100 score with per-field assessments, missing info detection, and recommended next discovery questions.
- How does the Deal Simulator work?
- The Deal Simulator runs what-if scenarios on any deal. It generates ranked decision paths with probability scores, selects the optimal strategy, and builds dynamic action plans with auto-generated email drafts, call scripts, and outcome validation — all calibrated to your deal's close date.
- Is DealGraph AI free to use?
- Yes, you can get started for free with no credit card required. Connect your CRM in under 2 minutes and start analyzing your deals immediately.
Stop forecasting on hope.
Start forecasting on evidence.
Connect your CRM, let six AI agents analyze every deal, and know the difference between what your reps did and what the buyer confirmed.