Sales Intelligence overview
Creatio Sales Intelligence is available in the latest release on a request basis. Customers wishing to access Sales Intelligence are encouraged to contact their Creatio success manager.
Sales Intelligence is an AI-driven analysis layer in Creatio that works across accounts, opportunities, and pipeline. Use it to understand buying groups, identify deal risks early, and improve forecast accuracy with data-driven insights instead of seller judgment alone.
Sales Intelligence continuously evaluates CRM signals — stakeholder activity, deal progression, and pipeline changes — and surfaces actionable recommendations. It helps sales teams act on what the data shows rather than reacting after problems become visible.
Sales Intelligence is organized into three components: Engagement Map, Risk Intelligence, and Forecast Intelligence.
Engagement Map
The Engagement Map gives sales teams a dynamic view of the buying committee for each deal. In complex B2B sales, success depends on engaging the right stakeholders at the right time — but buying groups are often larger and more complex than what a rep can track manually. Creatio continuously analyzes stakeholder data and interactions to surface relationship structures, influence patterns, and engagement gaps.
Each stakeholder in the map is enriched with role and influence data. Creatio identifies predefined roles such as Economic Buyer, Champion, Influencer, and Blocker, and infers influence scores based on engagement patterns. An interactive relationship diagram shows department-level and cross-functional connections, and updates in real time as new stakeholders are added or interactions occur.
Engagement and sentiment indicators show how active and responsive each stakeholder is — High, Medium, or Low engagement, and Positive, Neutral, or Negative sentiment — based on tracked interactions. AI-generated relationship insights explain the dynamics in natural language, identify missing or weak stakeholder coverage, and recommend specific engagement actions.
Risk Intelligence
Risk Intelligence provides continuous visibility into deal health and execution risk, enabling sales teams to address problems before they affect the outcome. Traditional pipeline management relies on static indicators such as time in stage. Creatio enhances this by analyzing multiple real-time signals — stakeholder engagement, activity patterns, and qualification completeness — to detect risks earlier and explain their root causes.
Opportunities are automatically classified as stalled, at-risk, or slow-moving based on multi-signal detection rather than stage rules alone. Each deal receives a predictive health score that combines engagement-based signals with qualification scoring using the MEDDPICC framework — tracking Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion, and Competition across the deal.
For deals involving parallel workstreams, multi-thread visibility tracks technical evaluation, commercial negotiation, and procurement or legal processes separately, and flags gaps across threads. AI recommendations translate detected risks into specific next actions — stakeholder re-engagement, executive alignment, qualification improvements, or suggested next-best steps.
Forecast Intelligence
Forecast Intelligence gives sales leaders a comprehensive and explainable view of pipeline performance. Rather than relying on seller judgment or stage-based probability, Creatio uses AI to evaluate deal quality, engagement signals, and historical patterns to generate data-driven forecasts independently of what sellers report.
The forecast management workspace shows quota, booked revenue, and gap tracking alongside commit and best-case categorizations, with pipeline coverage metrics and team or regional rollups. A dual view places the seller forecast side-by-side with the AI forecast, highlights discrepancies, and explains the differences.
Forecast change tracking captures pipeline movement over time — deal downgrades, slipped opportunities, and amount changes — and compares current forecasts against historical snapshots. Gap analysis identifies which deals can close the shortfall and prioritizes high-probability opportunities. AI forecast insights surface the root causes of forecast risk, flag weak deals in the commit category, and recommend actions to improve pipeline outcomes.