Predicting Pipeline Decisions
Before They Happen.
Sales teams moved from reactive pipeline tracking to AI-led account prioritization, with predictive scores embedded directly inside their CRM workflows.
Predictive AI helped teams focus on accounts most likely to convert reducing wasted effort, improving speed-to-first-touch, and driving measurable revenue impact.
Predictive AI & ML Solutions
Revenue Operations
Help sales teams decide who to work on—before time is wasted.
THE CHALLENGE (TILES)Reactive
Prioritization
Reps spent time debating which accounts to pursue instead of taking action.
Fragmented
Signals
CRM data, intent signals, and engagement data lived in silos—reducing trust in insights.
Low
Forecast Confidence
Leadership lacked confidence in pipeline quality and late-stage deal commitments.
Business Impact
33%
Faster
Lead qualification and speed-to-first-touch
3× More
Focus
On accounts most likely to convert
$800K
New revenue in a single sales cycle
90%+
Adoption
By sales reps driven by explainability and in-flow usage
Execution Model
Timeline
~12 weeks from data unification to fully governed, production-ready models.
Governed Data Unification
Unified CRM, intent, and engagement data under a single account view with lineage, quality checks, and access controls.
Predictive Account Scoring
Built two production-grade models:
- Opportunity Prediction — likelihood to convert
- Pipeline Depth — confidence of progression by stage band
Explainable AI in CRM
Scores, reasons (“why this is high”), and next-best signals surfaced directly inside CRM screens sellers already use.
Enterprise Governance & MLOps
Model versioning, approvals, monitoring, and rollback ensured trust, adoption, and long-term scalability.
