Detect & Connect
Signals from your stack, enriched with the context that matters
Platform
Cross-system investigation,
prepared for action
Operating teams still piece together what is happening across ERP, CRM, warehouses, and messaging tools before they can decide. StarLifter does that investigation continuously — then brings people a recommended next step with evidence, policy context, and human approval. That capability is the Enterprise Decision Layer.
Prefer video? See StarLifter in action.
From Reporting to Deciding
From signal to prepared decision — with evidence and human approval
Reason & Decide
Evaluates options against your policies and priorities
Act & Orchestrate
Executes the right next step within the guardrails you set
Your ERP tells you what happened. Your BI tells you it’s a problem. Neither was built to reason and act. StarLifter was.
StarLifter Decision Control Plane
Built to decide and act, not just describe. Enterprise context — semantics, ontology, metrics, policy, and thresholds — powers governed orchestration across your existing stack.
Enterprise context
Learns business meaning from structure, data, and behavior — semantics, ontology, and metrics your teams already trust.
Policy & governance
Rules, operational thresholds, role-based access, and approvals — so action stays within guardrails.
Decision layer capabilities
Reusable capabilities on the layer for recurring decisions — inventory drift, deal risk, churn, SLA breach, and more.
Action orchestration
Tasks, notifications, CRM updates, and approvals in ServiceNow, Slack, Microsoft Teams, and the systems where work already happens.
What is the decision layer?
The decision layer continuously evaluates signals, applies your business context, and surfaces governed next steps for the people responsible — so teams can move fast without redoing the work each week.
Churn monitoring
Spot at-risk accounts and act on the decision layer.
Inventory & supply
Detect drift before stockouts and supply surprises.
Deal & pipeline risk
Align revenue teams around the same signals and next steps.
SLA & service performance
Blend operational signals before breaches compound.
The decision layer includes
- Live signals from multiple systems
- Business logic, semantics, and shared definitions
- A decision surface for operators
- Alerts, recommendations, or record updates
- Traceable history with audit support
Category distinction
More than AI question answering
LLMs enable the decision layer. Running the enterprise still requires enterprise context, policy, governance, and execution infrastructure — not prompt-driven Q&A alone.
- Semantic model and ontology over your data
- Policy-driven decisions and operational thresholds
- Role-based governance and approval paths
- Executable decision playbooks with continuous learning
Core capabilities
Connect & synthesize
Connect to warehouses, CRM, ERP, and operational databases — surface the signals that matter.
Model enterprise context
Semantics, metrics, and relationships so the system reasons in business terms, not raw fields.
Leverage the decision layer
Reusable governed capabilities on the layer for recurring decisions — not another static dashboard.
Monitor & detect drift
Track change over time and flag decision-relevant shifts before they become surprises.
Recommend & triage
Policy-compliant next-best actions prioritized by business impact.
Orchestrate action
Trigger tasks, notifications, and updates in the systems your teams already use.
Security & Governance
Role-based access, traceable decision history, and human-in-the-loop control for sensitive operations.
Role-based access
Control who can view, edit, or act on data and decisions.
Change visibility
See how data and decisions evolve over time.
Traceable history
Audit support for what changed and why a decision was made.
Human oversight
Approvals and override paths for sensitive operations.
See a prepared decision in action
Watch how StarLifter turns cross-system investigation into a recommended next step — then talk with us about a problem your team faces.