Platform

The Enterprise
Decision Layer

Enterprises still depend on people to stitch fragmented signals into action. StarLifter is the decision control plane between your data systems and the applications where work gets done — continuously evaluating signals, reasoning over enterprise context, and orchestrating governed action within policy.

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From Reporting to Deciding

No dashboardsNo meetingsJust outcomes

Detect & Connect

Signals from your stack, enriched with the context that matters

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, 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 the Enterprise Decision Layer

Move from reporting to deciding — with a governed decision layer your operators can trust.

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