Agentic Decision Intelligence

A progression from insight to action, built for business operators.

The Evolution of Decision Intelligence

A maturity path from answering questions to accountable outcomes.

1 AI Assisted

Answers questions faster

  • Interactive analysis with human judgment
  • Clear visibility into what happened
2 Insight Automated

Detects patterns

  • Signals, anomalies, and thresholds
  • Operators stay ahead of surprises
3 Recommendation

Suggests actions

  • Contextual options with tradeoffs
  • Human decision owners stay in control
4 Decision Coordination

Coordinates playbooks

  • Policies, approvals, and traceable decision history
  • Decisions move with accountability
5 Outcome Ownership

Owns outcomes

  • Outcomes are monitored and adjusted
  • Autonomy is earned and governed

StarLifter provides the data app foundation and decision playbooks that help teams progress through these stages — without overstepping governance or accountability.

Governed decision playbooks

StarLifter balances automation with human oversight. Every playbook operates within the guardrails you define.

Rules & Policies

Define thresholds, constraints, and business logic that govern agent behavior.

Approval Workflows

Route high-stakes decisions to the right people before execution.

Traceable decision history

Understand what changed, when it changed, and how decisions reached their current state.

Agent detected: Forecast variance > 15%
Policy check: Requires manager approval
Approval requested: Sarah M. (RevOps Lead)
Approved and executed

2024-01-15 14:32:07 UTC • Recorded in decision history

The era of passive analytics is ending

Enterprises are drowning in dashboards while decisions pile up. The organizations that thrive will be those that move from observing data to acting on it — with context, accountability, and control.

StarLifter is building the decision layer that bridges the gap between insight and action. Not another BI tool. Not another chatbot. A new category: Agentic Decision Intelligence.

The Path to Autonomy

A deliberate progression from assisted intelligence to higher levels of autonomy.

1
Now

Agentic

AI agents that recommend actions and execute with human approval. Governed automation with full visibility.

2
Next

Embedded

Decision intelligence embedded directly into enterprise tools. Act where work happens — ServiceNow, Salesforce, Slack.

3
Future

Autonomous

Decision systems that learn from outcomes. Humans set strategy; agents execute within guardrails.

Ready to see ADI in action?

See how StarLifter turns analysis into action with governed decision playbooks.

Request Demo