We are SOC 2 Type 2 compliant and GDPR compliant.

Understand the work. Plan capacity across people and AI. Govern execution.

  • Work Mining & Ontology

    Understand the work.

    Mine enterprise data to infer roles, tasks, processes, dependencies, and controls.

    Work visibility · AI opportunities · Process intelligence

  • Simulation & Capacity Planning

    Plan what changes.

    Model demand against human, partner, and AI capacity before making changes.

    Capacity planning · Bottlenecks · Scenario simulation

  • Orchestration & Governance

    Run the work.

    Coordinate people and AI agents through assignments, approvals, handoffs, and exceptions.

    Human-in-the-loop · Controls · Traceability · Auditability

Asteri agents are deployment-ready for Regulatory Affairs and Clinical Operations — with third-party agents governed through the same operating layer.

Define where agents act, where humans remain in control, and how work moves between them — with permissions, approvals, traceability, and auditability built into execution.

Regulatory Affairs · Clinical Operations

A living model connects:

People Roles Tasks Processes Systems Evidence Controls Agents Living Model of Enterprise Work hold own perform form run on record satisfy govern People Roles Tasks Processes Systems Evidence Controls Agents Planning Simulation Execution capacity

The same context powers planning, simulation, and execution.

Governance is built in. Human oversight, access controls, approvals, traceability, execution history, and auditability are part of how work runs — not added afterward.

Asteri works across the enterprise stack — connecting existing systems, functional platforms, repositories, automation, and internal AI into one governed operating layer.

One operating layer across the work.

See how work actually gets done.

Asteri creates a continuously evolving view of work — from a function or business unit to a major program or the entire enterprise. See what work is being performed, who or what performs it, how much human effort it requires, where capacity is consumed, where duplication and bottlenecks exist, and where AI can create value.

Understand the work before changing how it gets done.