The three phases.

009 AI creates an agentic twin of your operations. Recon optimizes how work moves. Deploy puts agents into production and improves them through usage. AI Native makes your operational data usable by agents and tools.

00

Recon

009 AI creates an agentic twin of your operations.

The Agent Twin connects to your systems and watches how work actually moves. It reads historical cases, maps every process, handoff, and delay, and builds a quantified baseline of cost, cycle time, and error rate. Then it designs agents and simulates their impact against your own historical data.

Output

  • A ready-to-deploy optimized version of your operations, run by agents
01

Deploy

Agents move from the operational twin into production and start improving your operations immediately.

Agents move from the operational twin into production through a direct, measured rollout. They handle the work you assign, learn from real usage, and improve the system as they run. You can reverse changes or stop any agent from Command Center.

Output

  • Your operations run through agents that learn from usage and continuously improve the system.
02

AI Native

Your organization runs on data that agents can use.

Your operational data is organized into a datalake that gives agents the context to answer questions, create reports, and design and build internal and external tools in real time.

Output

  • A datalake that enables your organization to create internal and external tools instantly, in real time.

Recon sets the baseline. Deploy and AI Native build from it.

RECON DEPLOY AI NATIVE baseline verified here OPERATING COST COST ↓ DATA PRODUCTS GROWTH ↑

Recon shows your operations today, Deploy reduces operating cost through agent usage, and AI Native turns your operational data into tools your teams can use.

Understand your operations with AI.

Recon gives you a clear view of how work moves today and where agents can improve it.

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