Multi AI Agent System

Specialized AI agents working together across your business

We design and develop systems in which multiple AI agents take on research, analysis, planning, execution, and review. Internal knowledge, existing applications, permissions, human approval, evaluation, and operations are designed as one system.

Work spanning multiple steps

Connect workflows that span research, analysis, document preparation, and updates to business systems.

Fragmented knowledge and applications

Help teams use information and tools across departments while respecting access permissions.

Co-development with internal teams

Work with business users and internal developers through in-house development support or FDE to enable continued improvement.

Agent roles and orchestration

Define responsibilities, inputs, outputs, execution order, and handoff conditions around the workflow.

Knowledge and system integration

Use RAG and APIs to retrieve internal knowledge, access data, and operate applications.

Permissions, approvals, and exceptions

Design action permissions, human review, retries, and escalation when execution fails.

Evaluation and improvement

Create workflow-specific evaluation data and logs to improve quality, execution time, and cost.

Agent system and interface

Deliver agents, integrations, and user interfaces for the agreed workflow scope.

Evaluation scenarios and execution logs

Provide evaluation cases, including exceptions, and mechanisms to trace execution results.

Operational and development guidance

Document architecture, configuration, and improvement practices to support ongoing operation and development.

Connect discovery with delivery

Carry discovery findings into design and implementation to keep development aligned with its purpose.

Use evidence to guide the next step

Share findings and unresolved issues to decide what to build next and which improvements matter most.

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Consulting + AI development
we bring AI transformation to your business

From problem definition and feasibility validation to AI agents, physical AI development, and ongoing improvementDiscuss AI Business & Development