Tanuki Labs AI Agents & Automation
Build controlled AI agents and automations with tools, approvals, evidence, audit trails, integrations, and human oversight for real operational work.
Built around the real problem
Tanuki Labs shapes each engagement around the client's goals, constraints, team, and available data. We can help define the first useful version, build it, and keep improving it with you.
A focused engagement
Teams that want AI agents and automation to perform bounded operational work while people retain visibility and control.
Typical deliverables
- Workflow and risk mapping for agent-assisted operations
- Agent tools, retrieval, memory, integrations, and approval gates
- Evaluation, audit trails, exception handling, and operator interfaces
Useful outcomes
- Less repetitive work without hiding consequential decisions
- Agents that operate within explicit permissions and evidence
- Automation that can be measured, interrupted, and improved
Plans are shaped around scope, urgency, available systems, and the team involved. Tanuki Labs also considers selected pro bono and sustainability projects where the work can create meaningful public value.
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How this service becomes dependable software
Tanuki Labs designs agent systems around a clear operating contract: what an agent can observe, decide, draft, change, or escalate. We connect the agent to the smallest useful toolset, preserve human approval where consequences matter, and create visible queues for exceptions. Conventional automation and deterministic checks remain part of the system whenever they are safer or more efficient than model reasoning.
A useful agent needs more than a successful demo. We test tool calls, permissions, retrieval quality, state transitions, retries, timeouts, and human handoffs. Audit records and proof of completed work make the system easier to trust. This engineering discipline supports practical automation for research, communication, operations, customer experiences, and internal workflows.