The AI software factory
AI that can help. Never run ahead.
toto foundry treats AI as a bounded enterprise capability: useful enough to accelerate the work, controlled enough to earn a place in it.
Roles, not a super-agent
Give each agent one clear job.
Domain agent
Retrieves authorized context, classifies a request, and proposes the domain information or next action that is needed.
Workflow design agent
Turns approved intent into a draft state model, workflow definition, and integration dependency map.
Validation agent
Checks proposed changes against semantic constraints, policy rules, contracts, and test evidence.
Governance review agent
Prepares an explainable risk summary and required approval path. It cannot approve its own output.
Tools have contracts
No invisible permissions.
Every tool declares its input and output schema, authorization scope, side-effect class, timeout, retry behavior, idempotency key, audit event, and approval requirement. Tools that create, modify, deploy, or delete production artifacts remain behind a Conductor OSS workflow and a successful policy decision.
Autonomy, explicitly chosen
More capability only when the evidence supports it.
- AdvisoryAI returns analysis, drafts, evidence, and recommendations for a person to consider.
- AssistedAI can create sandbox artifacts that require review before any promotion or material effect.
- ControlledAI may invoke pre-approved, idempotent tools inside an authorized workflow with the required approvals.
Evidence by default
Every run leaves a record worth reviewing.
toto foundry records the graph and prompt version, model, retrieval references, tools, policy decision, reviewer decision, and workflow outcome. Model or agent changes are governed releases with evaluation, security review, cost limits, and rollback.
See the durable control path