Declare what your business does. Let AI operate it. Safely. Full audit trail. Zero hand-written backend code.
The demo works. Production is a different story.
An agent with a database connection can do anything. Delete data. Skip validation. Call the wrong action twice. You're one hallucination away from a production incident.
When things go wrong — and they will — there's no record of what the agent did, when, or why. Good luck explaining that to compliance.
Most agent frameworks give AI unlimited access. That forces you into read-only mode, or a human-in-the-loop for every action — killing the entire point of automation.
Canonify is a governed runtime where you explicitly declare every action your business allows — then AI agents operate within those bounds.
Invoke declared actions. Same governance for both.
Enforces governance, audit, policies, idempotency.
Declarative, diffable, version-controlled system spec.
A Canon is a complete, machine-readable specification of your business domain. Entities, state machines, actions with guards, access policies — all declared, all version-controlled, all audited at runtime.
// Win a deal — with governance built in { "name": "deal.mark_won", "handler": { "steps": [ { "op": "read", "object": "deal" }, // Guard: start_date required { "op": "assert", "when": { "present": true, "ref": "$input.start_date" }, "else": { "code": "VALIDATION" } }, // Idempotent: only create if missing { "op": "read_optional", "object": "customer" }, { "op": "insert", "object": "customer", "when": { "absent": true } } ] }, "transition": { "from": ["contract_sent"], "to": "won" } }
Agents can only invoke declared actions. Guards enforce business rules. State machines prevent invalid transitions. No free-form database access.
Every action — human or AI — gets an audit event with timestamp, principal, input, and outcome. Complete traceability from day one.
Your entire system is a JSON bundle — version-controlled, diffable, round-trippable. Export it, edit it, re-apply it. Git is your source of truth.
Actions declare their idempotency mode. Agents can safely retry without creating duplicates or corrupting state. Production-grade by default.
Fine-grained access control. Users, agents, and service accounts get exactly the permissions they need. Column-level, row-filtered, role-scoped.
Declare UI specifications — tables, kanban boards, dashboards, public forms — alongside your data model. Staff tools without frontend code.
Canonify solves a different problem than existing platforms.
| LangChain / CrewAI | Retool / Appsmith | HubSpot / Salesforce | Canonify | |
|---|---|---|---|---|
| Agents are first-class | Yes | No | Bolted on | Yes |
| Governed action surface | No | No | Limited | Yes |
| Built-in audit trail | No | No | Yes | Yes |
| Declarative system spec | No | No | No | Yes |
| AI can generate the system | No | No | No | Yes |
| Zero backend code | No | No | Config, not zero | Yes |
| Version-controlled bundles | No | No | No | Yes |
Let agents handle customer success, procurement, onboarding, and support workflows — with the guardrails your compliance team requires. Every action audited, every transition governed.
Replace months-long custom software projects with a Canon bundle. CRM, helpdesk, order management — declared in JSON, deployed in minutes. Iterate with the client in real-time.
Give your customers AI-driven operational workflows as a feature. Canonify provides the governed runtime — you provide the domain expertise and the Canon bundle.
Full traceability, human oversight, and constrained autonomy. Every agent action logged with principal, timestamp, input, and outcome. The audit trail your regulator asks for — built in, not bolted on.
Install the CLI. Define your domain. Deploy in minutes. Your first Canon is one command away.
Get started for free