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About Ordify

Ordify is where your company owns and compounds its own intelligence. Models are becoming commodities. The lasting asset is how you organize your data, workflows, and institutional knowledge — and that organization is what stays with the company.

Why​

Most AI tools hand you an answer and the session disappears. Ordify exists so the work does not vanish: your data, your workflows, and your team's knowledge stay in one place and get more valuable the more you use them.

How​

Three things set Ordify apart.

Accessibility​

Any team can build guardrailed, multi-agent workflows without writing code, and run them again and again. You are not limited to one-off chat, and you do not have to pick between talking to an AI and automating with something rigid and code-heavy. A non-technical team can do both in one system.

See Create an agent and What is a job.

Sovereignty​

Access is controlled at two levels: which workflows a person can use, and exactly what each agent can do inside a connected tool — for example read and update without ever deleting. Your organization approves which applications connect in the first place, and usage can be tracked and capped.

Most platforms grant blanket, all-or-nothing access tied to one person's login. In Ordify, access lives with the organization, not the individual, so it survives turnover instead of breaking.

See AI Governance and Connect an app.

Enduring assets​

Two systems compound over time.

  • Drive turns the documents your team touches — meeting notes, proposals, vendor information — into a shared, structured knowledge base the whole team can build on, not just a pile of files an AI can search.
  • Library turns every agent, workflow, and skill you build into a reusable asset, with personal, organization, and shared template tiers. Solving one problem well makes the next one faster.

The knowledge and the workflows stay, and both get more valuable the more the team uses them.

What​

Under those three pillars you get:

  • A no-code builder for guardrailed multi-agent workflows
  • A governance layer with organization-level permissions, down to what each agent can do inside each tool
  • Drive, a compounding knowledge base built for the whole team
  • The Library, with personal, organization, and shared template tiers
  • A model layer that picks the right model — text, image, or video — for the task, so you are not locked into one vendor
  • Over 10,000 tools you can assign to agents, from connected apps and built-in capabilities. An app is the service (Gmail, Slack, Sheets). A tool is one action inside it (read, update, send). You choose the tools, not the whole app at once.

You can still start with a single conversation. From there you create agents, connect the tools they need, and save the work so the next person does not start from scratch.

What's next​