Why we didn't build fully autonomous agents
Autonomous agents sound good in theory. In production, they fail because agency work needs judgment, context, approval.
That's why we built human-in-the-loop agentic workflows.
In an agentic workflow, ai/Chat provides structure, consistency, and speed. Humans provide answers, feedback, guidance, reviews, and approvals. Together, they expedite traditional agency workflows and deliver higher quality results, faster.
Top agentic workflows
How agentic workflows actually work
Confirm the client, select your role, provide initial direction.
Pulls agency and client context from knowledge base automatically.
Generates outline and draft informed by your context, not a generic response.
Reviews the approach, structure, and iterates before next stage.
Final output delivers to client, Asana, Google Drive, or portal.
What changes when you use agentic workflows
- Spend hours rebuilding repetitive deliverables from scratch
- Outputs vary by person, prompt, project, and experience
- No structured intake, standard output, or approval gates
- AI handles structure, setup, and repetitive production steps
- Review, refine, and approve instead of starting from zero
- Every workflow has a consistent process with quality controls
The right model for the job
Choose ChatGPT, Claude, or Gemini for any workflow. Fast models for outlines. Standard for drafts. Premium for complex work. Compare models side by side.
Smarter workflows with knowledge
Agency and client knowledge automatically inject context into every workflow. Accurate. On-brand. Grounded in facts and data. No more generic AI responses.
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See which workflows we'd recommend for you
We'll walk through your agency's most time-consuming tasks and identify which workflows to use.