GOFTUS

Agentic AI systems that finish multi-step work

Multiple specialist agents reason, plan and coordinate across your tools, under an orchestrator you can inspect and control.

What it does

  • An orchestrator with shared memory and error correction
  • Specialist agents for research, drafting and checking
  • Human approval gates on risky actions
  • Logs, traces and cost controls on every run
  • Retries and fallbacks when a tool or model fails

What you get

  • An orchestrator with shared memory and error correction
  • Specialist agents scoped to their own tools
  • Human approval gates on risky actions
  • Logs, traces and cost controls
  • A rollback path for actions taken in your systems

Example workflows

Example 1

Example 2

Example 3

How we build it

  1. 1Map. We map the workflow as it runs today, including the exceptions nobody writes down.
  2. 2Build. We build the agent or automation around one measurable workflow.
  3. 3Approve. We add approval gates and logs wherever a mistake would matter.
  4. 4Connect. We connect the right tools, data and reporting with scoped access.
  5. 5Improve. We keep improving: exceptions, reporting and the next workflow.

Controls built in

  • Approval gates on anything risky, with named owners
  • An audit trail of every action, reviewable and reversible
  • Scoped, least-privilege access per agent and per tool
  • Deployment in your cloud or ours

Frequently asked questions

Still weighing it up? Ask us directly. We reply within one business day.

Ask a question

Narrow agents are easier to test, cheaper to run and safer to give access to. The orchestrator keeps them working to one goal.

Start with one workflow and a clear owner.

Book a free call and we will tell you honestly whether AI automation helps, and where to start.

We reply within one business day.

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