Doop UX

Solutions

AI Automation

Agentic workflows that take over the busywork, with a human reviewing every output before it touches your business.

What AI automation means for a small business

AI automation replaces the repetitive admin that eats your team's week (quotes, follow-ups, data entry, status updates) with agentic workflows that draft, reason, and prepare the work, while a person reviews every output before it goes out. The result is measured in hours: our Northgate engagement returns 160 to 300 hours per month across three rebuilt workflows.

This page is the summary. The full picture, including a real agent configuration, a before-and-after of a live workflow, and how we keep ongoing AI costs 60 to 80% lower with tiered model selection, lives on our AI Transformation page.

When this service fits

  • Your team spends 20 or more hours a month on tasks that follow a pattern: read, check, draft, update, reply.
  • Work lives in email threads and spreadsheets, and things slip when someone is away.
  • You have tried simple automation and hit its ceiling: too rigid, breaks on exceptions, no judgement.
  • You want the benefit of AI without handing your business to a black box.

How we work

  1. Map the workflow. We sit with the people doing the work and document how it actually happens, then rank every workflow by pain and payoff. This is the same diagnostic that powers our Business Process Optimization work: process first, automation second.
  2. Architect with the right model. Frontier models only where judgement matters, lighter models for routine drafting, plain rules for calculations. Everything connects to the tools you already run, no rip-and-replace.
  3. Pilot with guardrails. One workflow goes live with explicit limits and a human review step. We measure time saved, error rate, and cost per task against the baseline.
  4. Scale what proves itself. Once the pilot earns its keep, we extend the agent fabric to related workflows and keep tightening the loop.

A real result

Northgate Building Group (Sydney): nine business workflows mapped, the three most painful rebuilt as agentic workflows. Variations that took a project manager around 22 minutes each now take about 3 minutes of review. See the full breakdown on the AI Transformation page, or more client outcomes in the showcase.

Frequently asked questions

How do you decide which processes to automate with AI? We map how your business actually runs, quantify the effort each workflow consumes, and rank candidates by pain and payoff. Only steps with measurable gains and safe monitoring move into automation.

What is an agentic workflow and how is it different from Zapier or Make rules? Traditional automation links triggers to actions in a straight line. An agentic workflow gives an AI agent a goal, the right tools, and the autonomy to handle judgement, exceptions, and multi-step reasoning, with a person approving the output.

How do you keep humans in control? Every workflow ships with explicit guardrails and a review step before anything is sent, posted, or paid. Agents draft, reason, and prepare; a person signs off. The configuration is versioned and auditable.

How do you measure success? Each pilot starts with baseline metrics: time per task, touches per week, error rate, and cost per task. We verify the gain against that baseline before scaling the automation across your business.

Ready to start? Book a call: 30 minutes, no pitch. Bring the workflow that hurts most and leave with a sketch of the agent we would build.