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I find the repetitive work in your team, rank it by hours saved, and build what pays back fastest: simple code where the rules are fixed, AI agents where the work needs judgment.
The automation assessment is a flat $3,500 over two weeks, and you keep the roadmap either way. Builds are fixed price per roadmap, typically $8–25K, and the assessment fee credits toward the build. Bigger programs run through the AI Product Sprint.
30 minutes on where your team loses time. You leave with a view on whether automation is worth it at all.
I map the workflows, time each task, and rank every candidate by hours saved against cost to build. You get the roadmap and a fixed price for the build.
The highest-ROI automations ship first, with a demo every Friday. Simple code where the rules are fixed, an AI agent where the work needs judgment.
Monitoring, docs and a handover session. Then a month of fixes and tuning.
Not everything needs AI. If a step follows fixed rules, it becomes plain, well-tested code wired to your tools' APIs, because that is cheaper to run and easier to trust. AI agents are for work that needs judgment: reading messy emails, classifying tickets, deciding what to do next. Every automation ships with alerts, so a silent failure never becomes a customer problem.
Real questions from scoping calls. If yours isn't here, ask it on a free 30-minute call.
An AI automation consultant finds the repetitive work in your business, decides what's worth automating, and builds it. The deciding part matters as much as the building: plenty of tasks are cheaper to leave manual, and plenty need only a few lines of code, not AI. I do both halves, so the recommendation isn't shaped by what's easiest to sell.
The assessment is a flat $3,500 and takes two weeks. It ends with a roadmap ranked by ROI and a fixed price for the build, typically $8–25K. The assessment fee credits toward the build, and the roadmap is yours even if you don't go ahead.
No, and often you shouldn't use it. If a task follows the same rules every time, simple code wired to your tools' APIs is cheaper, faster and more predictable. AI earns its place when the input is messy or the task needs judgment, like reading emails, classifying tickets or drafting replies. The assessment makes that call for each workflow.
The ones that happen daily, follow clear rules and eat the most hours: data entry between tools, lead routing, ticket triage, report building. I rank every candidate by hours saved against cost to build, so the first automation pays back fastest.
It takes the repetitive part of their job, not the job. The teams I work with move the saved hours to work that needs a person: customers, judgment calls, exceptions. Anything risky, like refunds or outgoing emails, stays behind human approval.