AI consulting, answered
The questions service businesses ask us most often about working with an AI consultant — what it actually involves, what it costs, and how to tell whether AI is worth it for your workflow. No jargon, no sales theatre.
A good AI consultant figures out where AI saves your business time or money, then implements it — not just where it sounds impressive. In practice that means auditing your workflows, picking the right tools or building a custom integration, configuring everything, and handing your team something they can use. The deliverable is a working system, not a slide deck.
It depends on scope. Configuring existing AI tools for a workflow is a small fixed-price engagement; a custom build with API integrations and automated pipelines costs more. We scope and price each project up front so you know exactly what you are buying — no hourly retainers. The initial 30-minute consultation is free.
Not always. If a workflow is already cheap and reliable, AI rarely beats it, and we will tell you so. Where a consultant earns their fee is in skipping the months of trial-and-error: knowing which tools work, what they cost, how to wire them into your existing systems, and where AI quietly fails. For a small team, that saved time is usually the whole point.
Tool setup means using existing AI products — for content, research, image generation, document handling — configured for your specific workflow. Custom implementation means building something that does not exist off the shelf: API integrations, multi-step automations, or agents tailored to your process. Most businesses start with tool setup and only build custom where the off-the-shelf option genuinely falls short.
Tool-setup engagements often ship in days to a couple of weeks. Custom builds depend on how many systems they touch, but we scope to a defined outcome rather than an open-ended project, so you get something working in production quickly instead of waiting on a multi-month transformation.
No. We work with business owners and operators, not engineers. You bring the knowledge of how your business runs; we handle the tools, the integration, the testing, and the handoff.
We are deliberately tool-agnostic and pick what fits the job — including ChatGPT, Claude, and Gemini for language and reasoning tasks, plus image and automation tools where they help. Because we are not reselling any one platform, the recommendation is based on what actually works for your workflow and budget.
In our experience the useful version of AI removes the repetitive parts of a job — drafting, sorting, summarising, looking things up — so your team spends more time on the work that needs a human. We scope implementations around augmenting specific tasks, not replacing roles.
We start with the cheapest path that solves the problem. If an existing product already does the job well, configuring it beats building from scratch every time. We only recommend custom work when the off-the-shelf options cannot handle your process, your data, or your integration requirements — and we will say so honestly either way.
The readiness test is simple: do you have a repetitive, rules-light task that eats hours every week, and is the information needed to do it written down somewhere? If yes, that workflow is usually a strong AI candidate. The free consultation exists to find those candidates and rule out the ones that are not worth automating.
Yes — the first 30-minute call costs nothing and carries no obligation. You leave it with clear recommendations on where AI fits and what it would take. If there is a fit for paid work, we send a scoped proposal. If there is not, we will tell you that too.