AI consulting built for small business budgets and timelines

Most AI consulting is built for enterprise budgets and multi-quarter timelines that don't fit a small or growing business. We scope engagements the other direction: start with the single highest-impact use case, prove it out fast and cheap enough to justify the investment on its own, and expand from there — rather than requiring a large upfront commitment before you see any return.

That means an AI consulting engagement with us might be a focused MVP that automates one painful manual process, a proof-of-concept chatbot for customer support, or an assessment that tells you honestly where AI will and won't help your business right now — sometimes the most useful consulting outcome is a clear 'not yet, and here's why.'

If you want a defined starting point rather than an open-ended conversation, consulting work can start with one of two packaged engagements. An AI readiness audit takes two to four weeks and ends with a written AI-use roadmap and a build estimate — the right choice when you know AI should help but not yet where. An AI discovery sprint takes four to six weeks and ends with a working prototype and a production roadmap — the right choice when you already have one use case in mind and want proof it works on your data before committing to a full build.

We help small and mid-size businesses identify where AI can realistically save time or money given their actual data, tools, and team size, then build the smallest version of that solution that delivers real value — an AI chatbot, a document-processing automation, a predictive report, or a custom internal tool.

Not every problem needs custom AI development — sometimes an existing tool solves it well enough, and we'll tell you that rather than pitching a custom build we don't think you need. Where a custom solution is the right call, we explain why in plain terms: what an off-the-shelf tool can't do for your specific workflow, data, or integration needs.

Small business engagements are scoped project-by-project rather than requiring a retainer or long-term contract. If the first project delivers value, most clients come back for the next one — but that's a decision you make after seeing results, not a condition of getting started.

Every engagement starts with a free discovery call, where we learn your goals, systems, and constraints before proposing a scope. Tell us your business, your team size, and the problem you're trying to solve, and we'll give you an honest read on whether AI is the right tool for it. Pricing depends on scope, team composition, and engagement model (fixed-scope project, dedicated team, or staff augmentation). We don't publish flat rates because a two-week automation and a multi-quarter platform build cost very differently — instead, we scope your specific project on a free discovery call and follow up with a transparent, itemized estimate.