AI & Automation
AI Consulting Services
Most businesses evaluating AI don't have a technology problem, they have a scoping problem — an unclear sense of which parts of their process AI can reliably help with versus where it would introduce more risk than it removes. Consulting here means an honest assessment of that, backed by direct implementation experience rather than a generic strategy deck.
This is useful both as a standalone engagement before committing budget to a build, and as the first phase of a larger AI development project.
What's Included
- checkProcess review to identify where AI genuinely fits versus where it doesn't
- checkFeasibility assessment against your actual data quality and volume
- checkCost estimation for realistic AI API usage at your expected scale
- checkRisk assessment for where AI errors would actually matter
- checkA prioritized roadmap if multiple opportunities are identified
What I Won't Do
Recommend AI where a simpler, non-AI solution would work better and cost less to maintain. A rules-based system is often more reliable and cheaper to run than an AI-based one for tasks with genuinely well-defined logic — that's a real recommendation I'll make when it's the honest answer.
Frequently Asked Questions
Do I need a consulting engagement before building anything?add
Not always — if the use case is already clear (like the specific examples on this site's AI solutions pages), we can go straight to scoping and building. Consulting is most useful when it's genuinely unclear where AI would help, or when evaluating multiple possible use cases against limited budget.
Will you tell me if AI isn't the right fit?add
Yes — a rules-based system, a better form, or a process change is sometimes the more reliable and cheaper answer than an AI feature, and I'll say so directly rather than recommending AI by default.
How is cost estimated before building?add
Based on expected usage volume and the type of AI operation involved (a small classification task is far cheaper per-request than a long-context generation task), using current provider pricing rather than guesswork.