Knowing the difference is most of the work. Sweet AI Consulting helps owners and executives answer the challenge honestly.
I Approach
Most engagements begin with questions that sound simple: Should we be using AI? Where? How? The real work is figuring out what the operational problems actually are, before anyone talks about technology. Whether AI might improve a given process is most often a business question, not a technology one. So is how budgets should be allocated, and whether the answer involves AI at all.
The advisor's role is to draw that line clearly enough that the decisions afterward are straightforward and well understood.
The advisor who says “use AI for this” should also be willing to say “don’t use AI for that.”
II Engagements
Every engagement is different, but the work tends to move through a few recognizable stages:
Management training, competitive landscape reviews, and readiness assessments that give a leadership team a shared, honest picture of what AI does and doesn’t do for their specific industry. The deliverable is a strategic roadmap that isn’t a vendor pitch.
Cost/benefit analysis that’s honest about both sides. Vendor evaluation against criteria that come from your business, not the vendor’s pitch. Right-sizing so your business doesn’t over-buy out of enthusiasm or under-buy out of caution.
Acceptable-use policies that staff can actually follow. Training and workshops that give teams confidence, not anxiety. Practical guardrails the organization can stand behind when questioned.
Cybersecurity assessments focused on the new risks AI tools introduce. Data-privacy issues for cloud AI services, including CCPA and GDPR compliance. Ethical-practice frameworks that hold up when challenged.
Structured AI pilots that produce evidence rather than enthusiasm, so the conversation about whether to scale is grounded in what the trial actually showed.
III Principal
David Hart founded Sweet AI Consulting in 2026, drawing on 25+ years of practice in artificial intelligence, including co-founding the OpenCog Foundation, an early effort in the open development of artificial general intelligence research. The practice pairs that technical depth with MBA-level business judgment, applied to the question every owner and executive is now asking: where AI fits in their operation, and where it doesn’t.
The practice serves SMBs, non-profits, and corporate executives across the East Bay, San Francisco, and the Peninsula, with selected remote engagements outside the region.
IV Correspondence
Sweet AI Consulting offers a complimentary first hour-long consultation, by phone or in person, with no obligation afterward. Particulars of pricing and engagement terms may be discussed at that time.