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To Stupid Too QuitTyler McDaniel

AI in your business, on purpose, not on hype.

Where AI actually helps your business, what to ignore, what to pilot, and how to do it without leaking customer data. Backed by 9 IBM digital badges in watsonx.ai, RPA, MLOps, and AI governance.

Where small businesses get stuck on AI.

  • 01

    Vendor pitches sound the same. Every tool claims to change everything, and nobody explains the first five steps.

  • 02

    You tried ChatGPT for a few tasks and got mixed results. Without process around it, the wins do not compound.

  • 03

    You are unsure what data is safe to send to which tool, and what your obligations are around customer information.

  • 04

    You do not want to spend on a generic strategy deck. You want a short list of things worth piloting and what each one would cost.

What ships, in plain English.

Deliverables

  • AI readiness assessment: your systems, data, processes, and team capacity
  • Top 3 AI use cases specific to your business, ranked by return and risk
  • Tool-selection guidance across IBM watsonx, open-source, and commercial options, matched to budget
  • Pilot build of one use case, end-to-end
  • A data-handling and governance checklist your team can actually follow
  • A written 6 to 12 month roadmap with stop/go gates

AI readiness starts with a flat-fee assessment. Implementation is scoped separately. Where it fits, IBM watsonx tooling is available at partner pricing.

How this engagement runs.

  1. 01

    Assess

    I review your systems, data, processes, and team capacity. We talk about goals, constraints, and what is genuinely off the table.

  2. 02

    Rank

    Three concrete use cases scored on return, effort, and risk. You leave the assessment with a written ranking, even if we never build anything.

  3. 03

    Pilot

    We pick one. I build it on the right tool for your scale, with logging, a governance checklist, and a kill switch.

  4. 04

    Roadmap

    A 6 to 12 month plan, with stop/go gates, so the next steps are obvious and you are not locked into anything.

Common questions

Do I need IBM watsonx specifically?
No. Most small business AI work is better served by lighter tooling. I have IBM partner access where it fits, and I will tell you when something simpler is the right call.
What about my customer data?
That is part of the engagement. I deliver a data-handling and governance checklist, plus opinionated guidance on which tools see what data. I am not a lawyer, but I will be very clear about the questions to ask one if your industry is regulated.
Will the pilot actually go to production?
Sometimes. The point of a pilot is to learn cheaply. About one in two pilots I have seen graduate to production. The other half teach you a clear no, which is also valuable.
Is this a one-time engagement or ongoing?
Assessment is one-time. Implementation is project-priced. Some clients move into a Technical Partner Retainer afterward to keep AI tooling maintained as it changes, which it will.

Want me to look at yours?

Free 30-minute audit. I'll tell you straight what would move the needle and whether this engagement is the right fit.