AI Advisory
Just because it’s new and shiny doesn’t mean it’s right for you.
Lexi Holder says that about AI, and she sells AI advisory. Praxis matches AI to the use cases that pay for themselves in your business, and tells you when the honest answer is skip it.
Five questions arrive before the call.
What is AI good for in a small business?
The answer, in one paragraphAI is good at the work that repeats and follows rules: drafting the documents you write every week, summarizing what you no longer have time to read, answering questions from your own files, and carrying the administrative load that eats your evenings. Matched to the right use case, it hands you hours back. Matched to the wrong one, it is a subscription you forget to cancel.
AI has to earn its place in your business.
Each recommendation has to pass the same test: does it save your time, reduce your risk, or support your growth enough to justify what it costs? A tool that cannot pass gets left on the shelf, however good the demo looked.
Praxis sells advice and implementation, so nothing pushes Lexi toward the expensive answer. The proposal shows the use cases, the numbers behind them, and the KPIs that will measure the result at three and six months.
How AI gets matched to your business
The same discipline that runs every Praxis engagement, pointed at the noisiest category in technology.
The maturity curve, first
What you are ready for, instead of what is trendy. A five-person shop on paper invoices has a different next step than a thirty-person firm with a CRM.
Use cases, ranked by payback
We map where your hours and dollars go, then apply AI where the return is measurable. Everything else waits.
Governance before rollout
Who can touch what, which data a tool may see, and which decisions stay human. Written down before anything goes live. These are the same questions the National Institute of Standards and Technology centers in its AI Risk Management Framework, sized here for a small business.
Adoption and training
Lexi trains your team in plain English until the new tools feel routine.
KPIs at baseline, three, and six months
The numbers say whether it worked. If something misses, we course correct early.
Find the task that eats a week
The strongest use cases look ordinary: a count, a report, a reconciliation someone repeats by hand every month. The search starts there.
When the answer is skip it
Some of the most valuable advice in an AI engagement is a clear no. Four situations where you will hear one:
AI augments.
Humans decide.
- Structure precedes scale.
- Governance is not optional.
- Values override optimization.
- Cognitive clarity is a strategic advantage.
- Technology is a tool, not the solution.
- Just because it’s new and shiny doesn’t mean
it’s right for you.
Where advisory becomes amplification
Her pinnacle offeringFor leaders whose operations already run on solid ground, Praxis builds Executive Cognitive Amplification: a private, AI-enabled thinking partner shaped by your own priorities, values, decision patterns, and communication style, governed with the same discipline as every Praxis engagement.
Foundation $4,000 · Signature $8,500 · Bespoke $10,000+
Explore Cognitive AmplificationAI questions owners ask
What does an AI consultant do for a small business?
Lexi maps how your business runs, finds the work that follows rules, and matches AI tools to the use cases with measurable payback. She sets the governance guardrails, trains your team, and measures results at baseline, three months, and six months. When a use case is weak, she says skip it.
How much does AI advisory cost at Praxis?
The discovery hour is free, and the five-question agenda arrives before the call. Engagements start at $3,500, with larger advisory and implementation work priced by scope. Every proposal shows the numbers, the phasing, and the KPIs that will judge the spend before you commit to anything.
What if AI is wrong for my business right now?
Then that is the advice you get. Lexi assesses where you sit on the technical maturity curve and matches the plan to what you are ready for. Sometimes the honest recommendation is a simpler fix first: structure, a workflow change, or nothing at all this year.
Is my business data safe in AI tools?
You get the data-safety answer in writing before any tool goes live. Governance comes before rollout in every Praxis AI engagement: which data a tool is allowed to see, where it travels, who approves its output, and what stays human-only. Tools that cannot meet those terms do not get recommended.
Does Praxis train my team to use AI?
Yes. Adoption and training are part of the engagement, because a tool nobody uses is wasted spend. Lexi teaches the new workflows in plain English, at your team’s pace, and stays until the new way is the easy way. KPI checks at three and six months show whether the team is using the tools.
Have a different question? [ Ask Lexi directly → ]