AI that shows its work.

MaxAIs designs, builds and monitors practical AI for small and mid-sized businesses: automations, assistants and predictive models you can measure, explain and trust.

Led by Howard, a PhD data scientist in Orange County, California, serving clients across the US and internationally.

No-show risk for tomorrow, 9:30 AM

New patient visit, family practice

34%

Likely range 28% to 41%

Why the model thinks so

  • Booked more than 3 weeks ahead +12
  • Two missed visits in the past year +9
  • Monday morning slot +4
  • Confirmed by text yesterday −8

Suggested next step

Send a personal reminder this afternoon and offer the 8:45 opening on Thursday.

Illustrative example. Every prediction we deploy carries its reasons, a range and an audit log your staff can review.

Most AI projects stall for the same three reasons.

No clear question
The tool is bought before anyone agrees on what it should improve. We start with one measurable goal.
Nobody checks if it works
Vendor demos are not your data. We test on your real cases and report accuracy in plain numbers.
Nobody owns it after launch
AI drifts as your business changes. We monitor it and fix it before it costs you.

Built with the discipline of clinical AI.

Howard also founded VitalCKM, a clinical intelligence platform that predicts cardiovascular, kidney and metabolic risk for clinicians and health systems. In healthcare, a model has to be accurate, explain itself and leave an audit trail. MaxAIs brings that same standard to everyday business AI.

  • Measured

    Every system has an agreed success metric and a report that tracks it.

  • Explainable

    Predictions come with the reasons behind them, in language your staff can use.

  • Accountable

    A person approves what matters, and every automated action is logged.

  • Private

    Your data is never used to train anyone else's models.

How a project runs

Small steps, real data, and a decision point after each one. You never pay for a big build before you have seen it work.

  1. Assess

    We sit with the people who do the work, map the process and agree on the number that defines success: hours saved, calls answered, errors caught.

  2. Pilot

    A small working version on your own data in two to four weeks. You see real results before committing to a full build.

  3. Launch

    We connect it to the tools your team already uses, test it against real cases, train your staff and document everything.

  4. Monitor

    Accuracy, usage and results are tracked every month. When the numbers drift, we fix it before it costs you.

Three ways to work together

Clear scope and pricing up front. No long contracts.

AI readiness assessment

From $1,500

fixed fee, 2 to 3 weeks

The right first step for most businesses. We find where AI will pay off and where it will not.

  • Interviews with the people who do the work
  • Your top three opportunities, ranked by return
  • Data, privacy and risk review
  • A 90-day plan you can run with or without us
Start with an assessment

Build projects

From $7,500

scoped and quoted up front

We design, build and launch one system at a time, starting with a pilot on your own data.

  • Agreed success metrics before we start
  • Working demo every two weeks
  • Testing on your real examples before launch
  • Staff training and written handover
Discuss a project

Managed AI

From $750 / month

monthly, cancel anytime

AI systems need care after launch. We watch them, tune them and report on what they deliver.

  • Accuracy and drift monitoring
  • Monthly results report
  • Prompt, model and workflow updates
  • Priority support from the team that built it
Ask about managed AI

You work directly with Howard.

No hand-off to a junior account manager. The PhD data scientist who scopes your project is the one who designs it, checks the numbers and answers your call when something needs attention.

Based in Orange County, so local clients can meet in person. Remote engagements run on the same process for clients across the US and abroad.

More about Howard

Insights

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Have a process that should be running itself?

Tell us what takes too long or goes wrong too often. Within one business day you will get a plain-English reply on whether AI can help, how we would approach it and what it would cost.