AI applications and advisory for business
AI software that holds up in business.
AppVantix designs and builds AI applications, and helps companies decide where AI is worth using. Every project ends with something you can check: tests on data we did not tune on, a data-flow diagram, and a plain list of what the system cannot do.
- 1SpecificationWhat it must do, and what it must never do.
- 2EvaluationTested on data we did not tune on, with the misses reported.
- 3Data flowWhere your information goes, drawn and checked.
- 4HandoverCode, tests and a runbook that you own.
What we do
Build it, decide on it, or buy ours.
AI applications for one job
Internal assistants over your documents and systems, workflow automation, search and triage tools, and integrations with what you already run.
A clear answer on where AI fits
Use-case review, build or buy, vendor and risk review, and evaluation design, so a decision rests on evidence and not on a demo.
Software we run ourselves
Starting with Looking Glass for SAP, a desktop tool for SAP support teams, now in private beta with companies.
How we build
Five rules we do not bend.
Specify before building
We write down what it must do, and what it must never do, before any code.
Test on data we did not tune on
Test sets are kept apart from tuning. We report the real numbers, including the misses.
AI proposes, rules decide
Anything that changes data or money passes a deterministic gate and a person’s confirmation.
Keep data where you say
We map every place your data goes, and send nothing to a model provider without your agreement.
Say what it cannot do
Every handover lists limits, untested areas and open risks.
A worked example
Our own product, checked in public.
We have no client names to show yet, and we will not invent any. Instead, here is how those rules look on something we built and ship ourselves.
Looking Glass finds the right SAP screen from plain words and opens it with the document number filled in. It never saves or posts anything, and it makes no network requests of its own.
Honest about it: it has been tested against a stand-in for SAP. The first results on a real SAP system come from the beta.
Working with us
Start small, stop whenever it stops making sense.
A short, paid, fixed-scope look
One problem, studied properly. It ends with a written brief, an evaluation plan and a quote.
Delivered in small steps
A scoped application with tests at each step, so you see it working early and can change course.
After handover
Fixes, monitoring and changes on a monthly basis, if you want them.
We quote after discovery and state the price before work starts. We do not charge for the first conversation.
Questions
Straight answers.
Do you train models on our data?
No. When a project needs a model provider, we use terms under which your data is not used for training, and we tell you which provider before any of your data is sent.
Do you have clients we can ask?
Not yet to name. Our worked example is our own product, and we say so. If we ever publish a client’s name, it will be with their written permission.
Which models do you use?
We choose per project, from cloud models from providers such as Anthropic to open models that run on your own infrastructure, and write the choice into the data-flow diagram.
Do you use AI to build?
Yes, and we say so. We use AI coding tools in our own work. What we rely on is a written specification and tests that run before every release, not trust in any tool.
What do you not do?
We do not sell hype, guarantee savings, or build anything that acts on money or records without a confirmation step.
Where are you?
Lawrenceburg, Tennessee. We work with businesses across the United States.
Start here
Tell us the problem.
A short note is enough. We reply within two business days, and the first conversation is free.