DAIS recruits, trains, and performance-manages your AI workforce for firms in regulated, high-stakes industries. Measurable outcomes in weeks. Full auditability. No long-term contracts.
The market gives you two defaults. Buy AI-branded software and bend your operations around what it can do, one more license in a stack that already runs your business instead of the other way around. Or hire an embedded consulting team at seven figures a year and hand them your calendar.
Both shift the risk to you. We built DAIS to be neither.
AI is a tool, and it is superior to people at a specific class of work: high volumes of ingestion, classification, redaction, analysis, and output, with human review where judgment matters. The firms winning right now are not installing software. They are reshaping operations around what the tool does best. That is what we build, and we back it with terms that keep the risk on us.
Not values. Commitments you can hold us to. Every one is falsifiable, and written down.
We earn our keep every day. If the outcomes stop, so do you.
Every engagement starts with a working session and a concrete roadmap. It is yours to keep whether or not you hire us.
First working product fast, iterated rapidly, measured against benchmarks before anything scales.
Every workflow observable. Every dollar traceable. Every action auditable.
A working session, a few hours of your time. We learn your operations and where the work piles up. No charge, no pitch deck.
Concrete recommendations on where AI will and will not help your firm. Yours either way.
We do the integration and the heavy lifting, working full-time on your build, and come back with working product in rapid iterations. We need your team for a few hours a week: what the process does, where the data lives, where the output goes.
Outcomes measured against agreed benchmarks: throughput, accuracy, turnaround, recovered revenue.
We performance-manage your AI workforce as it operates: monitoring, evals, retraining, expansion into the next workflow when you are ready.
We work where the stakes are highest: regulated industries with massive volumes of documents and decisions, hard deadlines, and zero tolerance for error.
Everything we deploy runs on tooling we built and use ourselves: observability into every agent action, traceability from output back to source, evals that hold quality above human benchmarks, and security, privacy, and compliance enforced at the system level, not by policy documents. Access controls, permissions, and audit trails are embedded in the deployment itself, which is why compliance reviewers in healthcare, accounting, and government approve our work.
This is the first inning of AI in the enterprise.
You do not need to arrive knowing where AI fits your business. Most of our clients did not. Bring us the parts of your operation that hurt, and we will listen, tell you honestly what we have learned works, and hand you a roadmap. What you do with it is up to you.
We build and run AI workflows for your firm. We handle the technology end to end: design, deployment, monitoring, evaluation, and improvement. You get outcomes, measured against benchmarks you agree to, without hiring AI specialists or managing infrastructure.
Software makes your business adapt to it. We do the opposite: we study how your operation actually runs and build the workflow around it. And because there are no long-term contracts, the burden of staying valuable is on us, not on you.
A few hours upfront for the working session, then a few hours a week during build. We carry the integration and work on your build full-time; from your team we only need to understand what the process does and where data comes from and goes. Nobody comes off their day job.
Access controls, permissions, audit trails, and approval steps are enforced at the system level in every deployment. We are SOC 2 Type II certified and operate inside HIPAA-compliant infrastructure where required.
No. We route work to whichever models perform best and swap them as the field evolves. You never rebuild anything when a better model ships.
That is the normal starting point. The working session exists for exactly this, and the roadmap is yours whether or not we work together.