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Real systems,
running daily.
Integrand Labs was founded by Andrew Flammia, a software engineer who turns repetitive work into AI systems your team relies on, so their time goes to what actually matters.
I build the part that's genuinely hard: wiring AI into the tools a company already uses, making it reliable enough to trust, and keeping a person in control of critical steps. I stay close to what the newest models can actually do, and just as close to where they fall short.
The work on this site reflects systems actually shipped, not invented case studies: a production daily trade-idea automation with a human approval loop, and an end-to-end software-delivery agent. The same approach (reliable code for the known steps, AI judgment only where it's needed, a person at the gates) is what I'd bring to your build.
I take a small number of engagements at a time, so each one gets real attention. You work directly with the person building your system, not a sales layer. And if AI isn't the right tool for what you're trying to do, I'll tell you that too.
How we work
Some work should run without you.
Some needs your judgment.
Work that should run without you
Repetitive, high-volume work on a schedule or a trigger, lead replies, order-status answers, follow-ups. We build a system that handles it, with a review-and-approve step so nothing goes out unchecked.
Work that needs your judgment
The bespoke calls that change every time and depend on your expertise. We don't box you into rigid software. We set your team up with AI properly, with real leverage on the work only they can do.
- Deterministic shell. Known steps run as plain, reliable code, cheaper and more predictable than handing everything to a model.
- Agentic core. The AI decides only at the genuinely open-ended points, where judgment based on what it just saw is the actual job.
- Human at the gates. Approvals sit at the moments that matter, so nothing irreversible happens without a person signing off.
- Known to work. Eval suites and monitoring ship with the build, so quality is measured, not assumed.