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PROCESS IN at an AI conference: products that use AI, not slides that promise it
Our team joined a regional AI conference to share how we embed AI into real product workflows — assistants, automation, and decision support that survive production.
Members of the PROCESS IN team joined a regional AI conference to exchange notes with builders, operators, and investors who care about AI that reaches production — assistants, automation, ranking, and decision support wired into real products.
Our contribution was deliberately unglamorous: how we scope AI features, where models belong in the stack, how we evaluate quality with domain experts, and how we keep costs and latency under control after launch.
What we shared on stage and in hallway talks
- AI as a product capability, not a separate “innovation lab” slide
- Human-in-the-loop patterns for regulated or high-stakes workflows
- Data readiness: without clean events and ownership, models underperform
- Team shape: product, engineering, and domain experts shipping together
Why we show up
Conferences keep our team sharp and keep PROCESS IN visible among peers who are also building. They also create conversations that later become partnerships — when someone needs a team that has already shipped AI inside SaaS and operational platforms.
Quick answers
Who attended? PROCESS IN product and engineering team members.
What was the focus? Practical AI inside products — delivery, evaluation, and operations.
Want to explore AI in your product? Start with a scoped use case and a measurable outcome — we can help map the path from idea to production.
