We help you turn AI into a durable capability—across your product, your teams, and your operations—so you can ship faster, measure impact, and build defensible advantage with your data.
Most AI efforts stall because the foundations aren't in place: instrumentation, data hygiene, evaluation, and ownership. We help you build those foundations and create systems your team can sustain.
Define where AI creates real user value and how to translate business goals into a measurable AI roadmap. We help you turn your unique data and workflows into durable advantage.
Upskill your engineers and product team through real applied work. We build the habits that make AI reliable in practice: data collection, metrics, evaluation, and iteration loops.
We analyze your workflows and provide strategic guidance on which processes benefit most from AI infusion—and how to structure your operating model so you can harness rapid AI innovation without being overwhelmed by it.
We combine strategy with hands-on collaboration. Every engagement is designed to produce clear deliverables, measurable outcomes, and internal capability your team can sustain.
We align with your executive sponsor(s) on business outcomes, constraints, and what success looks like. This becomes the anchor for prioritization, metrics, and decision-making.
We clarify the use cases, users, workflows, risks, and integration points. You get a shared definition of scope, assumptions, and acceptance criteria.
We assess what data you have, what's missing, and what needs to be instrumented. We identify data quality gaps and define the minimum reliable dataset to measure progress.
We create a detailed solution design: model strategy, evaluation approach, architecture, and quality gates—so implementation is predictable and measurable.
We support your team during implementation with design reviews, unblockers, and technical guidance. We help you build it the right way, without committing to owning the full implementation.
We transfer capability: playbooks, templates, code patterns, and training so the work continues without dependency.
Choose a validation-focused sprint to sharpen direction, or a deeper engagement to design and support the build of a production-grade pilot. We'll recommend the best fit after a short readiness call.
Teams that have a partially baked idea and need validation from experts—or new suggestions. This typically involves 1–2 ESGs.
Teams that want to move from concept to a production-grade pilot plan with sustained expert guidance, typically spanning 2–3 ESGs.
Leadership teams that want consistent traction and accountability without a full-time hire. Ideal for companies scaling AI or launching their journey.
If you already have an AI initiative underway, we can diagnose what's blocking it and help you course-correct.
No. We start by instrumenting the right signals and defining metrics. Many teams unlock value quickly with targeted data improvements rather than "boil the ocean" data projects.
Both. We provide strategy and work hands-on with your team through design and build support, while your team owns implementation.
We choose based on measurable requirements: latency, cost, accuracy, safety, interpretability, and the data you already have (or can realistically collect).
The Readiness & Validation Sprint produces clarity and a plan in six weeks. A deeper engagement over three months can produce a production-grade pilot design and support your team through build phases.
We prioritize maintainable design, documentation, and knowledge transfer. The goal is to build the process and internal capability that enables your team to maintain and extend the system without dependency.
Tell us what you're trying to build, what data you have, and where you're getting stuck. We'll suggest the fastest path to measurable results.
Or get in touch:
Or email directly: hello@zeroshotai.io