01AI Consulting
2–4 weeks
Find the right first move before you build.
Start here when the opportunity is real but the right place to begin is still unclear. We get close to the business, find where AI can actually help, and name the first move worth executing.
- Too many possible AI use cases and no clear priority
- Leadership buy-in, but no practical first move
- A team that needs clarity before anything gets built
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02AI Automation
4–8 weeks
Turn a painful manual process into a system your team actually uses.
The right path when the bottleneck is already visible and you mainly need the solution scoped, built, and implemented. Not automation for its own sake — removing drag so the work runs better.
- Repetitive, admin-heavy work
- Reporting or follow-up that eats time every week
- Intake, onboarding, or support that stays too manual
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03AI Enablement
1–3 weeks
Get your team fluent enough to use AI well, every day.
The right path when the tools are available but the habits, confidence, and role-specific usage aren’t. We help people use AI in ways that are practical, useful, and grounded in real work.
- A team has access to AI tools but isn’t using them well
- Leaders want employees to become more AI-capable
- Operators want practical ways to use AI day-to-day
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04AI Engineering
Scoped to the build
Bring in AI engineers to build the thing the business needs.
The right path when you know something should be built and need a technical team to shape it, pressure-test it, and make it real. Not more ideas in a doc — execution.
- An internal tool would save the team time
- A product needs a new AI feature or capability
- A business-specific system needs to be built from scratch
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