Most firms will sell you a strategy or sell you code. We do both, figuring out where AI actually fits in your business, then building and shipping it.
Your board is asking. Your competitors are announcing pilots. Internally, you've had a dozen conversations and zero shipped projects. You need someone to come in, look at how you actually operate, and tell you where AI is worth the investment, and where it isn't.
The demo worked. The proof of concept was promising. Then it stalled, for technical reasons, organizational reasons, or both. You need a partner who can diagnose what went wrong and actually ship the next version.
Employees are pasting customer data into consumer tools because no one has given them a sanctioned alternative. You need an AI strategy that's secure, useful, and that your team will actually adopt.
You've already done the strategy work. You have a roadmap. What you don't have is an in-house team with the engineering chops to ship production-grade AI software on a reasonable timeline. That's where we come in.
This track record is why our AI recommendations actually ship, we've spent a decade learning what production software needs to survive contact with real users.
Most AI projects fail because they get pointed at the wrong problem. Before we build anything, we find the ones worth solving.
We talk to leadership, frontline teams, and the people stuck doing the most repetitive work. The best AI opportunities usually surface in the gap between what executives think happens and what actually happens.
We document how work moves through your organization today, where the friction is, and what data exists at each step.
Sometimes the right answer is a custom build. Sometimes it's an off-the-shelf tool. Sometimes it's holding off until the technology matures. We tell you which is which.
Every AI use case we identified, scored on impact, feasibility, and effort.
Specific projects, sequenced by what to build first and why.
Realistic numbers, not consulting-deck fantasy.
What gets built, how it integrates with existing systems, and what your team needs to maintain it.
You'll get a concrete plan from this that you can take to the next phase with us or run with yourself.
This is where most AI engagements stall out. We take the roadmap, ours or yours, and turn it into production software your team actually uses.
We turn the roadmap into a buildable plan: scope, high-fidelity prototype, architecture, model choices, and milestones, all agreed up front.
Senior engineers shipping in tight cycles, using Claude Code and similar tools as part of how we build. Demos every week so we stay aligned with what your team needs.
Evals, monitoring, prompt safety, error handling, and access controls are part of the build from week one.
Working AI software running in production, used by real customers and your team.
Clean, documented code your engineers can maintain and extend without depending on us forever.
Fixed-scope sprints with clear milestones. You know what's shipping each week and what it costs.
We agree on what success looks like before we start, and instrument the build so you can see whether it's working.
Already have a roadmap? Skip Phase 1. We can start building as soon as we agree on scope.
Every engagement is custom, but these are the patterns we see most often.
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Incoming customer orders and vendor invoices turned into clean records in your existing ERP. Extraction, matching, and coding, with human review only where it matters.
AI assistants embedded in the tools your team already uses. Sales reps that get instant proposal drafts. Support teams that find answers faster. Ops teams that stop copy-pasting between systems.
tickets resolved without escalation
AI that handles the repetitive 60% of tickets, escalates the hard ones to humans with full context, and gets smarter as it goes.
Embedded intelligence: search that understands intent, summaries that save time, recommendations that drive engagement. Built into the product your customers already use.
Multi-step automations that move work between systems (research, draft, route, follow up) with human approval at the checkpoints that matter.
Natural-language access to your business data. Ask a question, get a chart. No more waiting on the analytics team for every ad-hoc request.
A 30-minute scoping call is the easiest way to start. We'll ask about what you're trying to solve, share what we'd recommend, and tell you whether we're the right fit. No pressure either way.