The org chart got smaller. The output didn't.
AI collapsed the distance between idea and shipped software. We rebuilt the SDLC around that fact. One empowered contributor now owns design, build, QA, and deploy that used to take a five-person pod. Less coordination. More shipping.
Contract intake, automated
OCR and agentic review turn a two-week legal queue into same-day turnaround.
Spend forecasting that updates itself
Showback models recompute nightly against live cloud and SaaS usage, not a quarterly fire drill.
One integration layer, not fifty
150+ point-to-point connections collapsed into a single governed integration hub.
Tickets that triage themselves
An agent reads, tags, and routes incoming tickets before a human opens the queue.
The shift: fewer people, days not months.
Same SDLC, rebuilt around agents instead of headcount. What took a seven-person team now runs through one engineer directing agents that do the rest of the work in parallel.
Three pillars, one delivery model.
Know your maturity
A read against a real standard: where the team is ready to run on AI, and where the foundation still needs work before it can.
Prove it before you build it
Three principals, embedded for a month, ship a working prototype against your live data and hand you a board-ready plan.
Product to GTM, built as one system
Data structure, pipelines, and the AI build work that ties them together, shipped end to end instead of handed off between three separate teams.
→ Phase 0's fee is credited toward AI-Driven Development if you move forward.
The Cockpit, our own harness.
The Cockpit is an operating layer built into how the work gets shipped: frontier public and private models linked into one interface, multi-agent pipelines orchestrated end to end, every inference evaluated before it reaches a human. It runs on your infrastructure and your model accounts, and your team keeps it after we leave.
Three principals. Zero fluff.
Technology
20 years leading technology decisions: architecture, build, and the calls on what to trust in production.
Enterprise systems
Governance and enterprise systems experience. Translates the day-to-day business process into what the build actually needs to support.
Spend and strategy
The read on where investment is justified, where it isn't yet, and how procurement and vendor terms hold up under scrutiny.
Let's talk about what you're building.
We take on a small number of engagements at a time, enough to actually own the outcome instead of just advising on it.