Getting AI past the pilot and into the business.
We advise organizations on where AI genuinely changes how they operate — and then do the work to get it there. Architecture, governance, and the automation that turns a manual bottleneck into a pipeline that runs itself.
Advice that comes with delivery
Most AI advice stops at the slide deck. Ours stops when the thing is running in production, monitored, and owned by your team.
AI architecture and agentic automation
Where LLMs and agent workflows belong in your operation, and where they do not. Content publishing, customer support and lead qualification are the ones that usually pay first.
Data governance and AI reliability
The unglamorous half that decides whether AI survives contact with production: data quality, prompt evaluation standards, and keeping proprietary data where it belongs.
Platform modernization
Moving legacy infrastructure to a cloud environment that scales, with the security standards that should have come with it — and the organizational change that makes it stick.
Capital efficiency
Vendor stacks accumulate. We work out what you are actually paying for, what overlaps, and how to get more engineering output per dollar spent.
We still build
The advisory work is credible because the hands stay dirty. We write production code, run the infrastructure, and ship to the app stores — so recommendations come with an honest estimate of what they cost to implement.
- AI-assisted development as a practice, not a demo
- Security hardening and deployment automation
- Test strategy that catches the regressions that actually happen
- Engagements
- Advisory, fractional leadership, and hands-on delivery
- Sectors
- Events, marketing and media — and adjacent operations-heavy businesses
- Based in
- New York, working remotely across the US
Working out where AI fits?
Tell us what the bottleneck is. We will tell you honestly whether AI is the answer — quite often it is not, and that is worth knowing before you spend.
Get in touch