We bring together the best of strategy consulting, technology product management, and human-centered design into a single integrated practice. Not as separate workstreams handed off in sequence — but as one embedded team, designing systems for your business and the people inside it, from first principles to production.
Two weeks. Fixed price. A working proof of concept built inside your environment — not a sandbox, not a demo. Enough to make a confident decision before committing to anything more.
We map your data infrastructure, operational workflows, and organizational readiness. We're looking for two things: where AI can move a meaningful metric, and where it will actually stick.
We identify your highest-impact AI opportunities — ranked by feasibility, speed to value, and P&L impact. No technology for its own sake. Every use case is tied to a specific business outcome.
We build a working proof of concept in your actual environment. Not a slide. Not a prototype. Something that runs on your data and demonstrates the result before you commit to building it for real.
What you walk away with:
The Discovery Sprint is designed to give you enough information to make a confident decision — not to create dependency. If the proof of concept doesn't convince you, the engagement ends here. No obligation, no pressure, no open-ended invoice.
Implementation fails when it becomes a handoff. A document arrives, a junior team takes over, and the system that worked in the Sprint quietly dies before it reaches production. We built our engagement model to prevent exactly that.
Every implementation is scoped with clear milestones and fixed deliverables before we begin. You know exactly what gets built, when it gets built, and what success looks like at each stage — no moving goalposts, no scope surprises.
Our team works alongside yours from day one. We don't send recommendations from a distance. We sit inside the problem — learning how your operation actually runs, designing systems around the people who use them, and making sure your team can operate what we build without us.
We have one definition of done: it runs in production, your team uses it, and it moves the metric we agreed on at the start. Everything before that is work in progress. We don't celebrate a demo. We celebrate a system that runs.
Typically 6–12 weeks depending on scope. Scoped and fixed before we begin.
We stay until it works. And for the companies ready to go further, we scale what's working — across the operation, or across the portfolio — with the same embedded team that built it.
Every use case we build becomes a foundation for the next. The demand forecasting model informs the inventory system. The inventory system feeds the fulfillment logic. The systems compound — and as your business grows, so does their impact. We continue expanding AI capability across your operation, with full context of what's already running and why.
The first PortCo engagement produces more than results — it produces a playbook. A repeatable methodology, adapted to each company's context, that can be deployed across your portfolio. Consistent delivery, measurable EBITDA impact, and a portfolio-wide AI narrative that strengthens exit valuations. One success, multiplied.
No scope creep. No dependency by design. Just a system that works, a team that owns it, and a partner ready to scale when you are.
We do our best work with companies that have a real operational problem, a leadership team willing to be honest about what's broken, and the organizational will to change how something works — not just add a tool on top of it.
We're not the right fit for companies looking for a quick demo, a strategy deck, or an AI audit with no path to execution.
If you're ready to build something that runs in production and moves a metric that matters, we should talk.
The Discovery Sprint is the lowest-risk way to find out what AI can actually do for your business. Fixed price. Your environment. A real result — not a presentation.