We're an AI implementation firm built around a simple idea: strategy, product management, and engineering should work together from day one. Not be stitched together after the fact and hoped for the best.
The market is full of consultants who build strategy decks and leave. And vendors who hand you tools you're supposed to figure out yourself. Di-Hy does neither.
We come in, learn your business, scope the engagement properly, build the systems, integrate them into how you actually operate, and stay involved until they're performing. That's what implementation actually means — and it's rarer than it should be in this space.
We don't measure success by systems deployed. We measure it by revenue impacted, costs reduced, and capacity recovered. Every engagement starts by defining what winning looks like for you in numbers.
Amadou runs every engagement using SAFe agile methodology. That means proper scoping, sprint management, stakeholder visibility, and delivery that ships on spec. Not promises that drift when things get complicated.
Our developer builds systems that work inside your existing operations. CRM integrations, workflow connections, automation that fits how your team actually moves. Not standalone tools that create a second system nobody uses.
We're not engagement-and-exit. We monitor outcomes, optimize over time, and structure engagements around what actually moves your numbers over the long run.
Three founders. Each brings a distinct discipline. All three are engaged on every engagement.
MBA. Operator. AI strategist.
Before Di-Hy, I built systems for my own businesses and managed marketing operations at the organizational level. I navigated federal contracting compliance building Lunula Supply into an active government contractor. I know what running without the right systems actually costs — and I know what it feels like when you finally build the right ones.
I started Di-Hy because growing businesses don't need a massive AI transformation. They need a few well-placed, properly built systems that drive real revenue. We build those.
PMP. SAFe Certified Practice Consultant. Release Train Engineer. AI Product Management, Duke University. MBA, Indiana University Kelley. BS Civil Engineering, Purdue University.
I've managed AI and cybersecurity project delivery at Navy Federal Credit Union and run agile at the portfolio level at OneAmerica Financial. Before that, infrastructure engineering projects at Parsons and CDM Smith. What that background means for you is that every Di-Hy engagement is scoped properly, managed to delivery, and measured against real outcomes. Not promises that shift when things get hard.
The technical backbone of every engagement. Machine learning, AI integration, automation architecture, augmented reality, full-stack development. Two decades of building systems that work in production, not just in demos.
He builds what we scope. It ships, integrates, and performs. He prefers to stay out of the spotlight. The work is the resume.
Di-Hy is not a SaaS platform you subscribe to and figure out yourself. We're not a strategy firm that delivers a presentation and calls it done. We're not an offshore dev shop that builds to spec with no business context. And we're not a solo consultant with a LinkedIn profile and an optimistic timeline.
We're a founding team that brings strategy, product management, and engineering to every engagement. That combination is what makes AI implementations actually work.