Enterprise · Transformation arm
The enterprise arm for firms that want their own owned capability. The AI Operating Model is the flagship, and the arm also delivers digital transformation, operations redesign, and custom software and data builds. Every engagement starts from the foundation and compounds into IP you keep.
The flagship
The deepest engagement in the arm: a bespoke operating model with custom skills built for your business, that Zyos builds and operates, and that you own.
Bespoke · Build and operate · You own the IP
Not agents you rent. Zyos maps and scores the operation, codifies your people's expertise into a reusable Skills layer, builds the skills, apps, and integrations, governs the whole thing with a human in the loop, then operates it or transfers it to your team on your timeline.
Explore the AI Operating ModelFoundation-first
Process Intelligence maps and scores the operation before anything gets built, so the work is sequenced to value rather than bought as a generic package.
See the foundationThe arm also delivers
Pick a starting capability, or run the Opportunity Engine and we'll route. Most engagements touch more than one; from your side it is one team on Zyos OS.
digital transformation consulting
End to end programs from legacy operations to modern, AI-augmented workflows. Architecture-first, readiness-gated, delivered in monthly cycles. Feeds directly into an owned operating model.
operations consulting
Productize how you operate. OKR and KPI systems, Customer Success cadence, service-desk discipline, and operating-model design that turns a founder's playbook into a repeatable system.
software development · data platforms
Custom application development, data platforms, integrations, and BI, plus the managed IT underneath. Built when off-the-shelf cannot, on two decades of IT, software, and business-intelligence lineage.
How the arm engages
The enterprise arm is human-led, scoped, expert work. Where a subscription capability is the better fit, that lives in the Services line; here you build and keep your own.
Defined-scope projects with a known endpoint. Data platform implementations, single-deliverable builds, audits, and one-time architecture briefs.
Defined scope · defined endpoint
Ongoing advisory and iteration where scope evolves continuously. The default Retainer shape, "I need ongoing help."
Evolving scope · ongoing
Build-then-run engagements where the spec is intentionally incomplete at signing. Discovery happens IN the engagement, and you own the solution at exit.
Build-then-run · discovery in-engagement
Compounding deliverables
Engagement N is faster, better-measured, and more capable than the one before it, because the platform retains the IP and you keep it. That is the difference from services firms that start from zero every engagement.
