Skip to main content
Zyos Group

Consulting · Software & Data

We build software. We instrument data. We integrate the stack.

The build practice: custom applications, AI agent development, data platforms, integrations, and BI, on two decades of IT, software, and business-intelligence lineage.

System topology

The fabric Zyos integrates and the layer Zyos OS adds on top.

Most agentic-AI consulting firms are configurators, they assemble Salesforce + HubSpot + Snowflake + a vendor's agent platform. Zyos builds when building is the right answer.

System connections · Mid-market SaaS

CRMBilling + paymentsSupportProduct appData warehouseZyos OSEngagement KanbanQBR + OKR trackerAgent fleet
System topology, Zyos integrates the stack and runs agents across all of it. Pick an industry to see how the fabric shifts.

Build vs configure

The call we make deliberately, on the merits.

We build when…

  • Off-the-shelf can't do what your workflow needs (custom intake-to-quote, custom agent runtime, custom member portal)
  • Integration glue is the actual value, connecting systems that don't ship integrations
  • Your IP is the differentiator and configuring someone else's tool would dilute it
  • Compliance + ownership boundaries require code you can audit and own

We integrate when…

  • A best-of-breed tool exists and the build-vs-buy math is clear
  • Your stack already has 80% of what's needed and the remaining 20% is connector work
  • Speed-to-value matters more than IP ownership for this surface
  • We can integrate cleanly without burying you in vendor lock-in

System builds + implementations

Anonymized engagements across the Build / Implement / Both spectrum.

Toggle each card between before-and-after architectures. Real engagement shapes; identifying data anonymized.

Mid-market SaaS · $50M ARR

Build

Built a custom intake-to-quote application replacing four disconnected sales tools.

Architecture · after

−23% deal cycle · +18 NPS for AEs

Professional services · 180 staff

Both

Implemented the AMS + practice-management stack; built the agent layer that runs across both.

Architecture · after

−42% Tier-1 ticket time · audit-ready trail

Association · 12K members

Both

Built the member-facing portal + integrated it with the AMS and LMS.

Architecture · after

+22% member portal engagement · clean privacy boundaries

SMB services (GaaS) · Local trades

Build

Built the customer-site template; operate the entire growth stack on Zyos OS.

Architecture · after

+340K ARR (anonymized) · 6-month window

Regulated mid-market · Healthcare-adjacent

Both

Built the data instrumentation layer + ownership matrix; implemented HIPAA-aware connectors.

Architecture · after

−$2.3M risk exposure · audit packet shippable in 1 day

B2B services · Series A

Build

Built a custom Outbound + ABM agent runtime on the Foundational AI Layer.

Architecture · after

Reply rate 1.8% → 6.2% · pipeline coverage +2.1x

Proof concrete

ZyosApp ships weekly. The Foundational AI Layer runs agents in production. The customer-site template powers live GaaS engagements.

When we say we build, the proof is the working software, not the slide deck.

ZyosApp

Internal operating system shipped weekly. Runs every customer engagement end-to-end.

Foundational AI Layer

Agent runtime + orchestration + observability + multi-tenant isolation. Powers AaaS + GaaS on the same platform.

Customer-site template

Astro + Tailwind v4. Config-driven. One file per customer. Auto-deployed.

Software & Data, FAQ

What buyers ask about custom builds + AI agent development.

Lifted from prospect calls. Published as FAQ schema for AI Overviews and answer engines.

Does Zyos build custom software, or just integrate existing tools?

Both, on the merits. Zyos builds when off-the-shelf can't do what the workflow needs, when the integration glue is the actual value, when your IP is the differentiator, or when compliance requires code you can audit and own. When a best-of-breed tool is the right answer, Zyos integrates cleanly instead of building for its own sake.

What is AI agent development?

Designing and building the agents, the runtime, orchestration, tool integrations, and observability, that operate real work in production, not a chatbot demo. Zyos's Foundational AI Layer runs agents under multi-tenant isolation today; AI agent development is building that capability into a customer's own stack.

What's the proof that Zyos can actually build?

The working software. ZyosApp, the operating system that runs every engagement, ships weekly. The Foundational AI Layer runs agents in production. The Astro + Tailwind customer-site template powers live Growth as a Service engagements. The proof is shipped software, not a slide deck.

How do you decide build vs buy?

Deliberately, documented in the Solution Architecture brief. Build when the workflow, IP, or compliance demands it; integrate when a tool covers 80% and the rest is connector work and speed-to-value matters more than ownership. Either way we avoid burying you in vendor lock-in.

Build the right thing the right way

Start with a measurement.

The Opportunity Engine intake tells you whether your project is Fixed Price or Retainer shape, and whether a Build & Operate wrapper is the right fit when discovery is going to happen IN the engagement.