Curated analysis, reference architectures, and decision frameworks for senior IT leaders. No marketing. No fluff. Just what works.
Phased approaches, parallel environments, and cutover planning for organizations that cannot afford downtime. Based on 12 completed enterprise migrations.
Middleware topologies, API gateway architectures, and data normalization strategies for heterogeneous enterprise environments. Real patterns from real projects.
Building compliance-ready security programs from scratch. Risk assessment, control selection, policy frameworks, and audit preparation for SOC 2, HIPAA, and PIPEDA.
Strategies for modernizing systems without halting operations. Incremental refactoring, strangler fig patterns, and coexistence architectures that reduce risk.
Total cost of ownership analysis for cloud, hybrid, and on-premise architectures. Multi-year projections that account for growth, licensing, and operational overhead.
Independent technology assessments for acquisitions, investments, and strategic partnerships. We evaluate architecture, team capability, technical debt, and integration risk.
Every CTO we talk to has lived through at least one integration project that went over budget, missed its deadline, or was quietly abandoned after eighteen months of work. The pattern is so common that many organizations have stopped believing integration is even possible without replacing everything at once.
The data tells a different story. Across our project history, the average enterprise integration delivered measurable value in 7.2 months. The key variable was not the technology stack or the budget size. It was the decision framework used at the start.
The most expensive integration decision is the one that treats all systems as equal. Prioritize data that moves through the most handoffs. Fix that pipeline first, and the rest of the architecture becomes tractable.
We document three common integration topologies: hub-and-spoke for organizations with a single dominant system, bus architecture for environments with balanced data flows, and point-to-point only as a temporary measure for time-critical connections that cannot wait for a broader architecture. Each topology maps to different cost profiles, maintenance burdens, and scaling characteristics. The right choice depends on data volume, latency requirements, and the organization's internal capability to maintain the integration layer over time.
| Pattern | Best For | Time to Value | Maintenance Burden |
|---|---|---|---|
| Hub-and-Spoke | Single dominant system | 4-8 weeks | Low (centralized) |
| Bus Architecture | Balanced multi-system | 8-16 weeks | Medium (distributed) |
| Event-Driven | Real-time data needs | 6-12 weeks | Medium-High (async) |
| Data Lake | Analytics-heavy orgs | 12-24 weeks | High (storage cost) |
| Hybrid (Cloud+On-Prem) | Migrating enterprises | 8-20 weeks | Medium (complex routing) |
Computer systems design and computer integrated systems design. We specialize in Professional, Scientific, and Technical Services sector infrastructure.
Based in Cedar City, Utah. Serving clients across the United States with on-site and remote engagement models.
Every engagement starts with a diagnostic phase that produces an unambiguous written plan. No work begins without a shared understanding of scope, cost, and timeline.
Send us a one-paragraph description of your situation. We will respond with a candid assessment of whether and how we can help.