Cloud & AI Strategy Roadmaps
A sequenced, costed plan that connects business objectives to platform decisions — with the tradeoffs written down and the first ninety days made concrete.
Now booking Q4 architecture engagements
Cloud, Data, and AI architecture that actually ships.
For Each Group LLC is an independent consultancy for enterprises that have outgrown proofs of concept. We design the cloud platforms, data foundations, and AI systems your business case already assumed you had — and we stay until they run in production.
Cloud
Azure, AWS, and hybrid landing zones
Data
Lakehouse, warehouse, and semantic models
AI
Generative, agentic, and classical ML in production
Governance
Security, lineage, and cost accountability by design
Why For Each Group
The gap is rarely the technology. It is the architecture around it.
Most organizations do not fail at cloud, data, or AI because a platform was the wrong choice. They stall because ownership is unclear, the data model cannot answer the question being asked, security is bolted on at the end, and no one is accountable for the path from prototype to production.
For Each Group closes that gap. We work at the intersection of enterprise architecture and hands-on delivery — producing decisions you can defend to a board, artifacts your engineers can build from, and platforms your operations team can actually run.
- Senior architecture attention without a full-time executive hire
- Vendor-neutral recommendations grounded in your existing estate
- Written, reviewable artifacts — not slideware that expires on delivery
- Delivery through production, not handoff at the whiteboard
Services
Seven ways we engage
Every engagement starts with the outcome you are accountable for, then works backward to the architecture that supports it.
Enterprise Data & Analytics Architecture
Lakehouse and warehouse designs, domain models, and semantic layers that give every downstream consumer the same trustworthy numbers.
Generative AI & Agentic Systems
Retrieval, orchestration, tool use, and evaluation patterns for assistants and agents that hold up under real users and real audit questions.
MLOps & Productionization
The pipelines, registries, monitoring, and release discipline that move a model out of a notebook and keep it healthy after go-live.
Power BI, Fabric & Databricks Modernization
Hands-on across all three platforms — and the seams between them. Consolidate sprawling reports into governed semantic models over a Databricks or Fabric lakehouse, with performance and cost you can predict.
Architecture Reviews & Governance
An independent read on what you have built: risk, resilience, security posture, cost drivers, and the operating model to keep standards alive.
Fractional Chief Architect
Standing senior architecture leadership — standards, review boards, roadmap ownership, and mentorship — at a fraction of a full-time hire.
Not sure which fits?
Send us the outcome you are chasing. We will tell you which engagement is the shortest path — even when the answer is that you do not need us yet.
Talk it through →
How we work
Four phases, no mystery
You always know what is being produced, who owns it, and what it costs before the phase begins.
Discover
Interviews, estate review, and a clear-eyed read of your current environment, constraints, and the decisions already made.
Design
Target architecture, tradeoff analysis, reference patterns, and a sequenced roadmap tied to business outcomes and budget.
Deliver
Hands-on build alongside your team — landing zones, pipelines, models, and the guardrails that keep them safe.
Sustain
Runbooks, governance forums, cost review, and enablement so the platform outlives the engagement.
Founder
Rodney Elmore
Founder & Principal Architect, For Each Group LLC
Rodney founded For Each Group to give organizations direct access to senior architecture judgment — the kind usually buried three layers deep in a large systems integrator. His work spans cloud platform design, enterprise data and analytics architecture, and the productionization of AI systems, with a consistent focus on making complex platforms operable by the teams who inherit them.
He works as a hands-on principal rather than a practice manager: the person who assesses your estate is the person who designs the target state and reviews the code that gets you there. Engagements are deliberately kept few and deep, so clients get continuity instead of a rotating bench.
- Enterprise cloud architecture across Azure and AWS estates
- Data platform and analytics modernization across Databricks, Microsoft Fabric, and Power BI
- Generative AI, agentic systems, and MLOps from prototype through production
- Architecture governance, review boards, and technical mentorship
Client feedback
What clients say
Reference quotes from recent engagements.
Placeholder testimonial. Replace this paragraph with a client quote describing the problem they brought to For Each Group and the outcome they measured afterward.
Title, Company
Placeholder testimonial. A quote about architecture clarity, delivery speed, or a platform decision that saved cost works well in this position.
Title, Company
Placeholder testimonial. Consider a quote from a longer fractional chief architect engagement to show continuity and trust over time.
Title, Company
Placeholder content — swap in real, attributed client quotes before launch.
Tell us what you are trying to ship.
Send a short note, or complete the client intake form and we will come to the first conversation already understanding your environment, constraints, and timeline.