Technology Intelligence for Complex Systems
Rob Blanzy
Blanzy Consulting combines more than 30 years of architecture, cloud, security, migration, and platform experience with AI-assisted analysis, active engineering, and evidence-backed operational intelligence.
30+ years in technologyFormer AWS Technical Account ManagerFortune 20 advisory experienceEnterprise migration strategy at scale
Expertise / 01—04
Blanzy Consulting helps organizations understand what they have, decide what should change, and maintain a defensible record of why.
Establish what is actually happening across a complex technology environment. Connect architecture, evidence, dependencies, risks, and decisions so leaders can separate verified facts from assumptions and gaps.
Design and evaluate systems spanning cloud, security, data, AI, networks, local infrastructure, and networked intelligence. Focus on how the whole system behaves, evolves, and fails—not isolated technology choices.
Move from the current operating reality to a better one without losing control of risk, continuity, or technical intent across cloud, platform, data, security, and legacy systems.
Use AI as part of engineering and decision-making—not as a decorative feature. Design human-AI workflows, model and agent controls, evidence capture, and appropriate deployment patterns.
Blanzy Atlas
Atlas is a local-first engineering intelligence system created by Blanzy Labs. It connects projects, components, repositories, evidence, findings, decisions, and historical observations into an inspectable operational record.
Current capability
Atlas currently imports structured project manifests, inspects local Git repositories without executing their code, indexes Markdown evidence, records scan history, and produces deterministic evidence-backed status views.
Atlas supports the Blanzy Consulting approach by preserving system context, evidence, decisions, and change history throughout an engagement.
Built by Blanzy Labs
Atlas and AI do not replace experience. They make decades of judgment more persistent, scalable, inspectable, and reusable.
Blanzy Consulting provides accountable human architecture and decision leadership. AI assists analysis and engineering; Atlas supports memory, evidence, traceability, and status inspection.
The result is a consulting model that preserves context across time, exposes uncertainty, and supports decisions with inspectable evidence rather than relying on the latest meeting, dashboard, or presentation.
Method / 01—06
Six steps connect observation, decisions, engineering action, and validation while preserving evidence throughout the engagement.
Establish what exists now through architecture material, repositories, operational evidence, interviews, and direct inspection.
Map systems, teams, dependencies, decisions, constraints, risks, and evidence.
Separate verified facts, assumptions, contradictions, missing evidence, and emerging concerns.
Record explicit technology decisions, rationale, alternatives, ownership, and consequences.
Turn decisions and findings into sequenced action while maintaining the operational record.
Confirm whether intended results were achieved and retain the supporting evidence.
Evidence / Selected Impact
Factual outcomes from architecture, cloud, security, migration, operational, and commercial work across more than three decades.
More than a year providing architecture and migration leadership for a complex big-data platform modernization within a regulated financial-services environment.
Led infrastructure-modernization initiatives projected to save more than $20 million.
Reduced one AWS customer environment from approximately 3,000 instances to 500.
Advised global customers ranging from Fortune 20 enterprises to high-growth startups on cloud architecture, resilience, operations, adoption, and transformation.
Created Infrastructure Event Management while serving as an AWS Technical Account Manager, establishing a new service for planning and supporting critical customer events.
Built and led a Google Cloud security practice.
Experience / Current Practice
The value is not experience alone, nor AI alone. It is the combination of seasoned judgment, current engineering, and systems that preserve evidence and context.
More than 30 years across architecture, cloud, security, data, migration, and platform engineering provides pattern recognition across technology cycles.
Current work through Blanzy Labs keeps architecture advice connected to systems, tools, AI-assisted workflows, and operating models being built now.
AI-assisted analysis and Atlas preserve evidence, decisions, context, and history so judgment can remain inspectable and reusable.
Rob retains accountable human architecture and decision leadership from current-state assessment through system evolution and validation.
In Practice / Current Work
Blanzy Labs is the active engineering and incubation environment where new systems, tools, and operating models are built and tested.
Research and engineering / Mythadis
Mythadis is an active research and engineering program exploring coordination infrastructure for collective intelligence—connecting humans, AI systems, data, compute, storage, validation, and mission orchestration. This work informs Blanzy Consulting’s approach to networked intelligence systems, resilient architecture, AI coordination, local-first systems, and complex operational environments.
Explore MythadisActive engineering / Blanzy Labs
Blanzy Labs develops Atlas, supports Mythadis, and explores AI-assisted workflows, demonstrating that Blanzy Consulting remains connected to current hands-on engineering.
View Blanzy Labs on GitHubPrompt & Circumstance Studio
An AI-assisted production and collaboration environment coordinating human hosts, multiple AI systems, audio workflows, and structured production tooling.
Career / Selected Organizations
Rob Blanzy brings more than 30 years of experience across architecture, cloud, security, data, migration, and platform engineering. That experience is combined with current hands-on work, AI-assisted analysis, and Atlas rather than treated as a static catalogue of past roles.
Engagements / 01—04
Different situations require different levels of involvement. Start with the challenge: establish the current reality, test an important decision, lead a system through change, or maintain independent intelligence across several initiatives.
A focused examination of the current environment, evidence, dependencies, contradictions, risks, and decision gaps.
Best when
Different teams have conflicting views of the current environment, evidence is fragmented, or leadership lacks a trusted current-state picture.
Focus areas
Independent analysis of a proposed architecture, platform, migration, AI initiative, or consequential technical decision.
Best when
A major architecture, platform, migration, security, or AI decision needs independent challenge before significant commitment.
Focus areas
Architecture leadership through a significant cloud, platform, security, data, AI, or networked-system evolution.
Best when
The required change is understood, but the organization needs architecture leadership to sequence decisions and maintain technical intent through execution.
Focus areas
Ongoing independent architecture, decision, evidence, and risk support for organizations managing multiple complex initiatives. Continuous support for environments too complex for periodic assessments alone.
Best when
Several complex initiatives need continuing independent context, decision continuity, evidence tracking, and risk oversight.
Focus areas
Begin a conversation
Share the system, decision, or program that needs clarity. The first conversation will focus on the current reality, the evidence available, and the outcome that matters.
Discuss a Technology Challenge