Build the architecture. Enable the team. Prove the value.
Enterprise AI architecture, adoption, enablement, and governance with Erica L. Miller. Practical reviews and training connect technical decisions to the work people need to do.
Free self-check. Six questions. Email required for results.
THE ARCHITECTURE REVIEW 01—03
01
DEFINE THE WORKLOADWhat are we operating?
The use case, owner and boundaries.
02
MAKE ACCESS EXPLICITWho may do what?
The caller, tools and permitted data.
03
ASK FOR THE EVIDENCEHow do we know?
The tests, telemetry and recovery plan.
A successful response is the beginning of the review.
AREAS OF FOCUSEnterprise AI architecture+AI adoption & enablement+Operational governance
ERICA L. MILLER / ENTERPRISE AI ARCHITECT
MEET ERICA
Where AI ambition meets operational reality.
Erica L. Miller is an Enterprise AI Architect with 25+ years building the infrastructure enterprises need to actually operationalize AI.
She is the founder of Emethia, an AI Governance Operations platform, and creator of the ADOPT Framework, a five-gate system for AI product validation.
Her work sits at the intersection of AI adoption, enablement, and governance. She speaks, consults, and builds at the point where AI ambition meets operational reality.
HER CORE ARGUMENT
Low AI adoption is a product development problem, not a change management one.
THE QUESTIONS BEHIND THE BOXES
Your diagram should explain the decisions.
Managed services reduce infrastructure work. Your team still needs to know where permissions are enforced, what data is available and how a failure will be investigated.
The review follows one real workload from request to outcome. Every connection needs an identity, a permission and a failure behavior.
01 / EXECUTION
Runtime boundaries, workload ownership and deployment choices.
02 / ACCESS & DATA
Identity, tenant scope, tool permissions and data entitlements.
03 / OPERATIONS
Evidence, evaluation, cost limits and recovery decisions.
WORK WITH ME
A clear next step. A defined piece of work.
Start with the workload you need to make a decision about.
PAID ENGAGEMENT
Enterprise AI Advisory Session
Bring one enterprise AI architecture decision, adoption barrier, or team enablement challenge. Leave with clear priorities and practical next steps.
01A pre-session questionnaire to focus the conversation.
02A 60-minute discussion focused on one use case or challenge.
03Clear priorities and practical next steps.
04A brief written recap after the session.
Detailed infrastructure assessments and implementation work are scoped separately.
FOR YOUR TEAM
Architecture, adoption & enablement workshops
Work through your decisions with your engineers and technical leads. Topics include AWS architecture with AgentCore and QuickSight, data readiness, AI product validation, workflow fit, team enablement, and operational governance.
IN DEVELOPMENT
Self-guided architecture tools
Templates, review worksheets and focused lessons that make the method easier to apply. Tell me which decision your team needs help with.
FREE / ARCHITECTURE EVIDENCE CHECK
What can your team actually show?
Choose one workload. Answer six questions about the evidence you have today. Enter your email after the questions to view your review priorities and request a copy by email.
This is a self-reported planning aid. It does not inspect your account or establish that a system is secure or ready for production. Your answers stay in this page until you submit your email. Submitting sends your email and assessment answers to the configured results service.
THE OUTPUT
Evidence coverage. Open decisions. A useful next conversation.
YOUR REVIEW IS READY
View your results. Keep a copy in your inbox.
Enter your email to unlock your review priorities and request an email copy.
YOUR SELF-REPORTED EVIDENCE
A starting point for your review.
Your results email has been queued. If it does not arrive, check your spam folder.
Start with these decisions
“Tested” reflects your answer, not independent verification. Keep the actual evidence with your architecture notes.
One architecture question. Enough depth to use it.
D/AiTA OPS talk connects enterprise AI architecture with adoption and enablement. Explore AWS walkthroughs, data foundations, workflow design, and the evidence behind AI that people can use. Full conversations on YouTube. Practical lessons on LinkedIn.
