Sumaiya Shrabony
I help data, ERP, and operations teams make AI usable at work by proving the data, dashboards, and workflows it depends on.
Denver, Colorado, United States
Actions
Sumaiya Shrabony is a Technical Program Manager and BI practitioner at the University of Colorado Denver, where she manages enterprise analytics infrastructure across Azure Data Factory, SSAS Tabular models, Power BI, multiple departments, and 500+ users.
Her work sits at the point where ERP systems, data migration, BI reporting, and AI adoption either become useful or break trust. She focuses on the proof layer behind modern analytics: migrated Business Central data, finance balances, semantic models, Power BI reports, governance constraints, and AI workflows that need reliable data before they can be trusted.
Sumaiya speaks on Business Central migration proof, Power BI and Fabric reporting continuity, semantic-layer reliability, and the operator version of AI: not hype, not theory, but the version that has to survive real users, broken dashboards, anxious stakeholders, and workflows that cannot afford confident guessing. She implemented Business Central twice (BC 14 on-prem 2020, NAV to BC 16 On-Cloud 2021).
She also writes Ground Truth, a weekly newsletter on practical AI adoption in enterprise data work. Her teaching style is specific, direct, and built for practitioners who need the work to make sense by Monday morning.
Area of Expertise
Topics
Every Solo Agent Builder Eventually Reinvents a Worse Version of CI/CD
You are building CI/CD from scratch and you don't even know it yet. If you operate an agent system alone, you will independently reinvent five things that software engineering solved decades ago but badly, without realizing it, and in the exact same order every time.
If you build agents alone long enough, you will build these things in this order:
A way to test whether your agent's output is still correct after you changed something. A way to run it on a schedule and know if it failed. A way to prevent one skill's schema change from silently breaking three downstream skills. A way to roll back when today's run produces garbage. A way to validate outputs before they hit production.
You just reinvented regression testing, cron monitoring, contract testing, version control, and staging. Badly. Without realizing it.
I run a 19-skill Claude Code agent system on a bi-weekly production schedule. Content strategy, analytics, hackathon + conference proposals, all orchestrated by one person with no team, no framework, and no infra budget. Over six months, I independently rebuilt each of these five patterns in worse, more fragile, more manual forms than what software engineering solved decades ago.
This talk maps those five reinventions, shows what I actually built for each (with code), and argues that the infrastructure gap in the agent ecosystem isn't another framework. It's the equivalent of what CI/CD gave software teams in 2015: a standard, boring, reliable way to test, deploy, and roll back agent behavior.
Sumaiya Shrabony
I help data, ERP, and operations teams make AI usable at work by proving the data, dashboards, and workflows it depends on.
Denver, Colorado, United States
Actions
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top