# 199: Anna Aubuchon: Moving BI workloads into LLMs and using AI to build what you used to buy

Page: https://stenobird.com/podcast/humans-of-martech-1320163/199-anna-aubuchon-moving-bi-workloads-into-llms-and-using-ai-to-build-what-you-used-to-buy
Text version: https://stenobird.com/podcast/humans-of-martech-1320163/199-anna-aubuchon-moving-bi-workloads-into-llms-and-using-ai-to-build-what-you-used-to-buy.md
Podcast: [Humans of Martech](https://stenobird.com/podcast/humans-of-martech-1320163)
Published: 2025-12-09T09:00:00+00:00
Episode link: https://humansofmartech.com/2025/12/09/199-anna-aubuchon-using-ai-to-build-what-you-used-to-buy/
Audio file: https://media.transistor.fm/d721c69d/01d643da.mp3
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JSON: https://stenobird.com/v1/public/podcasts/humans-of-martech-1320163/episodes/199-anna-aubuchon-moving-bi-workloads-into-llms-and-using-ai-to-build-what-you-used-to-buy
Duration seconds: 3581

## Resource

What’s up everyone, today we have the pleasure of sitting down with Anna Aubuchon, VP of Operations at Civic Technologies. (00:00) - Intro (01:15) - In This Episode (04:15) - How AI Flipped the Build Versus Buy Decision (07:13) - Redrawing What “Complex” Means (12:20) - Why In House AI Provides Better Economics And Control (15:33) - How to Treat AI as an Insourcing Engine (21:02) - Moving BI Workloads Out of Dashboards and Into LLMs (31:37) - Guardrails That Keep AI Querying Accurate (38:18) - Using Role Based AI Guardrails Across MCP Servers (44:43) - Ops People are Creators of Systems Rather Than Maintainers of Them (48:12) - Why Natural Language AI Lowers the Barrier for First-Time Builders (52:31) - Technical Literacy Requirements for Next Generation Operators (56:46) - Why Creative Practice Strengthens Operational Leadership Summary : AI has reshaped how operators work, and Anna lays out that shift with the clarity of someone who has rebuilt real systems under pressure. She breaks down how old build versus buy habits hold teams back, how yearly AI contracts quietly drain momentum, and how modern integrations let operators assemble powerful workflows without engineering bottlenecks. She contrasts scattered one-off AI tools with the speed that comes from shared patterns that spread across teams. Her biggest story lands hard. Civic replaced slow dashboards and long queues with orchestration that pulls every system into one conversational layer, letting people get answers in minutes instead of mornings. That speed created nerves around sensitive identity data, but tight guardrails kept the team safe without slowing anything down. Anna ends by pushing operators to think like system designers, not tool babysitters, and to build with the same clarity her daughter uses wh…

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