Texas Health and Human Services · Government · Austin, TX · 20 weeks
AI readiness assessment completed across 8 program areas
Texas Health and Human Services wanted to evaluate AI readiness across eight programs before investing $12M in modernization. We assessed their current capabilities, uncovered $7.3M in potential automation savings, and created a clear, prioritized 24-month plan to guide implementation.
Challenge
HHSC faced a $12M AI modernization decision without clear insight into which programs could effectively use AI and which required data cleanup first. Past tech projects failed because they ignored underlying data quality issues. We delivered a simple evaluation to identify readiness gaps and prioritize foundational data work before any AI rollout.
Approach
We evaluated AI readiness in 8 program areas by measuring data quality, completeness, process documentation, staff skills, and governance maturity. We scored each area on these factors to pinpoint exact gaps blocking AI adoption. Then, we aligned $7.3M in automation opportunities with only the areas that met readiness criteria.
Outcome
We pinpointed three programs ready for AI deployment right away and five others that required 6 to 18 months of data and process improvements first. We mapped out $7.3M in automation opportunities into a 24-month plan. The agency shifted $4.2M from AI projects to foundational data work, preventing common deployment failures.
We caught the risks and gaps early, so nothing slipped through the cracks or drained the budget.
Out of the eight program areas, five had data so messy or incomplete that any AI project would’ve been dead on arrival. We caught these problems early, which saved the agency a ton of time and money chasing AI that wasn’t going to work. Spotting this upfront also kept them from making the same tech mistakes they’d run into before.
How We Dug Into Five Key Areas to See If They Were Ready
We rolled up our sleeves and dug into every program area. We checked if the data was accurate and complete, scoured the documentation, sized up the team’s skills, and looked at governance. That gave us a clear picture of where things were falling short. So, the agency knew exactly what to fix before they kicked off their AI project.
We moved our budget to the stuff that actually drives the business.
So, here’s what happened. Five programs were totally struggling because their data was all over the place. We figured the best move was to shift $4.2 million away from AI projects and put it into cleaning up that messy data first. The agency agreed right away. Meanwhile, the three programs that already had good data just went ahead and launched their AI solutions without a hitch.
Results
- $7.3M Automation opportunities identified
- 8 Program areas assessed
- 3 Areas ready for immediate AI
- 24 months Implementation roadmap
Before, our tech investments didn’t work out because the data was unreliable. Thinklytics helped us identify which programs were actually ready and which ones weren’t. Their clear, no-nonsense approach stopped us from making the same mistakes again.