On October 8, Insi and Panaya, in partnership with the Brazil-Texas Chamber of Commerce (BRATECC), hosted a private executive lunch at 51fifteen at The Galleria in Houston. The session brought together senior technology and transformation leaders for a working conversation on a problem every enterprise is now facing: AI has made building software fast. Has checking it kept up?
If you couldn't attend, or want to revisit the key points, here's a full recap of what was covered.
The problem: building got fast, checking didn't
Gustavo Couto, Head of Tech Solutions at Insi, opened with a familiar story: a team ships something quickly, everything works at first, and six weeks later something unexpected breaks.
That story is becoming the norm. AI tools have collapsed the cost of building software: automations, integrations, and AI-generated solutions that used to take weeks now ship in hours or days. The old pipeline, where build and review moved at roughly the same pace, no longer reflects how most companies operate.
Four patterns showing up across global companies
Gustavo Couto walked through patterns he's being seeing at clients repeatedly, especially in companies operating across multiple countries, changes arriving faster than governance processes can absorb them, built by more people (and more agents) than before.
The result is what they called the compliance gap: a widening distance between how fast things get built and how fast they get checked.
When teams hit that gap, one of two things happens:
- The gate holds. Someone builds something in a day and waits eight weeks for review. People get frustrated and start working around the process.
- The gate gives way. Nothing can keep up, so changes go live without being properly checked, just with official permission.
Either way, the ERP makes this harder, not easier: it's the system of record for the business, so unchecked change there carries outsized risk.
Four things that have to become automatic
The core argument of the session: the fix isn't slowing down AI-driven building, it's making compliance keep pace with it. Four capabilities that used to depend on a person with a checklist now have to run as automated systems:
- Know what changed
- Know what it touches
- Test what matters, continuously
- Keep the evidence
When those four run automatically, building and checking stop being sequential stages and start operating as one continuous loop: AI building on one side, automated checking on the other, both running at the same speed.
The payoff, per the data Panaya shared from its platform: companies doing this see up to 85% faster test cycles, 30–50% less QA effort, and 72% fewer post-go-live issues.
How it works in practice
Srinivas walked through the mechanics using the Panaya platform: AI scans every change in the transport, maps the business processes it touches, and generates a scoped test plan, so teams test only what's actually at risk instead of re-testing everything out of caution.
The session closed with a live demo of change impact analysis, showing, end to end, how a single transport change gets scoped, mapped to affected processes, and turned into a precise test plan in minutes rather than weeks.
Three questions you can ask next week
One of the most practical takeaways: you don't need to be technical to start closing the compliance gap in your own organization.
The speakers left attendees with three questions anyone can ask their teams next week to find out where the gap exists today.
If you attended, you have these; if you'd like them recapped, reach out and we'll walk you through them.
The bigger picture
Faster building isn't the risk. Building without checking is. Companies that pair AI-speed development with AI-speed governance get more innovation, fewer surprises, and higher confidence in every change that reaches production, without adding headcount to the review queue.
Didn't make it to Houston?
Keep an eye out for more Insi events.
Get in touch to learn more about continuous compliance for your ERP, or to be included in the next session.
Event hosted by Insi and Panaya, in partnership with BRATECC.
