Most organizations don’t have a shortage of AI pilots.
The real challenge is getting them governed, connected, and into production.
In this episode of Drag & Drop, Feroz Khan sits down with Scott Ditch, Principal Solutions Architect at OutSystems, to discuss what it will take for US government agencies to move beyond AI experimentation and create measurable value.
Scott shares what he is seeing across the public sector, including why many AI agents remain trapped in a “never-ending proof-of-concept state” and how disconnected projects could create the next generation of technology silos.
In this episode, you’ll learn:
➤ Why trust remains one of the biggest barriers to government AI adoption ➤ What prevents AI pilots from reaching production ➤ Why agentic systems require a different development lifecycle ➤ How agencies can govern an entire portfolio of AI systems ➤ Why human accountability remains essential in high-stakes decisions ➤ How AI can modernize decades-old government systems ➤ How organizations can preserve institutional knowledge as experienced employees retire ➤ How AI is changing the roles of developers, architects and technology teams ➤ Why one agent or one AI model cannot solve every problem ➤ How model selection and token costs affect enterprise AI architecture ➤ How agencies can adapt when AI evolves faster than procurement cycles ➤ Whether AI could eventually make traditional applications disappear
ITRAC helps organizations build Enterprise AI capability.
We support enterprise teams through:
• Specialist AI & OutSystems Talent • Enterprise AI Training & Enablement • OutSystems Training & Solutions • Enterprise AI Community
From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively.
ITRAC | Building Enterprise AI capability through talent, training and community.
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