Talking AI

Tiago Azevedo is the CIO of OutSystems, one of the largest low-code development platforms in the world. In this episode, he sits down with Matt Paige to talk about what it actually looks like to lead through the chaos of enterprise AI adoption, why the old playbook of re-architecting legacy systems is dead, and how his team is building agentic solutions that bypass the mess instead of trying to fix it.
Tiago shares his philosophy that saying no to AI is the easy path, and that the real job of a CIO is to open the doors while learning to manage the risk. He breaks down why everything that isn't agentic is already legacy work, how his team uses AI to figure out where AI fits, and why companies should stop adding more fields and screens to broken systems and start building agents that do the work.
The conversation also covers OutSystems' latest launch, OutSystems Mentor, which brings natural language vibe coding into the platform so users can describe what they want and build it conversationally. Tiago explains the architecture behind it, including how the platform combines probabilistic AI with deterministic code generation, one-click deployment, and built-in enterprise integrations.
The episode closes with Tiago's advice for overwhelmed CIOs: identify the biggest problem your company needs to solve, feed it to an LLM with as much context as possible, and iterate from there. Think big, start small, scale fast.
In this episode, you'll hear about:
How Tiago approaches change management and AI adoption across a large organization. Why he believes everything non-agentic is already legacy. The "agents over apps" philosophy and what it means for enterprise systems. How OutSystems built Deal Mate, a team of agents that prepares sales reps for meetings. Why OutSystems achieved 40% automation in customer service after AI, up from under 10% before. The launch of OutSystems Mentor and what natural language app-building looks like inside the platform. The gap between a wow demo and enterprise-grade production. Why CIOs should try everything but be careful with divergence. Tiago's "think big, start small, scale fast" framework for AI transformation.
Key Moments:
01:17 — Tiago on the pace of change and what makes this moment unlike anything before
06:20 — "Saying no is the easiest solution — managing the risk is the hard part"
07:49 — Bypass the mess: why agents fill the gaps legacy modernization never could
09:10 — "Everything that is not agentic is literally legacy work"
10:15 — Use AI to figure out where AI fits: the meta approach to use cases
11:30 — Deal Mate: the team of agents that prepares sales reps for meetings
15:07 — "We were adding more fields to Salesforce when we should've been building agents"
16:25 — Mark Zuckerberg building an agent to do his job
17:23 — OutSystems' 20-year journey from visual development to agentic systems engineering
19:58 — The deterministic magic behind OutSystems Mentor
22:04 — One platform: infrastructure, integrations, UIs, agent skills, and deployment
30:19 — 40% customer service automation with AI (vs. under 10% before)
33:48 — How AI is augmenting, not replacing, engineering and product roles
39:41 — "That's 2008 and this is 2026 — you have to change"
41:27 — The wow factor vs. enterprise reality: why prototyping isn't the hard part
46:17 — Tiago's advice: identify the biggest problem, feed it to an LLM, build the solution
48:42 — "Think big, start small, scale fast"

Key Links:
OutSystems
Connect with Tiago on LinkedIn

Mentioned in this episode:
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?

The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.

In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

👉 Try it now at https://hatchworks.com/ai-opportunity-finder/
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.
https://hatchworks.com/state-of-ai-2026/

Host Matt Paige records a special Talking AI episode live from Google I/O with AI creators Kushank Aggarwal, Marcin Teodoru, and Jay Enrique, discussing Google’s biggest announcements and what will matter in real use.
They argue Google’s edge is distribution—bringing AI to existing Search users—positioning Gemini as an intelligence layer across products like Search, YouTube, Gmail, Docs, Chrome, Android, and shopping.
They highlight rapid growth in token usage, Search’s new AI mode and generative UI/dashboard experiences, and YouTube features that jump to relevant video moments, potentially improving discoverability for creators and local businesses.
They debate Gemini Spark’s agentic approach, prepackaged agents like Daily Brief, and enterprise “agent garden” concepts, then cover Omni as a broader “world model” play, Pix/NanoBanana-style editing and image workflow improvements, and a glasses demo featuring translation, Gemini Live, and impressive audio.
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Key Moments:
00:54 Gemini Everywhere Strategy
02:09 Search Gets Agentic
03:47 Generative UIs for All
06:48 YouTube as Action Engine
08:21 Gemini Spark Agents
10:10 Adoption and Standards
13:55 Omni World Model
17:13 Pix Editing Workflow
19:06 Omni Platform Take
19:53 Fire Round Highlights
22:05 Glasses Demo Reactions
24:02 Wrap Up and Where to Follow

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Key Links:
DigitalSamaritan
Connect with Kushank on LinkedIn
RoboNuggets
Connect with Jay on LinkedIn
AI Builders
Connect with Marcin on LinkedIn

Matt Paige and Thomas Schlossmacher discuss a shift from typing to talking as AI makes voice dictation accurate enough to use without constant corrections, arguing speech is faster and more natural and helps maintain thought flow when interacting with AI tools.
Schlossmacher is building Resonant, a Mac voice dictation tool designed to run on-device so nothing goes to the cloud, motivated by privacy concerns and data retention/training practices of cloud-based alternatives like Whisper Flow.
They explore the tradeoffs of local vs server inference, noting current consumer hardware can struggle to run full speech-to-text plus LLM post-processing fast enough, but expects improvement in 1–2 years.
Schlossmacher explains differentiators like taste/brand, his design workflow using inspiration sources and ShadCN, his path into AI-assisted building, his stack (Claude Code, Next.js, Convex, Vercel), and a vision for proactive, context-aware agent features and potential open-sourcing and enterprise/self-hosted options, with beta/free access at https://www.onresonant.com/.
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Key Moments:
01:47 Making the Switch
05:00 Why Build Resonant
08:25 Local LLM Reality Check
11:23 Standing Out in AI
14:52 Designing Resonant Brand
19:16 Building Taste Systems
22:25 Learning to Build Apps
23:43 Early Computer Curiosity
25:41 Entrepreneur First and AI Shift
27:49 Teaching Yourself with Agents
29:05 Tooling and Tech Stack
31:05 Resonant Product Vision
35:14 Proactive Voice Workflows
36:42 Beta Launch and Monetization
41:15 Where to Try Resonant

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Key Links:
Resonant
Connect with Thomas on LinkedIn

Mentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.
https://hatchworks.com/state-of-ai-2026/
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?

The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.

In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Matt Paige and EdTech veteran Todd Brekhus discuss how generative AI, like past technologies (calculators, the internet, Google), is being used by students to shortcut homework and why the key issue is redesigning education to deepen learning rather than trying to stop AI use.
Brekhus contrasts the internet’s access-to-information shift with generative AI’s content-creation shift, arguing educators were caught flat-footed and need awareness, tools, and curriculum changes.
He emphasizes empowering teachers first through personalization driven by frequent, granular measurement and data that informs instruction, moving beyond latent end-of-year testing toward mastery-based feedback loops and more embedded, contextual assessment.
They explore maker-style, collaborative learning enabled by AI and “vibe coding.” Brekhus describes Renaissance’s internal AI upskilling and Renaissance Intelligence, which unifies data from 20 acquisitions into an AWS/Snowflake backbone to deliver a unified UX, recommendations, and trusted, standards-aligned, classroom-personalized instruction.
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Key Moments:
01:23 Homework Shortcut Reality
04:21 Kids Adopt First
05:27 Internet Era Lessons
12:00 myON Unlimited Reading
16:05 Personalization Starts Teachers
21:53 Trusted Data And Measurement
26:07 Mastery Model With AI Assist
27:44 AI Should Challenge Learners
28:42 Rethinking Assessment Loops
31:21 Data Driven Skill Insights
33:50 Connecting Learning to Purpose
36:02 Vibe Coding for Teachers
37:29 Future School Makerspaces
40:33 Balancing Creation and Effort
41:39 Renaissance AI Transformation
44:40 Agentic Dev and Legacy Systems
48:21 Renaissance Intelligence Platform

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Key Links:
Renaissance Learning
Connect with Todd on LinkedIn

Mentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.
https://hatchworks.com/state-of-ai-2026/

The episode discusses market panic around Anthropic’s rapid releases and whether disruption is rational or hype, then shifts to what companies are actually doing with AI.
Dan Priest, PwC’s Chief AI Officer, explains that security architectures for AI are maturing and that conversations have moved from CTO/CIOs to CEOs under board and investor pressure to show demonstrable AI investment and ROI.
He argues ROI is elusive because firms overfocus on tech (20%) instead of business transformation, process reimagination, and change management (80%), and recommends a “lead/lag/exit” strategy plus a two-track approach: top-down reimagination in priority areas and bottom-up experimentation for adoption.
Priest covers tool selection via “model gardens,” agent design emphasizing quality over agent counts, human accountability, current limits like task-length drift, productivity impacts, and why ERP/SaaS remain important but their footprints and agent layers will evolve.
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Key Moments:
01:28 Hype Versus Disruption
04:28 Security And Boards
07:50 Lead Lag Exit Strategy
09:30 Reimagining Processes
14:45 Two Track Adoption
17:46 Tooling Without Lock In
22:08 Jobs And Role Blur
24:54 Vibe Coding Meets IT
25:33 AI Productivity Boom
28:50 Humans Stay Accountable
30:47 Touchless Forecasting Win
32:40 Designing Agent Architectures
37:28 Probabilistic Limits and Drift
40:05 ERP and SaaS Future
43:58 Strategy Avoiding Lock In

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Key Links:
PwC
Connect with Dan on LinkedIn

Mentioned in this episode:
Free report from HatchWorks AI — State of AI 2026
What’s real in AI this year, what’s hype, and what leaders should prioritize — including production lessons, designing for agents, and governance.
https://hatchworks.com/state-of-ai-2026/
AI Opportunity Finder
Feeling overwhelmed by all the AI noise out there?

The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point.

In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

👉 Try it now at https://hatchworks.com/ai-opportunity-finder/