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AI agents are no longer just standalone demos. They are moving directly into the systems where work already happens: Google Workspace, SAP, Salesforce, email, calendars, files, CRMs, and enterprise systems of record.
In this episode of the Runpoint Podcast, Sam Gaddis, Matthew, Ryan Mish, and guest Harrison Wells of Dodo Digital discuss the shift from flashy AI tools to operational AI workflows. They cover Google Spark and Omni, the SAP + Anthropic partnership, Salesforce’s reported engineering productivity gains, Pi agents, Codex 5.5, Claude, and why many companies are increasing AI budgets faster than they are building true AI readiness.
The big question: will enterprises actually transform around AI, or will they just bolt chatbots onto old systems and call it innovation?
Timestamps
00:00 — Intro: agents are moving into real work surfaces
02:18 — Pi agents, Codex 5.5, and custom AI workflows
06:00 — Google Spark, Omni, and the Workspace distribution advantage
12:26 — Could Google own the enterprise AI surface?
15:19 — Agents making purchases and real-world decisions
21:03 — SAP + Anthropic: Claude inside systems of record
23:25 — Why chatbot-style enterprise AI often fails
25:30 — Daily AI reports, heartbeat workflows, and what actually works
31:44 — Salesforce’s AI engineering productivity claims
37:21 — AI budgets are rising, but readiness is lagging
39:48 — How companies should build real AI adoption
42:31 — Why engineering is ahead of the rest of the enterprise
43:21 — Closing
In this episode of the Runpoint Podcast, Sam Gaddis, Matthew, Ryan Mish, and guest Harrison Wells of Dodo Digital discuss the shift from flashy AI tools to operational AI workflows. They cover Google Spark and Omni, the SAP + Anthropic partnership, Salesforce’s reported engineering productivity gains, Pi agents, Codex 5.5, Claude, and why many companies are increasing AI budgets faster than they are building true AI readiness.
The big question: will enterprises actually transform around AI, or will they just bolt chatbots onto old systems and call it innovation?
Timestamps
00:00 — Intro: agents are moving into real work surfaces
02:18 — Pi agents, Codex 5.5, and custom AI workflows
06:00 — Google Spark, Omni, and the Workspace distribution advantage
12:26 — Could Google own the enterprise AI surface?
15:19 — Agents making purchases and real-world decisions
21:03 — SAP + Anthropic: Claude inside systems of record
23:25 — Why chatbot-style enterprise AI often fails
25:30 — Daily AI reports, heartbeat workflows, and what actually works
31:44 — Salesforce’s AI engineering productivity claims
37:21 — AI budgets are rising, but readiness is lagging
39:48 — How companies should build real AI adoption
42:31 — Why engineering is ahead of the rest of the enterprise
43:21 — Closing
Creators and Guests
Host
Sam Gaddis
Serial tech entrepreneur with a decade deploying practical AI. Experienced in sell-side M&A, he built and exited two companies: an AI products firm and a software consultancy where he served as CIO. Sam translates cutting-edge tech into practical tools aligned with business realities, advising and building buy-in with executives from Fortune 500s to startups.
What is Runpoint: AI Business Transformation Podcast?
Hosted by Runpoint Partners’ founders Sam Gaddis (tech entrepreneur & AI builder) and Matthew Hall (PE operator & growth strategist), Runpoint Podcast strips the hype from artificial intelligence and shows you how to turn it into concrete business results—fast.