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The New Automation Mindset: AI + Automation + Integration

The New Automation Mindset: AI + Automation + Integration

By: Workato
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Welcome to "The New Automation Mindset: AI + Automation + Integration," a groundbreaking podcast series by Workato. On this show, we bring you real-world stories of business efficiency, agility, growth, and transformation from executive leaders in the industry. In each episode, we dive deep into the minds of top-level executives who have successfully embraced automation to work faster, smarter, and more securely without compromising governance. From Fortune 500 companies to innovative startups, we explore the strategies, challenges, and triumphs of these forward-thinking leaders.Hear firsthand accounts of how automation has revolutionized their organizations, enabling them to unlock new levels of productivity, drive innovation, and fuel business growth. Gain valuable insights on navigating AI, digital transformation, streamlining workflows, integrating systems, and optimizing processes to achieve seamless operations across your enterprise.We believe that automation is not just a technology but a mindset. Join us on "The New Automation Mindset" – a leadership blueprint to reshape your organization for success in the digital age.Workato Economics
Episodes
  • Reltio CEO on the Role of Data and Processes in the Agentic Future
    Jun 4 2025
    In this episode, Markus sits down with Manish Sood, CEO, Founder, and Chairman of Reltio, to explore how enterprises can modernize their architecture through data unification, intelligent automation, and AI readiness. Drawing on Manish’s experience building cloud-native platforms and enabling data-driven transformation, they unpack the evolution of Master Data Management (MDM) and the critical need for an API-first, process-oriented approach. From breaking down data silos and improving data quality to leveraging AI agents and automating business workflows with tools like Reltio and Workato, this episode offers a strategic lens for leaders looking to future-proof their operations in an increasingly AI-powered landscape.Timestamps00:00 Episode Start03:14 Founding vision and evolution of Reltio09:36 API-first approach and data unification14:13 The role of AI in modern business processes19:13 Driving business transformation through integration22:43 Future of applications and data strategy28:08 How GenAI is affecting data quality33:10 Envisioning the AI-driven center of excellenceEpisode Key TakeawaysUnify data to unlock its full value: Siloed systems hold back AI progress. An API-first approach and the use of entity graphs help organizations bring together data from multiple sources. When data is unified and accessible, it becomes far more valuable for business and AI applications.Let AI do the heavy lifting on data quality: Most tools highlight data issues but don’t fix them. AI can go further by cleaning, disambiguating, and enriching data from unstructured sources. This keeps data accurate, reliable, and ready for action.Think in processes, not schemas: Rigid data models limit agility. A process-oriented mindset helps integrate workflows across departments, increasing flexibility and speed. Tools like Reltio and Workato can help streamline these integrations.Prepare for an AI-first application future: Applications are moving toward prompt-based and AI-driven interactions. Businesses should start getting their data ready and automating key processes. Those who do will be better positioned to compete in an AI-powered world.Top Quotes"That is the benefit of hindsight. Having been through the experience, having looked at the previous generation of technologies and capabilities. When I started Reltio in 2011, the core thesis that informed the foundation was the fact that companies, enterprises in particular, will continue to see an explosion in applications and therefore data silos.”“I've never heard a business owner say they want to move slower. Everybody wants to move faster. Every business process, if they were able to do something in 30 days, they want to now do it in seven days. If they were able to do it in seven days, they want to do it in seven minutes. If they were able to do the same thing in seven minutes, they want to go down to seconds or milliseconds. And that's the natural progression that we will continue to see, where every business process needs to execute in a shorter timeframe, faster, without human intervention. And this is where agentic comes in.”“Just by inserting AI in the middle of that business process, nobody is going to say that now, instead of a hundred, a thousand milliseconds is okay. In fact, the insertion of AI, the whole purpose of AI being inserted in the middle, is to make it faster. So when you think about that, the data that informs those decisions has to be available as the, always on, always accessible, fastest-moving piece of the entire puzzle so that you can get to that leverage, you can get to that business outcome in a shorter timeframe.”“Applications will not exist in the manner we know of them today. We have to think about data differently where we have to not only think of it as a strategic asset, core data that runs your business being available at every given point in time for any business process, any decision that needs to be made, or any analytical process that needs to be informed with it. And this bridge or divide between analytical and operational will disappear because it's the same information that needs to be used in both places.”“The tools today measure the quality of data, but they don't fix it. The remediation of that data also has to happen in parallel, and that remediation can be done by agentic capabilities. And especially now, doing some of the research that a human would do before, go out research certain detail, bring that back, validate certain pieces of information. All of those things can be automated through agentic capabilities. And that's how we are looking at the continuum, the entire lifecycle of data. All the way from sourcing to consumption, so that we can address all the lifecycle gaps in the middle and enhance the quality or the trust in the data, and then make it available for consumption across the enterprise.”
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    38 mins
  • Bain's Michael Heric is Bridging Innovation and Tradition in Automation
    May 21 2025

    In this episode, Markus sits down with Michael Heric, Senior Partner at Bain & Company and leader of Bain’s global automation capabilities, to explore how enterprise automation has evolved from traditional RPA to the era of Generative AI and intelligent agents. With 25 years of industry insight, Michael shares a compelling roadmap for leveraging automation at scale, drawing from real-world client experiences and internal Bain initiatives. From the early challenges of BPR to the promises and pitfalls of AI adoption today, this episode offers a grounded, strategic perspective for enterprise leaders navigating digital transformation.

    Timestamps

    00:00 Episode Start

    02:45 History of workplace automation

    06:00 Finding the right tool at the right time

    13:35 Change management at scale

    16:15 Who ends up implementing these new toolsets?

    18:20 Challenges and success stories from real organizations

    21:45 Getting ROI by learning from the past

    24:10 Some underrated use cases for LLMs

    26:50 Putting trust in GenAI toolsets

    29:20 Are organizations ready from a data perspective?

    32:45 Adapting at the same rate the world is changing

    40:05 Leveraging AI to create better products

    44:20 Conclusion and final thoughts

    Episode Key Takeaways
    • The opportunity still exists in the back office: Despite clear value potential, finance, HR, and legal remain under-automated due to data, trust, and auditability concerns. These areas are poised for transformation with the right approach.
    • Success depends on sticking with it: Many organizations fail not because their data or ideas were worse, but because they gave up too early. The companies winning with AI are the ones that iterate and persevere.
    • Apply innovation where you have gaps: Don’t waste generative AI on processes that already work with existing automation. Focus on "white space" opportunities—areas where older tools failed or never reached.
    • Use the right tool for the job: Traditional automation (like RPA) still delivers value in structured, rule-based tasks, while AI agents excel in dynamic, ambiguous environments like customer service and sales.
    Top Quote

    "Doing business process redesign, even doing some of these large ERP implementations…the world is moving so fast, these business processes are changing. By the time you’re done with the redesign, the world’s already moved past it. So you're constantly multiple steps behind. And I think now we're finally getting to a spot where technology can be flexible enough to adapt at the same rate the world is changing."

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    47 mins
  • TechPACT’s Mission to Increase Representation and Reduce the Digital Divide
    May 14 2025

    In this episode, Markus Zirn, Michael Smith, and Earl Newsome discuss their collaborative work on the TechPACT, a collective initiative focused on advancing diversity, equity, and inclusion in the tech industry. The TechPACT aims to bridge the digital divide and elevate underrepresented voices in technology. Michael and Earl share how the “plus one” mindset helps members take small, daily actions to promote inclusion, and they offer practical ways tech leaders can commit to equitable hiring and mentorship. They also address the rising backlash against DEI initiatives, offering strategies to navigate resistance while continuing to drive meaningful change. Lastly, they discuss responsible AI adoption, the power of allyship, and building a more inclusive future in tech.

    Timestamps

    00:00 Episode Start

    04:50 Founding the TechPACT

    08:20 The TechPACT's vision and mission

    11:55 What levers are required for change

    17:00 Importance of Inclusion

    18:45 The TechPACT's impact

    30:30 DEI in 2025: Addressing backlash and navigating forward

    37:00 AI and its impact on diversity

    46:00 Call to action for IT executives

    Episode Key Takeaways
    • Support the mission of TechPACT: Join the movement to close the digital divide by getting involved with TechPACT. Visit techpact.org, take the pledge, and share it with your network. You can also volunteer your time, skills, or resources to help drive representation and access in tech.
    • Incorporate “Plus One” into your routine: Build inclusivity into your daily habits by adding one intentional action that broadens your perspective. That could mean reading a book from a different cultural lens, connecting with someone outside your usual circle, or expanding your candidate pool during hiring. Small, consistent steps can lead to lasting change.
    • Standardize diverse hiring practices: Make it a norm to interview a diverse slate of candidates before making any hiring decisions. This not only supports equity and inclusion, it also helps you access a broader, stronger talent pool by widening the lens on what great looks like.
    • Tackle AI bias and prepare for the future: Audit your AI tools for bias and make sure they’re built with fairness in mind. Invest in training your team for emerging roles like “AI artists” and “prompt engineers.” Encourage collaboration between humans and AI to spark exponential innovation, not just automation.
    Top Quote

    “ To really serve your consumers, you have to have a deep, deep level of empathy. And the great, especially the innovative companies, they anticipate needs sometimes before the consumer themselves anticipates those needs, and the way you do that is by bringing diverse perspectives to the table. And those diverse perspectives can come from all types of diversity, right? Sometimes it can be the things you see on the surface, like gender or race, but it can also be industry knowledge. But bringing those diverse perspectives to the table is where it starts.” - Michael Smith

    “ Diversity is being invited to the dance, right? Inclusion is being asked to dance, right? Equity is having access to the dance floor. That's all equity is giving you access to get on the dance floor. There's a ramp there for you, if you need that. But belonging is wanting to dance if no one's looking at you. And so if we can really unlock the power of belonging in our organizations and we can then earn that discretionary effort of all our employees. If people feel as though they don't belong, and we've all had that feeling, we've been in places where we feel we don't belong. You're not gonna earn any extra effort from me. You're not gonna earn the power of my diverse background. But if I feel as though if I belong and I'm dancing as if no one's looking at me, then you're gonna earn my discretionary effort, which is gonna lead to amazing, extraordinary outcomes.” - Earl Newsome

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    50 mins

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