Swag Discussion Series | Week 1

I appreciated the APA Enablement Framework module. Very plainly stated, easy to follow and provided a great roadmap for project management. I also definitely appreciated the notes about RPA complementing APA and still being useful moving forward 

The key insight that resonated with me most this week was understanding how to configure and test model connections using the new package. It provided a clear foundation for how AI skills interact with model connections, which simplifies execution and integration. This hands-on experience with basic agentic process automation also helped me visualize how these components work together in a real-world scenario. As we move forward in the training camp, I see this foundational knowledge being essential for building more complex automations and ensuring seamless interactions between AI models and the processes they support.

I’m walking away from this week just trying to assess where we might have some Gen-AI / agentic needs.

Currently, we have a very limited RPA program - no AI and we just use task bots.

We are mid-size and mostly B2B, so most of the flashy gen AI use cases (loan applications, call center assistant, etc.) do not apply.

Also, our RPA program is still sequestered to the accounting/finance group plus our invoicing system is already very efficient.

I am thinking of reaching out to some people in adjacent groups which might benefit from natural language processing.

I can’t wait to actually get automating next week!

What key takeaway or insight from this week’s courses resonated with you the most?

Agentic process automation will continue to use human-in-the-loop for processes.  There are many services available for AA including Document Automation, Model Connections, and Enterprise Knowledge to explore. 

How do you envision applying this foundational knowledge as we progress in the training camp?

This foundational knowledge will be built upon in the coming weeks as we learn more about the technology powering automations.  Hoping to experiment with some use cases.  

One key insight that really resonated with me this week came from the customer support example shared in the first Leaders Track session. It sparked some deep reflection about the future of work and education in the age of AI.

I’ve long been concerned about a growing divide between people who use AI critically and proactively, and those who rely on it passively. But this session introduced a new layer: Are we on the verge of a fundamental transformation in how education and expertise are developed?

Currently, RPA handles routine customer support tasks like data collection and call routing, while humans step in for the more complex issues. It’s still an overwhelming experience — many of us have felt that firsthand. But with APA (Agentic Process Automation), this model might flip. AI agents could soon be taking over the more sophisticated tasks — with humans simply supervising their work.

This shift raises profound questions about leadership and long-term expertise. While domain experts will be essential in the short term, what happens when AI takes over the "hard stuff"? Could deep, hard-earned knowledge slowly erode if it's no longer needed day-to-day?

That naturally leads to a bigger question about education: How do we preserve critical thinking, expertise, and contextual understanding in a world where machines can do so much? Personally, I once prioritized hands-on experience over formal education — but I’ve come to realize how foundational structured learning and strong mentorship really are.

So here’s what I’m left wondering:
➡️ Will education evolve into a more mentorship-based model — one that emphasizes human connection, lived wisdom, and contextual learning over passive content consumption?

As we move forward in the training camp, I envision applying this foundational knowledge by staying grounded in that mentor mindset — not just absorbing information, but actively sharing, questioning, and co-learning with others. I look forward to interacting more with my team and the broader community to grow together and continue this journey as pioneers.

We’re living through a truly fascinating shift — and I’m glad we’re having these conversations.

P.S. Yes, I polished this with AI. The first version was definitely a bit chaotic. 😅

I am delighted to enroll in and be a part of the Agentic Process Automation program.

**Week 1: Key Takeaways**  

RPA ---→ APA Transformation
1. Agentic Terminology  
2. Key Features of AI Agents  
3. Path Finder Framework  
4. Capability Management:  
   - Per AI Capability  
   - Per Use Case  
5. Capability vs. Use Case  
6. Technologies powering APA transformation:  
   - Control Room  
   - Model Connections  
   - External Dependencies  
   - Other Technical Dependencies  
7. Integrating Human-in-the-Loop with Automation Anywhere  
8. Establishing Model Connections & AI Governance  

My key takeaway for this week is to understand the Capabilities & Usecases for APA. Also how to discuss APA with company stakeholders. Looking forward to next week.

Thanks!

What key takeaway or insight from this week’s courses resonated with you the most?

Key takeaway is the knowledge on APA and its possible use cases. Understanding of agentic approach with RPA having concepts of human in loop and document automation is really interesting.

How do you envision applying this foundational knowledge as we progress in the training camp?

The foundation knowledge would help while applying the agentic approach to automations.  Looking forward to build some use cases in this training for deep understanding and hands on.  

Hi Team, 

This is really an energizing kickoff to the APA Training Camp!. Below are the IMP takeaway.
1. Integrating HITL in AA.
2. Model Connection.
3. 9 dimensions of APA Pathfinder Framework.
4. 8 powerful capability type with YOU HAVE and YOU NEED Concept.

I would like to explore above fundamental points in APA.

What key takeaway or insight from this week’s courses resonated with you the most? How do you envision applying this foundational knowledge as we progress in the training camp?

I found the talk about capability vs use case pretty interesting. This seems like a pretty surface level topic at first, but I had never actually heard this issue discussed and dissected in a formal manner before. Additionally, seeing the breakdown of the AI capabilities and how each capability can be applied to a specific use case I found to be especially insightful because it gave me pointers as to what business problems that I can use these AI skills for withinin my organization.

Hello, Automation Anywhere enthusiasts !!!!

Participating in the APA Training Camp has been a transformative journey for my Automation Anywhere skills. This camp offered a supportive and engaging environment where I built a strong foundation and mastered the Pathfinder framework through Automation Anywhere University and interactive sessions. It not only clarified complex concepts but also significantly boosted my confidence. Connecting with fellow participants has made the experience even more enriching.

The following are my take aways from Week 1:

 the first takeaway is the integration between traditional RPA with AI Agent solutions making a solutions capable of making decisions, being proactive, work with exceptions and maintaining a holistic overall goal of the process.

 The second take away is finding what it matters to the organization and show to the leaders that the solutions being offered are align to the organizational objectives

How do you envision applying this foundational knowledge as we progress in the training camp?

Identifying opportunities within my organization where automation agents can be used to improve the quality of automation solutions and use capability to solve a problem

Looking forward for Week 2

Week 1 of APA Developer Training was a solid start, really appreciated the blend of technical depth and big-picture thinking. My key takeaways were:

1. Understanding capabilities and use cases helped frame automation opportunities more clearly.

2. Learning how to manage technical dependencies will definitely help when scaling solutions.

3. The emphasis on Human-in-the-Loop stood out a great reminder that even in automation, human judgment remains critical.

4. Creating and connecting models using the new package was insightful. Being able to directly call the model connection while executing AI skills makes things so much smoother.

5. Lastly, the introduction to Agentic Process Automation gave me a fresh perspective on building intelligent, adaptive systems that integrate well with our current RPA setup.

Excited to apply this foundational knowledge in upcoming weeks — and yes, looking forward to the swag! 😄

My main takeaway this week is the Capability Type Reference Guide. One of the biggest challenges I’ve faced in implementing AI at my organization has been identifying use cases. Before APATC, I would have had a hard time explaining what AI is actually capable of. This guide gave me a clear understanding of the different AI capabilities, which now helps me not only spot potential use cases but also share that knowledge with the business to build a shared understanding.

🧠 Week 1 was fantastic, building strong foundations, together with a glimpse into the Future! 

Key Takeaways

• APA integrates AI with automation with options of including humans in the loop where necessary, enabling intelligent agents to manage complex workflows autonomously, operating on a goal-based environment (as opposed to RPA which is rule-based) 
• By deploying AI agents, businesses can streamline operations. reduce manual task and enhance service delivery across various domains 
• APA emphasises creating adaptable agents, designing resilient workflows, and implementing robust governance frameworks to ensure security and scalability 

my take aways is the capability management and review in additinal to integrating human into the mix when they are needed.

Hi ​@Lu.Hunnicutt ,

The biggest takeaway for me this week was understanding how automation is moving beyond just bots to more intelligent, autonomous agents with Agentic Process Automation (APA). It really changed how I think about building automations — it’s not just about completing tasks anymore, but about creating solutions that can adapt, make decisions, and even work with humans when needed.

I also found the APA Enablement Framework really helpful because it gave me a clear structure for how to handle AI use cases, set up proper governance, and make sure automations can scale as we grow. As we continue through the training camp, I’m excited to start applying these ideas by building smarter automations that combine AI skills, human-in-the-loop steps, and secure model integrations to solve more complex business problems.

What really clicked with me this week was the APA Enablement Framework. It gave me a clear path to align AI use cases with governance and adoption goals. As we move ahead, I plan to apply this to help my team scale automation in a way that’s smart, secure, and built for the long run.

Hi ​@Lu.Hunnicutt,

One key takeaway that stood out to me was how Agentic Process Automation (APA) blends AI agents, automation, and human oversight to solve complex problems -- not just tasks. I see this shaping how I approach automation design, making sure we use AI not just for speed, but for smarter, adaptive workflows with the right governance in place.

Hello All, 

What stood out to me this week was the APA Enablement Framework, which offers a structured way to build agentic automation—from identifying the problem type to choosing the right tech, involving users, and ensuring strong governance and adoption. It clearly connects strategy to execution, making automation more purposeful and scalable.

The concept of Human-in-the-Loop (HITL) highlighted the value of keeping humans engaged at critical decision points. It is a smart way to balance automation efficiency with human judgment, especially in complex or sensitive scenarios.

Furthermore, AI Governance stood out as a crucial concept, highlighting the importance of ethical use, transparency, and compliance.

I am excited to put these principles into action and really looking forward to the coming weeks as we dive deeper into the world of APA. 

These are my several takeaways:

Key takeaways from Week 1 course are getting the overview of APA & the capabilities of AI, how it helps industries to fulfil their goal. Human in the loop is the myth buster and helped us to believe that AI can’t run without us. Also, the model connections to manage governance and automated workflows was great to know. Now it’s time to get deep dive further into these concepts in upcoming tracks. Very Excited!!

Hello AA community,

For me, the most impactful takeaway from week 1 was understanding the importance of identifying AI capabilities and how they can be segmented into various types:

• Classification
• Sentiment analysis
• Entity recognition and extraction
• Language translation
• Summarization
• Data transformation
• Content generation
• Decision-making.

By categorizing these capabilities, we can better determine which ones are applicable to each client use case.
This also helps us identify the AA tools that can be grouped together to present a comprehensive APA solution proposal for the use case, such as:

• AI Agents
• AI Skills
• Automation Co-pilot
• Document Automation
• Bots
• Model Connections

I hope to apply this knowledge with practical exercises, where I can identify different AI capabilities along with several of the new AA AI tools.

Lets go! - ¡Vamos! 

I appreciated the list of 8 AI Capabilities and how they get broken down. I’m hoping that will be clarifying for people within my organization as they consider how they might use AI in their function and/or processes.

My key take-away from week 1 was understanding all the key technologies and how/when certain tools should be used. I especially enjoyed the deep dive into each technology and how to apply them to an applicable process. 

I often hear of the different tools/technologies but found myself a little lost among the many tools, their uses, and what is required to utilize them. 

Looking forward to week 2!

Wow!!! What an incredible experience kicking off Week1 of the APA Training Camp and making the transition from traditions RPA to APA! 

After Week1, I now have a deeper understanding of the intricacies of the APA framework. I love the Human-in-the-Loop concept, what a game changer this will be in the automation world.

The shift from RPA to APA has opened up a whole new world of possibilities. Can't wait to get my hands on the tools to design intelligent workflows, leverage machine learning, and make data-driven decisions.
The collaborative environment and networking opportunities with fellow pathfinder members is invaluable, allowing me to exchange ideas and learn from others experiences.

I already start to feel empowered to tackle more complex automation challenges and contribute to my organization's digital transformation in a more impactful way. 

Thank you, APA Training Camp and fellow pathfinders.