Let AI Do the Heavy Lifting Post Conference

The best part of any conference is the people you meet serendipitously and the speakers who leave you inspired. We can help you stay connected to everyone you cross paths with. 

One of our customer outreach methods, with the highest ROI, is reaching out to everyone after the conference is over to explore synergies. However, the process is Herculean, time-consuming and repetitive. 

What if? 

We can automate and streamline outreach? 

Traditionally, automating such operational tasks might have involved Robotic Process Automation (RPA) bots, attempting to mimic human clicks and keystrokes. However, RPA struggles with the variability of unstructured data and requires significant upfront configuration and maintenance. For instance, if the layout of a pamphlet changes slightly, the bot could easily break. On the other hand, we have platforms like Zapier, from 2011. While they excel at linking different apps and tools together—like automatically adding new email subscribers to your CRM–they struggle with unstructured data and require someone to anticipate and map out all the possible scenarios in advance.

We believe that the real breakthrough comes when we combine these workflow capabilities with AI agents that can understand context, interpret unstructured data, and make intelligent decisions about next steps.

We are making this possible at Osly. To let AI do the heavy lifting post conference, all you have to do is go to app.osly.ai and type, “create me a workflow that extracts speaker info from a conference pamphlet, finds the speaker’s LinkedIn URL and email address, and generates a personalized outreach message to every speaker.”

Here's exactly how this works behind the scenes:

  1. Instead of relying on fixed templates, an LLM ingests the raw text from a conference pamphlet. It understands the content, identifying speaker names, their topics, affiliations, and other relevant details, no matter how the pamphlet is formatted.
  2. The extracted information is then automatically enriched. For instance, the system can intelligently search for publicly available professional profiles (like LinkedIn) to find email addresses or other contact points, adding valuable data that wasn't in the original pamphlet.
  3. Armed with comprehensive speaker information, the AI doesn't just spit out a generic message. It crafts personalized outreach communications. It can reference the speaker's specific talk topic, their research interests, or other relevant details, making the outreach significantly more impactful.
  4. The processed data and generated messages can be output in various formats (like JSON or CSV) for easy use in other systems, or even directly integrated into email outreach platforms.

We also include  robust error handling (with fallback strategies if initial data extraction is tricky), customizable message templates that still allow for deep personalization, and detailed logging for transparency.

Under the Hood: The Power of Intelligent Automation

This "Conference Pamphlet Processor" is a perfect illustration of the concepts discussed in the PocketFlow Workflow Generator white paper:

  • Fulfilling the Promise of RPA: It moves beyond brittle, rule-based automation to a more adaptable, intelligent approach. The AI agent isn't just following a script; it's interpreting data and making decisions.
  • Agent-Based Architecture: The workflow operates like an intelligent agent, taking an initial goal (connect with speakers), breaking it down (extract, enrich, personalize), and using its tools (LLM, data lookup capabilities) to achieve it.
  • LLM Integration: The core ability to understand unstructured text from pamphlets comes directly from the power of LLMs.
  • Tool Integration: Seamlessly connecting to external data sources or APIs for enrichment is a hallmark of a capable agent.
  • Structured & Accessible: Even complex AI workflows can be made accessible through user-friendly interfaces, ensuring the generated value isn't locked away.

Why This Matters

Automating speaker outreach is more than just an efficiency gain. It’s about:

  • Productizing internal, repetitive operational work.
  • Reaching out to more speakers, more effectively, than would ever be possible manually.
  • Applying the principles behind this workflow to countless other operational tasks that involve extracting information from unstructured sources, enriching it, and acting upon it. 

The beauty of this AI-driven approach is its adaptability. It's not about hard-coding every step but about empowering an AI agent with a goal and the tools to achieve it. This makes the system more resilient to changes and far easier to implement and maintain than traditional automation.

The Future is Automated, Intelligent, and Connected

The Conference Pamphlet Outreach Workflow is a glimpse into a future where organizations run more efficiently through intelligent automation.

As LLMs and agent architectures continue to evolve, the ability to transform labor-intensive operational tasks into streamlined, intelligent workflows will only grow. This will unlock new levels of productivity, foster better connections, and ultimately allow human talent to shine by focusing on what humans do best: strategy, creativity, and genuine relationship-building.

Try now at https://app.osly.ai/.