Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.

MRP workforces, are mindblowing

The real magic comes from combining many specialist MRP agents into a workforce. Think of it like a team. Each member (MRP agent), is responsible for one thing, like managing Gmail, calling a CRM, or accessing a file system. Then a different agent, maybe your main workforce agent, just sends a message to the specialist when it needs something done.
More flexible

It avoids overcrowding a single agent with 30+ tools, by having a single generic API tool, or code step, or LLM step etc that the agent can figure out how to use.

Easy to reuse

When the API changes, the only thing you need to change is the documentation in the agent's knowledge, instead of any of the 30+ tools that are affected by the change.

Example MRP workforce task

Example MRP workforce task

01 Feature one

After cloning the multi-agent MRP workforce below and connecting our accounts to each tool, we were able to get the workforce to do the following, without building a single custom tool 🤯

02 Feature two

Then, the workforce did all of the work below. This would have taken weeks of work to build out all of the individual tools for each integration previously. All we needed to do was connect our accounts and write a task prompt. That was it.

03 Feature three

The MRP manager started by delegating to the research assistant to find out everything it could about Relevance AI, using two simple tools: Google Search and Extract Website Content.

04 Feature four

Then the MRP Manager asked the HubSpot assistant to retrieve all of the records in HubSpot that are related to Relevance AI, it's founders, engagement history and key stakeholders.

04 Feature four

The HubSpot assistant (ahem, wizard) did a very good job of this:

04 Feature four

Next, the MRP manager asked the Brandfetch assistant to fetch all of Relevance AI's brand assets. It found logo files in different formats, brand colour codes, social profiles and more.

04 Feature four

After that, MRP manager asked the Apollo Assistant to get all of the key stakeholders and decision makers from Relevance. It was able to retrieve a much more accurate and recent list than what was already stored in the CRM about them.

04 Feature four

Next, the HubSpot assistant was able to update the CRM with all of the new information about the company and stakeholders that were discovered using all of these different integrations. With that, the first three requests the user made right at the start have been complete. Four more remaining.

04 Feature four

Now, the MRP agent asks the Gamma assistant to create a slide deck for the meeting with Jacky Koh, one of the founders of Relevance AI. It asked it for 14 slides, with a mix of visuals, diagrams and non technical language.

04 Feature four

Here are some of the slides in the 14-paged slide deck it created. Gamma is amazing. With that, the users third request for a slide deck that communicates the benefits of AI agents and cater to Relevance AI is complete.

04 Feature four

Next, the MRP agent delegates to the Notion assistant, to create a page in Notion to prepare all of the latest details about Relevance AI ready for the meeting. The Notion Assistant failed in this case, because it required a page ID. It didn't stop working though. It carried on and finished the rest of its objectives.

04 Feature four

When everything else was done, I sent a follow-up message to the workforce and gave it the correct page ID, which meant it was able to complete it's Notion objective too. I know for next time to give it a page ID, or ask it to pick one itself. The user also requested a spreadsheet containing all of the changes the agent made. So the MRP asked the Google Sheets Assistant to create a changelog spreadsheet.

04 Feature four

The user also requested a spreadsheet containing all of the changes the agent made. So the MRP asked the Google Sheets Assistant to do that. It created a spreadsheet with three separate worksheets:

  • A Change Log worksheet containing all of the changes made to the HubSpot CRM, including date, object, old value and new value.
  • A stakeholders worksheet containing the contact details of all the stakeholders it found, and where the source was (already in HubSpot CRM, or through Apollo).
  • An asset spreadsheet containing links to the slide deck it created, the Notion page, and the HubSpot portal with instruction for how to access the portal by providing your own portal ID. The best thing about this is that for Notion, it told the user that the link would be updated as soon as they provide the correct parent page ID so it could create the page. Totally removing any guesswork for the user on why the page wasn't created and how to resolve it.

04 Feature four

Finally, the MRP agent delegated to Gmail assistant to send an email to the sales team with a summary of research and assets they need to help prep for the meeting.

04 Feature four

Here is the email (the agent is using my account under the hood, ideally you'd give it its own account. We've done that in our prod version):

04 Feature four

The last thing the MRP did, was summarise what it's original goals were, everything it did got done along with links to all of the assets, as well as direct actions points for the user to complete (provide Notion page ID), as well as suggestions for other things it could do if the user wants, like extra enrichment for each individual stakeholder.

You need to try this!

Testimonials

The world's fastest growing companies are transforming their GTM with Relevance AI

"Here's our processes, here's how to think about your job, here are your goals, and immediately that agent is operating on that framework."
$7M pipeline generated
"The thing that differentiated Relevance AI was this felt like a person working in the business with us. It's learning, it's growing, it's training itself."
3x increase in meetings
"The impacts across our business is not just a little bit of change. It's transformational. We've moved from AI as a potential to an AI-first mindset."
40 hours saved weekly
"My product team has embraced Relevance really well. They're all in there getting their hands dirty, building out agents, building up tool sets."
"AI removes friction from multi-step tasks. Use cases must tie to clear business value. AI supports people rather than replacing them."
"Data first, confidence second. We monitored engagement increases, sales feedback, and pipeline signals before expanding use cases."
"The challenge is adoption, not pilots. We're transitioning AI agents from experimental projects into sustainable business operations."
"AI success isn't magic — it's method. Controlled rollout, cross-functional expertise, and continuous refinement are our core success factors."