Post 03: 🤖 AI Solo Mission or #SquadGoals
Because expecting one agent to do everything is like asking Clippy to run your company.
Last week we built a bot. This week we’re asking a bigger question: is one bot ever enough?
Welcome back to In Beta with Britt, where AI isn’t just hype. It’s hands-on, in-the-field, and built to solve real business problems.
Post 01: “Clippy Got a Glow-Up”, we met the next generation of copilots. They’re showing up everywhere from Outlook to Teams to Dynamics 365, helping us manage day-to-day work in ways that feel refreshingly human.
Post 02: “Build-a-Bot… err, Agent”, we got hands-on inside Microsoft Copilot Studio and built our first task-specific agent. Not just a helper, but an agent that could reason, take action, and follow instructions.
This week, we’re scaling that idea. A single agent can offer quick wins like summarizing a meeting or auto-creating a work order. But when your business spans systems, roles, or regions? One bot is not going to cut it. Building a squad opens the door to full-blown business transformation. And yes, I said squad. The last time I was in one, we were planning a bachelorette weekend in Las Vegas, with matching tanks to prove it.
Someone booked transportation and locked down our dinner and VIP reservations. Someone else wrangled the swag in the right sizes and color palette. One friend managed the group budget and kept everyone honest on Venmo. Another played therapist, making sure the vibe stayed strong and the bride felt supported. And someone’s entire job was to hype the crew from wheels down to brunch the next day. (That might have been me 😎)
It worked because everyone had a clear role. No overlap. No confusion. Just good energy and a shared plan.
Designing a squad of AI agents should feel the same. You want bots that complement each other, not compete. You want clean handoffs, clear roles, and outcomes you can trust.
Let’s look at how that plays out across real business processes:
In manufacturing, agent teams connect work order creation to supply reordering to financial journal entries.
In distribution and retail, squads coordinate inventory insights, price adjustments, and customer communication.
In medical device and pharma, they support documentation, compliance checks, and rep scheduling.
More broadly, in contact centers, you’ll find agent handoffs between triage bots, escalation assistants, and smart scheduling agents all working together.
And in field operations, squads can manage dispatch, route optimization, work order updates, asset tracking, with real-time status updates directly to the customer.
This is not future state. Companies are already designing systems like this using Microsoft Copilot Studio, Power Platform, and Dynamics 365. If you follow AI voices like Everyday AI, Philipp Schmid, or even our own Drew Vabulas from Argano, you’ve already seen the shift. Agentic AI is no longer a someday conversation. It’s a strategic decision your competitors are making right now.
So let’s talk about how to make that decision.
When is one agent enough?
When do you need a full squad?
And how do you make sure your AI team doesn’t turn into an unmanageable group chat?
Let’s break it down.
🎭 To Multi-Agent or Not: That Is the Question
You don’t need a whole squad just because the tech let's you build one.
Sometimes a well-trained solo agent is exactly what the job calls for. If the workflow is linear, low risk, or lives in one system (like "create a case when an email comes in" or "send a follow-up after a meeting"), keep it simple and go solo.
But when your business starts to move faster, touch more systems, or involve multiple teams, it’s time to call in the squad.
Here’s when going multi-agent makes sense:
When workflows span departments or apps: Companies are already building squads that handle order to cash, field dispatch, or managing exceptions across supply chain, finance, and sales. These agents work together across tools and teams.
When time matters: Multiple agents can run in parallel. One generates a quote. Another updates delivery timelines. A third closes the loop with accounting.
When specialization improves quality: A scheduling agent shouldn’t also be writing your marketing copy. Let each bot do what it does best and hand off when it’s time.
When communication needs context: One agent holds the facts. Another knows the audience. Together, they personalize and deliver messages that actually land.
When your business is scaling: More volume and more complexity doesn’t have to mean more headcount. Agent teamwork supports growth without overwhelming your team. It also puts your team in the driver's seat focused on delivering insights and high value work only humans can do.
💡 Bonus: Copilot Studio now supports shared variables, memory, and handoff protocols. Your bots can collaborate without starting from scratch every time.
Did I lose you on the term variable? Think of it like a digital fanny pack. It holds key info like a customer’s name or order number that agents can share as they work. No repeating yourself (or re-prompting). Just smooth, polite teamwork. And because it's Microsoft, everything in that fanny pack is protected with built-in security like role-based access, DLP, and identity controls. So it’s helpful, not risky.
The goal is not to build more bots. It is to create better flow.
💼 Real Talk from the Dealmakers’ Den
Let’s make this real. I’m one month into a new sales role with Argano. While inbound leads have started flowing (LinkedIn DM me here 😉), like any good salesperson I know to always keep one foot in the outbound world. Shoutout to my right-hand woman Lindsay Kuper, our BDR extraordinaire, who makes the grind smarter and more fun.
Because we use agents, we spend less time digging for info and more time doing something with it. We don’t let AI write the campaign or send the message, but we absolutely let it help us move faster, think deeper, and personalize better.
👟 Single Agent Example: When One Bot Is Enough
Say I want to build a target list of accounts near the Twin Cities that align with Argano’s industry sweet spot like Manufacturing, Distribution, or Retail/CPG. I upload a big spreadsheet and ask Copilot to review the Microsoft account list and filter it based on geography and industry.
Boom. I’ve got a clean, refined list ready to plug into LinkedIn Sales Navigator.
One prompt. One system. One outcome.
That’s a single-agent win.
But are we done?
HA. Not even close.
🧠 Multi-Agent Example: When It’s Squad Time
Now I want to:
1.Prioritize and Personalize: Cross-reference the account list with my LinkedIn connections to identify existing relationships. Prioritize those accounts and mark them A-grade targets.
2. Complete the Research Template: Use M365 Researcher Agent to fill out key intel from my custom Account Research Template, which includes:
Company summary, GTM model, and customer base
Key executives and decision makers
Tech stack, digital maturity, and Microsoft relationship
Strategic moves, recent news, and hiring signals
Pain points, hiring activity, and technologies mentioned in job posts
Pain points and where Argano can add value
3. Map the Tech and Opportunity Fit: Uncover what systems they use today and identify where Microsoft and Argano solutions can support modernization, integration, or AI transformation.
4. Build a Persona-Based Strategy: Tailor messaging for each stakeholder. What matters to them? What case study will resonate? What problem can we solve? Then map a custom outreach sequence with Jeb Blount’s Fanatical Prospecting framework and my own voice.
5. Humanize the Outreach: Now it’s time to write like a real person. I blend the AI-generated structure with what I’ve learned from Chris Orlob so my message actually lands and doesn’t sound like it came from a robot in a rush.
And that’s just the research phase.
I still have to land the meeting, ask the right questions, and prove through every conversation that Argano, Microsoft, and I are the real deal when it comes to solving business problems. If I can’t do that, don’t buy from me.
🗒️ Field Notes
This week I found myself in the middle of the "how many bots is too many bots" conversation. One agent is not a strategy.
A single agent trying to do five jobs with no context is like an intern with a million sticky notes. Confused, overwhelmed, and not helping anyone.
I mapped out one client workflow and realized we needed three agents just to route a single request. That is not overkill. That is just what the process actually needs.
Multi-agent systems used to feel like an advanced AI thing. Now I see them like building a real team. Give each agent a role, define the handoffs, and get out of the way.
The biggest shift for me has been designing the ideal experience first, then using AI to support it. When you reverse that, things get messy fast.
Next, we are going to start at the very beginning. Because smart orchestration starts with clarity—on the roles, the rhythm, and the reason your agents exist in the first place.
Final Thought: ✨ This is where the magic happens.
It’s not just one seller and one BDR anymore. It’s a squad. A stack. A system. A network of research agents, outreach tools, and real-time insights that help us sell smarter, not harder. I still have to land the meeting, ask the right questions, and prove in every conversation that Argano, Microsoft, and I are the real deal. If I can’t do that, don’t buy from me.
But when AI helps me prep, prioritize, and personalize at speed? That’s not just automation. That’s strategy. That’s squad energy.
🫖 Spilling the tea? Absolutely. This is how I’m using Microsoft tech right now to work faster, get sharper, and bring more value to the table.
And listen—nothing replaces the cold-call brilliance of 👑 Selling Sara (aka. Sara Plowman Uy), but crafting that call with data-backed insight? Game. Changer.
Coming up next: 🎶 “Let’s start at the very beginning. A very good place to start.” - The Sound of Music. Before you build an agent or think about handoffs and memory, you have to map the process. Even if it’s messy. Especially if it’s messy. Agents can’t follow vibes, they need a script. Next week we’ll break down how to turn that “I just do it in my head” chaos into something visual, repeatable, and AI-ready. Think first guitar lesson, we’re starting with basic chords, not SoFi Stadium.
Subscribe to stay in the loop as we keep making AI less sci-fi and more strategy.
Share this with someone whose AI plan still starts and ends with “just use ChatGPT.”
Follow for weekly drops where tech, tactics, and Taylor Swift energy collide.
Because if you’re not building the squad... you can’t sit with us. 💼✨
#InBetaWithBritt #CopilotStudio #AgenticAI #SalesOps #BusinessApplications #ProcessWithPurpose #SquadNotSolo #ModernSelling #DigitalOpsGlowUp #RealTalkRealTech