Agentic AI
Session Slides
All slides from the session with speaker notes. Expand any slide for the full script.
Slide 1
2 minutes
Claude Dispatch: Build Your Decision Architecture
Agentic AI Essentials | Micro Session
Claude Dispatch: Build Your Decision Architecture**
The next step after building agents is knowing which agent handles what. That's not a tool - that's a decision architecture.
Welcome to Claude Dispatch. You have built agents. Maybe several of them. Now you're facing a new problem: requests come in from all directions, and you don't have a human in the middle anymore routing them. That's where dispatch comes in. A dispatcher doesn't build things. It reads what's coming in, figures out what type of work it is, and sends it to the right specialist. Today we're learning how to build that system so your agents can coordinate without you managing everything.
Slide 2
4 minutes
Why Generalists Underperform
The Generalist Problem
One agent tries to do everything
Jack of all trades, master of none
Slower responses, lower quality
No specialization means no expertise
Specialist Outperforms Every Time
Does one thing extremely well
Knows its constraints
Produces better output
Fails faster on out-of-scope work
Here's the pattern. Most people build one big agent and ask it to handle sales questions, support tickets, compliance reviews, and marketing copy. That agent is slow. It hedges. It second-guesses itself because it doesn't have deep context for any single domain. Compare that to a specialist agent that only handles sales questions. That agent knows the product inside and out. It knows what questions lead to closes. It's faster and better. The reason is simple: specialization is more powerful than generalization. A dispatcher lets you build that specialized team without managing the handoffs yourself.
Slide 3
5 minutes
What a Dispatcher Does
The Dispatcher's Job
1. Reads the incoming request
2. Identifies what type of work it is
3. Finds the right specialist agent
4. Routes the request downstream
5. Returns the specialist's response
The Dispatcher is Not a Bottleneck
It makes one decision per request
It doesn't do the work itself
It doesn't slow things down
It speeds up by specializing
A dispatcher is simple. A request comes in. The dispatcher reads it - that takes seconds - and asks one question: what type of work is this? Then it knows which specialized agent to send it to. The dispatcher is not doing the work. It's just directing traffic. And because it's directing traffic to specialists instead of spreading the work across one general agent, everything gets better. Speed goes up. Quality goes up. The only thing the dispatcher needs to know is how to categorize the request and which agent handles which category.
Slide 4
6 minutes
How to Categorize Your Own Work
Find Your 4-6 Categories
Question 1: What types of requests do I get most often?
Question 2: Do they require different skills?
Question 3: Can I train a specialist agent for each?
Example Categories
1. Sales questions - needs product knowledge and closing skills
2. Support tickets - needs troubleshooting and patience
3. Content creation - needs writing style and brand voice
4. Data analysis - needs SQL and statistical thinking
5. Compliance review - needs legal knowledge
Start here. Don't overthink it. Look at the last month of requests you handled. What patterns do you see? Most organizations have 4 to 6 distinct types of work. A sales team might have: lead qualification, objection handling, proposal generation, and deal structure. A support org might have: technical troubleshooting, billing questions, feature requests, and complaints. Write them down. For each one, ask yourself: would I train someone differently to handle this category versus that one? If the answer is yes, you've found a category. Your dispatcher needs to recognize these patterns. Your specialist agents need to own them.
Slide 5
7 minutes
Building the Dispatch Map
The Dispatch Map Structure
For Each Category:
Trigger: What signals this type of request?
Specialist Agent: Who handles it?
Success Criteria: What does good look like?
Example: Sales Dispatch
Trigger: "Does this have a pricing or buying question?"
Specialist: Sales Agent trained on products and pricing
Success: Customer gets a clear answer within 2 minutes
Example: Support Dispatch
Trigger: "Is this a technical problem?"
Specialist: Support Agent with troubleshooting training
Success: Ticket resolved or escalated with clear next steps
Your dispatch map is a decision tree that an agent can follow. For each category of work, you write down three things. First: the trigger. This is what signals that a request belongs in this category. It might be a keyword. It might be a question pattern. Second: which specialist agent handles it. That specialist has been trained or configured to do exactly this work and nothing else. Third: what success looks like. You are defining the output quality that the specialist should aim for. The dispatcher uses this map every time a request comes in. Read the request. Find the trigger that matches. Route to the specialist. Done.
Slide 6
4 minutes
Claude Dispatch vs Manual Routing
When Manual Routing Made Sense
You had a human filtering requests
That human understood the business
Quality was high but cost was high
Why Automation Makes Sense Now
Volumes are growing
Humans are tired
AI can learn your routing rules
Cost per route drops to near zero
The Trade-off
Manual: high quality, high cost, limited scale
Automated: high quality at scale, low cost, frees your team
Five years ago, you had a person reading every request and routing it to the right team. That worked. Quality was high because humans understand nuance. Cost was also high. Now your volume has tripled. That human is drowning. And here's the thing: that human was following rules, even if they didn't write them down. An AI dispatcher can learn those rules and apply them consistently at any scale. You don't lose quality. You gain speed and free up the human to do something more valuable than routing requests.
Slide 7
2 minutes
Building Your First Dispatch System
Start Small
1. Pick one category of work
2. Write the trigger clearly
3. Build or configure a specialist agent
4. Test the routing 10 times
5. Add more categories as it works
Common Mistakes
Making categories too broad
Writing triggers that are too vague
Expecting 100% accuracy on day one
Not updating as business changes
Don't try to build the perfect dispatch system on day one. Start with one category of work that you handle regularly and that would benefit from specialist expertise. Write down the trigger as clearly as you can. Maybe it's keywords. Maybe it's a pattern in how the request is written. Build a specialist agent that handles that work. Test it 10 times. Then add another category. Each time you add a category, you're making your system smarter and faster. And here's the key: your dispatch map is not set in stone. As your business changes, your categories change too. Update them. Keep the map alive.
Slide 8
2 minutes
Why This Matters
Specialization is Power
Specialist agents outperform generalists
Dispatcher routes without slowing down
Team scales without growing headcount
Quality improves as agents specialize
You Now Have a Decision Architecture
Requests route automatically
Each agent knows its domain
Humans focus on strategy and exceptions
The system gets better every week
This is where your AI program stops being a tool and starts being a system. You've moved from "I have an agent that helps me" to "I have a team of specialist agents that coordinate automatically." That's a fundamentally different level of capability. One agent answering questions is nice. A team of specialists routing work to each other and producing expert-level output at scale - that's when you start seeing real business impact. Your dispatch architecture makes that possible.