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Hello Trailblazers,

I am preparing an Agentforce Solution Design for a client and would like guidance from experienced architects and consultants on how to approach the design comprehensively. 

 

The use case may involve Employee Agent,  Coworker Agent, and Out-of-the-Box Salesforce Agents

, Flex Prompt Template and I want to ensure I am covering all important aspects from business requirements through implementation, licenses, Flex Credit model, governance, and deployment. 

 

Any sample templates, reference designs, or lessons learned from real implementations would be greatly appreciated.

Thank you in advance for your guidance! 🚀 

#Agentforce #SalesforceAI #Solution Architects #AgentforceBuilder #Enterprise Architecture

1 answer
  1. Today, 4:50 PM

    Hi @Jiyaulla Khan Ejaj Khan Pathan

     

     

    For an end-to-end Agentforce solution, I would approach the design in these key layers: 

     1. Business requirements & use cases → 2. Agent/persona & topics → 3. Actions, Flows, Apex and integrations → 4. Data/security → 5. Prompt/Flex Prompt Templates → 6. Licensing & Flex Credits → 7. Guardrails/governance → 8. Testing & monitoring → 9. Deployment. 

    For Employee, Coworker, and standard Salesforce Agents, document the purpose, users, access, topics, actions, escalation path, and data sources for each agent separately. 

    A simple architecture diagram + use-case/decision matrix covering these areas usually makes the solution much easier to design and present end-to-end.  

     

    Hope This Helps!!

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Hi Salesforce Community,

I'm currently exploring Salesforce Agentforce licensing and am trying to better understand the difference between Metered and Unmetered licenses.

From the documentation and various discussions, I understand that both licensing models support Agentforce capabilities, but I'm looking for more practical guidance on when each model should be used.

Specifically, I'd appreciate clarification on the following:

  1. What exactly is considered a "metered" interaction or consumption in Agentforce?
  2. How does Salesforce measure usage under a Metered License (conversations, actions, tokens, requests, etc.)?
  3. What are the limits and cost implications of Metered Licensing?
  4. How does an Unmetered License work in comparison?
  5. Are all Agentforce features available under both licensing models?
  6. What are the recommended use cases for choosing Metered vs. Unmetered licensing?
  7. For a scenario with:
    • Internal Employee Agents
    • Customer-facing Service Agents
    • High-volume automated interactions
  8. Which licensing model would be more cost-effective?
  9. Is there any way to monitor or forecast Agentforce consumption before deciding on a licensing strategy?

If anyone has real-world implementation experience, licensing guidance from Salesforce, or lessons learned from customer deployments, I would greatly appreciate your insights.

Thanks in advance! 

 

#Agentforce #SalesforceAI #SalesforceArchitect #Salesforce Developer #Salesforce Admin

2 answers
  1. Sep 18, 7:53 AM
    •  Metered: Agentforce usage is charged based on consumption; for agentic usage, the main unit is generally actions, not simply tokens or conversations.  
    • Flex Credits: A standard Agentforce action currently consumes 20 Flex Credits, while custom actions are also measured by the number of actions called. 
    • Unmetered: Certain licensed users/features can use qualifying Agentforce capabilities without consuming Flex Credits, when the required licensing, permissions, and execution conditions are satisfied. 
    • Important: “Unmetered” does not mean everything in the agent is free; underlying services such as Data 360 can still consume credits. 
    • Employee Agents: Agentforce add-ons provide unmetered Agentforce usage for employees; the Agentforce User License, by contrast, provides metered employee usage and requires Flex Credits. 
    • Customer-facing Agents: Salesforce currently offers both Flex Credits (pay per action) and Conversations (pay per conversation) for customer-facing agents. 
    • High-volume usage: Consumption-based pricing makes the cost depend on actual usage, so action/conversation volume and the specific features used need to be estimated rather than assuming one fixed cost. 
    • Monitoring: Use Digital Wallet to monitor Agentforce consumption and usage in the org. 
    • Forecasting: Salesforce recommends reviewing actual Digital Wallet consumption and working with your Salesforce Account Executive for contract-specific pricing and usage estimates. 
    • Bottom line: Metered = pay according to usage; Unmetered = qualifying usage included through specific licenses/permissions. Which is more cost-effective depends on your users, volume, features, and contract—not simply whether the agent is internal or external. 

    Also, go through the doc it helps you--->

     Agentforce and Generative AI Usage and Billing | Salesforce Help

      

    Considerations for Agentforce Employee Agent | Salesforce Help

      

    Metering for Agentforce and Generative AI Usage | Salesforce Help

      

    Salesforce Agentforce Pricing | Salesforce 

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Excited to share that I’ve completed the Road to Dreamforce 2026 Quest

on Trailhead! 💙  

 

With 3,200+ points earned, this has been a fantastic learning journey — strengthening my Salesforce skills while exploring the evolving world of AI and the Agentic AI era

.  

 

The #DF26LearningQuest has been a great way to learn, build, and challenge myself while getting ready for #DF26

. 🚀  

 

A big thank you to Trailblazer Quests

for creating such an engaging and valuable learning experience. 🙌  

 

Looking forward to taking these learnings forward, building more, and continuing the journey toward Dreamforce 2026!

🌟  

 

#DF26 #DF26LearningQuest #Salesforce #Trailhead #Trailblazer #AgenticAI #AI #SalesforceAI #LearningJourney 

@WFD Partner Cohort: TDX2630DaysChallenge

 

@Salesforce Developer Group, Dubai, UAE

 

@Agentblazer Community Group

 

@* Salesforce Developers *

 

@Architect Trailblazers

 

@Admin Group, Dubai, UAE

 

@Trailblazer Community Cove

 

 

 

Excited to share that I’ve completed the Road to Dreamforce 2026 Quest on Trailhead! 💙 With 3,200+ points earned, this has been a fantastic learning journey — strengthening my Salesforce skills while

 

 

image.png

 

 

1 comment
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Excited to share a new milestone in my Salesforce AI journey! 🌟I’ve officially earned the 2026 Agentblazer Innovator badge and unlocked the Expeditioner Rank on Trailhead! 🚀Spending time getting han

 

Excited to share a new milestone in my Salesforce AI journey! 🌟

I’ve officially earned the 2026 Agentblazer Innovator badge and unlocked the Expeditioner Rank on Trailhead! 🚀

Spending time getting hands-on practice with Salesforce Agentforce has been an incredible experience—from configuring autonomous agents to testing real-world sales and service scenarios. Proving skills through hands-on practice to build business-ready AI solutions is super rewarding.

Continuous learning and staying ahead with autonomous AI tools is key to driving measurable business outcomes. Onward to the next milestone! 🏔️✨ 

Thank you Trailhead, Thank you

@Tushar Jadav to provide support for my question.

#Salesforce #Agentforce #Agentblazer #Trailhead #AI #ContinuousLearning #SalesforceAI

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🎯 Ruta Completada: Agentblazer Champion 2026! Me complace compartir que he concluido con éxito la ruta de aprendizaje. Un gran reto y una experiencia inolvidable.

 

🎯

Ruta Completada: Agentblazer Champion 2026!

 

Me complace compartir que he concluido con éxito la ruta de aprendizaje. Un gran reto y una experiencia inolvidable. "Convertirse en Agentblazer Champion 2026". Esta experiencia me ha permitido profundizar en la arquitectura y despliegue de soluciones de Inteligencia Artificial autónoma dentro del ecosistema de Salesforce.

 

Comparto un breve balance de este proceso:

 

El mayor desafío técnico:

 El reto principal radicó en la orquestación simultánea entre el Generador de Agentforce y Flow Builder. Configurar con precisión un subagente y sus respectivas acciones, para posteriormente integrarlo con un flujo de Omni-Channel (Route to ESA) enfocado en un sitio de Experience Cloud, demandó un alto nivel de atención al detalle (particularmente en el control de versiones de los flujos y la correcta disposición del componente para la publicación del sitio. Así como el idioma en el cual se configura). 

 

Aprendizaje clave:

 La comprensión integral de la infraestructura que soporta a un agente de IA en Salesforce: desde la ingesta de datos y el motor de razonamiento, hasta la ejecución de acciones, la interacción de subagentes y la habilitación de canales. Ha sido sumamente valioso pasar de una visión abstracta a dominar el flujo técnico completo, entendiendo con exactitud qué ocurre desde la interacción inicial del usuario hasta la ejecución de una acción lógica y segura dentro del CRM. 

 

Proyección profesional:

 Mi objetivo es aplicar este conocimiento en la implementación de soluciones avanzadas de IA conversacional en entornos corporativos reales. Busco optimizar la eficiencia operativa de los equipos de Service y Sales Cloud, elevando la experiencia del cliente final bajo un marco estricto de gobernanza y seguridad de datos. 

 

Agradezco enormemente el soporte de toda la comunidad durante este trayecto. ¡Mucho éxito a quienes se encuentran actualmente cursando la ruta!

#Agentforce #Agentblazer #TrailblazerCommunity #SalesforceAI #Agentblazer  #Agentforce  #Salesforce Developer  #TrailblazerCommunity

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Hi Trailblazers,

 

 I’m currently preparing for my next Salesforce certification and wanted to check if there are any ongoing programs or Trailhead Quests offering 

free certification vouchers

. 

 Kindly let me know if there are any current or upcoming opportunities to avail them. 

 Your guidance would be greatly appreciated. 

 Thank you for your support! 

 

#Certifications

  

 

#Free Voucher

4 comments
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Hi Trailblazers 👋 

I’m a Salesforce Marketing Cloud professional with 5 years of hands-on experience across Journey Builder, Automation Studio, Data Extensions, Contact Builder, CloudPages, and API integrations, and I’ve recently been working closely with Salesforce AI, Data Cloud, and Agentforce-related use cases. 

I’m currently exploring new opportunities in Salesforce Marketing Cloud / Agentforce and would truly appreciate any referrals or guidance from this amazing community. 

📍 Location preference: United States (San Francisco Bay Area – open to hybrid/onsite/remote) 

Alongside opportunities, I’d also love to connect with experienced Trailblazers who can mentor or guide me on upskilling further in Agentforce, AI-driven automation, and advanced SFMC architecture—especially from a real-world implementation perspective. 

Happy to share my background or connect 1:1. 

 Thank you in advance to this wonderful community 🙏 

#TrailblazerCommunity #Salesforcemarketingcloud #Agentforce #Salesforcejobs #SFMC  #SalesforceAI

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Hi Trailblazers 👋

As a Salesforce Developer working through the Agentblazer Legend 2026 journey, I’ve been exploring how Agentforce can drive real business impact.

One key way agents are impacting our business is by bridging natural language interactions with real-time Salesforce actions.

Instead of users navigating multiple objects and workflows, agents can:

  • Interpret user intent using natural language
  • Retrieve and summarize data from multiple Salesforce objects
  • Trigger Apex, Flows, or custom business logic
  • Automate repetitive support and operational tasks

From a developer’s perspective, what excites me most is the ability to design agents that are not just conversational — but action-driven and deeply integrated with the Salesforce platform.

This significantly reduces manual effort, improves response times, and enables teams to focus on higher-value work.

Looking forward to learning how other developers are leveraging Agentforce in their orgs! 🚀

#Agentforce #Agentblazer #Salesforce Developer #SalesforceAI

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Salesforce CPQ users: Still losing deals to quote errors and slow turnaround?  

 

Next Tuesday (Nov 25, 6 PM GMT)

- live demo showing how AI fixes this:  

 

✓ Conversational quote creation  

✓ Automated bundle configuration  

✓ Real-time error detection  

✓ 2-3 week deployment for EU teams  

 

Hosted by @Saurabh Gupta (GPTfy) & @Nishit Rawat

(Bluvium)  

 

Comment "Interested"

for registration link.  

 

What's your #1 CPQ pain point? Salesforce CPQ users: Still losing deals to quote errors and slow turnaround?

 

#SalesforceCPQ #Salesforce CPQ & Billing #SalesforceAI #Revenue Cloud

4 comments
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Salesforce CPQ users: Still losing deals to quote errors and slow turnaround?  

 

Next Tuesday (Nov 25, 6 PM GMT)

 - live demo showing how AI fixes this:  

 

✓ Conversational quote creation  

✓ Automated bundle configuration  

✓ Real-time error detection  

✓ 2-3 week deployment for EU teams  

 

Hosted by @Saurabh Gupta (GPTfy) & @Nishit Rawat

 (Bluvium)  

 

Comment "Interested"

 for registration link.  

 

What's your #1 CPQ pain point? Salesforce CPQ users: Still losing deals to quote errors and slow turnaround?

 

#SalesforceCPQ #Salesforce CPQ & Billing #SalesforceAI #Revenue Cloud

2 comments
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