Blog 3
Agentforce in action: 4 case studies for SMEs
After an initial introduction to Agentforce and the construction of an AI agent, it is time to see what this looks like in practice. What types of AI agents are already being used today in companies like yours? And what does it deliver?
Below are four applications of Agentforce among Flemish SMEs.
1. Call summariser for customer service teams
What does the agent do?
After every phone call or chat conversation with a customer, the agent automatically creates a summary. That summary is added to the customer record in Salesforce, along with keywords and a sentiment analysis.
Why useful?
Employees no longer need to retype notes. New colleagues or successors immediately see the full story. In addition, the agent helps to spot trends faster, such as repeated complaints or queries.
Impact:
- 5 to 10 minutes of time saved per interaction
- Better follow-up of absences
- More structure in customer files
2. Informative helpdesk agent for internal questions
What does the agent do?
This agent gives internal employees quick answers to questions such as “Where can I find our invoicing policy?”, “How does sick leave work?” or “What is our customer X’s IBAN number?”. The agent gets its information from internal documentation or CRM data.
Why useful?
In small companies, there are often a few “knowledge carriers”. By centralising that information in an agent, you save time and avoid losing crucial info.
Impact:
- Fewer interruptions and emails
- Smoother onboarding of new employees
- Faster access to practical info
3. Sales agent for lead qualification
What does the agent do?
For incoming leads, the agent automatically analyses the profile (e.g. company activity, location, history) and fills in some fields based on external data. It also makes suggestions for follow-up actions.
Why useful?
Sales staff often waste time looking up and completing data. This agent does it for them, reducing the time until first contact.
Impact:
- Faster lead follow-up
- Better data quality in CRM
- Higher conversion rate
4. Follow-up assistant for offers
What does the agent do?
The agent automatically follows up open quotes. It detects which quotes are open for a long time, suggests sending a follow-up e-mail and can even generate a personalised message based on previous interactions.
Why useful?
Quotes that are not followed up are a missed opportunity. This agent helps not to forget leads, and increases the chances of getting a deal.
Impact:
- 15-20% higher quotation conversion rate
- Less succession stress for employees
- Better timing of communication
Which agent is feasible for your business?
The examples above show that Agentforce is not just something for large companies. Even within an SME environment, where speed, clarity and scalability are important, small AI agents can make a big difference.
You don’t have to deploy everything at once. One well-functioning agent automating a daily task is often enough to feel impact.
In the next part, we will take a closer look at governance and security: how do you keep control over what AI agents do, and how do you make sure everything stays compliant with your internal rules and GDPR?
In the meantime, let us know if you have any questions or would like a demo of any of these practical examples.
