Airkit com has now been integrated as part of Salesforce Agentforce, a platform for building and customizing autonomous AI agents. It enables the creation of AI agents that can support employees and customers 24/7 without writing code, and fully integrates with the Salesforce ecosystem.
Purpose The platform is mainly used in scenarios such as customer service, employee support, appointment scheduling, sales development, and product recommendations. Agents can autonomously handle customer inquiries, resolve cases, manage orders, and troubleshoot issues, and can also help employees with leave requests, answer HR policy questions, onboard new employees, resolve help desk tickets, and more.
Key Capabilities
- Customer service: resolve open cases, draft follow-up emails, escalate to experts, route incoming calls, retrieve customer history, record interaction notes, schedule technician visits, update ticket status, and confirm parts availability.
- Employee service: handle leave requests, answer HR policy inquiries, onboard new employees, qualify inbound leads, update opportunities, complete renewal deals, resolve help desk tickets, remediate system alerts, and reset user access permissions.
- Prebuilt agents: provide ready-to-use agents for roles such as sales, service, and HR, including task-specific subagents, prebuilt actions, and Salesforce context.
- Continuous work: agents can pursue goals across days and weeks, retain context, adjust plans, and complete multi-touch workflows under human supervision.
- Performance optimization: built-in tuning partners can identify bottlenecks, understand performance, and provide actionable recommendations.
- Reusable capabilities: create reusable AI teammate capabilities and bring them into existing work tools.
- Multi-agent collaboration: route work, share context, and coordinate specialized agents to handle complex customer and operational journeys.
- Agentforce Voice: bring AI-powered voice support to every channel.
- Agentforce Observability: monitor, analyze, and optimize agent performance in near real time.
- Agentforce MCP support: enable secure, open interoperability through verified MCP server support from AgentExchange partners.
- Multi-agent orchestration: build collaborative AI agent teams to solve complex problems faster.
How to Use Build agents through the low-code Agent Builder. Users can create standard and custom subagents and actions using existing Salesforce platform tools, use prompts based on trusted enterprise data, use Flows to create cross-systemautomation, connect to any system using MuleSoft API connectors, and create custom code and business logic using Apex and JavaScript. Users can observe an agent's action plan and test its responses in Agent Builder.
Use Cases
- Customer service: provide always-on support, answer questions, resolve cases, manage orders, and troubleshoot issues.
- Employee support: provide every employee with task-specific, highly specialized AI agents.
- Appointment scheduling: schedule appointments based on history and context, and send follow-up, rescheduling, and reminder notifications.
- Sales development: autonomously answer product questions, handle objections, and book meetings for sales representatives.
- Product recommendations: automate event information communication, book sessions, and provide event logistics and surveys.
Limitations The materials do not clearly specify the platform's specific limitations, technical thresholds, or usage constraints. Regarding pricing, the materials mention that Salesforce customers can start using Agentforce for free through Salesforce Foundations, and pricing options include Flex Credits, Resolutions, or per-user licensing, but no specific prices are provided.
