Deploy AI agents that work autonomously within your Salesforce org — handling customer queries, qualifying leads, processing requests, and escalating to humans when needed. RASPSYS LLP designs, builds, and governs Agentforce deployments across Sales, Service, and HR functions.
Agentforce is Salesforce's platform for autonomous AI agents — we translate that capability into working solutions that handle real business tasks in your specific context.
Before building anything, RASPSYS LLP works with your teams to identify the highest-value autonomous agent opportunities — tasks that are repetitive, data-rich, and high-volume — and designs an agent architecture that delivers measurable ROI.
Build agents using Salesforce's low-code Agent Builder — defining topics, actions, and conversation flows that allow the AI to reason, retrieve CRM data, and complete tasks autonomously within defined parameters.
Define clear escalation paths so agents gracefully hand off to human agents when tasks exceed their scope — preserving context, conversation history, and customer sentiment through the transition.
Configure Salesforce's Einstein Trust Layer to ensure all agent interactions are governed by your organisation's data policies — including data masking, zero data retention, toxicity filtering, and a full audit trail.
Deploy pre-designed agent archetypes for the most common Agentforce use cases — SDR qualification agents, customer service deflection agents, order status agents, and field service scheduling agents.
Track agent effectiveness with dashboards that measure containment rate, escalation frequency, task completion rate, and customer satisfaction — enabling continuous optimisation of your agent instructions and actions.
Many Agentforce deployments look impressive in demos but underperform in production. RASPSYS LLP focuses on production-grade implementations — with proper guardrails, fallback logic, and governance — so your agents actually help customers and reduce operational load.
Einstein Bots are rule-based chatbots that follow scripted decision trees — they can handle simple, structured interactions but fail on anything outside their defined flows. Agentforce agents are powered by large language models (LLMs) and can reason, interpret natural language, take multi-step actions, and handle a much broader range of customer queries autonomously.
Agentforce agents also have native access to your Salesforce data through their action library, allowing them to look up records, update cases, and trigger workflows — not just collect information. RASPSYS LLP can help you assess which capability is right for your use case or plan a migration from Bots to Agentforce.
Agentforce is available as an add-on to eligible Salesforce licences. The primary pricing model is consumption-based, measured in Agentforce Conversations — each completed agent interaction consumes a specified number of conversation credits depending on the complexity and channel.
Salesforce also offers Agentforce for Service as a bundle with Service Cloud. RASPSYS LLP will review your existing licences and project usage volumes to model the expected cost and recommend the most appropriate licence structure before any deployment begins.
This is the most important governance question for any Agentforce deployment. Salesforce's Einstein Trust Layer provides the first layer of protection — toxicity detection, data masking, and zero data retention outside Salesforce. Within Agent Builder, RASPSYS LLP configures explicit topic boundaries, instruction guardrails, and fallback behaviours that prevent agents from operating outside their intended scope.
We also implement thorough pre-launch testing with adversarial prompts and edge-case scenarios, and set up ongoing monitoring dashboards so you can identify unexpected agent behaviours quickly and iterate on instructions.
Yes. Agentforce agents can be deployed across multiple channels — including the web Messaging for Web channel, in-app messaging, WhatsApp (via Salesforce's WhatsApp Business integration), and SMS. The same agent configuration applies across channels, though channel-specific formatting and behaviour adjustments are required for each.
RASPSYS LLP designs multi-channel agent deployments that maintain consistent context and escalation paths regardless of which channel the customer started on — providing a seamless experience even when a conversation spans channels.
Book a free Agentforce consultation with RASPSYS LLP. We will help you identify the right use case, assess your org readiness, and design an agent that delivers real value from day one.