We design, build and govern Agentforce, Einstein and generative-AI experiences that resolve cases, qualify leads and accelerate revenue teams — grounded in your Salesforce data and built for the enterprise.

Agentforce reasons over your Salesforce data, plans a sequence of steps and uses your existing Flows, Apex and APIs as tools — under enterprise governance. That's a step change from copilot suggestions, and it's where the next wave of CRM ROI lives.
Resolves Tier-1 cases end-to-end: identifies intent, fetches data, applies policy and replies — escalating only when truly needed.
Researches accounts, drafts personalised outreach, summarises calls and updates Salesforce while reps focus on selling.
Grounded in your knowledge base, contracts and Confluence — answers employee and customer questions with citations.
Generates on-brand email, landing-page and ad copy variants — A/B tested and tied to Marketing Cloud journeys.
Agentforce-powered service agents handle order status, refunds, eligibility and policy questions without queueing for a human.
AI sales assistants prioritise the next-best action per opportunity and draft outreach grounded in real CRM data.
Channel-native Slack agents resolve common employee questions and open Salesforce cases when needed.
AI agents diagnose issues from photos and logs, then book the right technician with the right parts.
Reasoning, planning and tool-using AI agents inside Salesforce.
PII masking, audit trails and zero-retention policies for enterprise safety.
Unified, real-time customer profiles that ground every agent response.
Existing automations exposed as tools your agents can safely call.
Every agent we ship goes through prompt review, retrieval grounding, tool-use allowlists, audit logging and a controlled rollout — so AI improves your CRM without putting trust, compliance or brand at risk.
Yes. We've shipped Agentforce agents into live service and sales workflows. The key is scoping — start with a contained, high-volume use case (order status, password reset, lead enrichment) and expand once observability and guardrails are proven.
We use the Einstein Trust Layer (PII masking, zero retention), domain-specific prompt templates, retrieval grounded in your data, tool-use allowlists, and full auditability of every reasoning step.
Not in the use cases we've delivered. Human agents focus on complex, empathy-driven cases while AI handles repetitive, well-bounded work — typically lifting CSAT and lowering cost-to-serve at the same time.
Book a free Agentforce discovery workshop — we'll pick the highest-ROI use case for your business and shape the 60-day delivery plan.