Service Agent
Resolves cases end-to-end on web, in-app, and across messaging channels. Handles deflection-grade questions, escalates the rest, logs everything.
Salesforce's flagship agentic platform — implemented properly, shipped quickly, and tuned continuously. We design, build, and operate Agentforce agents that work alongside your team across sales, service, and revenue operations.
Agentforce is Salesforce's platform for building, deploying, and managing autonomous AI agents inside the world's #1 CRM. Built on the Atlas reasoning engine, agents plan and execute multi-step work — grounded in your Data Cloud, secured by the Einstein Trust Layer, and orchestrated through Agent Builder.
With Agentforce 360 — Salesforce's 2025–2026 platform expansion — agents now operate across voice, omnichannel customer journeys, computer-use workflows, and Slack. The result is a unified digital labor layer that scales customer-facing capacity without scaling headcount.
Salesforce is reframing the company itself around the Agentic Enterprise — a future where AI agents handle a growing share of customer-facing and operational work. Pluvo is built to make that real for SMBs, today.
Each comes with proven use-case patterns, but every implementation is tailored to your data, processes, and customers.
Resolves cases end-to-end on web, in-app, and across messaging channels. Handles deflection-grade questions, escalates the rest, logs everything.
Real-time deal coaching, call analysis, next-best-action prompts. Helps reps close more deals without slowing them down.
Qualifies inbound leads in seconds, books meetings, follows up — never sleeps, never forgets a touch.
Embedded in your portal, app, or Experience Cloud site — guiding customers through onboarding, billing, and self-service.
Custom agents for finance, HR, and operations. Order lookups, policy questions, internal triage — all inside Slack.
Bespoke agents on Agent Builder — your topics, your actions, your data, your guardrails. We build them with you.
A repeatable seven-stage process that takes you from "we should look at agents" to a production deployment your team trusts.
Goals, data, processes, KPIs. Pick the highest-leverage first agent.
What the agent does, the boundaries it respects, the actions available to it.
Wire Data Cloud, knowledge articles, and APIs so the agent answers from truth.
Trust Layer config, masking, prompt defense, escalation rules, audit logging.
Structured AI evaluations, regression suites, human-in-the-loop validation.
Shadow mode, soft launch, full launch — staged with measurable checkpoints.
Trace analysis, topic tuning, action expansion. Compounding gains every month.
Add more agents on the same foundation, faster each time.
| Legacy chatbots | Salesforce Agentforce | |
|---|---|---|
| Decision making | Rule-based decision trees, scripted flows | Atlas reasoning engine — plans multi-step actions |
| Data awareness | Limited or static knowledge base | Grounded in Data Cloud — unified, real-time customer context |
| System actions | Read-only, hand-offs only | Reads and writes to CRM, ERP, external APIs via tools |
| Trust & security | Bolt-on, often inconsistent | Einstein Trust Layer: masking, prompt defense, zero retention |
| Channels | Web chat (sometimes more) | Web, mobile, voice, email, Slack, WhatsApp, embedded copilots |
| Build pace | Engineering-heavy or vendor-locked | Low-code Agent Builder + Apex / Flow / MCP for power users |
Anonymized snapshots from Pluvo SMB engagements and Salesforce-published Agentforce benchmarks.
Service Agent deployed in 90 days. Tier-1 deflection on routine billing and onboarding cases — freeing the human team for the cases that actually matter.
SDR Agent qualifies inbound leads in seconds, books meetings 24/7, and updates Salesforce automatically. Pipeline coverage doubled in one quarter.
Custom internal agent in Slack for order lookups, inventory questions, and account history. Saved hours of admin time per week per rep.