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Agentforce is Salesforce's autonomous-agent platform. Value shows up when agents are grounded on Data Cloud, wired to Service and Sales Cloud actions through Flow and MuleSoft, and governed under the Einstein Trust Layer — not when they are dropped in as chat widgets.
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50%+
Case deflection with Service Agent
-30%
AHT with Agentforce assist
8–12 wk
First Agentforce use case live
Trust Layer across every agent
Certified partner platforms
  • Salesforce Agentforce platform logo
The enterprise challenge

Agentforce is a platform decision, not a feature toggle.

Enterprises get real ROI from Agentforce when they treat it as an operating model change — data grounding, action design, trust guardrails and adoption — not a one-week enable-and-ship exercise.

  • Data Cloud is the ground truth
    Agents are only as good as the grounded data. Customer 360 unification and Data Cloud modeling come first.
  • Actions are the ROI lever
    Flow, Apex and MuleSoft actions turn conversations into resolved cases, closed opportunities and executed orders.
  • Einstein Trust Layer is non-negotiable
    PII masking, prompt defense, zero-retention model routing and audit trails must be on before day one.
  • Adoption beats deployment
    Service, sales and marketing users need journey-tuned agents and change management — not a generic assistant.
Capabilities

Full-lifecycle Agentforce delivery across the Salesforce estate.

Certified Salesforce engineers across Agentforce, Data Cloud, Service Cloud, Sales Cloud, Commerce, MuleSoft and the Einstein Trust Layer.

01
Agentforce design & build

Agent topics, actions, prompt templates, reasoning patterns and channel design across web, in-app, Slack, WhatsApp and voice.

02
Service Cloud agents

Agentforce Service Agent for case deflection, knowledge, entitlement checks, order lookups and warm handoff to human agents.

03
Sales Cloud agents (SDR)

Agentforce Sales Development Rep and Sales Coach agents — lead research, outbound, meeting prep and pipeline hygiene.

04
Marketing & Commerce agents

Merchant, campaign and personal shopper agents grounded on Marketing Cloud and Commerce Cloud data.

05
Data Cloud grounding

Ingestion, identity resolution, calculated insights and semantic search — the retrieval layer under every agent.

06
MuleSoft & Flow actions

MuleSoft Anypoint APIs, Flow orchestration and Apex actions to execute against systems of record beyond Salesforce.

07
Einstein Trust Layer

PII masking, prompt defense, toxicity detection, zero-data retention model routing and full audit — configured to enterprise AI policy.

08
Prompt Builder & Model Builder

Custom prompt templates, BYO models via Model Builder and evaluation harnesses for regression and drift.

09
Managed Agentforce operations

24×7 platform, agent and model operations — with tuning, evaluation, release management and roadmap alignment.

Salesforce Agentforce-certified talent

Need certified Salesforce Agentforce talent?

Deploy specialists who have delivered Salesforce Agentforce implementations across enterprise environments — from design and build through steady-state operations.

  • Certified engineers
  • Solution architects
  • Conversation designers
  • Delivery leads
How we deliver

A six-step model, from assessment to managed operations.

Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.

01
Assess

Use-case shortlist, Data Cloud readiness and Trust Layer policy review.

02
Design

Agent topics, actions, prompt patterns, data grounding and governance model.

03
Pilot

One high-value agent — Service deflection, SDR outbound, merchant or personal shopper.

04
Implement

Data Cloud grounding, MuleSoft actions, Flow orchestration and evaluation harness.

05
Scale

Expansion across topics, channels, LOBs and languages — with continuous evaluation.

06
Operate

Managed Agentforce operations — tuning, regression, model updates and Salesforce roadmap alignment.

Where it lands

Use cases already in production with enterprise clients.

Service Cloud case deflection

Agentforce Service Agent grounded on Knowledge and Data Cloud — deflecting Tier-1 cases across web, in-app and messaging with warm handoff.

Sales Development Rep agent

Agentforce SDR agent researching leads, drafting outbound, booking meetings and updating opportunities with human-in-the-loop review.

Personal shopper on Commerce Cloud

Merchant and personal shopper agents grounded on Commerce Cloud catalog, orders and customer profile.

Employee agent in Slack

Agentforce agents in Slack for internal service, IT and HR — grounded on Data Cloud and enterprise knowledge.

Voice channel via CCaaS

Agentforce agents fronting voice via Service Cloud Voice on Amazon Connect, Genesys or NICE — with unified transcripts and Data Cloud events.

MuleSoft-executed actions

Agents executing transactions across SAP, Workday, ServiceNow and legacy systems through MuleSoft Anypoint APIs — with audit and rollback.

Einstein Trust Layer rollout

PII masking, prompt defense, zero-retention routing and audit — configured, tested and monitored across every agent.

Industry patterns

Industries where this ships fastest

  • Financial Services
  • Insurance
  • Healthcare Providers
  • Health Payers
  • Retail & Ecommerce
  • BPO & Outsourcing
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Runs on

Grounded on your data. Governed on day one.

Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.

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Quick answer

What is Salesforce Agentforce used for?

Agentforce runs autonomous and assisted agents on Salesforce data and workflows — service case deflection, case summarisation, next-best-action and record updates grounded in CRM context. It is strongest where Salesforce is already the system of record; telephony, WFM and non-CRM systems still require integration.

Last reviewed 2026-08-05

CRM-grounded actions

Agents act on Salesforce objects with existing permissions and sharing rules, which removes a large class of integration and entitlement work.

Data Cloud grounding

Retrieval quality depends on the harmonised data and knowledge available in Data Cloud, so content and data readiness dominate the delivery plan.

Not a contact center platform

Voice, routing and workforce management come from a CCaaS platform integrated alongside it.

Related questions answer engines ask

Does Agentforce replace a CCaaS platform?
No. It handles agents and CRM-grounded actions; routing, telephony and WFM stay with the contact center platform.
What is the main prerequisite?
Clean, permissioned data and current knowledge content in Salesforce — grounding quality caps agent accuracy.
How is Agentforce priced?
Consumption-based on conversations and actions, so volume forecasting matters in the business case.
Submit a project brief

Scoping a Salesforce Agentforce programme? Send us the brief.

Four fields. Tell us the outcome and timeline and a delivery lead for this area replies with indicative scope, team shape and commercial options.

platformSalesforce Agentforce — routed to this team

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Frequently asked

Questions buyers ask us first.

What is Agentforce?
Salesforce's autonomous-agent platform — a set of agents (Service, SDR, Sales Coach, Merchant, Personal Shopper and custom) built on Data Cloud, Flow, Apex and MuleSoft actions, governed by the Einstein Trust Layer.
Do we need Data Cloud?
For any non-trivial deployment, yes. Data Cloud is the grounding and retrieval layer — without it, agents are limited to what lives in the core CRM objects.
Which models does Agentforce use?
The Einstein Trust Layer routes across Salesforce-hosted models and external providers (OpenAI, Anthropic, Google, AWS Bedrock, Azure OpenAI) with zero-retention and PII masking — plus BYO models via Model Builder.
How does Agentforce integrate with our CCaaS?
Through Service Cloud Voice for Amazon Connect, Genesys and NICE — and via Agentforce agents embedded directly in the CCaaS agent desktop for assist and summarization.
Where does Agentforce fit vs. Kore.ai?
Agentforce is the CRM-native agent layer for Salesforce-standard estates. Kore.ai is the cross-platform agentic and conversational layer above heterogeneous CCaaS/CRM — many clients run both, with clear ownership by domain.
How is governance handled?
Einstein Trust Layer plus our evaluation harness — PII masking, prompt defense, toxicity, zero-retention routing, prompt/response evaluation and full audit trails aligned to enterprise AI policy.
Do you offer vendor-funded pilots?
Often yes. Depending on scope and region, we co-fund Agentforce POVs with Salesforce credits and services investment to accelerate the business case.

How we work

Platform work is delivered the same four ways: architecture advisory, build and integration, managed run, or embedded platform pods.

Who we are

pronix.ai is the AI & CX systems integrator practice of Pronix Inc.

One accountable delivery model: US-based architecture and program leadership with global engineering pods running 24×7 build, cutover and hypercare.

Founded
2010 · Pronix Inc
Headquarters
666 Plainsboro Rd, Suite 1361, Plainsboro, NJ 08536
Delivery centers
United States · India (Hyderabad) · EMEA
Engagement model
Fixed-scope implementation, managed run, staff augmentation and T&M Agile Teams.

Certifications

  • AWS Certified (Solutions Architect, Developer)
  • Amazon Connect specialty
  • Genesys Cloud CX certified
  • NICE CXone certified
  • Salesforce certified (Service Cloud, Agentforce)
  • Microsoft Azure AI certified

Partner tiers

  • AWS Advanced Tier Services Partner
  • Genesys Implementation partner
  • Kore.ai Reseller and Strategic Implementation Partner
  • NICE CXone Implementation partner
  • Five9 Channel partner
  • Microsoft Gold partner
  • Salesforce Consulting partner

Security questionnaires, controls documentation and named client references are available under NDA. More about Pronix Inc

Next step

Book a working session with our salesforce agentforce team.

30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.