We have Einstein — do we need Agentforce?

Einstein is copilots and features. Agentforce is autonomous agents that execute — different pattern, different value.

Data Cloud is required?

For grounded, cross-object agents — yes. For simpler scopes we can start on Service Cloud alone.

How is trust handled?

Einstein Trust Layer: prompt masking, secure retrieval, no data retention by LLM providers, and audit.

Migration from legacy Einstein Bots?

Yes — we replatform to Agentforce with equivalent or better containment.

Agentforce architects, Service Cloud developers and Data Cloud engineers on managed contracts.

Salesforce · Agentforce

Agentforce agents — grounded, governed, in production.

Autonomous service and sales agents grounded in Data Cloud, wired into Service Cloud actions, gated by the Einstein Trust Layer.

6-8 wks

First Agentforce agent live

40%+

Case deflection

100%

Trust-layer gated

Salesforce Agentforceplatform signature

Salesforce Agentforce

Data Cloud · Service Cloud · Einstein

Agentforce

Data Cloud

Service Cloud

Einstein Trust

Live

6-8 wks

AHT

↓30%

100%

Role-specific

Why teams book Agentforce with Pronix

6-8 wks — First Agentforce agent live
Use case design
Build
Certified pod

Book your working session

30 minutes, no slides. A senior delivery lead reviews your stack and gives you a concrete pilot outline.

Trusted by enterprise CX & digital teams

Salesforce Agentforce
Data Cloud
Service Cloud
Einstein
MuleSoft
Slack

What you get

A working pilot in 90 days — not a 40-page slide deck.

Use case design

Rank agent candidates on value and risk. Pick one for a 90-day production track.

Build

Agent design, Data Cloud grounding, Service Cloud actions, Flow orchestration and Trust Layer configuration.

Certified pod

Salesforce-certified Agentforce architects and Service Cloud consultants running the delivery.

Explore an Agentforce Use Case →

FAQ

Questions buyers ask us first.

We have Einstein — do we need Agentforce?: Einstein is copilots and features. Agentforce is autonomous agents that execute — different pattern, different value.
Data Cloud is required?: For grounded, cross-object agents — yes. For simpler scopes we can start on Service Cloud alone.
How is trust handled?: Einstein Trust Layer: prompt masking, secure retrieval, no data retention by LLM providers, and audit.
Migration from legacy Einstein Bots?: Yes — we replatform to Agentforce with equivalent or better containment.
Talent?: Agentforce architects, Service Cloud developers and Data Cloud engineers on managed contracts.

Ready to see it in your stack?

30 minutes with a delivery lead. Your architecture, your KPIs, a concrete pilot outline you can defend internally.

Explore an Agentforce Use Case →