Deploy your first autonomous digital workforce.
Agentforce is Salesforce's platform for building autonomous agents that reason, plan and act. As an Agentforce-focused consultancy, CRMPRACTICE designs the reasoning model, guardrails, actions and data grounding needed to deploy agents safely at enterprise scale.
What Salesforce offers on Agentforce.
Agentforce is Salesforce's platform for autonomous AI agents. It includes Agent Builder and Agent Studio for designing topics, actions and guardrails, the Atlas reasoning engine, Prompt Builder and Model Builder, prebuilt Service, Sales, Commerce and Employee agents, and Agent Analytics — all grounded in Data Cloud and callable through the Agent API.
What we hear from Agentforce leaders.
- 01Agent pilots demoed well but never made it to production — no reasoning design, evals or grounding.
- 02Data Cloud grounding, guardrails and topic scoping are undefined, so risk and legal are blocking rollout.
- 03The board wants an Agentforce ROI story — cases deflected, meetings booked, cost per resolution — not slides.
Where Agentforce programmes get stuck.
Agent pilots stall at demo stage — no reasoning design, evals or grounding strategy.
Data Cloud grounding is missing, so agents hallucinate or lack context.
Guardrails, topic scoping and human-in-the-loop patterns are undefined.
There is no observability, eval harness or ROI model tying agents to business KPIs.
Where we automate Agentforce — end to end.
Every engagement targets a specific set of automation and AI plays, scoped so value shows up in weeks — not quarters.
Autonomous service, sales & ops agents
Reasoning-first agents for resolution, qualification, RevOps and employee support.
Grounding on Data Cloud
Retrieval, calculated insights and zero-copy federation as the agent knowledge layer.
Actions & tool orchestration
Apex, Flow, MuleSoft and external API actions exposed safely to agents.
Evals, guardrails & observability
Prompt evals, toxicity/PII guardrails and end-to-end agent analytics.
What we deliver on Agentforce
Agent Builder & Studio
Design reasoning-first agents with topics, actions and guardrails.
Prompt & Model Builder
Custom prompts, model routing and evaluations.
Digital Labor Platform
SDR, Service, Commerce and Employee agent templates.
Agent Analytics & APIs
Observability, evals and headless agent embedding.
Reusable assets we bring to your Agentforce programme.
Battle-tested blueprints, reference builds and diagnostics that compress discovery and de-risk delivery from day one.
Agentforce Readiness Assessment
4-week diagnostic covering use cases, data grounding, guardrails, evals and ROI model.
Agent Reference Library
SDR, Service, Commerce, Employee and RevOps agent templates with topics, actions and evals.
Eval & Observability Harness
Prompt evals, regression suites, PII/toxicity guardrails and analytics dashboards.
Systems we routinely wire into Agentforce.
MuleSoft-led API architecture with reference connectors and reusable patterns across the systems your teams already rely on.
Which edition fits.
Agentforce Service Agent
Priced per conversation; typical unit economics beat legacy chatbots and IVR.
Agentforce Sales Agent (SDR)
Priced per conversation; blended with human SDRs for pipeline generation.
Agentforce Platform (Agent Builder)
Included with Einstein 1 for custom agents; consumption applies to Data Cloud and model usage.
Legacy → target state.
- 01Legacy Einstein Bots / IVR flows → Agentforce Service Agent with reasoning and grounding.
- 02POC chatbots on OpenAI / Copilot → Governed Agentforce with evals and observability.
- 03Custom-built LLM apps → Refactor onto Agent Builder + Data Cloud grounding.
A four-stage delivery model.
See the full methodology for artefacts, cadences and governance at each stage.
Discover
Two-week diagnostic on your Agentforce landscape, org health and target outcomes.
Design
Reference architecture, data model and phased roadmap signed by a Principal Architect.
Deliver
Agile pods with embedded architects, hypercare and change enablement built in.
Evolve
Managed services, evals and quarterly value reviews to compound the return.
Where Agentforce moves the P&L.
We frame every Agentforce programme against three impact vectors — so the business case survives beyond go-live.
- Revenue
40% case deflection
Faster cycles, higher conversion and more productive teams operating on Agentforce.
- Cost to serve
3.1x SDR conversation volume
Automation, AI deflection and consolidation of overlapping tools and processes.
- Time to value
6 wk first agent live
Fixed-price discovery, reusable accelerators and Principal Architect leadership from day one.
How CRMPRACTICE engages
Every engagement starts with a fixed-price discovery — a Principal Architect leads a 2-week diagnostic and delivers a de-risked roadmap before any build begins. See engagement models for commercial options.
- 01Agentforce readiness assessment
- 02Agent design & reasoning workshops
- 03Data Cloud grounding architecture
- 04Autonomous Service / Sales / Commerce agent build
- 05Guardrails, evals and governance
Model the Agentforce business case.
Model autonomous agent deflection, containment and payback across service and sales workflows.
Risk reflects change-management complexity, integration surface and AI governance load — CRMPRACTICE accelerators reduce this on delivery.
- Only 5% of ARPU × retention lift counted (conservative).
- Runtime cost scales with volume; includes eval and guardrail tooling.
- Payback typically 3–6 months once containment > 30%.
Directional model for early business cases. CRMPRACTICE will validate with your data during discovery.
Ready to accelerate your Agentforce programme?
Speak with a Principal Architect about your roadmap, current state and success metrics.
Book a consultation