Salesforce Agentforce Implementation
Deploy AI agents that handle real work — qualifying leads, resolving cases, scheduling field visits, and processing compliance workflows — so your team focuses on what humans do best.
AI Agents That Act, Not Just Advise
Agentforce is Salesforce's AI agent platform — a layer on top of your existing Salesforce org that enables autonomous digital agents to reason, take action, and interact with customers and systems on your behalf.
Unlike basic chatbots or Einstein recommendations, Agentforce agents operate in multi-step workflows: they can read from and write to Salesforce records, call external APIs, trigger flows, route to humans when appropriate, and log everything for audit purposes — all governed by your org's existing security model.
Estarei is built for this. As former Salesforce employees, we've been embedded in the Agentforce product from early access. We know what the platform can and cannot do, and we design implementations that match the technology to real business outcomes — not just demos that look impressive but don't hold up in production.
Agent Types We Implement
We design agents around your processes — not templates.
Customer Service Agents
Handle inbound inquiries, route cases to the right team, update records, and resolve common issues — without human intervention.
Sales Development Agents
Qualify inbound leads, research accounts, book discovery calls, and keep your CRM records accurate and up to date.
Field Service Agents
Automate dispatch decisions, schedule preventive maintenance, and give field technicians the information they need before they arrive.
Compliance & Operations Agents
Monitor records for compliance gaps, trigger remediation workflows, and produce audit-ready documentation automatically.
How We Implement Agentforce
Four phases from scoping to production-ready agents.
Process Discovery
We map your highest-volume, rules-driven processes to identify where agents deliver the fastest ROI. Not every process is a good agent candidate — we tell you which ones are.
Agent Design
We define agent topics, actions, guardrails, and escalation paths. This is where most implementations fail — skipping design produces agents that confuse users and break in edge cases.
Build & Test
We configure, test, and iterate in a sandbox environment with your real-world scenarios. We test failure modes — not just the happy path — before anything reaches production.
Launch & Optimize
We deploy to production, monitor performance, and tune the agents during a hypercare window. Agentforce is not a set-and-forget tool — early optimization is critical for adoption.
Agentforce Across Regulated Industries
We specialize in industries where process complexity and compliance requirements make agent design more demanding — and the ROI higher.
Healthcare
- Patient intake automation
- Appointment scheduling agents
- Prior authorization workflows
- Care gap outreach
Financial Services
- Account opening automation
- Compliance document review
- Loan processing agents
- AML/KYC workflow automation
Manufacturing
- Order management agents
- Field service dispatch
- Warranty claim processing
- Supplier escalation routing
Life Sciences
- Clinical trial recruitment agents
- Regulatory submission tracking
- HCP engagement automation
- Adverse event routing
Agentforce Questions, Answered
Straight answers to the questions we hear most often.
What is Salesforce Agentforce?
Agentforce is Salesforce's AI agent platform that enables businesses to deploy autonomous digital agents. Unlike basic chatbots, Agentforce agents can reason, take multi-step actions, access your Salesforce data in real time, call external systems, and hand off to humans when needed. They operate within your existing Salesforce environment, governed by your org's security model.
How much does Agentforce cost?
Agentforce is priced per conversation — currently $2 per conversation, or available through flex credits at various tiers. Enterprise agreements often include bundled credits. Implementation costs depend on the complexity of the agents you're building: a straightforward customer service agent can be implemented in 4–6 weeks, while multi-step, multi-system agents with custom integrations take longer. Contact us for a project-specific estimate.
How long does an Agentforce implementation take?
A focused Agentforce Quick Start — configuring one agent type with defined use cases — typically takes 4–6 weeks from kickoff to go-live. More complex implementations involving custom integrations, multiple agent types, or regulated-industry requirements typically run 8–16 weeks.
What's the difference between Agentforce and Einstein?
Einstein is Salesforce's AI engine for predictions, scoring, and recommendations embedded throughout the platform (lead scoring, next best action, forecasting). Agentforce builds on Einstein to create autonomous agents that can take actions — not just surface insights. The two work together: an Agentforce agent might use Einstein's predictions to decide what action to take next.
Which industries benefit most from Agentforce?
Healthcare, financial services, manufacturing, and life sciences see the strongest ROI because they have high-volume, rules-driven processes that benefit from automation. That said, any organization handling significant case volume, lead qualification, or field operations can achieve measurable impact. The key is identifying processes with clear inputs, rules, and outcomes — Agentforce excels when the logic can be defined, even if it's complex.
Do we need to already be on Salesforce to use Agentforce?
Yes — Agentforce runs within Salesforce and requires at minimum an Enterprise edition license on a supported cloud (Sales, Service, or Platform). If you're not yet on Salesforce, we can implement both in a single engagement. Many clients start with a Sales Cloud or Service Cloud implementation and layer Agentforce on top in a second phase.
Ready to Deploy Your First Agentforce Agent?
We'll help you identify the right process, design the agent, and get it into production — with realistic timelines and no inflated expectations.