OpenAI Agents SDK
A free, open-source developer library from OpenAI for building custom AI agents in code, with tools and handoffs between agents.
A platform for running AI agents inside Salesforce's CRM that handle service, sales, and HR tasks around the clock.
Agentforce is a platform for building AI agents that work inside Salesforce's customer relationship management (CRM) software. Companies use the agents to automate customer service cases, route contact center calls, schedule field technicians, answer employee HR questions, qualify sales leads, and resolve IT help desk tickets. Agents read and write data through the same records sales and service teams already use, and connect to outside systems through Salesforce's MuleSoft integration tools. Admins build and test agents in the low-code Agent Builder and control what data and actions each agent can touch. It is made by Salesforce, which says G2 ranked Agentforce a top product in its AI agent category in 2026.
This fits a company already using Salesforce Service Cloud or Sales Cloud, since the agents draw on data already stored there. Start with one narrow use case, such as first-line case triage or lead qualification, and add more agents only after that works. Salesforce offers a free tier through Salesforce Foundations for basic use; beyond that it charges either per resolved case, through what it calls Flex Credits or 'Resolutions,' or per user, depending on setup. Treat any number as a planning estimate, since Salesforce prices your specific mix of agents and volume. The two main risks are cost, since usage-based pricing is hard to predict before launch, and over-automation, since agents can resolve cases inconsistently if their instructions and guardrails are not tested well first.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $57.8K | $91.9K | $149.2K |
| Three-year total | $121.4K | $184.7K | $288K |
| First-year cost per unit | $57.8K | $91.9K | $149.2K |
| Average annual cost per unit (over three years) | $40.5K | $61.6K | $96K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $16.5K | $22K | $29.7K |
| Implementation | $9.6K | $16K | $27.2K |
| Integration | $12.1K | $22K | $39.6K |
| Staff time and change management | $6.3K | $9K | $12.6K |
| Security | $4.9K | $7K | $10.5K |
| Administration | $3.8K | $5K | $6.8K |
| Support | $1.9K | $2.5K | $3.4K |
Estimate assumptions: Based on 1 production deployment. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Salesforce Agentforce and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
A free, open-source developer library from OpenAI for building custom AI agents in code, with tools and handoffs between agents.
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