The numbers
ROI of AI Agents
Model it with your own volumes. Ours would only flatter us.
Vendor ROI figures are collected from customers who succeeded, which is a well-known way to produce an encouraging average. The honest version is a range, driven almost entirely by three variables: how much of your volume is repetitive, how good your knowledge base is, and how much autonomy you are willing to grant.
Bring us your real ticket volume and we will model it against your real cost per contact.
Where the return actually comes from
Deflection is the headline, but the durable value is usually handle time on the cases that still reach a human — because the agent has already gathered the context. Expect that second effect to be slower and larger.
The costs people forget
Knowledge base remediation, ongoing tuning, the platform licence itself, and the engineering time to build and maintain integrations. Budget for the retainer, not just the build.
When it does not pay back
Low volume, high variance, poor documentation, or a process where every case genuinely needs judgement. We turn down engagements on these grounds several times a year.
Model it yourself
Return on one agent, conservatively.
Your numbers
Knowledge base quality is the single biggest lever here, and it is the one nobody models. Drag it to “A mess” and watch the case collapse — that is not a scare tactic, it is the most common reason a pilot fails. Platform costs are indicative only; Salesforce prices consumption directly and we take no margin on it.
Also in why agentforce
What Is Agentic AI
Not a chatbot, not a copilot. The difference is who decides what happens next.
Read How it worksAgentic AI Architecture Explained
Five stages, one loop, and the places where each of them breaks.
Read ControlsSecurity & Trust in Agentic AI
An autonomous system with your permissions is an employee you never interviewed.
ReadStart with the assessment.
Three to four weeks, a fixed fee, and an answer we are willing to say out loud — including if the answer is no.