Safari365 boosts internal efficiency 30% with Salesforce Agentforce AI agents

Overview

Safari365, a bespoke African safari travel company, deployed Salesforce Agentforce AI agents to automate low-value, repetitive tasks such as reconfirming supplier bookings and generating personalized 'day notes' for customer itineraries. The company started with internal-use agents built with human-in-the-loop oversight, iterating using the Agentforce Testing Center. Impact included a 30% increase in internal efficiency, quotes delivered in 30 minutes versus 2-3 manually generated per day previously, and a six-week time-to-value from signing to live deployment.

The challenge

In its early days, Safari365 managed custom trips with spreadsheets and Word docs across a fragmented tech stack — leads in one tool, emails in another, availability elsewhere — making it impossible to get a full picture of the customer journey, track performance, spot bottlenecks, or understand where potential travelers were lost. Its biggest pain points became low-value, repetitive tasks that ate up hours, like reconfirming supplier bookings or chasing down availability across 20 properties.

The solution

Safari365 first made Salesforce its system of record across departments, then deployed Salesforce Agentforce AI agents to automate low-value, repetitive tasks. The team asked staff what they wished they didn't have to do, built a top-10 list, ran a complexity analysis, and prioritized building agents for internal use cases with high ROI and low risk, including reconfirming supplier bookings and generating personalized "day notes" for customer itineraries.

Reported business value

Internal efficiency is up 30%. Teams that used to manually generate two to three quotes a day can now deliver a first estimate in 30 minutes, and building and refining agents internally made Agentforce the fastest time-to-value of any Salesforce product Safari365 has deployed: six weeks from signing to live.