The image features a stat on the left that reads, “30 minutes saved per person, per day with Slackbot.” On the right is a person checking their laptop with a Slackbot icon to their left, sparkles all around, and a clock to the bottom right.

Engine employees get more done with agentic support in every workflow

Slackbot gives every employee a personal AI agent while Agentforce takes skill-specific actions, saving time and driving productivity.

The results

85 %

of employees use Slackbot

300

potential sales leads validated with Agentforce

Growing teams, mounting internal questions

Trusted by over 1 million travelers and powered by a team of more than 1,000 employees, Engine helps small and midsize businesses access enterprise-level travel savings, perks, and support — without subscription fees or contracts.

As Engine’s team grew beyond 1,000 employees, daily work naturally became more complicated. New hires needed help with routine issues like system access, device setup, and benefits enrollment. Tenured employees were slowed down by information search and calendar management, pulling them from business-building work.

Support at the speed of work

Agentic employee support powered by Slackbot has transformed what a typical workday looks like at Engine. Slackbot works alongside Engine’s employees where they already engage as a personal AI agent grounded on their specific context. Employees can ask, “What did I miss in the last 12 hours?” or “Who should I ask about sales strategy?” and Slackbot responds instantly with updates, summaries, and the right contacts based on their unique workspace.

Slackbot also simplifies everyday employee support across the business. Instead of searching systems or filing tickets for everyday asks, new hires and veteran employees alike can ask for what they need and get immediate answers in the flow of work. For department-specific requests, employees rely on Slackbot to connect them to IT, HR, and finance resources. They can ask things like, “I’m having trouble with a software update,” “Show me the latest expense reporting,” or “What are my dental benefits?” to get answers and next steps instantly.

“In a high-volume environment where I send thousands of messages a month, Slackbot is truly the chaos tamer of Slack,” said Demetri Salvaggio, VP of Customer Experience & Operations.

Progress with every conversation

Building on their success with customer and employee support, Engine extended Agentforce into the sales workflow. For email lead nurture, AI agent Vee operates directly through Gmail, stepping in when Engine cannot automatically verify a small business inquiry by emailing, “Hi, I’m Vee, a Virtual Engine Expert …” and beginning the qualification process. When a prospect replies, Vee adapts based on the response — answering questions, following up on incomplete information, or respecting opt-outs. If there’s no reply, Vee sends a 24-hour reminder to keep the conversation moving.

By the time a lead reaches the seller’s pipeline, Vee has already verified and enriched the record with details – like the business name and domain, context about the business, and engagement signals – allowing sellers to focus on the most qualified opportunities.

Unified context behind every agent

Engine’s AI agents and employees all rely on Data 360 as their system of context to take action on unified customer and operational data.

“Data 360 has unlocked so much information for us,” said Joshua Stern, Director of GTM Systems and Principal Solution Architect. “Historically, we couldn’t bring our data warehouse into CRM — it was too big. That was tens of millions of table rows containing valuable customer insights that we couldn’t action. Now, we can serve customers in a whole new way.”

Data 360 unifies:

Agentforce Sales and Agentforce Service: Customer records, pipeline data, and full interaction histories, along with Engine’s knowledge library — FAQ, policies, and support documentation — through native connectors.
Snowflake and Amazon S3: More than 10 million rows of hotel data, including pricing, star ratings, and traveler reviews, accessed through zero-copy integration while remaining in place.
Google Analytics: Real-time customer engagement signals such as ad clicks and email opens.
Confluence: Internal sales guidance, including Engine’s seller rubric and brand voice.

Tableau Semantics translates that data into business language, ensuring agents understand metrics and relationships consistently across every interaction.

Productivity lift everywhere

The results show up in how work moves across teams and how quickly it gets done. Over 85% of Engine’s staff use Slackbot for everyday work like catching up on conversations, finding answers, and completing routine tasks without switching tools or submitting tickets. “Every time someone uses the summary feature, they are likely saving 15 to 20 minutes, preventing them from ‘dropping balls’ in a high-volume environment,” explained Salvaggio. This shift has led to an increase in employee productivity overall while helping support teams shift focus to higher value work.

Beyond internal efficiency, agentic sales support is also seeing results. In just its first month, qualifying agent Vee validated over 300 leads, helping sellers spend less time chasing down information and more time focusing on qualified opportunities.

Why Engine chose Salesforce

Slackbot built-in governance

By default, Slackbot honors existing permissions so employees only see data they are authorized to access. Engine did not need to build separate controls. “Knowing that Slackbot’s security is built-in, respecting our existing governance around access to Google Drive, Confluence, and Salesforce, gives us tremendous confidence,” said Salvaggio.

End-to-end AI agent oversight

Engine used Agentforce Observability as a central place to analyze and improve every agent, surfacing insights on usage, effectiveness, and customer feedback. When performance dips, admins can quickly update logic, test, and deploy changes the same day — without waiting for a sprint cycle.