How Tempo Used a Slack-First AI Strategy to Close Every Quarter With Ease

A Pipeline Without Trust

Tempo helps organizations turn strategy into execution. Its strategic portfolio management products connect work in Jira with the resources, engineering effort, time, and technology costs behind it. With thousands of customers — from small teams to Fortune 500 companies — Tempo gives businesses the tools and insights to stop strategic drift in its tracks.

When Lee Wright joined Tempo as VP of Revenue Operations, the go-to-market engine had a visibility problem. The business had grown fast — with over thirty-thousand customers across the Atlassian ecosystem, a product suite spanning engineering resource management, AI spend, and strategic planning — but the operating system underneath hadn't kept pace. Sales teams were guessing. Leaders were escalating. And at the end of every quarter, the entire RevOps team braced for a grinding manual scramble to close the books.

Even though the business was already using Salesforce to handle accounts, contacts, leads, and opportunities, the instance had become chaotic. The data was noisy. Reporting was unreliable. Commission errors had gone unresolved for two years. With half the RevOps team departing when Lee arrived, there was no runway for a slow fix — and no appetite for more of the same.

Tempo's unusual sales process added further complexity. Most of Tempo’s deals begin in the Atlassian Marketplace, pass through Tempo's data warehouse, and then flow into Salesforce — the reverse of a conventional sales process that begins with a seller-created opportunity. Fueling the challenges, data was syncing only twice a day; marketplace feeds were overwriting fields in Salesforce, and discrepancies were difficult to trace.

Picture it: It's the last week of the quarter. Lee's team is cross-referencing pipeline data across three Salesforce implementations — each carrying years of technical debt — trying to reconcile numbers that don't match. Hundreds of records need manual adjustments. Every single quarter.

The sales team, meanwhile, had learned to work around the system rather than in it. Sales representatives clicked through multiple pages, copied answers, and pasted them back into the record they started from. Every extra step consumed time that could have gone to a customer and, even worse, that friction risked encouraging sellers to bypass the system entirely.

Lee's answer wasn't just a cleanup. It was a complete rethink of how a modern RevOps team should operate — with AI and Slack at the center of every workflow, and Salesforce as the engine powering it all. If you made the system easier to use than not using it, sellers would comply. And if compliance was effortless, the data would finally be real.

It Was Simple, They Just Asked Slackbot First

Wright organized the rebuild around four levers: People, process, tools, and data. After a short discovery period, the team began fixing one or two things every day, and seeing each change through to adoption. Wright calls that focus "finishing the play": Creating a workflow is only the start, the team still has to measure whether people use it, whether the data improves, and whether the intended result shows up in the business.

Lee's philosophy was simple and radical in equal measure: Before you ask your RevOps team a question, ask Slackbot. Every workflow, every briefing, every insight — in the flow of work, not buried in your tech stack.

The mandate wasn't about features. It was about behavior. Lee had watched too many RevOps teams invest in powerful systems that nobody used because they required people to change where they worked. Slack was where everyone worked. Agentforce was already capable. The question was whether the two could be wired together tightly enough that the right information arrived before anyone had to ask for it.

The foundation was a shared Slack channel connected to Salesforce and the data warehouse — a live "collective consciousness" where anyone on the sales team could surface answers instantly. Pipeline questions, quota progress, deal status — all accessible through a single conversation thread. Lee called it the team's operating layer. Within weeks, it had become the first place the team looked every morning. But Lee didn't stop there. The real transformation came with three custom AI agents, each built to eliminate a different category of friction. These are the agents they built and what they can do:

• Janice: A virtual executive assistant built on Claude and Agentforce — manages Lee's calendar, declines meetings without agendas, and surfaces open priorities every Monday morning without anyone lifting a finger. What used to require a chief of staff now runs automatically, before the week begins.
• Sales Coach: A solution-selling coach — rides along with reps during prospecting and deal reviews, pushing them to think bigger and sell more strategically before they hit send. Instead of waiting for a manager's review to catch a thin deal or a missed expansion signal, reps get that coaching in the moment, when it can still change the outcome.
• Assistive Agent: This agent lets representatives run decisions past a virtual finance voice before escalating. Fewer interruptions upstream. Faster answers at the rep level. Better decisions all the way down the chain.

Then there was the question of what to do at the end of quarter — the moment that had always exposed the gap between what Salesforce knew and what was actually true.

Using Slack and Agentforce, Lee built an opportunity monitoring layer that scans every open deal for data anomalies — proactively, throughout the quarter, not just at the end. Instead of a frantic scramble, each salesperson now receives a Slack alert mid-quarter: "We found two issues on this opportunity — here's how to fix them. Do you want to fix it now?" The sales rep clicks yes. The AI agent updates. The issue disappears before it ever becomes a close-day crisis.

The shift from reactive to proactive changed the entire texture of how the team operated. Reps weren't chasing down problems at 11 p.m. on the last day of the quarter. Leaders weren't triaging blind. Quarter close went from an all-hands emergency to a non-event — because the work had already been done, distributed across the entire quarter, one Slack nudge at a time.

The quarter-end results made the progress clear. At the end of Q1, before the work had started, hundreds of opportunities had needed manual data corrections. By the end of Q2, only two opportunities needed adjusting. Tempo also increased its data-sync frequency from twice daily to every four hours, reducing the discrepancy errors that had made reporting difficult to trust.

The team then began using Slackbot for even more: Finding meeting times, drafting the note that accompanies an invitation, logging activities, updating Salesforce opportunities, and surfacing quota progress without forcing a seller to leave the conversation.

Taking this AI-first approach further, for a new campaign, a rep can simply answer five questions in Slack and an AI skill creates the opportunity while filling 15 fields correctly in the background. Another skill delivers morning briefings that arrive with the records that need attention, while leaders receive tailored views of performance against quarterly and annual goals.

A Close Without a Scramble

Tempo's transformation was not simply about having a cleaner customer relationship management (CRM) platform. The team built a whole new operating model and delivered it in the flow of everyday work. The more reliable that foundation became, the more Tempo could give its people AI-powered guidance without asking them to swap systems or deal with manual, time-consuming data input.

By the end of Q2, Tempo's RevOps operation looked fundamentally different. A team of six — responsible for 10 systems — was operating at 1.5x to 2x the rhythm it had before. The quarterly close that had once consumed the entire team ran without a single complaint. And for the first time, every dollar in the pipeline was traceable.

The principle of having a reliable foundation also extends to the AI agents created with Claude and Slack. Their Sales Coach helps sellers think through solution selling, territory planning, and prospecting.The Assistive Agent gives Wright a way to pressure-test ideas against the perspective of his CFO. Behind the names, the value of these agents comes from the same place as the rest of the transformation: good instructions, trusted data, and clear human oversight.

The Slackbot-first culture spread quickly. Salespeople started building their own Slackbot skills and sharing them across the team. Morning briefings land automatically in each rep's Slack channel — links, action items, quota status — before the day begins. Quota tracking, opportunity hygiene, and campaign setup are all automated through skills the team built together. When a rep wants to know how they're tracking against their quarter, they don't open a dashboard. They ask Slackbot.

Looking to the future, Tempo plans to capture more unstructured information from calls, meetings, and customer interactions, then use it to guide sellers during prospecting and active deals. The team is exploring Agentforce for additional back-end administrative capacity and sees significant opportunity in enablement. For 2027 planning, models that once took weeks or months to assemble can now be created and adjusted in minutes - with Salesforce data supporting them every step of the way.

The operational clarity has unlocked something bigger: The space to think strategically. Lee's team is now turning its attention to capturing unstructured call and meeting data to provide real-time guidance to reps mid-deal. 2027 planning models that used to take months are being built in minutes. And the next frontier — Agentforce for backend administration — will give a lean RevOps team the horsepower to manage permissions, roles, and system hygiene at scale without adding headcount.

What makes Tempo's story different isn't any single agent or automation. It's the compounding effect of a system that gets smarter every quarter because the data is clean, the workflows are in Slack. The team has stopped fighting the tools and started building with them.

Ready to close every quarter with confidence? Get started with Salesforce Suites for free or activate Foundations to try out Agentforce today.