How agentic AI sales software gives reps the room to win

Traditionally, the fix for sales friction was to add another tool. A CRM for pipeline visibility. Outreach tools for follow-ups. Analytics for dashboards. Spreadsheets to track the loose ends. It all looked great on paper. But without something to glue it all together, it just left sales reps hopping tabs with too much admin and not enough time in front of customers.

But times are changing. We’re now in an era where a unified AI sales platform can connect the sales process from lead to close, automate repetitive workloads, and automatically bring the right context into every stage of the deal. This reduces the admin that eats up selling time and gives reps the space to tackle the conversations that move businesses forward.

Nine in 10 sales teams already use AI agents or expect to within the next two years. In this guide, we’ll explore the reasons for the shift and why it's so valuable to the businesses that get it right. We’ll also share tips to help you implement practical, trusted, and human sales AI.

• More sales tools were meant to save time. Instead, they gave reps more tabs, more admin, and less time to sell.
• The real problem isn’t a lack of software. It’s a lack of time, context, and momentum across the sales cycle.
• Agentic AI goes beyond sales automation. It can prospect, prep, follow up, update pipelines, and coach reps in the flow of work.
• When agents handle the busy work, reps can focus on the conversations that move deals forward with confidence.
• The upside isn’t just faster selling. It’s happier reps with more energy for the work that’s important.

• Too many tabs, too little time
• Your reps need backup, not more buttons
• The areas where agents make a difference
• 3 challenges to implementing AI agents (and your guide to beating them)
• How PepsiCo uses Agentforce to keep every conversation moving
• Agentic AI doesn’t replace reps. It empowers them.
• FAQs

Here’s an eye-opener: 60% of sales rep time during an average workweek is spent on non-selling tasks like quote creation and manual data entry.

This is where pressure can build. While reps are tied up with admin, buyers still expect rapid outreach and tailored conversations.

Sixty-seven per cent of sales pros say personalisation is more important to customers than it was last year, and 67% say customers need extensive education. There’s a clear gap between what customers want and need and the time reps have to deliver it.

That gap is one reason sales teams are reconsidering their tech stack. A legacy sales setup usually relies on a mix of tools layered on top of each other to manage leads, track activity, and keep deals moving. That includes tools like:

• CRM platforms to support customer data and pipeline management
• Email outreach tools to manage email sequences and templates
• Dialers that help reps make sales calls and log conversations
• Spreadsheet tracking to fill gaps in reporting and customer interactions
• Sales reporting dashboardsfor predictive analytics and forecasting
• Standalone AI assistantsfor basic task reminders and status updates

Each solution is useful on its own. The gaps between them create friction. When a rep needs to surface context quickly before a call, draft a follow-up based on the last conversation, spot which customers are at risk of churn, or prepare a quote without bouncing between systems, the work piles up in the background.

This admin load does more than slow reps down. It also impacts the buyer experience. Follow-ups take longer, personalisation weakens, and context slips as it’s passed between steps. Over time, the tech stack that was meant to support sales can start pulling sellers away from what customers actually value.

Sales teams are tired of software that records the work. What they need now is help doing it.

Many sales tools offer basic AI automation that’s ideal for reminders, simple sequences, and bits of admin around the edges. But the rep still needs to work out what matters, find the missing context, and keep every deal moving through systems and teams.

Agentic AI changes that dynamic with agents that can actively participate in workflows. Now, instead of asking reps to handle busy work, an AI agent can step into the workflow and take care of the prep, admin, and follow-through that slows everything down. This could mean:

• Researching an account and providing an overview before outreach
• Summarising past interactions before a call so a rep has the full context
• Drafting a follow-up based on recent data and sending it to a human for approval
• Spotting deals that have gone quiet or missed a key follow-up
• Recommending next steps when a deal starts to stall
• Preparing internal briefs, meeting notes, or quote drafts ahead of time

This is where agentic AI feels different from basic AI sales automation software. Instead of simply following simple processes, agents can work from business data independently, take action in the background, surface recommendations, and give reps the time and context to make every deal personal.

“Sellers can now focus on quality time, on quality phone calls, not the busy work to get there.” – Simon Balmer, Lead Solution Engineer at Salesforce.

Over the last year in sales, the question has moved from “should we be using AI agents?” to “where should we start first?” For most teams, the answer lies in where reps lose time throughout the day, like prospecting, gathering context before a call, and drafting outreach.

Below, we’ve outlined four of the biggest areas where traditional software falls short and where AI agents can reduce friction and keep sales momentum high.

Only 34% of sales teams with AI agents currently use them for prospecting, but of those that do, 92% agree that it benefits their processes.

Why? Although traditional software can store lead data and support basic prospecting workflows, reps still do most of the work manually. That means pulling lead data into their platform, building lists, deciding who’s worth contacting, and shaping outreach based on the context that’s available. This is why most sales reps spend nearly a full day on prospecting each week.

But with a prospecting agent in a platform like Agentforce Sales, that prep becomes automatic. For instance, your agent can:

• Identify accounts or leads that match the business’s ideal customer profile
• Handle lead qualification and lead scoring using intent signals from enriched data
• Enrich leads with context from past activity, account data, and recent engagement
• Produce personalised outreach for every prospect
• Hand the rep a daily, ready-to-review shortlist with suggested next steps

And it can do all of this 24/7, delivering insights in real time to the tools you already use.

This changes the nature of selling. The rep brings judgment, tone, and commercial instinct. What drops away is the list building and prep work that used to sit between spotting opportunities and reaching out.

Traditional sales software can help reps send more messages, run basic sequences, and write from templates. What it doesn't do is eliminate the effort that goes into preparing personalised outreach. When teams need to research every detail and turn that into relevant messaging, that’s one more time sink that eats into the working day.

And time is exactly what sales professionals are struggling with. In Australia, 47% of reps say they lack the bandwidth for adequate cold outreach, and 47% also say it’s the worst part of a sales job. This isn’t coincidental. When reps have to research and shape messages while keeping volume up, outreach feels more like a grind than a growth lever.

With agentic AI, outreach is a lot more connected. Agents can carry context forward, respond to buyer signals in real time, and keep conversations moving. And they can do it without having to ask reps to stitch every step together themselves. For instance, in Agentforce Sales, an agent could:

• Ground itself in trusted business data to better understand every lead
• Draft dynamic outreach based on each prospect’s role, needs, and recent activities
• Tailor tone and timing to suit the lead’s seniority and preferred channel
• Follow up when a prospect shows interest or drops out mid-conversation
• Book the next meeting and pass the opportunity to a rep when the time is right

This also opens the door to a more responsive kind of selling. Instead of asking a prospect to fill out a form and wait, Agentforce can welcome website visitors the moment they arrive, answer questions in real time, and guide them toward the right solution.

Then, if the conversation becomes sales-ready, it can pass that opportunity to the right rep with the context already in place. And it can do all of it automatically, and all in real time.

Most sales software will give your team a hub to track details from lead to close. The trouble starts when sales reps have to head back and manually update that hub whenever a call finishes or a deal shifts direction.

This is how pipelines start to drift. It isn’t because sales teams don’t care, but because the admin comes after the work is already complete. Deals change in meetings. Buyers raise new concerns over email. A new stakeholder enters the battle. Things are happening in real time every day, but your legacy system stays static until a rep finds time to catch it up.

One of the biggest ways agentic AI can support your sales teams is by updating a record automatically. Rather than having to maintain every entry manually, solutions like Agentforce Sales can pull context from calls, meetings, emails, and notes. Then, it can suggest or make updates to your sales pipeline automatically. No manual editing needed.

This lets businesses do away with the end-of-week pipeline archaeology. No more digging up half-remembered notes from a Tuesday meeting. Just clean revenue intelligence for a structured pipeline and a clearer view of what needs attention next.

Traditional sales software can help you store customer records. But this isn’t particularly helpful when you need to manually gather context and draft up notes moments before a meeting begins.

Agentic AI flips this narrative by delivering AI deal intelligence to you sooner in a more digestible package. For example, let’s say you’re scheduled for a call with a customer. An agent could:

• Pull together a quick account summary with recent activity, open opportunities, and any changes since the last conversation
• Surface relevant company context, like internal business priorities or external industry trends that could shape the discussion
• Summarise past calls, emails, and notes so the rep walks in with the full picture of what happened and what’s next
• Start a conversation with the rep in natural language so the seller can ask follow-up questions and dig deeper into the account before the meeting
• Suggest the best talking points based on the sales cycle stage and what similar accounts have responded well to in the past
• Create a meeting brief that the rep can open in Salesforce, Slack, or on mobile before the call begins
• Draft a meeting recap using conversation intelligenceas soon as the call ends so the rep is ready to take further action or hand over to the next team

Think of it as an ongoing, real-time support network for every rep. The professional handles the conversation and works out when to push or pause a deal. What changes is how much context they take into the room.

Ninety per cent of sales pros with AI agents say it helps them understand customers better, and 88% say it makes it easier for them to hit sales targets.

But there’s another angle here, too. Of those surveyed, 83% say AI increases their job satisfaction. Embedding agents isn’t just a way to speed up processes. It’s about giving reps the tools to show up better prepared and more confident in every aspect of their job.

Like any technology shift, an AI sales enablement platform works best when you’ve established the right foundation. Here are three challenges you might encounter when incorporating sales AI into your setup and the steps you can take to overcome them.

In Australia, 87% of sales leaders say data silos at least somewhat reduce their AI capabilities, among other negative impacts. If your agents can’t access trusted context, they can’t provide trusted support.

This is why all AI agent projects start with data integration. Your first objective should be to connect, clean, and unify the data your reps and agents will rely on.

Fortunately, you don’t have to do this alone, either. Solutions like Data 360 can unify and harmonise every piece of customer data from all of your business sources, bringing it into one connected system so it’s ready for agentic experiences. Watch the video below to see how Agentforce and Data 360 are helping One NZ Scale in the agentic era:

The average sales team now uses eight tools , and nearly half of all reps say that volume feels overwhelming. The results of this sprawl are lost details, messy handoffs, and less context for your AI agents to work with.

Encouragingly, sales pros already know what better looks like. Eighty-four per cent of teams without an all-in-one platform are planning to consolidate their tech. A clean, unified tech stack gives reps a clear view of every customer and requires less context switching to figure out next steps. It also gives agents a stronger foundation because the context they need isn’t scattered across systems.

The goal for any budding agentic sales team should be to simplify with purpose. Rather than operating from standalone tools, bring your lead, deal, and customer data into a connected foundation like Agentforce Sales so agents can work from the same picture as your team.

For a deeper look at how sales leaders are connecting their systems for success, the Sales Leader’s Playbook to Driving Growth with AI is a useful place to start.

When agents start to take the weight off of selling, teams gain space to build confidence, sharpen their judgment, and handle conversations with more control. Now, all that’s left to do is make sure your reps are ready to capitalise on that opportunity.

Digital courses are the typical approach to training, but over half (52%) of reps say traditional enablement materials don’t give them the skills they need. What they want instead is personalised coaching that’s closer to the moment they actually need it.

For sales leaders, providing tailored mentoring to every rep can feel out of reach. This is why 34% of sales teams with agents are now also using them to train reps at scale and coach them through important moments in real time.

With Agentforce Sales, reps can role-play qualification, discovery, proposal, and negotiation scenarios with a built-in coach. From there, the agent will assess, spot where the rep missed a cue or lost momentum, and deliver personal feedback to support improvement.

When agents can handle the busy work around selling and help teams build sharper skills in the moments that matter, every rep gets a better shot at showing up prepared, excited, and ready to make the next call count.

PepsiCo operates at a serious scale. Its products are enjoyed in more than 200 countries and territories, and behind that sits a sales operation of 120,000 field reps keeping shelves stocked and retailer relationships strong.

While PepsiCo’s biggest customers, like Walmart and Target, get regular in-person visits, almost half of PepsiCo’s sales come from small businesses. Think local supermarkets, corner shops, and delis. These smaller retailers still need personal support and guidance, but they can’t always wait for the next visit or get by with a generic form and follow-up.

This creates a pretty familiar sales challenge. How do you give smaller customers the same level of care and attention as your biggest accounts, without piling more pressure on reps?

For PepsiCo, the solution began with Agentforce 360. The brand partnered with Salesforce to build an always-on agent equipped with natural language processing that can answer product questions, triage service requests, and book meetings.

This means all of PepsiCo’s partners, prospects, and retailers can get the support they need in real time, all of the time, wherever they are in the world.

This experience is more than a simple AI chatbot. The agent is grounded in PepsiCo’s knowledge, so it can respond with recommendations based on live context. If a customer decides to drop out of the conversation, Agentforce can follow up across email, SMS, or WhatsApp using the context from the earlier interaction to continue the discussion.

And when it’s time to hand over to a human, Agentforce helps that rep show up prepared. It can research accounts, transcribe calls, update opportunities, and build pre-meeting briefs with talking points, relevant materials, and recommended next steps.

Put together, this gives PepsiCo a smarter way to support its customers at scale. Retailers get faster, more personal help. Reps get lighter admin and better context. And the business gets a sales experience that’s connected from the first question to the final handoff.

Watch the full keynote from our 2026 Agentforce World Tour Sydney to discover how PepsiCo is transforming retailer relationships with intelligent AI agents, along with many other insights into the current state of agentic sales.

Traditional sales tools helped reps organise work. Agentic AI helps them get the work done.

Agentforce Sales can help your teams prospect in less time, personalise outreach without losing hours to prep, keep pipeline data current, and walk into every conversation with the context and confidence they need to win.

This is the opportunity for businesses that bring humans and agents together into the same flow of work. Agents handle the prep, follow-through, and background tasks that hold sales teams back. Reps bring the trust, nuance, and instinct that move deals forward.

If you’re ready to give your sales team that kind of support, watch the Agentforce Sales demo today to see how the #1 Agentic Enterprise Platform can bring your data, workflows, and AI agents together into one connected, scalable AI sales platform.