Key Takeaways

  • The use of B2B sales automation wins back selling hours for SDRs by removing tedious, manual work across decks, meetings, content, and CRM upkeep, allowing reps to instead spend their days engaging and advancing active opportunities rather than maintaining go-to-market (GTM) systems.
  • Modern automation connects content, coaching, pipeline, and reporting into one motion, replacing static reviews with continuous insight that guides sellers and leaders using live deal context across the funnel.
  • Automation at scale standardises outreach, training, and content use while adapting to role and deal state, creating consistency without slowing sellers or forcing extra process across global revenue teams today.
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How to streamline your sales process to achieve predictable growth

Salesforce’s State of Sales Report found that reps spend only 40% of their time selling. That’s hours—and revenue—slipping through your fingers. Every sales call logged, follow-up emails sent, and manual data entry eats into the hours your reps could be spending nurturing high-value opportunities.

The solution? Hand off repetitive tasks to B2B sales automation. From updating CRM records, to prioritising outreach, it frees SDRs to focus on closing deals.

Graph8’s 2025 Sales Automation Trends Report discovered that 75% of organisations globally now use sales automation in some form. Sales leaders are recognising a simple truth: If sellers are stuck doing manual work, deals slow down.

When implemented correctly, AI-driven B2B sales automation software accelerates deal cycles and helps ensure no opportunity slips through the cracks.

B2B sales automation FAQs

How can B2B sales automation tools improve our reps’ productivity without adding noise?

Apart from handling admin tasks, sales automation tools can boost sales productivity by prioritising actions that matter most. By analysing CRM data, they suggest follow-ups and trigger automated outreach at the right time. They can also surface high-value opportunities and flag stalled deals, so reps can focus more on selling.

What are the best practices for enterprise GTM teams to scale sales automation globally?

Enterprise GTM teams need a structured, data-driven approach. Start by standardising core workflows, content, and playbooks across regions while allowing localised flexibility for market and cultural differences. They should also establish governance for content and ensure tools integrate seamlessly with the existing sales tech stack.

How can my go-to-market team use AI and automation to streamline sales activities for reps?

Many GTM teams use AI-powered revenue enablement platforms like Highspot to identify where reps are spending time inefficiently. Beyond automating routine tasks, these tools analyse buyer engagement, pipeline patterns, and content performance to highlight which accounts need attention and which messaging resonates best.

Can my GTM team automate sales alerts based on buyer behaviour, CRM stage, or deal changes?

Yes. Many AI-powered tools continuously monitor CRM data to detect engagement patterns, milestone completion, and pipeline movement in real-time. Then, they notify reps when a deal requires attention and recommend the best course of action. That way, GTM teams maintain consistent follow-up and prevent deals from slipping through the cracks.

How can our GTM teams measure success across our entire sales automation technology stack?

Start by monitoring tool usage. Are reps engaging with the platform? Or are they following recommended workflows and using suggested content? Then link that activity to tangible outcomes, such as pipeline velocity and deal conversion rates. Advanced sales platforms can also provide insight into which tools, content, or workflows correlate with wins.

Which B2B sales automation tools do leading enterprise GTM teams use to streamline workflows?

Top enterprise GTM teams rely on a mix of legacy go-to-market tools and emerging, agentic platforms like Highspot. While CRMs and marketing automation platforms handle foundational workflows, AI-driven tools add a layer of insight by emphasising high-priority opportunities, recommending next steps, and recommending the right content at the right time.

Which parts of the B2B sales process can be automated for reps so they can focus on selling?

Reps can automate logging activity and updating CRM records, summarising meetings, and scheduling follow-ups. AI tools can also recommend next-best actions, trigger pipeline-based alerts, and deliver just-in-time coaching. By offloading these tasks, reps can focus on high-impact selling activities.

Key features of cutting-edge B2B sales automation tools for GTM teams

Incorporating B2B sales automation into your go-to-market org’s workflow goes beyond taking admin work off SDRs’ plates. It acts as an operating layer for your GTM motion and seamlessly connects your existing systems and standardises workflows, so your sales reps stay focused on the deals that matter most.

When implemented well, automation increases selling time, improves forecast accuracy, and brings much-needed pipeline and funnel consistency.

No two automation tools will have the same key features, but the ideal functionality to look for in tech that can automate critical GTM tasks include:

  • Automatic activity capture that eliminates the need for manual CRM updates
  • AI-driven lead scoring and prioritisation that helps reps focus on the right deals
  • Real-time visibility into deal health, buying groups, pipeline risk, and next steps
  • Sales workflow automation that triggers follow-ups, tasks, and sales alerts
  • Personalised outreach at scale without sacrificing relevance or consistency

When it comes to AI-powered sales enablement platforms like Highspot, you’ll also find other unique and helpful B2B sales automation capabilities like:

  • AI-powered meeting prep delivers summaries, context, and next steps
  • Adaptive learning assigns training based on each rep’s skills and role
  • Workflow-native agents suggest actions from within reps’ daily tools
  • Smart document automation generates custom assets in seconds
  • Proactively surface stalled deals and suggest corrective next steps
  • Automate follow-up nudges tied to training gaps or missed plays

Together, these capabilities reduce friction and boost overall team performance, giving you peace of mind knowing your reps are focused on the right deals at the right time and not wasting hours weekly on manual data entry and other tasks.

10 ways that go-to-market teams leverage B2B sales automation platforms

For revenue teams such as yours, the difference between a productive quarter and a missed revenue target often comes down to how effectively you remove friction from the entire sales process. This is where task automation can help.

Top-performing go-to-market orgs today use B2B sales automation to:

1. Build tailored sales decks instantly with the right content and context already in place

Time spent hunting for slides or digging through content repositories is time lost from selling.

With sales content automation software, like Highspot’s AutoDocs, reps don’t start with a blank slate. Instead, they start with marketing-approved templates and smart slide recommendations based on industry, persona, and product line.

This allows sales reps to assemble a fully personalised sales deck in minutes, with messaging aligned with the prospect’s needs, challenges, and priorities.

Every presentation becomes more strategic, compelling, and influential, improving the likelihood of meaningful sales conversations and higher win rates.

2. Generate meeting summaries and next steps so reps can move forward without delay

After every call or demo, critical details often live in disparate notes, which can slow down follow-ups. Modern B2B sales automation tools solve this problem by capturing key discussion points, action items, and next steps from meetings.

Coupled with AI for sales prospecting, reps get guidance on which leads to prioritise and which accounts are most likely to advance. Structured summaries of recent calls with prospects arrive instantly, which helps sellers understand the next-best action to take with active opportunities.

[Guide] Learn how AI-powered coaching can elevate sales effectiveness

3. Deliver automated coaching feedback that helps reps grow without needing 1:1 time

Timely coaching is crucial to your sales team’s skill development, but managers can’t always meet 1:1 with SDRs. The use of AI sales coaching tools—ones that automate 360 assessments of each seller and tie in-the-field GTM behaviours with tangible business outcomes—changes that dynamic.

By analysing every buyer interaction, it can deliver automated, actionable feedback on messaging, objection handling, and follow-up cadence. Reps then receive guidance immediately, helping them course-correct in real-time and reinforce best practices, all without adding hours to your schedule.

4. Assign training paths that adjust based on each rep’s role, skill gaps, and recent activity

Sales teams are diverse. A senior account executive doesn’t need the same direction as a new SDR. Even seasoned reps have evolving skill gaps.

An AI-centric sales training platform that automatically assigns bespoke learning paths for each individual sales team member can provide role-based training paths that adapt in real time to each rep’s activity, performance metrics, and demonstrated skills, reinforcing your broader sales strategy.

For example, agentic go-to-market platforms like Highspot can recommend relevant courses, microlearning exercises, and role-specific simulations, helping reps focus on the areas that matter most for boosting sales performance.

Over time, this adaptive training approach becomes a revenue multiplier, turning real-time insights into tangible improvements across the GTM organisation.

5. Recommend sales materials aligned to deal stage, buyer type, and product focus

Sales reps often spend a lot of time looking for the right content. Not to mention, using the wrong materials can stall deals or confuse buyers.

Artificial intelligence makes this effortless. Leading AI sales tools can automatically surface relevant assets, from one-pages to demos, based on the opportunity’s stage, buyer persona, and the product or solution being discussed.

This ensures reps deliver the right messaging at every touchpoint. The result is faster deal progression, improved buyer engagement, and consistent messaging.

6. Organise content libraries automatically to reflect what sellers are actually using

Even the best-curated content libraries can become overwhelming, if SDRs can’t find what they need. This is no longer a problem with AI-powered enterprise content management systems like Highspot. It tracks which assets reps access most, how they’re shared, and which pieces drive engagement in deals.

Using this data, it organises and surfaces the most effective content while archiving outdated ones. This ensures your asset hub evolves with your team, improving adoption and keeping assets aligned with what drives sales success.

7. Answer rep questions in seconds with guidance grounded in your own GTM strategy

Your sales reps constantly face on-the-fly questions about messaging, competitors, or product positioning—and delays in getting answers slow deals.

This is where AI agents for sales come in.

They act as your always-on assistant that provides instant guidance, drawing directly from your organisation’s GTM strategy. Whether it’s clarifying pricing or referencing recent wins, reps get actionable AI insights in seconds.

This allows them to respond confidently to prospects and stay aligned with your team’s strategic approach without waiting for manager input.

8. Trigger learning and enablement workflows tied to pipeline movement or missed steps

In mature GTM organisations, enablement shouldn’t be separated from execution. Advanced CRM systems like Salesforce can continuously monitor pipeline activity to identify stalled deals or patterns that signal risk.

Paired with a unified enablement platform like Highspot, the system can automatically launch targeted learning and enablement workflows—such as playbooks or sales scripts—mapped to the specific stage or issue at hand.

This just-in-time approach reinforces the right behaviours while reps are actively working deals, not weeks later in a training session. Sales and revenue leaders gain confidence that coaching is applied consistently across the pipeline, and reps get practical guidance exactly when it can still influence outcomes.

9. Send reminders and seller guidance when deals slow or buyers shift direction

Changes in engagement, missed milestones, or shifts in buyer behaviour often signal risk before a deal goes dark. Modern sales technology can detect these red flags and proactively prompt your sales reps with tailored guidance. This may involve adjusting messaging, revisiting value alignment, or re-engaging a different stakeholder.

That way, they can course-correct early, reducing the chances of deals quietly slipping out of the pipeline.

10. Ensure reps share only current, approved materials—no manual review required

Sellers shouldn’t have to second-guess whether a sales pitch deck is current or approved. Enablement platforms can enforce content governance by controlling which materials are visible, sharable, and attachable to opportunities.

In Highspot, for instance, older versions are auto-removed from circulation, while approved sales collateral stays tied to the right products and use cases, providing inside and outside sellers alike guardrails for asset utilisation.

How actionable insights from AI agents can automate reporting for GTM

Traditional GTM reporting still relies on static metrics and after-the-fact reviews. By the time insights come up, the moment to act has already passed.

“The future of sales will belong to organisations that combine human empathy with AI-powered insights—delivering superior buyer experiences and unlocking real productivity gains,” said Gartner VP Analyst Melissa Hilbert.

Today, that future is already here—thanks to AI agents. Instead of just collecting sales data, they analyse seller activity, buyer engagement, and movement through the sales funnel—and turn them into strategy-aligned insights.

Take Highspot’s AI agents, for example, which helps each GTM team:

  • Spot ‘bad’ behavioural patterns before they derail deals, triggering smart nudges to the reps in question and play recommendations that fit neatly into existing automated workflows without overwhelming your sales team or burning through your buyers’ attention
  • Manage outreach with precision by automatically flagging stalled opps, misaligned messaging, or rogue activity, delivering the kind of proactive guidance that turns good reps into go-to closers
  • Eliminate time-consuming tasks like building custom dashboards or chasing down rep inputs by embedding real-time visibility across your funnel without exporting a thing into Google Sheets
  • Detect friction in lead qualification flows and serve up clear next steps to move buyers forward—freeing your teams to develop personalised messages that convert, not chase cold contacts
  • Streamline data integration with your CRM and other GTM tools, surfacing the right metrics at the right time so they can focus on relationship-building, not wrangling spreadsheets

Turns out, the intel your reps need most is already hiding in plain sight—the cues buyers drop, the steps sellers take, the gaps in between—all quietly stitched together and translated into something instantly usable, no dashboards required.

That’s the beauty of smart automation done right: When insight isn’t something you go looking for, it’s just there—ready, waiting, already working.

Annie Lizenbergs

Annie Lizenbergs is a seasoned professional with a diverse background in sales and revenue enablement. She has held leadership roles at prominent companies, including serving as Director of Sales Training at CareerBuilder, Affinitiv, and Quotient Technology Inc. Annie’s expertise spans executive alignment, enablement framework design, and GTM learning and development. Her strategic vision and leadership have been instrumental in scaling businesses and establishing strong market positions across the technology sector.

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