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Insights

08 | 27 | 2025

Using AI to Supercharge B2B Sales

Written by

Kenny Osborne

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At AvreaFoster, we spend a lot of time in the B2B marketing trenches, building the assets that power modern marketing engines. Along the way, we collaborate closely with B2B sales leaders. Whether we’re developing personas, mapping the buyer journey or launching account-based campaigns, working with the sales team is an important part of our creative process.

We also share many of the same challenges as B2B sales: long sales cycles, complex messages and the constant pressure to do more with less. According to Forbes, it now takes 52% more marketing touches to close a deal than it did just a few years ago. And for some B2B brands, the average path from lead to revenue stretches a staggering 512 days. Which brings us to AI. Just as AvreaFoster is constantly exploring how AI can enhance marketing performance, we’re also seeing how AI is reshaping the B2B sales experience — by automating time-consuming tasks, elevating outreach and accelerating decision-making. Here are five high-impact ways AI can be integrated into the B2B sales process to help your team work smarter, deliver more personalized experiences and close deals faster.

01

Prioritize leads with real buyer intent

B2B sales teams are often flooded with leads — but not all leads are created equal. AI can help you sort the signals from the noise by analyzing digital behavior (like B2B website activity or email engagement) to surface leads who actually are ready to talk.

Use AI when:

  • You have a large volume of inbound leads and need to triage quickly.
  • You want to align sales outreach with the timing of buyer interest.
  • You’re running targeted ABM campaigns and need to focus on warm accounts.

AI sales tip: Don’t just rely on form fills. Use AI-driven lead scoring models to surface sales-ready leads, even if they haven’t converted yet.

02

Speed up response times

When it comes to B2B sales, timing matters. When a B2B prospect engages, they are more likely to convert when your team responds quickly. AI can help by automating first-touch follow-ups, scheduling meetings or even crafting personalized emails at scale.

Use AI when:

  • Your team is juggling too many leads to respond manually.
  • You need to maintain a consistent follow-up cadence.
  • You want to improve speed-to-lead without sacrificing personalization.

AI sales tip: Use tools like ChatGPT or GrammarlyGO to draft or improve messages, but train your team to review and refine before sending. AI should enhance human connection — not replace it.

A member of the B2B marketing team leveraging AI insights to create B2B sales and marketing campaigns.

03

Turn conversations into insight

Sales calls, demos and meetings are gold mines of information. AI can transcribe, summarize and analyze these conversations to identify objections and highlight concrete next steps.

Use AI when:

  • You want to coach new reps without sitting in on every call.
  • You need better visibility into where deals are stalling.
  • Your team is capturing key info in notes — but not logging it consistently.

AI sales tip: AI-powered transcription tools like Otter.ai and Read AI can help summarize calls and surface trends, but the real value is using those insights to improve future conversations.

04

Improve B2B sales forecasting

Forecasting always has been part science, part guesswork. AI models can make projections based on historical data, activity patterns and engagement signals — giving sales leaders a more accurate view of the pipeline. Use AI when:
  • You need better visibility into deal progression.
  • You’re struggling to explain why forecasts miss the mark.
  • You want to identify deals that are quietly going cold.
AI sales tip: Pair AI forecasting with real-time sales team feedback to fine-tune accuracy. Machine learning improves over time, but context still matters.

05

Free up sales reps to do what they do best

If your B2B sales team is drowning in CRM updates, data entry or manual follow-up, AI can help streamline operations so they can focus on building relationships and closing deals. Use AI when:
  • Your reps spend more time logging activity than talking to prospects.
  • You want to reduce admin work without losing visibility.
  • You’re scaling quickly and need to protect rep productivity.
AI sales tip: Automate routine tasks like call logging, email categorization and meeting summaries. The goal isn’t to eliminate effort — it’s to redirect it.

Final thought: Align AI with the problem you’re solving

When AI is used to address real friction points, it becomes a powerful tool for sales success. Instead of starting with a specific tool or platform, start with the challenge. Where is your B2B sales process slow, manual or inconsistent? That’s where AI can help — by removing roadblocks, reducing lag time and improving the quality of B2B sales conversations.

Need a partner who understands both marketing and sales — and knows how AI fits in?

We’d love to connect. Because the future of AI in B2B isn’t just smarter marketing. It’s smarter selling, too.

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