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How sales teams are using AI to spend more time selling and less time on admin.

The average sales rep spends only 28% of their time actually selling. The rest goes to research, data entry, email drafting, proposal writing, and CRM updates. AI reclaims those hours by handling the preparation work that slows reps down — so they can focus on conversations, relationships, and closing deals.

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Where AI saves the most time in sales

Lead qualification and research

AI researches prospects using publicly available data — company news, financial filings, social media activity, job postings — and generates pre-call briefs with talking points, pain points, and personalised angles. Reps walk into every call prepared.

4-8 hours/week
saved
Outreach personalisation

AI drafts personalised cold emails, follow-ups, and LinkedIn messages based on prospect research. Each message references specific company details rather than generic templates. Response rates increase while writing time drops by 80%.

5-8 hours/week
saved
Proposal and pitch generation

AI generates tailored proposals, pitch decks, and one-pagers from deal notes, client requirements, and your product positioning. Sales teams customise and refine rather than building from scratch for every opportunity.

3-6 hours/week
saved
CRM automation

AI summarises call recordings into structured CRM notes, updates deal stages, logs next steps, and drafts follow-up emails. Reps spend 5 minutes on post-call admin instead of 30 minutes.

4-6 hours/week
saved
Competitive intelligence

AI monitors competitor pricing changes, product launches, customer reviews, and job postings. Weekly competitive briefs help reps handle objections and position against alternatives with current information.

2-4 hours/week
saved

Challenges specific to sales

Data quality and CRM hygiene

AI output is only as good as the data it works with. Before deploying AI for CRM automation, clean existing data, standardise fields, and establish data entry protocols. Poor CRM data produces poor AI output — fix the foundation first.

CRM and tool integration

AI tools that do not connect to your existing CRM, email, and calling platforms create more work, not less. Prioritise AI solutions with native integrations for your stack. Evaluate API quality and automation capabilities before committing.

Maintaining authentic communication

AI-drafted outreach that sounds robotic damages your brand and your pipeline. Always edit AI output to add personal touches, real observations, and genuine voice. Use AI for the structure and research — add the human element yourself.

Measuring AI's pipeline contribution

Attribute AI-assisted activities in your CRM to track impact. Compare response rates, deal velocity, and win rates for AI-assisted vs. manual outreach. Measure hours saved per rep per week to build the business case for wider adoption.

How to get started with AI in sales

1

Start with email drafting and prospect research — immediate time savings with low risk.

2

Add AI-powered call summarisation and CRM note generation to eliminate post-call admin.

3

Build prompt templates for your most common outreach scenarios using the CONTEXT Framework.

4

Run a 4-week A/B test: compare AI-assisted reps against manual workflows on key pipeline metrics.

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