It is time to zoom in on what makes the biggest difference in day-to-day sales work – all the things sales reps often build manually. When this knowledge is automated, it becomes easier to maintain consistent quality in every outreach, regardless of who is running the account.
5 things sales reps build manually that AI can make easier and more consistent
1. Contact strategy with order and roles
A strong contact strategy is about structure as much as selection. When the system recommends who to approach first – and why – you avoid spending time on pleasant but ineffective conversations. The right strategy creates momentum from week one.
- “Contacts to approach – in recommended order”: Contacts are grouped by role and prioritised in the recommended order
- Less guesswork, more focus - you start with the highest impact and quickly see what works
2. “Outbound battle card” to move faster
The battle card acts as a sales compass. When deal context, tech stack and likely pain points are in one place, it’s easier to keep the conversation on track - and adjust the angle when the buyer signals change.
- One-liner tailored to the account’s situation
- Key focus areas (business needs, technical setup, pain points)
- The right angle and hook in a concise, actionable format
3. The right angle and hook
AI turns collected data into narratives the buyer recognises. Instead of generic claims, you get a few concrete angles tied to outcomes - such as faster time-to-value, better lead quality or reduced pipeline risk.
- Angles and hooks linked to what you can actually solve for this specific customer
- Straight into results-driven conversations
4. Ready-made sequences for email and LinkedIn
Strong sequences keep the team consistent without sounding repetitive. With three steps per channel, you get a clear cadence, defined micro-goals and room to A/B test tone and calls to action. Changing style is as simple as updating a prompt.
- 3-step email sequence (intro + two follow-ups)
- LinkedIn variants per stakeholder
- Fast to launch and easy to refine over time
5. Lead scoring + next steps
Transparent lead scoring makes pipeline management easier. When sales and leadership see the same signals – and the same recommended next steps – prioritisation becomes clear.
- Fit score with short rationale
- Recommended next actions
Results you can expect when sales teams use AI support
The impact shows early: faster onboarding, sharper conversations and more time spent where it matters most. The right structure, data and language – in the right place, at the right time.
- Shorter ramp-up for new sales reps: battle cards and sequences help more people perform faster
- Higher win rate in early stages: right angle + right contact order = more qualified meetings
- Scalable quality: the same methodology and tone in every outreach, without killing personality
Getting started with AI – three quick steps
Start small and build from there. The goal is to get a first version live quickly, measure, and refine.
- Define ICP + value drivers: we help package this into AI prompts
- Connect data sources: Proff/Allabolag, BuiltWith/Wappalyzer, internal databases, LinkedIn signals and other relevant sources
- Automate into the CRM: trigger → validation → enrichment → AI output → sales-ready card
