in short
AI in sales for a startup isn't about technology - it's about process. Start with the most routine tasks, automate sequentially, measure time to result. Complex solutions will be needed later, when simple ones are exhausted.
Most startups think of AI in sales as an expensive enterprise affair: CRM integrations, custom models, a team of data engineers. In reality, the first tangible results can be achieved in a week with virtually no budget.
We worked with an 8-person startup selling SaaS for logistics companies. Their problem: two sales reps spent 60% of their time on research - finding companies, finding contacts, writing initial emails.
key insight
What used to take 4 hours a day now took 20 minutes. A combination of open tools: parsing, contact enrichment, automatic data freshness verification.
Step two - templates with smart personalization. Not generic emails with name substitution, but generating the first paragraph based on public company data: recent news, job postings, tech stack.
Step three - lead prioritization. A simple scoring model based on three parameters: company size, technological maturity, presence of public pain points. Sales reps focused on the top 30% of the database.
2.4xmore demos conducted
$150monthly tool budget
20 mininstead of 4 hours for research