AI Agent · Food & Grocery
AI Agent for Order Management
Ljusgårda (Supernormal Greens)
$250K/year saved
- 83% cost reduction
- 70-80% automation
- 6-week implementation
Linus, Adrian, Jens, Eric & Henrik
The team you actually work with
The team you actually work with
Sales & CRO
FreshLast reviewed: · 3d agoAI for Sales
Alice Labs builds AI agents that score leads, analyze pipelines, accelerate deals, and forecast revenue with precision — turning CRM data into predictable growth. Our clients report 25-40% higher win rates.
- CRM Integration
- Built for GDPR
- 30-90 Day Delivery
- Revenue Impact Focus
Why enterprises pick Alice Labs
Production-grade AI delivery, EU-native, senior team
100+Implementations
Shipped to production
Shipped to production
96%Production rate
Across those implementations
Across those implementations
40 to 65%Below MBB
On comparable senior work
On comparable senior work
Senior teamHands-on delivery
Experienced practitioners
Experienced practitioners
Team
Part of the team that delivers
An experienced team with broad AI and tech backgrounds from product companies and consultancies
Linus
Co-founder & AI Consultant
Adrian
AI Consultant
Jens
AI Consultant
Eric
Co-founder & AI Consultant
Linus T.
AI Consultant
Henrik
AI Consultant
Results
Results From Our Clients
Verified outcomes from completed AI implementations
AI Automation · Public Sector
Document Automation: 60h to 3min
Public Sector
6,400 to 8,000 h/year freed
- 95% time reduction
- 60h to 3min/doc
- 1000+ hours/month saved
AI Automation · Media & Publishing
AI-Driven Content Production
Media Company
$40K/month revenue
- $100K first year
- $40K/month recurring
- 12-month build-up
Ready to see similar results?
Get in touch and we'll map your highest-impact AI opportunities.
Clients
What Our Clients Say
"We decided early on to embrace AI technology and needed a partner who could explore opportunities, propose solutions, lead change management, and build them. With Alice, we got everything in one place and have implemented multiple solutions that increased efficiency so significantly that an entire team could be reallocated."
Andreas Wilhelmsson
CEO & Co-founder
Supernormal Greens / Ljusgårda
"Alice Labs' AI training gave us all a real aha-moment, whether we were completely new to the field or experienced! The training contained a perfect balance between theory and practice. We have definitely become more efficient at work!"
Åsa Nordin
IT Manager
Trollhättan Energi
"The collaboration with Alice Labs has been easy, educational, and incredibly supportive. We engaged them to improve our processes and create more efficiency in the team, and the result truly exceeded expectations. Through their guidance, we've gained better structure, faster workflows, and more time for what actually creates results."
Frida
Partner Manager
Bruce Studios
"Fast, professional, and wonderful people. Find out for yourself <3"
Johannes Hansen
Founder
Johannes Hansen AB
AI Use Cases for Sales Teams
From prospecting to close — where AI agents deliver the highest revenue impact. Related reading across our enterprise AI function index maps the same playbook to other revenue-adjacent teams.
For a curated comparison, see our ai recruitment tools shortlist.
Intelligent Lead Scoring
AI agents that analyze hundreds of signals to rank leads by conversion probability — so reps focus on the right deals at the right time.
25-40% higher win ratesPipeline Intelligence
Real-time analysis of pipeline health, deal velocity, and stage conversion rates with AI that flags at-risk deals and recommends actions.
30-50% better forecastingDeal Acceleration
AI identifies stalling deals, recommends engagement strategies, surfaces relevant content, and automates follow-ups.
20-30% shorter deal cyclesRevenue Forecasting
ML models that predict quarterly outcomes by analyzing deal patterns, rep performance, and seasonal factors — replacing gut-feel with data.
95%+ forecast accuracyBefore vs. After AI for Sales
| Process | Before AI | After Alice Labs |
|---|---|---|
| Lead scoring | Manual rules, 3-5 criteria | AI-scored, 100+ signals |
| Pipeline review | Weekly 2-hour meetings | Real-time AI dashboard |
| Revenue forecasting | Rep estimates, ±30% accuracy | ML-powered, ±10% accuracy |
| Deal research | 1-2 hours per prospect | AI brief in 5 minutes |
| Follow-up cadence | Manual, inconsistent | AI-optimized sequences |
| CRM data quality | 50-60% accuracy | AI-enriched, 90%+ accuracy |
Transform Your Sales Engine
Tell us about your pipeline challenges and we'll design a custom AI solution
FAQ
Frequently Asked Questions
How does AI improve sales win rates?
AI agents analyze historical deal data, buyer signals, and competitive patterns to score leads, prioritize outreach, and recommend next-best actions. This means reps spend time on deals most likely to close, improving win rates by 25-40%.
Can AI integrate with our CRM (Salesforce, HubSpot, etc.)?
Yes. We connect to Salesforce, HubSpot, Pipedrive, Microsoft Dynamics, and other CRMs via secure APIs. AI enriches your existing CRM data without requiring platform changes.
What is AI-powered lead scoring?
AI analyzes hundreds of signals — firmographics, engagement history, website behavior, email interactions — to score leads by likelihood to convert. This replaces manual scoring rules with data-driven prioritization that improves continuously.
How accurate is AI revenue forecasting?
AI models typically improve forecast accuracy by 30-50% compared to traditional methods. They analyze deal velocity, stage conversion rates, rep performance patterns, and seasonal factors to predict quarterly outcomes with high confidence.
Does AI replace salespeople?
No. AI handles the data-heavy, repetitive aspects: lead research, CRM updates, follow-up scheduling, and pipeline analysis. This frees sales reps to focus on relationship-building, negotiation, and closing — the activities that actually generate revenue.
How does AI help with deal acceleration?
AI agents identify deals that are stalling, recommend engagement strategies based on successful similar deals, surface relevant content for each stage, and automate follow-up sequences. This reduces average deal cycle by 20-30%.
What data does AI need for sales intelligence?
At minimum: CRM data (deals, contacts, activities). For advanced features: email engagement data, call recordings, website analytics, and product usage data. We start with what you have and expand as value is proven.
How quickly can we implement AI for sales?
Most sales AI implementations go live in 30-60 days. We start with a 2-week Discovery sprint to audit your pipeline, identify bottlenecks, and design the AI agent workflow. Pilot results are typically visible within the first month.
Can AI help with prospecting and outreach?
Yes. AI agents can research prospects, personalize outreach messages, optimize send timing, and identify warm introduction paths. This makes prospecting more effective and less time-consuming for reps.
How do you measure sales AI ROI?
We track: win rate changes, deal velocity, forecast accuracy, time-to-close, pipeline coverage ratio, and rep productivity (deals per rep). Every implementation includes a measurement framework agreed upfront with your team.
Explore more AI services
Combine multiple services for maximum impact. We help you find the right mix