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
Finance & CFO
FreshLast reviewed: · 3d agoAI for Finance
Alice Labs builds AI agents that automate invoice processing, accelerate month-end close, improve forecast accuracy by 50%, and free controllers from routine bookkeeping to focus on strategic financial analysis.
- ERP Integration
- Built for SOX & GAAP
- 30-90 Day Delivery
- Full Audit Trail
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
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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 Finance Teams
From transaction processing to strategic forecasting — where AI delivers the highest financial ROI. Cross-reference our full enterprise AI function portfolio when sequencing rollouts across departments.
Deeper reference on this topic: our ai recruitment tools roundup.
Last updated: 2026-07-15 · Next review: 2026-10-13
Fresh 2026 benchmark: Gartner's February 2026 Finance AI Survey found 58% of finance functions have deployed or piloted generative AI, up from 37% in 2024 — with AP automation and forecast narrative generation as the top two use cases (source: Gartner).
Automated Invoice Processing
AI agents read, categorize, and code invoices automatically. Accountants review exceptions — 70% faster throughput.
70% faster processingCashflow Forecasting
ML models that predict cashflow based on historical patterns, seasonal variations, and planned activities.
50% better accuracyMonth-End Close Acceleration
AI automates reconciliations, flags variances, and generates draft reports — cutting close time from weeks to days.
40% shorter closeAnomaly Detection
Continuous monitoring for duplicate payments, outlier amounts, and policy violations before they compound.
Real-time detectionBefore vs. After AI for Finance
| Process | Before AI | After Alice Labs |
|---|---|---|
| Invoice processing | Manual coding, 3-5 days | Same-day automated |
| Month-end close | 10-15 business days | 3-5 business days |
| Forecast accuracy | ±30% variance | ±15% or better |
| Reconciliation | Manual matching, error-prone | AI-matched, exception-based |
| Financial reporting | Days of data compilation | Auto-generated drafts |
| Anomaly detection | Discovered in audit | Real-time AI monitoring |
Transform Your Finance Operations
Tell us about your finance challenges and we'll design a custom AI solution
FAQ
Frequently Asked Questions
Can AI automate bookkeeping?
AI agents can categorize transactions, suggest account codes, and handle standard journal entries automatically. Accountants review exceptions and approve — maintaining full control with minimal time investment.
How does AI improve forecast accuracy?
AI models analyze historical patterns, seasonal variations, and external factors (market trends, supply chain data) to create more accurate cashflow and budget forecasts. Clients typically see 50% improvement in forecast accuracy.
How does AI accelerate month-end close?
AI automates reconciliations, flags variances, pre-populates reports, and identifies anomalies — cutting close time by 40-60%. Controllers spend time on analysis and judgment calls, not data compilation.
Does AI work with our ERP system?
Yes. We integrate with SAP, Oracle, Microsoft Dynamics, Visma, Fortnox, Xero, and most ERP platforms via secure APIs. No system replacement needed.
How is financial data security handled?
All data stays in private infrastructure with encryption at rest and in transit, role-based access controls, and full audit trails. We comply with GDPR, SOX requirements, and industry financial data standards.
What is the ROI of AI for finance teams?
Typical results: 70% faster invoice processing, 40% shorter month-end close, 50% better forecast accuracy, and 80% automation of routine bookkeeping. ROI is measurable within the first quarter.
Can AI handle complex multi-entity consolidation?
Yes. AI agents can automate intercompany eliminations, currency translation, and consolidation entries across multiple entities — reducing manual effort and error rates significantly.
How does AI detect financial anomalies?
AI continuously monitors transactions for unusual patterns: duplicate payments, outlier amounts, timing anomalies, and policy violations. This proactive detection prevents errors from compounding across reporting periods.
How long does implementation take?
Most finance AI implementations go live in 30-90 days. We typically start with a high-volume process like invoice handling or reconciliation, prove value, then expand to forecasting and reporting.
Can AI replace finance professionals?
No. AI automates routine work so finance professionals can focus on analysis, advisory, and strategic decision support — the activities that create the most value for the business.
How widely are finance teams adopting AI in 2026?
Gartner's 2026 Finance AI Survey (published February 2026) found 58% of finance functions have deployed or piloted generative AI, up from 37% in 2024. The fastest-growing use cases are accounts payable automation, variance commentary, and forecast narrative generation. See gartner.com/en/finance/insights/ai-in-finance for the full dataset.
What finance processes should be automated first?
Start with high-volume, rules-based work: invoice coding, three-way match, bank reconciliation, and intercompany journals. McKinsey's 2026 CFO Agenda reports these four processes deliver 60-80% of first-year AI ROI in finance, with payback typically inside 90 days. Analysis and judgment work (forecast review, capital allocation) stays with humans and improves with AI-generated drafts.
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