Alice Labs designs, builds, and deploys custom AI agents that handle customer service, sales qualification, order management, and back-office operations. Our agents integrate with your systems, learn from interactions, and deliver measurable ROI—typically handling 60-80% of inquiries autonomously.
An AI agent is an autonomous software system that uses large language models to plan and execute multi-step tasks — querying APIs, reading documents, calling tools and making decisions without human intervention. Unlike chatbots (single-turn Q&A), agents complete entire workflows like processing invoices, qualifying leads or resolving tickets end-to-end.
An experienced team with broad AI and tech backgrounds from leading companies
Linus
Co-founder & AI Consultant
Alice
CEO & Co-founder
Jens
AI Consultant
Eric
Co-founder & AI Consultant
Lisa
Project Lead & Implementation
Production-grade AI delivery, EU-native, senior team
Verified outcomes from completed AI implementations
Ljusgårda (Supernormal Greens)
Public Sector
Media Company
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AI agents are autonomous software systems that understand requests, make decisions, and take actions across multiple systems and channels. Unlike rule-based chatbots, AI agents use large language models to understand context, handle complex multi-step tasks, and deliver personalized interactions at scale.
Modern AI agents operate across chat, voice, and email—integrating with CRM, ERP, and internal tools to access real-time data and execute transactions. They can qualify leads, resolve support tickets, process orders, and route cases—all while maintaining brand voice and escalating to humans when appropriate.
At Alice Labs, we've built AI agents that handle 60-80% of customer inquiries autonomously, reduced order management costs by 83% (Ljusgårda), and scaled customer communication without adding headcount. Every agent is custom-built for your processes, data, and brand.
From customer-facing chatbots to autonomous back-office agents
Handle support inquiries across chat, email, and voice. Answer questions, resolve issues, escalate when needed.
Qualify leads, answer product questions, book meetings, and nurture prospects—24/7 across channels.
Process documents, route cases, generate reports, and handle internal requests autonomously.
AI-powered phone agents that handle inbound and outbound calls with natural conversation flow.
Map user journeys, define agent capabilities, set escalation rules and brand voice guidelines.
Develop agent with your data, integrate systems, implement guardrails and quality controls.
Deploy with human oversight, monitor conversations, and iterate based on real interactions.
Expand channels, add capabilities, optimize performance, and reduce human escalation rate.
Let's discuss your AI journey
Our team will help you prioritize use cases and build a concrete roadmap.
"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
Everything you need to know about AI agents for business
AI agents are autonomous software systems that can understand requests, make decisions, take actions, and interact with users and systems. Unlike simple chatbots that follow scripts, AI agents can handle multi-step tasks, access real-time data, make contextual decisions, and learn from interactions. They can operate across channels—chat, voice, email—and integrate with your CRM, ERP, and internal systems.
An agentic AI strategy defines how an organization deploys autonomous AI agents across customer-facing and internal operations. It covers: which processes benefit from agent autonomy, what level of human oversight is needed, how agents integrate with existing systems, how to measure agent performance, and governance frameworks for agent decision-making. It's about moving from AI-assisted to AI-autonomous workflows where appropriate.
A chatbot typically follows predefined conversation flows and can answer FAQ-style questions. An AI agent is fundamentally different: it can understand complex requests, access multiple data sources, make decisions, execute multi-step tasks, and handle exceptions. For example, a chatbot answers 'What are your hours?' while an AI agent can process a complete order, check inventory, apply discounts, and schedule delivery—all in one conversation.
We build three categories: 1) Customer-facing agents—for support, sales, and onboarding via chat, voice, and email. 2) Internal agents—for document processing, data analysis, report generation, and task management. 3) Orchestration agents—that coordinate between systems, route tasks, and manage complex multi-step workflows. Most projects combine elements from all three.
AI voice agents use speech-to-text, natural language understanding, and text-to-speech to handle phone conversations autonomously. They can answer questions, route calls, take orders, schedule appointments, and handle common inquiries. Modern voice agents sound natural, handle interruptions, and know when to escalate to human agents. We integrate them with your phone system and CRM.
Results vary by use case: Customer support agents typically handle 60-80% of inquiries autonomously, reducing cost-per-contact by 70%+. Sales agents can qualify and route 3-5x more leads. Order management agents reduce processing costs by 80%+. Our Ljusgårda case delivered $250K/year savings with 83% cost reduction on order management.
Every agent includes: conversation guardrails and brand voice guidelines, escalation rules for complex or sensitive cases, real-time monitoring and quality dashboards, A/B testing for continuous improvement, audit logs for compliance. We test extensively before launch and maintain ongoing quality reviews.
Yes. We integrate agents with all major platforms: CRM (Salesforce, HubSpot), ERP (SAP, Dynamics), ticketing (Zendesk, Freshdesk), communication (Slack, Teams, WhatsApp), phone systems, and custom APIs. Agents can read and write data across systems to provide contextual, personalized interactions.
A focused customer support agent can be live in 2-4 weeks. More complex agents with multi-system integration typically take 4-8 weeks. We follow an iterative approach: start with core functionality, launch with human oversight, then expand capabilities based on real conversation data.
No—AI agents handle routine, repetitive interactions so your team can focus on complex cases, relationship building, and strategic work. The best deployments augment human capability: agents handle 70-80% of volume, humans handle the 20-30% that requires empathy, creativity, or complex judgment. Most of our clients see improved employee satisfaction alongside cost savings.
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No commitment - just a conversation about what AI can do for your business.
Tell us about your use case and we'll design the right agent solution
Combine multiple services for maximum impact – we help you find the right mix