Alice Labs builds AI automation solutions that cut costs 40-90% and free your team from repetitive work. We identify the right processes, build pilots in 2-6 weeks, integrate with your systems, and scale. Document processing, workflow automation, and intelligent decision-making—all with measurable ROI.
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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
Ready to talk?
Tell us about your goals and we'll suggest the fastest path forward.
Verified outcomes from completed AI implementations
Ljusgårda (Supernormal Greens)
Public Sector
Media Company
Same engagement, sharply different outcomes per role
The pain: You need to scale operations 2-3x without proportionally growing headcount — and traditional process optimisation has hit diminishing returns.
What you get: AI-automated workflows that handle 70-90% of volume, freeing your team for higher-value work.
The pain: Cost transformation programmes promise savings that never appear in the P&L — and consultants leave before results land.
What you get: Automation initiatives with monthly P&L impact tracked in your finance dashboard from day 30.
The pain: Ticket volume is growing 30% YoY, but you cannot hire fast enough — and customer satisfaction is sliding.
What you get: AI agents that resolve routine queries end-to-end and escalate complex cases with full context to humans.
The pain: Your finance team spends 60% of time on data entry, classification and reconciliation — work AI handles in seconds.
What you get: AI processes invoices, expenses, payments and reconciliations with human-in-the-loop on exceptions only.
Ready to see similar results?
Book a free discovery call - we'll map your highest-impact AI opportunities.
AI automation combines artificial intelligence with process automation to handle complex tasks that require judgment, context understanding, and decision-making. Unlike traditional automation (RPA) that follows rigid rules, AI automation can process unstructured data, handle exceptions intelligently, and improve over time.
Common applications include document processing (invoices, contracts, applications), workflow orchestration with intelligent routing, customer communication automation, data extraction and enrichment, and quality assurance. The best solutions combine rule-based automation for structured steps with AI for the decision points.
At Alice Labs, we've built automation solutions that reduced document processing from 60 hours to 3 minutes, cut order management costs by 83%, and freed 6,400+ hours per year for a public sector organization. Every project starts with measurable KPIs and ends with proven ROI.
From single-task automation to full process orchestration
Invoices, contracts, applications, reports—extracted, classified, and routed automatically. From 60 hours to 3 minutes (public sector case).
End-to-end process orchestration with AI decision points. Handle exceptions intelligently, not just follow rules.
AI agents that handle customer inquiries, qualify leads, schedule meetings, and manage routine communications autonomously.
Connect systems, sync data, and create single sources of truth. AI-powered ETL, data enrichment, and cross-system orchestration.
We prove value fast, then scale what works
1-2 weeks
We map your processes, identify automation candidates, and score them by ROI, feasibility, and strategic value.
2-6 weeks
Build the highest-ROI automation in production. Real data, real integration, real measurement.
4-12 weeks
Roll out to full volume, add integrations, train teams, and establish monitoring dashboards.
Ongoing
Continuous improvement: new automations, performance tuning, and expanding to adjacent processes.
The 2026 automation market spans rule-based RPA, low-code iPaaS, and AI-first delivery partners. Below is an evidence-based comparison of Alice Labs against the eight platforms enterprises most often evaluate alongside us.
Most "AI automation" categories on Gartner, Forrester and G2 still mix three very different things: (1) traditional Robotic Process Automation (RPA) that scripts UI clicks, (2) integration-led iPaaS that moves data between SaaS apps, and (3) AI-first automation that uses LLMs and ML models to make decisions on unstructured inputs. Alice Labs sits in the third category and delivers as an outcome-based consultancy — not as a tool licence. The other eight vendors in this comparison are platforms you buy and operate yourself.
All comparisons reference publicly available vendor documentation, the NIST AI Risk Management Framework, ISO/IEC 42001:2023, and the EU AI Act regulatory framework. We do not claim partner badges we have not been audited for.
| Provider | Category | Core strength | AI / LLM capability | Typical buyer | Best fit for |
|---|---|---|---|---|---|
| Alice Labs | AI-first automation consultancy | Outcome-based delivery, LLM-driven document & workflow automation, custom orchestration | Native — LLM agents, document AI, RAG, custom models | COO, CFO, Head of Ops | Mid-market & enterprise teams wanting 40–90% process cost reduction with measurable ROI, not another tool licence |
| UiPath | Enterprise RPA platform | Mature RPA with strong UI automation, marketplace, and citizen developer tooling | Add-on (Autopilot, Document Understanding, Communications Mining) | CoE leaders, RPA programme owners | Large-scale rule-based automation programmes with significant internal bot factories |
| Automation Anywhere | Cloud-native RPA + IDP | Cloud-first RPA with generative AI Co-Pilot and Document Automation | Add-on (Automator AI, AI Agent Studio) | Global enterprise CoE, shared services | Multi-region shared services centres standardising automation on a single SaaS platform |
| Microsoft Power Automate | Low-code automation in M365 | Tight integration with M365, Dynamics 365, Azure and Copilot | Native — AI Builder, Copilot Studio, Azure OpenAI | IT, business analysts, Power Platform admins | Organisations already standardised on Microsoft 365 / Dynamics where licences are bundled |
| ServiceNow | Workflow platform + AI | Workflow engine across ITSM, HR, customer ops with built-in CMDB | Native — Now Assist, AI Agents | CIO, IT, HR, Customer Service | ITSM-anchored enterprises extending workflows into HR, customer ops and field service |
| Workato | Enterprise iPaaS | 1,400+ enterprise connectors, low-code recipe builder | Native — Workato Agentic, AI Copilot | Integration teams, RevOps | SaaS-heavy stacks needing reliable, enterprise-grade integration over scripted RPA |
| Zapier | SMB automation / iPaaS-lite | 7,000+ app connectors, very low barrier to entry | Native — Zapier AI Actions, Agents (beta) | Founders, ops managers, marketers | SMB and team-level workflows where speed and breadth beat governance |
| n8n | Source-available workflow automation | Self-hostable, fair-code, 400+ integrations, native code nodes | Native — AI Agent & LangChain nodes | Engineering, data, AI teams | Engineering-led teams that want data sovereignty and a code-friendly automation runtime |
| Appian | Low-code BPM + AI | Unified BPM, RPA, case management and process mining | Native — Appian AI, Process HQ | Regulated enterprise, financial services, public sector | Regulated industries needing audited end-to-end workflows with strong process governance |
If you already have an in-house automation Centre of Excellence (CoE), measurable bot inventory, and dedicated RPA developers, a platform like UiPath, Automation Anywhere or Microsoft Power Automate is usually the right backbone. They are evaluated annually by Gartner and Forrester (see Gartner Newsroom) and integrate with most enterprise stacks out of the box.
When the bottleneck is not "more bots" but identifying the right processes, designing AI decision logic, integrating across legacy systems, and proving P&L impact — a delivery partner outperforms a tool licence. Alice Labs ships working automations in 2–6 weeks, plugs into UiPath, Power Automate, n8n, Workato or any combination, and only charges when ROI is measurable. We are platform-independent by design. Evaluating delivery partners side-by-side? See our deep-dive on the best AI automation companies 2026.
Every Alice Labs automation is designed against recognised AI governance and risk frameworks. This matters because EU customers must demonstrate AI Act compliance from 2026 onward, and enterprise procurement increasingly requires evidence of conformity.
We deliver on whichever platform fits — UiPath, Power Automate, ServiceNow, Workato, n8n, Zapier, or a custom Python/TypeScript stack. No vendor pressure, no kickbacks.
Fixed-price pilots, KPIs agreed before kickoff, monthly ROI dashboard. We measure cost-out in the P&L, not bot-runs in a console.
Where RPA already runs, we add AI decision points and exception handling. Where RPA is failing, we replace brittle scripts with LLM-based automation that handles edge cases natively.
COOs and VPs looking to reduce operational costs and increase throughput without adding headcount.
Finance, HR, and admin teams drowning in manual processing—invoices, applications, reports.
Government agencies needing to handle growing case volumes with limited resources.
Innovation and IT teams seeking to connect AI with existing enterprise systems.
Deeper reading on the frameworks, comparisons and ROI benchmarks behind every automation we ship.
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
AI automation uses machine learning and large language models to handle work that previously required human judgement — document processing, classification, extraction, routing, content generation. Unlike traditional RPA (rule-based), AI automation handles unstructured inputs and edge cases, typically reducing process cost 40-90% with 6-12 week payback.
Everything you need to know about AI automation
AI automation combines artificial intelligence with process automation to handle complex, judgment-based tasks that traditional automation can't. Unlike rule-based RPA, AI automation can read unstructured documents, make decisions based on context, generate content, classify information, and learn from patterns. It's the difference between automating a form fill and automating an entire decision workflow.
Almost any process that involves reading, classifying, deciding, or generating can be automated with AI. Common examples: document processing (invoices, contracts, applications), email triage and response drafting, report generation, data extraction from unstructured sources, lead qualification, customer support triage, compliance checks, and quality assurance. We help you identify the highest-ROI candidates first.
RPA (Robotic Process Automation) follows rigid rules: click here, copy there, paste here. AI automation adds intelligence—it can understand context, handle exceptions, process unstructured data, and make judgment calls. In practice, the best solutions combine both: RPA for structured steps, AI for the decision points. We design hybrid architectures that maximize reliability and flexibility.
Our clients typically see 40-90% time reduction on automated processes, with payback periods of 2-6 months. Concrete examples: document processing from 60 hours to 3 minutes (95% reduction), order management costs reduced by 83%, content production scaled 10x without additional headcount. We define KPIs before we build so ROI is measurable from day one.
A focused pilot takes 2-6 weeks from kickoff to production. Full implementation of a process typically takes 4-12 weeks including testing, integration, and change management. We start with one high-impact process, prove value, then scale. Most clients have 3-5 automations running within 6 months.
We integrate with all major business systems: CRM (Salesforce, HubSpot, Pipedrive), ERP (SAP, Microsoft Dynamics, Visma), document management (SharePoint, Google Drive), communication tools (Slack, Teams, email), databases, and custom APIs. We use Make, n8n, and custom middleware to connect everything reliably.
Yes, security is foundational. We implement data encryption, access controls, audit logging, and GDPR compliance by design. For sensitive industries (finance, healthcare, public sector), we use on-premise or EU-hosted AI models. Every automation includes a security review and data processing agreement.
No. We design automations that business teams can monitor and adjust. Each solution includes a dashboard for tracking performance, clear escalation paths for edge cases, and documentation. We also offer ongoing management services if you prefer hands-off operations.
AI automation typically handles specific, well-defined processes end-to-end (e.g., process all incoming invoices). AI agents are more autonomous—they can handle multi-step tasks, make decisions across systems, and interact with users conversationally. Many solutions combine both: automated pipelines with agent-based exception handling.
Start with a discovery call where we map your processes and identify the top 3-5 automation candidates. We then prioritize by ROI and feasibility, build a pilot in 2-6 weeks, measure results, and scale. No long contracts—we prove value first.
Have more questions? Let's talk.
No commitment - just a conversation about what AI can do for your business.
Book an automation assessment to identify your highest-ROI opportunities. No long-term contracts — fixed-price available.
Combine multiple services for maximum impact – we help you find the right mix