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
AI Automation That Delivers ROI
FreshLast reviewed: · 3d agoAI Automation Consulting
from manual work to working AI workflows
Alice Labs is a global AI implementation consultancy that runs one-week AI sprints: a senior Chief AI Officer on hire, backed by a build team, delivering working AI agents on your own systems. AI automation consulting is how we choose the processes worth automating and build the workflows on your systems, starting with a one-week AI sprint.
- 100+ implementations
- 96% production rate
- Integrates with CRM, ERP and custom systems
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
Built for every decision-maker
Same engagement, sharply different outcomes per role
For COOs
Take repetitive volume off the team without a new headcount plan
The pain: You need to scale operations 2-3x without proportionally growing headcount, and traditional process optimisation has hit diminishing returns.
What you get: Workflows that take the repetitive volume, with a person still on the exceptions.
- ▸Process discovery and AI fit scoring
- ▸Built and integrated in 6-12 weeks per workflow
- ▸Adoption infrastructure baked in
For CFOs
Cost-out programmes with measurable monthly savings
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.
- ▸Bottom-up business case per workflow
- ▸Monthly savings dashboard from launch
- ▸Payback typically 4-9 months
For Heads of Customer Service
Take the repeat tickets off the queue
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.
- ▸Common ticket types handled before a person opens them
- ▸Native integration with Zendesk, Intercom, Salesforce
- ▸Live in 6-10 weeks with measurable CSAT improvement
For Heads of Finance Ops
Automate AP, AR, expense and reconciliation with AI
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.
- ▸Document AI for invoices, receipts, contracts
- ▸Native integration with NetSuite, SAP, Workday
- ▸Finance cycle time measured against the baseline you set
What is AI automation consulting?
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, automation consulting starts with the process and the baseline, then a build on the systems you already run. Named cases, including a public-sector document workflow and Ljusgårda order handling, are on the case pages. Across 100+ implementations the production rate is 96%. See our enterprise ai workflow automation practice and AI consulting services.
What We Automate
From single-task automation to full process orchestration
Document Automation
Invoices, contracts, applications, reports, extracted, classified, and routed automatically. From 60 hours to 3 minutes (public sector case).
- Invoice processing & matching
- Contract review & extraction
- Application intake & triage
Workflow Automation
End-to-end process orchestration with AI decision points. Handle exceptions intelligently, not just follow rules.
- Order management pipelines
- Approval workflows with AI routing
- Multi-step case handling
Intelligent Agents
AI agents that handle customer inquiries, qualify leads, schedule meetings, and manage routine communications autonomously.
- Customer support triage
- Lead qualification & scoring
- Meeting scheduling & follow-up
Data & Integration
Connect systems, sync data, and create single sources of truth. AI-powered ETL, data enrichment, and cross-system orchestration.
- CRM/ERP data synchronization
- Data enrichment pipelines
- Cross-system reporting automation
How AI automation consulting works
We prove value fast, then scale what works
01
Discovery
1-2 weeks
We map your processes, identify automation candidates, and score them by ROI, feasibility, and strategic value.
02
Pilot
2-6 weeks
Build the highest-ROI automation in production. Real data, real integration, real measurement.
03
Scale
4-12 weeks
Roll out to full volume, add integrations, train teams, and establish monitoring dashboards.
04
Optimize
Ongoing
Continuous improvement: new automations, performance tuning, and expanding to adjacent processes.
AI automation consulting vs RPA vs automation platforms
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 and enterprise teams that want the workflow built on their systems, with a KPI agreed before the week starts |
| 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 |
When to pick a platform
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. Our AI automation platform comparison for 2026 scores the main contenders on licence cost, agentic capability and integration depth.
When to pick a partner like Alice Labs
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 to 6 weeks, plugs into UiPath, Power Automate, n8n, Workato or any combination, and agrees the KPI before kickoff and reports it against the process you named. We are platform-independent by design. Evaluating delivery partners side-by-side? See our deep-dive on the best AI automation companies 2026.
Standards & governance Alice Labs aligns to
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.
- NIST AI RMF 1.0, risk-tier scoring per automation. Reference: nist.gov/itl/ai-risk-management-framework
- ISO/IEC 42001:2023, AI management system controls embedded in our delivery SOP. Reference: iso.org/standard/81230.html
- EU AI Act, high-risk-system classification and human oversight built into every workflow. Reference: digital-strategy.ec.europa.eu
- GDPR & EU data residency, EU-hosted models and on-prem options for regulated industries.
Platform-independent
We deliver on whichever platform fits, UiPath, Power Automate, ServiceNow, Workato, n8n, Zapier, or a custom Python/TypeScript stack. No vendor pressure, no kickbacks.
Outcome-based pricing
Pilots scoped before kickoff, with KPIs and a monthly view of cost in the P&L, not bot-runs in a console.
Replaces or augments RPA
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.
Who Benefits from AI Automation?
Operations Leaders
COOs and VPs looking to reduce operational costs and increase throughput without adding headcount.
Shared Services
Finance, HR, and admin teams drowning in manual processing, invoices, applications, reports.
Public Sector
Government agencies needing to handle growing case volumes with limited resources.
Digital Teams
Innovation and IT teams seeking to connect AI with existing enterprise systems.
Related Services
AI Agents
Autonomous agents for customer service, sales, and back-office tasks
AI Strategy
Prioritize the right automation opportunities across your organization
AI Consulting
End-to-end AI consulting from strategy to a working system
AI sprint
One week on a real process before a longer automation programme
AI Automation Insights
Deeper reading on the frameworks, comparisons and ROI benchmarks behind every automation we ship.
Ready to Automate?
Tell us the process you want to automate. We reply with whether a one-week AI sprint is the right start.
Quick definition
What is AI automation?
AI automation uses machine learning and large language models to handle work that previously required human judgement: document processing, classification, extraction, routing, and content generation. Unlike rule-based RPA, it can handle unstructured inputs and exceptions. The saving is measured against a baseline agreed before the build, not a standard percentage.
FAQ
Frequently Asked Questions
Everything you need to know about AI automation
What is 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.
What processes can be automated with AI?
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.
How is AI automation different from RPA?
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.
What ROI can we expect from AI automation?
We name the time and cost baseline before the build, then report against that process. We do not publish a standard reduction percentage. A public-sector document workflow and the Ljusgårda order workflow are named cases on the case pages. Across 100+ implementations the production rate is 96%.
How long does it take to implement AI automation?
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.
What systems do you integrate with?
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.
Is AI automation secure for sensitive data?
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.
Do we need technical staff to maintain AI automations?
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.
What's the difference between AI automation and AI agents?
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.
How do we get started with AI automation?
Start with a one-week AI sprint on one process. We name the KPI before the week and build on the system the team already uses.
What does an AI automation consultant do?
An AI automation consultant picks the processes where judgment, documents or routing still consume a team, then builds the workflow on the systems you already run. At Alice Labs that person is backed by a build team. The first week is a one-week AI sprint, not a tool licence.
How much does AI automation consulting cost?
The one-week AI sprint is a fixed price, quoted before the week starts. A follow-on pilot is often in the indicative range of $18,000 to $45,000, and a wider implementation $45,000 to $180,000, depending on how many systems the process touches. These ranges are planning figures, not quotes. Comparable senior work is typically priced 40 to 65 percent below MBB.
AI automation consulting vs AI agent development: which do we need?
AI automation consulting fits a known process: invoices, cases, routing, a document that must land in a system. AI agent development fits work that has to converse, choose tools, and handle a path you cannot fully script. Many programmes need both, in that order. Agent work is scoped on the AI agent development page: https://alicelabs.ai/en/ai-agents.
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