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 Consulting
FreshLast reviewed: · 3d agoAI Consulting Services
for companies that want working AI, not slides
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.
- 100+ implementations
- 96% production rate
- Senior Chief AI Officer on every sprint
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
1 weekAI sprint
The way an engagement starts
The way an engagement starts
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
Built for every decision-maker
Same engagement, sharply different outcomes per role
For CEOs
A week of building, then a decision you can defend
The pain: The board wants AI in the plan. The proposals in front of you are staffed programmes and a date next year.
What you get: A one-week AI sprint on a real workflow, with a senior Chief AI Officer in the room and a clear stop or continue at the end of the week.
- ▸One workflow chosen with you, not a catalogue
- ▸A build your operators can try before you fund a programme
- ▸A price agreed before the week, not an open retainer
For CFOs
See the cost of the first week before you approve a programme
The pain: AI budgets arrive as a range with a partner rate and no asset you will own.
What you get: A fixed price for the sprint, then an indicative range for a pilot or implementation only if the week earns it. Pricing sits 40 to 65 percent below MBB for comparable senior work.
- ▸Fixed price for week one
- ▸Indicative ranges for pilot, implementation and a retained Chief AI Officer
- ▸You own the code, the prompts and the access at handover
For CIOs and CTOs
The agent lands in the stack you already run
The pain: A separate AI environment means a second identity model, a second log, and a demo nobody in operations will open.
What you get: Integration with ERP, CRM, Microsoft 365 and the data platform, done by the same team that chose the use case.
- ▸Build on your tenant, not a vendor sandbox
- ▸No referral fee from the model or the platform
- ▸Handover includes how your team changes the agent
For Heads of Operations
Start with the process that actually consumes the week
The pain: Automation proposals target a tool. Your constraint is a workflow with exceptions, a system of record, and people who will not adopt a side app.
What you get: The sprint sits with the people who do the work, on the system they already use, and reviews the result with you on the last day.
- ▸One process, named before the week
- ▸Exceptions handled with the operators, not hidden
- ▸A decision on Friday about the next workflow, or about stopping
What AI consulting services include
AI consulting services are the work of choosing where AI pays for itself and then putting it into the systems the company already uses. 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. The list below is the engagement. It is not a menu you have to buy in full before anything runs.
- Use-case selection with the people who own the P&L, scored on value, data and how hard the workflow is to change.
- A build plan for the first workflow: what gets connected, what stays manual, and what 'done' means for that week.
- Agents on your systems, not in a demo tenant we host and you never log into again.
- Integration with the ERP, CRM, Microsoft 365, data platform or ticket tool the process already depends on.
- Team training for the operators and the manager who will change the agent after handover.
- A handover: code, prompts, evaluation notes, access, and a named owner on your side.
AI business consulting, in this sense, is not a general management study with an AI chapter. AI advisory services that stop at a recommendation are a different purchase. If that is all you want, say so in the interview. The default at Alice Labs is advice plus the build, because a use-case list that nobody integrates does not change the operating cost.
Artificial intelligence consulting also covers the controls: what data may leave the tenant, which EU AI Act or NIST duties apply, and who is allowed to approve an agent action. Those controls are part of the first week when the workflow is regulated. They are not a later project you discover at audit time.
A buying team usually arrives with three documents and no system. The documents are a vendor shortlist, a maturity slide, and a budget range. None of them names the queue, the screen, or the person who will refuse the agent if it is wrong. The first job of AI consulting services is to replace that pile with one workflow. We ask what the person does on a Tuesday morning, which system they trust, and what a bad answer costs. If that conversation cannot be had with a named owner, the engagement should not start. A catalogue of use cases is easy to write and hard to fund. One workflow with a number on it is the opposite.
AI advisory services still have a place when the decision is genuinely open: build, buy, or leave it manual. The advice is only useful if the person giving it will also live with the integration. That is why the Chief AI Officer on the sprint is the same person who will be in the leadership review, and why the build team is not a separate statement of work that starts after a sign-off meeting. Companies that split the two spend the second contract re-explaining the first. The cost is not only the fee. It is the month in which nobody is allowed to touch production because the architecture is still being "aligned".
Integration is the part most proposals treat as a phase name. In practice it is a list of permissions. Read the order, write the case note, file the document, post the message in the channel the team already watches. An agent that answers in a side panel and cannot do those four things is a search box. AI consulting that does not include that list, and a test of each item with the operator, has not started the work the company thought it bought. Handover is the same list, plus the right to change it: where the prompt lives, how an evaluation is run, who gets paged when the agent is wrong, and how a new hire learns the boundary between what the agent may do and what a person must do.
Training is short on purpose. Operators do not need a course in model families. They need one afternoon on the workflow they already own, with the failure cases from the week still on the screen. Managers need the decision rule for the next workflow: continue, narrow, or stop. That is the training we run. A general AI literacy day is a different product, on the training page, and it is not a substitute for this handover.
How an AI consulting engagement works: the one-week AI sprint
An AI consulting engagement here starts as a one-week AI sprint. Four steps, in order. This sequence does not promise that every workflow is in full production on Friday. It is the shape of the week, and you see the build before you buy the next one.
- Interview. Before the week, we talk to the person who owns the workflow and the person who can grant access. The point is to pick one process and to know which system it lives in. It is not a multi-week discovery billed as a separate phase.
- Day one. Access. Files, the system of record, and the people who do the work. The Chief AI Officer and the build team spend the day in that environment, not in a workshop that produces a maturity score.
- Build week. The rest of the week is building and testing with your operators. The agent reads and writes where the work already happens. If a step cannot be automated safely, it stays with a person, and that decision is written down.
- Leadership review. On the last day the people who can fund the next step review what was built, what it would take to run it, and whether another sprint is worth it. Stopping is a valid outcome.
A Chief AI Officer on hire is in that week, not introduced afterwards. The build team is the same team. There is no handoff from an advisory partner to an integration factory. If the week shows the workflow was the wrong one, you have spent one week, not a quarter.
AI consulting company, firm or agency: what the difference means for you
Buyers search for an AI consulting company, an AI consulting firm and an AI consulting agency as if they were the same vendor. They are not. The useful difference is who does the work, how long it takes to see a system running, how large the engagement usually is, and what you own when it ends. The rows below describe the market. They are not a ranking.
| Strategy house | Big Four | Systems integrator | AI agency | Senior AI consulting firm (Alice Labs) | |
|---|---|---|---|---|---|
| Who does the work | Partners sell. A mixed team analyses. Build is often subcontracted. | Partner oversight, a large delivery bench, strategy and build often split. | Delivery managers and engineers, usually tied to a platform practice. | Designers and builders against a brief you already wrote. | A senior Chief AI Officer and the build team, on your systems, from the first week. |
| Time to first working system | Often a separate implementation after the strategy, measured in quarters. | A programme plan first. A pilot when the workstreams are staffed. | After architecture and a statement of work, commonly several months. | Weeks, if the brief is already narrow. | The one-week AI sprint is the first build. Further sprints if you continue. |
| Typical engagement size | Large, multi-unit studies. Pricing is commonly the reference point we sit 40 to 65 percent under for comparable senior work. | Large transformation programmes with a mixed team. | Platform rollout plus integration, sized to the estate. | A product, a bot or a campaign. | One week, then a pilot or implementation only if the week earns it. Aimed at companies above roughly €100M revenue, owner-led groups, enterprise and public sector. |
| What you own at the end | A recommendation and, sometimes, a target architecture. | Deliverables defined in the statement of work. Tooling may stay with a vendor. | A configured platform. Leaving it can be expensive. | The asset in the brief, if the contract says you own the code. | The build on your systems, plus the notes and access your team needs to run it. No platform referral fee in the recommendation. |
An AI consultancy is only as useful as that last row. If the contract leaves the model, the prompts and the integration in a vendor account you do not administer, you have rented a demo. Ask for the handover list before you sign.
Our AI consulting services
These are the practices behind the engagement. Each one is a page with its own scope. The commercial front door for all of them is this page, and the first week is the same sprint.
AI strategy consulting
The use-case list, the ROI model and the sequence, when you need the decision written down before a wider build.
AI implementation and integration
Agents connected to ERP, CRM, Microsoft 365 and the data platform, with your team in the build.
AI agent development company
Custom agents for service, operations and internal work, with an evaluation harness and a handover.
AI automation consulting
The processes worth automating, then the workflows and agents on the systems you already run.
generative AI consulting
Use cases, build or buy, data protection and LLM agents, scoped as consulting rather than a tool rollout.
enterprise AI consulting
Governance, several business units, and a rollout that does not fork into a pile of pilots.
AI governance
EU AI Act, NIST and the controls your risk committee will actually ask for.
AI training
The operators and managers who will run the agent after we leave.
AI consulting pricing and engagement models 2026
The one-week AI sprint is a fixed price, quoted after the interview and agreed before day one. The other rows are indicative 2026 planning ranges for companies that continue, not a rate card and not a quote. Alice Labs typically prices 40 to 65 percent below MBB and Big Four partner-led teams for comparable senior work. Software licences, model usage and cloud compute are not inside these ranges.
| Engagement | Duration | Indicative range | What you leave with |
|---|---|---|---|
| One-week AI sprint | 1 week, after a short interview | Fixed price, quoted before the week | A tested build on your systems, and a decision to stop or continue |
| Pilot | 2 to 6 weeks | $18,000 to $45,000 | The first use case in the real environment, with the KPI you agreed |
| Implementation | 4 to 12 weeks | $45,000 to $180,000 | Integrations, monitoring and a handover your team can run |
| Retained Chief AI Officer | 3 to 12 months | $9,000 to $25,000 per month | Ongoing judgment on what to build, which vendor to refuse, and the next sprint |
Ranges are indicative. They move with the number of systems, the regulatory load and the size of the team you need. Across 100+ implementations the production rate is 96%. That figure describes work already shipped. It is not a promise about the next engagement.
Who we work with
Alice Labs works with companies above roughly €100M in revenue, with owner-led groups of that scale, and with enterprise and public sector organisations. The constraint is not a headcount slogan. It is that the workflow has to be large enough that a week of senior time changes a real cost, a real queue or a real risk.
Companies and owner-led groups
Operating companies and groups above roughly €100M, where one function can sponsor a sprint and a later rollout without a twelve-month procurement study.
Enterprise
Several business units, a risk committee, and systems such as SAP, Salesforce, Dynamics or a group data platform. The enterprise page covers rollout. The sprint is still how a unit starts.
Public sector
Agencies that need a documented build, access control and a handover an internal team can operate. Procurement shape changes. The week does not become a slide phase.
We do not sell a small-business package and we do not run a startup offer. If the company is earlier than the line above, the honest answer in the interview is that this practice is the wrong fit.
How to choose an AI consulting firm
Use this list on every firm in the process, including Alice Labs. A firm that cannot answer in writing is a firm that is selling the logo.
- Named people. Ask who will be in the first week, and whether they are the people who sign the proposal.
- Production, not activity. Ask for the share of engagements that reached the client's environment, and for two references with a number.
- Vendor independence. Ask whether the firm is paid by the model provider, the cloud or the CRM it recommends.
- Ownership. Ask for the list of artefacts you keep: code, prompts, evaluations, infrastructure access, and the runbook.
- The first month in days. If the answer is a phase name, ask what a person on your team does on day three.
- A price before the work. A fixed price for the first week tells you more than a blended rate and a range that moves after kickoff.
AI consulting by industry
The sprint is the same shape in each industry. The systems, the duty of care and the data rules are not. These hubs are the industry layer. The commercial service is still AI consulting services on this page.
AI consulting insights
Longer notes, written so a buying team can read them without a sales call. They do not replace the service pages.
- what is AI consulting
- AI consulting pricing 2026
- best AI consulting firms 2026
- AI consulting vs in-house AI
Related practices used above: automation, agents, governance, training, the senior team on the sprint.
Get in touch
Tell us the workflow and the systems. We reply with whether a one-week AI sprint is the right start, and a fixed price before the week begins.
Quick definition
What is AI consulting?
AI consulting is a service where outside experts help a company decide where AI creates value and then build it. A good engagement ends with working systems, connected to the tools the company already uses, and a team that can run them. Alice Labs delivers this as one-week AI sprints.
FAQ
AI consulting questions
Plain answers on services, cost, firms, agencies and the one-week AI sprint
What is AI consulting?
AI consulting is a service where outside experts help a company decide where AI creates value and then build it. A good engagement ends with working systems, connected to the tools the company already uses, and a team that can run them. Alice Labs delivers this as one-week AI sprints: a senior Chief AI Officer on hire, plus a build team, on your own systems.
What do AI consulting services include?
AI consulting services at Alice Labs include use-case selection, a build plan, agents on your systems, integration with ERP, CRM and Microsoft 365, team training, and a handover your people can run. Strategy without a build is a separate, shorter piece of work. The default start is a one-week AI sprint, then a pilot or an implementation if the first week earns the next one.
What does an AI consulting company actually deliver?
An AI consulting company should leave you with software in the environment you already operate, a written decision on what to build next, and people on your side who can change it. Alice Labs delivers a tested build during the one-week AI sprint, then integrations, monitoring and a handover. Slide decks are a by-product of the decisions, not the product.
How is an AI consulting firm different from an AI agency?
An AI agency is usually hired to produce a campaign, a bot or a feature against a brief. An AI consulting firm is hired to decide which brief is worth building, then to build it with your operators. Alice Labs is the second kind: a senior Chief AI Officer chooses the workflow, and the same build team ships the agent on your systems. You are not handed from a strategy partner to a separate delivery vendor.
How much does AI consulting cost in 2026?
The one-week AI sprint is a fixed price, agreed before the week starts, and quoted after a short interview. Indicative 2026 planning ranges for the work that follows, not quotes, are about $18,000 to $45,000 for a pilot, about $45,000 to $180,000 for an implementation, and about $9,000 to $25,000 per month for a retained Chief AI Officer. Alice Labs typically prices 40 to 65 percent below MBB and Big Four partner-led teams for comparable senior work. Ranges move with the number of systems, the regulatory load and how many people from our team you need.
How long does an AI consulting engagement take?
The first engagement is one week: an interview before the week, one day of access, a build week, and a leadership review on the last day. A pilot after that is usually 2 to 6 weeks. An implementation across several systems is usually 4 to 12 weeks, run as further sprints. A retained Chief AI Officer runs for months. You decide after each sprint whether to continue.
What is a one-week AI sprint?
A one-week AI sprint is the way Alice Labs starts an AI consulting engagement. Before the week we interview the people who own the workflow. On day one we get access to the systems and the data the work actually uses. During the week a senior Chief AI Officer and a build team work on your systems. At the end of the week your leadership reviews what was built and what it would take to run it. It is not a workshop that ends in a report, and it is not a promise that every workflow is in full production on Friday.
What is a Chief AI Officer on hire?
A Chief AI Officer on hire is a senior person who sits with your leadership for the sprint, and longer if you keep them, and is accountable for which AI work gets built. They are not a slide author who leaves the build to a junior team. At Alice Labs that person is backed by the engineers who integrate the agent with your ERP, CRM, data platform and Microsoft 365.
What is the difference between AI strategy consulting and AI implementation?
AI strategy consulting decides where to invest: the use-case list, the ROI model and the sequence. AI implementation is the build and the integration into the systems you already run. Alice Labs treats strategy as the front of the same engagement, not a separate firm. The strategy page covers the roadmap. This page covers the full AI consulting service, from the choice through the working agent. See AI strategy consulting at https://alicelabs.ai/en/ai-strategy and AI implementation and integration at https://alicelabs.ai/en/ai-implementation-consultant.
How do I choose an AI consulting firm?
Ask six things. Who does the work: named seniors, or a partner who sells and a bench you have not met. What is in production, with client names and numbers. Whether they earn fees from the software they recommend. What you own at the end: code, prompts, evals and access, or a subscription you cannot leave. How the first month looks, in days, not phases. And whether the price is fixed before the work starts. Alice Labs publishes 100+ implementations and a 96% production rate, takes no vendor referral fees, and starts with a one-week AI sprint.
Do AI consultants build the solution or only advise?
Both exist, and you should know which one you are buying. Advisory-only firms stop at a recommendation. Alice Labs advises and builds. The same people who choose the use case write the integration, sit with your operators, and hand over something your team can run. If you only want a board paper, say so. If you want a working agent, the consulting engagement includes the build.
What should we prepare before hiring an AI consultant?
Name the workflow that hurts, the person who owns it, and the system it lives in. Have a decision maker in the interview who can grant access. You do not need a finished data platform, an internal AI team, or a business case written by a strategy firm. If access to production data is slow, the first week can start on a limited copy. What blocks a sprint is a missing owner, not a missing slide deck.
How is Alice Labs different from Big Four and global systems integrators?
Big Four and global systems integrators staff large programmes with mixed seniority and often a separate strategy workstream from the build. Alice Labs puts a senior Chief AI Officer and a small build team on your systems, starting with one week. Pricing for comparable senior work is typically 40 to 65 percent below MBB and Big Four partner-led teams. Across 100+ implementations the production rate is 96%. We do not take revenue share from Microsoft, AWS, Salesforce or other platforms, so the build-or-buy call is not a resale.
Where does Alice Labs work?
Worldwide. Engagements run in English, remote by default, and on site when the workflow needs people in the room. The one-week AI sprint does not depend on a city. Contracting, data residency and EU AI Act or NIST controls are set per client. The registered office address is Hammarbybacken 27.
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