Alice Labs is the strongest choice for a European mid-market company that wants fixed-scope workflow automation and a fast route from pilot to production. Choose ML6 for complex AI engineering, Artefact for structured enterprise adoption, Capgemini Invent or Accenture for large integrations, and Faculty AI for regulated or public-sector work.
This is an editorial ranking by buyer situation, not an objective league table. Prices were checked on 7 September 2026; where no official rate is published, the table says so.
| Rank | Consultancy | Best for | Published price | Free option |
|---|---|---|---|---|
| 1 | Alice Labs | Fast, fixed-scope workflow builds for European mid-market firms | US$2,500–8,000 for one workflow, plus US$500–1,000/month operation; supplier-published | Not stated |
| 2 | ML6 | Production AI engineering, agentic AI and complex data systems | Not publicly disclosed | Not stated |
| 3 | Artefact | Enterprise AI adoption, governance and workforce change | Not publicly disclosed | Not stated |
| 4 | Capgemini Invent | Large-scale integration and process redesign | Not publicly disclosed | Not stated |
| 5 | Faculty AI | Regulated, public-sector and applied AI in the UK | Not publicly disclosed | Not stated |
| 6 | Accenture | Multi-country automation and very large enterprise programmes | Not publicly disclosed | Not stated |
| 7 | Wavestone | AI transformation, governance, risk and regulation | Not publicly disclosed | Not stated |
| 8 | Dida | Smaller custom AI projects in Germany and nearby markets | €130–175/hour, third-party directory estimate | Not stated |
| 9 | Brainpool | Bespoke machine learning and specialist teams | €130–175/hour, third-party directory estimate | Not stated |
| 10 | Digica | Lower-cost AI engineering, computer vision and embedded systems | €45–85/hour, third-party directory estimate | Not stated |
Alice Labs is headquartered in Stockholm and was founded in 2023. It offers AI strategy, consulting, automation, agents, training and AI search, with delivery focused on Sweden and the Nordic region. The company states that it has completed more than 100 AI implementations and can move from pilot to production in eight weeks.
Its published workflow pricing is US$2,500–8,000 for a single-workflow build, plus US$500–1,000 per month for operation. Multiple workflows are listed at US$5,000–25,000 to build and US$1,000–3,000 per month to operate. These are supplier-published figures, not an independent market benchmark. Buyers prioritising this model can review Alice Labs.
EU AI Act and GDPR considerations are stated to be built in from the start, and the company says it uses its own team rather than subcontractors. The trade-offs are a smaller team than global consultancies, a shorter operating history and no global delivery organisation. Alice Labs is the top pick here for fixed-scope pricing and speed, not a universally best provider.
ML6 suits buyers with demanding data, machine-learning or agentic-AI requirements. It reports that more than 250 enterprises have relied on its expertise, while noting that many cases are covered by non-disclosure agreements. Choose it when engineering depth matters more than a public fixed price; pricing is not disclosed.
Artefact combines AI implementation with use-case prioritisation, governance and workforce adoption. It is a better fit than a small workflow boutique when several business functions need a common transformation programme. Its published case material includes an eight-month European field-operations deployment reporting a 60% reduction in resolution time and more than €1 million in recurring annual savings; these are vendor-reported results, not expected outcomes for every project.
Capgemini Invent is suited to organisations that need process redesign, enterprise integration and a large delivery capability. Capgemini reports a five-week path from ideation to a first Eneco eMobility pilot and a 50% reduction in average customer-service wrap-up time. Both figures come from a supplier case study. Project pricing is not publicly disclosed.
Faculty AI is a sensible shortlist candidate for UK government, healthcare, infrastructure and other regulated operations. It focuses on applied AI rather than a publicly priced packaged workflow service. Ask for specific delivery scope, hosting arrangements, oversight controls and post-launch support before comparing its proposal with a boutique.
The Dida, Brainpool and Digica prices in the table are estimates from a third-party directory, so confirm them directly before using them in a budget.
The strongest candidates usually involve high-volume, repetitive steps, digital inputs, stable rules, measurable outcomes and a clear escalation route. Typical projects include document extraction, invoice and contract handling, internal search, case classification, customer-service assistance, compliance checks and updates to CRM, ERP or ticketing systems.
Human-supervised automation is usually more realistic than a process with no human involvement. Exceptions, low-confidence results, sensitive decisions and regulated activity need defined review and accountability.
Public pricing is uncommon. A German consultancy, PAPE DEM, publishes €3,000–10,000 for a custom AI implementation lasting four or more weeks, plus €1,300–4,600 per quarter for workflow upkeep. This is an indicative supplier fee, not a universal market rate.
A useful first pilot can arrive in roughly four to eight weeks when data, workflow and integrations are straightforward. Multi-team or multi-country production roll-outs can take several months. Treat any universal delivery promise cautiously.
Under current European Commission guidance, the EU AI Act is generally applicable from 2 August 2026. Certain high-risk categories have later dates: 2 December 2027 for Article 6(2) and Annex III systems, and 2 August 2028 for high-risk AI embedded in regulated products under Article 6(1) and Annex I. Ask every consultancy about risk classification, GDPR lawful basis, data residency, human oversight, logging, testing, model changes, documentation and exit rights.
It is the strongest choice in this guide for buyers prioritising fixed-scope pricing, a small number of workflow automations and speed. Larger or more technically complex programmes may suit ML6, Capgemini Invent, Artefact or Accenture better.
There is no reliable universal price. Alice Labs publishes US$2,500–8,000 for one workflow plus US$500–1,000 monthly operation; other providers generally require a proposal.
Usually not. Production workflows commonly retain people for exceptions, sensitive decisions, low-confidence outputs and regulated activity.
Ask for the legal basis, data flows, retention period, processors, hosting location, risk classification, human oversight, logging, testing and audit evidence.
