Enterprise AI Consulting Services: Avoid the €100K Project That Fails
A full AI consulting engagement takes 6-8 weeks and ends with a roadmap that has the ROI calculated for each initiative. If you would rather start with a scoped diagnosis, our AI audit starts from €3,000.
- 87% Data Science Projects That Never Reach Production
- <6 months Time to Value
- 01 · Data What you have and its state
- 02 · Use cases Where it adds value
- 03 · Feasibility Cost, risk and return
- 04 · Pilot Four weeks, bounded
- 05 · Production Metrics from day one
- 06 · Decision Your team decides with data
- Every pilot feeds the next one
- ISO 27001 Information security
- ISO 42001 AI management system
- ENS Spanish National Security Framework
- 5.0 on Clutch · verified reviews
- Since 2009 Software and AI engineering
In numbers
Impact of Prior Consulting
Why strategy pays for the investment.
- 3x Measurable Impact with an AI Strategy vs companies without one (Info-Tech, 2026)
- -40% Time-to-Value Reduction With clear roadmap
- 360° AI Maturity Assessment Data, infrastructure, talent, and culture
- 17 Years of Experience Since 2009
Definition
What Is AI Consulting?
AI consulting maps the strategy before a single line of code: it assesses your organization's maturity (data, infrastructure, talent), prioritizes use cases by ROI, and delivers an executable roadmap to production.
What's included
Service Deliverables
What you receive. Executable, not theoretical.
- AI Maturity Assessment (40+ pages)
- Use case portfolio prioritized by ROI
- Business case per initiative
- Governance framework + policies
- 12-18 month roadmap (Gantt)
- Executive presentation for Leadership
Why
Eternal Pilot vs Strategy to Production
The problem with the approach you know.
The failed pattern: "let's do a pilot and see what happens". 6 months later: impressive demo that can't scale, data not ready for production, and zero organizational accountability. Our approach: strategy first, quick wins that demonstrate value, and roadmap to production from the start.
- Prioritized Use cases
- Phase 1 Production
- Calculated ROI
Summary
Executive Summary
For Leadership.
With AI consulting, avoiding a €100K+ (~$108K+) failed project pays for the investment several times over. Complete phase of 6-8 weeks with executable deliverables.
Requirement: executive sponsor for AI initiatives. Main risk: organizational resistance to change. Governance is designed in from the start, with your data hosted in Europe.
- 3x Measurable Impact with an AI Strategy
- 6-8 wks Complete Consulting
- -40% Time-to-Value Reduction
For the CTO
Technical Summary
For the CTO.
Comprehensive assessment: data maturity (quality, access, governance) and reference architecture for MLOps. Use-case prioritization by business value and data readiness.
Model selection framework (build vs buy vs API). Cloud/on-premise infrastructure evaluation. Servers in Europe for sensitive data.
Technologies
- NIST AI RMF
- ISO 42001
- MLOps
- Data Governance
- Model Selection
- Data maturity and production-readiness assessment
- Model selection framework: build vs buy vs API
- MLOps reference architecture
Who it is for
Is It For You?
AI consulting makes sense for strategic AI initiatives.
Who it's for
- Organizations evaluating strategic AI initiatives needing a roadmap.
- Companies that need an AI roadmap with business cases and ROI-based prioritization.
- Leadership (CEO, CDO, CTO) seeking to avoid eternal pilot projects without ROI.
- Corporations with multiple AI use cases requiring prioritization.
- Businesses in regulated sectors (finance, healthcare, legal) where governance is mandatory.
Who it's not for
- Early-stage startups needing to move fast without a prior strategy phase.
- Small-scope projects where consulting doesn't make economic sense.
- Teams with internal AI expertise who only need development.
- If you're looking for immediate implementation without a prior strategy phase.
- Organizations without an executive sponsor for AI initiatives.
Key points
Consulting Services
From assessment to implementation.
- 01
AI Maturity Assessment
Comprehensive evaluation: data, infrastructure, talent, culture. Identification of quick wins vs strategic projects, each with its own business case.
- 02
Governance Framework
AI usage policies, ethics, and accountability. Vendor and model evaluation framework, and build vs buy vs API decision criteria.
- 03
Implementation Roadmap
12-18 month plan with phases, dependencies, and resources. Target architecture. Business cases with ROI calculated per initiative.
- 04
Implementation Oversight
Post-consulting follow-up. Monthly progress reviews. Roadmap adjustments based on learnings and context changes.
How we work
Consulting Process
From assessment to executable roadmap.
- 01
Discovery and Assessment
Leadership interviews, existing data analysis, maturity assessment. Market and competitor comparison.
- 02
Use Case Prioritization
Ideation workshops, use case scoring, business cases. Selection of quick wins and strategic projects.
- 03
Governance and Roadmap
Governance policy design, roadmap with phases and dependencies, and business cases with ROI. Final executive presentation.
Risks and how we cover them
Risks and Mitigation
Transparency about what can fail.
- 01
Organizational resistance to change
MitigationAlignment workshops with key stakeholders, quick wins to demonstrate value early.
- 02
Insufficient data for use cases
MitigationData quality assessment in phase 1, remediation plan included.
- 03
Priority changes during the project
MitigationDefined decision points, modular roadmap that allows pivots.
- 04
The estimated ROI doesn't materialize
MitigationEvery initiative ships with a business case and measurable hypotheses. We measure against them at each review and adjust before scaling.
Technologies
Frameworks and Methodologies
Standards we apply.
- NIST AI RMF
- ISO/IEC 42001
- OECD AI Principles
- AI Canvas
- Data Maturity Model
- MLOps Maturity
- Design Thinking
- OKRs
The proof
AI Experts With Business Vision
We've been implementing technology that generates business results since 2009, without academic detours or tools to place. Nexo, our own AI and SaaS platform, is the proof: we apply daily what we recommend. AI consulting that connects strategy with execution and governance by design.
- 17 Years of Experience
- 3x Measurable Impact with vs without an AI Strategy
- Nexo Own AI Platform in Production
Sources
Sources for the Figures on This Page
Where the market and case-study figures we cite come from. Everything else is an estimate based on our experience. Accessed 26 September 2026.
- VentureBeat, "Why do 87% of data science projects never make it into production?" (19 July 2019) Source of the 87%: only 13% of data science projects make it into production. It is a figure about data science projects, quoted around a VentureBeat Transform 2019 panel, not a study of generative AI projects specifically.
- Info-Tech Research Group, AI Adoption & Impact Study: AI in the Enterprise (June 2026) Source of the 3x: enterprises with a formal, governed AI strategy report measurable impact 60% of the time, versus 20% for those with no strategy. Survey of 551 senior leaders.
- Kiwop experience in AI consulting projects (2023-2026) Kiwop has been operating since 2009. The engagement length (6-8 weeks), the 40+ page maturity assessment and the 12-18 month roadmap are the scope and timelines of our service.
- Case study: Nexo, Kiwop's own AI platform The production AI platform we use every day, cited as proof of what we recommend.
FAQ
Executive Questions
What Leadership asks.
Where do I start if I want to use AI but don't know where?
With a maturity assessment. We analyze your data, infrastructure, and processes, and come out with a portfolio of use cases prioritized by ROI and effort. You start with the quick wins that prove value and fund the rest of the roadmap.
How do you prioritize AI use cases?
We score each one by business value, effort, and data readiness. High-value, low-friction cases become quick wins; strategic ones are planned in phases. Each one ships with its business case and estimated ROI, so the decision comes from numbers, not gut feel.
Where is data processed and stored?
You control where data lives: EU-hosted and designed for GDPR compliance (data in the EU, data processing agreements), or your own cloud region for US data-residency needs. For clients with additional requirements, we deploy on their own cloud infrastructure.
Do I need consulting if I already have a data science team?
It depends. If your team successfully takes projects to production, maybe not. But most data science teams are excellent at models and weak on governance, change management, and business alignment.
What happens after consulting?
Three options: 1) Your team implements with our roadmap, 2) We implement the prioritized projects (AI agents, enterprise RAG, AI chatbots), 3) We oversee third-party implementation. Prior consulting makes any option 40% faster.
Does this end up as a slide deck nobody opens?
No. Instead of a polished presentation, you get an executable roadmap: use cases prioritized by ROI, a business case per initiative, and the target architecture. It's built to start building from, not to file away. Your team or ours can start the moment you sign off on it.
How do I know the consulting will pay off?
Deliverables include business cases with calculated ROI for each initiative. If none has positive ROI, you'll know before spending €100K (~$108K). That alone is ROI.
Does consulting cover EU AI Act compliance?
We identify and plan for it inside the roadmap: we classify which systems fall under the regulation. Full alignment (conformity documentation, registration, human oversight) is a dedicated service: we cover it in EU AI Act compliance.
Next step
Tell us what decision is on your table
30 minutes with the person who will design the system, not with a salesperson. We tell you what can be built with your data, what it would cost and what is not worth doing. We reply in under 24 hours. If you would rather start with the full diagnosis: AI audit from €3,000.
- No commitment
- Response in 24h
- Custom proposal
Case studies
Projects where we put it to work
Let's talk.
Initial technical consultation
AI, security and performance. Diagnosis with phased proposal.
- NDA available
- Response <24h
- Phased proposal
Your first meeting is with a Solutions Architect, not a salesperson.
Talk to an architect