EnterpriseAIConsultingServices:Avoidthe€100KProjectThatFails

87% of AI projects never reach production. The difference: strategy before code. Maturity assessment, use cases prioritized by ROI, and an executable roadmap, with governance from day one.

87% Failed Projects (Without Strategy)
<6 months Time to Value
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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

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.

roadmap/prioritization.yaml
# Use-case prioritization by ROI
use_case: l1_support_rag
business_value: high
effort: medium
data_maturity: ready
business_case: defined
decision: quick_win
# → Phase 1 to production ✓
Prioritized Use cases
Phase 1 Production
Calculated ROI

Executive Summary

For Leadership.

AI consulting has immediate ROI: 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 Production Success
6-8 wks Complete Consulting
-40% Time-to-Value Reduction

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.

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.

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.

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 Mitigation

Transparency about what can fail.

Organizational resistance to change

Mitigation:

Alignment workshops with key stakeholders, quick wins to demonstrate value early.

Insufficient data for use cases

Mitigation:

Data quality assessment in phase 1, remediation plan included.

Priority changes during the project

Mitigation:

Defined decision points, modular roadmap that allows pivots.

The estimated ROI doesn't materialize

Mitigation:

Every initiative ships with a business case and measurable hypotheses. We measure against them at each review and adjust before scaling.

AI Experts With Business Vision

We've been implementing technology that generates business results for 15 years, with no academic hype or tools to push. 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.

15+ Years of Experience
3x Production Success vs Without Consulting
Nexo Own AI Platform in Production

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 for full GDPR compliance, 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 you guarantee the ROI of consulting?

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.

Roadmap or Experiment?

Executive Alignment Session. We define whether your use case has real ROI before you invest in development, with a business case per initiative. No commitment.

Request Assessment
No commitment Response in 24h Custom proposal
Last updated: July 2026

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