// STRATEGIC AI PLANNING
AI Innovation Roadmap:
The Plan From Hype to Operational Gain.
Effective AI strategy development starts with one question: which use cases generate money in 6, 12, 18 months, and which only cost it? We build your roadmap with the 3-horizon model. Quick wins that deliver ROI in 6 months. Process integration that scales in 18 months. Moonshots that transform your business model in 36 months. Data-driven priorities, agile delivery.
// DEVELOPING PRODUCTION-READY AI SOLUTIONS FOR
100+ delivered AI projects | 120,000 hours saved
// DEFINITION
How do you build an AI roadmap?
An AI roadmap gets built in three phases.
First: identify and assess use cases by business value and feasibility.
Second: prioritize quick wins for fast ROI generation in the first 6 months.
Third: long-term planning of deeper transformation projects (deep tech), supported by data infrastructure and employee skills.
A roadmap is not a rigid document meant to sit in a drawer. It is an agile plan that gets adjusted quarterly.
// THE BOTTLENECK
Ad-hoc projects or strategic roadmap
The old way (ad-hoc chaos):
Whoever shouts loudest gets their AI project. Marketing wants a chatbot, sales wants lead scoring, IT tests ChatGPT. Every project fights for budget, nobody talks to each other. The result: isolated island solutions. Three pilots that never reach production, because the fourth has already eaten the budget. After 12 months, much has happened but little is visible. The board asks for ROI, nobody can answer. Pilot purgatory.
The new way (Xanevo roadmap):
Data-driven prioritization: which use case has the highest business value? Which is feasible with current data and skills? Both together yield the score that determines sequence. Budget gets strategically allocated, not in a contest of voices. Quick wins deliver ROI within six months, supporting the narrative. Deep tech projects run in parallel with longer horizons. Islands become an integrated ecosystem.
// WHAT WE SOLVE
Three services that carry the roadmap
AI Status Quo Sprint
Define the starting point. Before we plan, we must know where we are. Data maturity, tech stack, skills, shadow AI, honest position assessment in 10 days.
AI Governance
Set the guardrails. Safety and compliance from day 1. EU AI Act conformity, GDPR, internal policies. A roadmap without governance fails at the first audit.
// COMPARISON
Ad-hoc projects vs. strategic roadmap
Criterion
Ad-hoc (chaos)
Roadmap (Xanevo)
Selection
Whoever shouts loudest
Data-driven prioritization (ROI)
Resources
Projects fight for budget
Budget is strategically allocated
Outcome
Isolated island solutions
Integrated ecosystem
Time horizon
Everything now, nothing really done
Three horizons, clear sequence
ROI visibility
Board asks, nobody answers
Quick wins deliver the story in 6 months
The 3-horizon model as roadmap framework
/ APPROACH
01
0–6 months
Quick wins
Efficiency levers with low complexity and fast ROI visibility. Automate marketing copy, generate meeting minutes, classify standard requests. Use cases that go productive in 8 to 12 weeks and measurably save hours. These wins finance the story and build trust for longer horizons.
02
6–18 months
Process integration
AI gets integrated into core processes. Customer service automation with escalation workflow. ERP integration for automated invoice capture. Multi-step pipelines that span multiple teams. Integration competence pays off here: existing systems (SAP, AS/400, Dynamics) dock in instead of being replaced.
03
18+ months
Business model innovation
Entirely new AI-based products or services. The merchant becomes the platform, the advisor becomes the scaler. This needs pioneer spirit but builds on a foundation of horizon 1 and 2 experience, not from nothing.
04
Framework box
When which horizon
70 percent of investment in H1 (quick wins). 20 percent in H2 (process integration). 10 percent in H3 (moonshots). This split shifts with data maturity: young AI organizations start at 90/10/0, more mature ones run more H2 and H3.
// PRIORITIZATION
How use cases get prioritized: business value times feasibility
Every use case gets scored on two dimensions. Business value means: concrete monetary or strategic contribution, backed by assumptions. Example: "Marketing copy automation saves 240 hours per month at 80 EUR loaded cost = 230,000 EUR per year." Feasibility means: technical feasibility (data availability, model maturity) times organizational feasibility (skills, change readiness). Multiplying both scores yields the sequence. What lands in the top-right quadrant gets done first. What lands bottom-left moves to the end of the pipeline or drops out. This scoring prevents the "whoever shouts loudest" problem.
// FAQ
Frequently Asked Questions
First robust version in 4 to 6 weeks. That covers use case inventory (1–2 weeks), assessment and prioritization (1–2 weeks), and roadmap workshop with stakeholders (1–2 weeks). The roadmap then gets adjusted quarterly because data, tech stack, and business reality change. We don't deliver drawer documents, we deliver a living plan.
The roadmap creation itself typically runs between 15,000 and 35,000 EUR, depending on company size and use case volume. Implementation of prioritized use cases gets planned separately, often the first quick wins start right after as 4- to 12-week implementation sprints. We provide ROI estimates per use case so you can weigh investment against expected return.
AI is not an IT topic, AI is a business topic with IT implementation. A pure IT strategy looks at tools and infrastructure, not business levers and change. An AI roadmap answers where AI creates margin or savings and plans investments along that answer. Ideally the AI roadmap is one strand of the overarching company strategy.
// PROVEN RESULTS
How a mid-market company moved from pilot purgatory to a scaled AI organization
8 quick wins in 6 months
1.2 million EUR identified annual benefit
12-month roadmap with 3 horizons
Anonymized case study from mid-market retail, 320 employees, 80 million EUR revenue. Starting point: 14 started AI pilots, 0 productive. We re-sorted the use case mountain: 8 were quick wins, 4 H2 candidates, 2 pure gimmicks. The quick wins went productive in 6 months. Today, 11 AI workflows run operationally, 3 are planned for H2.
// READY?
Request a roadmap workshop, we build your 12-month plan.
We build your 12-month roadmap with you. Use case inventory, ROI estimation, feasibility scoring, 3-horizon allocation. The result is an agile document you can work with next Monday, not an 80-page PDF for the drawer.