AI readiness & maturity
Know where you are before you buy more AI
Most teams are ready to buy AI tools. The problem is their data is scattered, their processes are uneven, and nobody agrees on what “ready” means. We run assessments to give you a clear picture of maturity, risk, and what to fix in what order.
Implementation work typically follows the roadmap, not the other way around.
Without a roadmap
- Jump straight to AI tools
- Disconnected systems & spreadsheets
- No shared picture of maturity
- Budget spent on hype, not sequence
After an AI assessment
- Maturity scored across your full stack
- A clear sequence: what comes first
- Roadmap you can defend to leadership
- AI planned for the right stage, not day one
Digital maturity path
- 1DigitalizationStable data & processes
- 2IntegrationSystems talk to each other
- 3AutomationRepeatable workflows
- 4IntelligenceAI where it belongs, usually last
What the assessment gives you
Maturity & readiness picture
- Where you sit on digitalization, integration, automation, and intelligence.
- What’s stopping you from getting value from AI before you spend on models.
- Plain-language summary your leadership can align on.
Examples: Workshops, interviews, stack review, document & data review.
Prioritized roadmap
- Clear order for what to do first, second, and later.
- Risks and dependencies flagged so nothing is treated like a magic fix.
- Clear signals when to go deeper on implementation versus when to wait.
Examples: 30-60-90 day plans based on where you stand today.
Education on the framework
- Plain explanation of why sequence matters for durable results.
- Common language for ops, IT, and leadership.
- Optional implementation after the roadmap, when it makes sense.
Examples: Executive presentation, Q&A, links to tools & checklists.
After the roadmap (examples)
Anonymized contexts — real production outcomes.
B2B SaaS · ~45 people · Series A
Post-roadmap: lead routing
Problem
Team wanted AI overnight; assessment showed integration gaps first.
What we built
Phased plan: fix data connections, then automation, then enrichment models.
“We stopped debating AI and started fixing the sequence.”
15 hrs
back per week after automation phase (not day one)
E‑commerce ops · multi-channel
Post-roadmap: content throughput
Problem
Scattered tools and unclear ownership before any AI spend.
What we built
Roadmap prioritized integration, then repeatable workflows, then AI assist.
“The assessment gave us permission to say ‘not yet’ to the wrong AI.”
3×
output after automation foundations were in place
Operations · 4+ systems
Post-roadmap: reporting
Problem
Leadership wanted AI summaries; data wasn’t unified yet.
What we built
Integration work first, then automated summaries with a human review step.
“We finally knew where we were on the maturity map.”
6→30
minutes for weekly reporting after foundations
Why assessment before implementation
We’re not here to sell you AI for its own sake. The assessment exists so you don’t automate chaos, bolt models onto broken pipes, or fund projects that skip the groundwork.
Honest sequencing
Digitalization and integration come before intelligence in most real environments
Evidence-based findings
Everything we tell you comes from what we saw in your systems and workflows, not generic slides
Built for real organizations
Roadmaps account for approvals, policy, and human sign-off where they matter
Clear next step
You walk away knowing exactly what to do next, even if the answer is to wait
What you walk away with
An assessment succeeds when you can explain your maturity in one slide and decide what to fund next.
4
Maturity lenses
Across all four maturity stages
1
Roadmap
Prioritized for your org
60
Day view
Covers your next 60 days
100%
Evidence-led
Based on your actual stack & workflows
How assessments work
Three steps. No surprises.
Discover
We learn how work really happens: systems, data, process gaps, and where AI is being discussed.
Assess & score
We map your position across digital maturity phases and surface blockers before intelligence.
Roadmap & delivery
You get what to fix first and where AI fits later, with a roadmap your team can run.
Book a time
Choose a slot that works for you. No prep required; we will ask the right questions on the call.
Who you work with
Nicolas Dominici
Founder, AIx Automation
Nicolas works with leadership teams to map digital maturity, sequence fixes, and avoid buying AI before the groundwork is in place. Engagements blend workshops, stack review, and a roadmap your organization can actually run.
LinkedIn →How engagement works
- Assessments are fixed-scope: you get a maturity picture, prioritized roadmap, and exec-ready summary.
- Implementation is quoted per package after discovery. No surprise phases.
- Not sure where you fit? Start with free tools or a single conversation.
Common questions
Straight answers on assessments, timing, and how we work after the roadmap.
We interview stakeholders, review how data and workflows actually run, and score you across digitalization, integration, automation, and intelligence. You get a prioritized roadmap and plain-language summary for leadership.
Clarity first. Then build.
Book a conversation. You’ll walk away with a concrete view of maturity and next steps, not a shelf of ideas.
No prep needed. We’ll guide the conversation and ask the right questions.