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AI readiness & maturity

Know where you are before you buy more AI

Most teams want AI—but sustainable AI sits on top of digitalization, integration, and automation. We start with assessments and audits so you get clarity, a prioritized roadmap, and an honest picture of what to fix first.

Assessment-first: clarity before buildFramework you can teach: D → I → A → IRoadmap output, not a vague “AI strategy” PDF

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 real stack
  • A clear sequence: what comes first
  • Roadmap you can defend to leadership
  • AI scoped to the right phase—not week one

Digital maturity path

  1. 1
    DigitalizationStable data & processes
  2. 2
    IntegrationSystems talk to each other
  3. 3
    AutomationRepeatable workflows
  4. 4
    IntelligenceAI where it fits—usually last

What the assessment gives you

01

Maturity & readiness picture

  • Where you sit on digitalization, integration, automation, and intelligence.
  • Gaps that block AI before you spend on models.
  • Plain-language summary leaders can align on.

Examples: Workshops, interviews, stack review, artifact & data review.

02

Prioritized roadmap

  • Phased sequence: what to do first, second, and later.
  • Risk and dependency callouts—no magical “AI fixes everything.”
  • Decision points for when to invest in deeper implementation.

Examples: 30–60–90 style plans tied to your maturity stage.

03

Education on the framework

  • How digital maturity unlocks AI outcomes.
  • Shared vocabulary for ops, IT, and leadership.
  • Optional deeper engagements only after the roadmap.

Examples: Executive readout, Q&A, links to tools & checklists.

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

Traceable conclusions

Findings tie back to what we saw in your systems and workflows—not generic advice

Governance-ready

Roadmaps leave room for approvals, policy, and human sign-off where they matter

Clear next step

You leave with a decision on what to do next—including when not to build yet

Outcomes we optimize for

An assessment succeeds when you can explain your maturity in one slide and decide what to fund next.

4

Maturity lenses

Digitalization → Intelligence

1

Roadmap

Prioritized for your org

60

Day view

Near-term milestones typical

100%

Evidence-led

Tied to your stack & workflows

How assessments work

Map → build → launch. No mystery phases.

    1

    Discover

    We learn how work really happens: systems, data, handoffs, and where AI is being discussed.

    2

    Assess & score

    We map your position across digital maturity phases and surface blockers before intelligence.

    3

    Roadmap & readout

    You get a clear roadmap: what to digitalize, integrate, and automate first—and where AI belongs later.

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 handoffs, then automation—then enrichment models.

We stopped debating AI and started fixing the sequence.
Head of RevOps (anonymized)

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.
Marketing lead (anonymized)

output after automation foundations landed

Operations · 4+ systems

Post-roadmap: reporting

Problem

Leadership wanted AI summaries; data wasn’t unified yet.

What we built

Assessment-led integration work before narrative generation.

We finally knew where we were on the maturity map.
Ops manager (anonymized)

6→30

minutes for weekly reporting after foundations

Clarity first. Then build.

Book an assessment conversation—walk away with a concrete view of maturity and next steps, not a shelf of ideas.

No prep needed—we’ll ask the right questions on the call.