AX SERVICE · ENTERPRISE AX CONSULTING & DESIGN

Not just where to adopt AI,but how your company will change.

We analyse your current work, data and systemsto find where AI creates the largest effect, and in what order.

And we do not stop at strategy — we carry it through PoC and real implementation.

WHY

Companies are adopting AI,but it rarely turns into AX.

Everyone uses AI on their own.

People use ChatGPT and other services, but none of it connects to how the company actually works.

AI projects run separately.

Support AI, document AI and automation projects are each built on different assumptions.

Data and systems stay disconnected.

The AI exists, but it cannot properly use the company's real information and business systems.

Nobody knows where to start.

There are many possible AI technologies, but the highest-impact starting point is unclear.

Using a lot of AIis not the same as becoming an AX company.

DIAGNOSIS

Before technology,we look at how the company works.

AX does not begin with choosing a model. We look at how work starts, what data it uses, which systems it passes through, where a person has to decide, and where repetition and bottlenecks appear.

Example of a real workflow analysis

Where AI can be applied

  1. Customer enquiry
  2. Owner check
  3. CRM lookup
  4. Email search
  5. Quote drafting
  6. Approval
  7. Send

What we analyse

  • Workflow

    Who performs which step, and in what order

  • Data

    Where the information needed for the work lives

  • Systems

    ERP, CRM, groupware, databases in use

  • Repetition

    Where lookup, sorting, writing and hand-off repeat

  • Decisions

    Work that genuinely requires human judgement

  • Bottlenecks

    Where time and people pile up

AX does not start from AI.It starts from the work.

PRIORITY

Not wherever AI is possible,but wherever the effect is largest.

Not every task needs AI. For each area we review expected effect, implementation difficulty, data readiness, business risk and room to expand, then set the priority.

  • Expected effect
  • Difficulty
  • Data readiness
  • Business risk
  • Expandability
ImpactFeasibility
  1. 01

    Start here

    High effect, ready to begin

    • · Many website enquiries → AI website
    • · Repetitive support work → support AI
  2. 02

    Next step

    Needs data preparation alongside

    • · Long search for sales material → sales agent
    • · Email and document knowledge matters → internal knowledge AI
  3. 03

    Longer term

    Requires system integration and permission design first

    • · Heavy repetitive lookup and entry → AI work agent

Not the most impressive AI,but the AI that delivers first.

AX ROADMAP

Not a single AI project,but the order of AX for the whole company.

The selected AI areas are not built as isolated projects. We design how data, knowledge and business systems are reused, and how each step expands into the next.

  1. STEP 01

    AI website

    Answering customer questions

  2. STEP 02

    Support AI

    Repetitive enquiries and agent assistance

  3. STEP 03

    Company knowledge

    Structuring internal knowledge

  4. STEP 04

    AI work agent

    Executing internal work

  5. STEP 05

    System integration

    ERP · CRM · groupware

  6. STEP 06

    Company-wide AX

    Scaling the proven structure

One important note

This order is not the answer for every company. Some start from internal knowledge, others from a sales agent. The roadmap is designed around where the company actually stands today.

DESIGN & POC

We turn the roadmap intoan AI system that actually runs.

Once the roadmap is set, we make it concrete as a system structure that can genuinely be built.

  1. Business

    • Work workflow
    • Owners · approval
  2. Knowledge / Data

    • Products · services
    • Manuals · documents
    • Email · customer data
  3. AI / Agent

    • LLM
    • RAG
    • Search
    • Tool calling
    • AI agent
  4. Tools / Systems

    • ERP
    • CRM
    • Groupware
    • Existing system APIs

How a PoC runs

  1. 01Connect real data
  2. 02Build the AI
  3. 03Test in real use
  4. 04Verify the effect
  • AI system design

    LLM, RAG, search, tool calling, AI agents, work workflows and existing system APIs, designed for your environment.

  • Knowledge design

    We structure the company data the AI must use: products, services, manuals, email, documents and customer information.

  • Permission & security design

    Who can access which data, which work the AI may run automatically, and which work requires user or administrator approval.

  • PoC design

    We do not build a company-wide system on day one. We pick the single highest-impact task and validate it first.

Validate small,then expand what has been proven.

FIT & PROCESS

If this sounds like your company, start from AX design.

A good fit for

  • Companies that want AI but don't know where to start
  • Companies where each employee uses AI separately
  • Companies wanting to unify several AI projects
  • Companies wanting to connect internal data with AI
  • Companies exploring work automation
  • Companies that need a company-wide AX roadmap

How AX PARTNER works

  1. Diagnose
  2. Discover
  3. Prioritise
  4. Design
  5. PoC
  6. Build
  7. Expand
  1. 01

    Current-state diagnosis

    We analyse work, data and systems.

  2. 02

    AX candidate discovery

    We find the areas where AI can apply.

  3. 03

    Priority decision

    We choose the starting point by effect and difficulty.

  4. 04

    AX roadmap

    We design the step-by-step expansion plan.

  5. 05

    System design

    We design the AI, knowledge, agent and permission structure.

  6. 06

    PoC

    We verify the real effect on a core task.

  7. 07

    Build and expand

    We apply the proven areas to real work and scale from there.

In AX, choosing the right starting pointmatters more than choosing technology.

We start by mapping which work should change first, what data must be prepared, and which AI structure fits your company — and then we build it.