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ndlz

Practical AI advisory

A roadmap connected to what can actually reach production.

Field diagnosis, prioritised use cases and concrete recommendations. We start from the tasks, tools and data that already shape the business.

30-minute first call · No commitment

In real work

Not every task needs AI

The right answer may be an agent, conventional automation, custom software or no project. The goal is removing a real operational friction, not checking an AI box.

Use cases

Use cases

A useful first release, then improvements guided by real usage.

USE CASE 01

Mapping

Find where time is lost, errors repeat and useful data exists.

USE CASE 02

Feasibility

Test data quality, integrations and technical limits.

USE CASE 03

Prioritisation

Compare value, cost, risk and implementation speed.

USE CASE 04

Roadmap

Define a measurable first project and the steps beyond it.

Workflow

A simple path from problem to production

01

Team interviews

02

Workflow mapping

03

Use-case selection

04

Feasibility test

05

Costed roadmap

Deliverables

What NDLZ builds

Connected to your tools

Workflow audit01
Leadership workshops02
Focused prototypes03
Risk and cost analysis04
Make-or-buy choice05
Implementation plan06

Control and security

Advice that may conclude “do not use AI”.

We separate assumptions, constraints and evidence. You leave with actionable decisions, not a list of fashionable tools.

NDLZ / CONTROLControlled system
CHECK 01

Limited access

CHECK 02

Activity logs

CHECK 03

Monitoring

CHECK 04

For sensitive decisions, the system prepares the action and a person approves it.

NDLZ

Have a problem your current software cannot solve?

Show us the process, tools and expected outcome. We will tell you honestly what is worth building.

01 PROBLEM02 CONTEXT03 NEXT STEP
Discuss my project

30-minute first call · No commitment

FAQ

Frequently asked questions

Who is this for?+

Leaders and teams that see potential but want to avoid wasting budget on weak use cases.

Do we need clean data already?+

No. Data readiness is part of the diagnosis and shapes the recommendation.

Can you build the solution afterwards?+

Yes. The scoping remains usable by your team or another provider if you prefer.