Who builds it, you or a team?

You work directly with Amine. Your message reaches him, he reads it himself and he comes back to you: no queue, no ticket number and no account manager between you and the work. That does not change after delivery. Your contact stays the person who knows the project.

Can we take on several areas at once?

It can be done, but it is rarely wise. Start with the process that costs the most time. Once that runs the next one gets easier, because the foundation is already there: the integrations and the agreements around them exist and do not have to be built again.

What if our work fits none of these five areas?

The five areas are not a menu but a way of sorting what comes back often. If your work does not fit one of them, it is usually more specific rather than impossible. Describe it in your own words and we will look at it.

Solutions

Where can we start inside your organisation?

With the areas where we look for lost capacity. For each one you read below what usually goes wrong, what a system can take over and what stays with a person. If you recognise yourself in one of them, that is the process to start with.

The five areas side by side, with the division of work per area. Each area is worked out below.
Area	What a system takes over	What a person keeps doing
AI Sales	Asking the questions, qualifying, putting it in the CRM and sending a reminder when no answer comes.	The conversation itself, the price and the decision to send an offer.
AI Operations	Reading, checking for completeness, writing to the right system and passing it to the right person.	Exceptions, unusual documents and anything that needs a signature.
AI Support	Sorting, answering from what your organisation has already written down, and passing it on as soon as it falls outside that.	Complaints, borderline cases and every conversation where tone matters more than the answer.
AI Intelligence	Gathering, summarising and laying it out in a fixed overview, with the source attached.	The interpretation and the decision that follows.
AI Marketing	Gathering what there is to tell, turning it into a script, making visuals and getting it ready to publish.	The choice of what goes out, and the final say before publishing.

AI Sales

Leads followed up before you get to them.

Where it gets stuck today

Requests that come in by form, mail or phone and are then moved across by hand.

The workflows this covers

Qualifying leads
Updating the CRM
Sending follow-ups
Scheduling appointments

What a system takes over

Asking the questions, qualifying, putting it in the CRM and sending a reminder when no answer comes.

What a person keeps doing

The conversation itself, the price and the decision to send an offer.

No client case study is public for this area yet. What is possible, we discuss based on your own workflow.

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AI Operations

Documents and data that process themselves.

Where it gets stuck today

Files and messages that come in and get retyped by someone into another system.

The workflows this covers

Reading documents
Processing data
Routing work
Handling admin

What a system takes over

Reading, checking for completeness, writing to the right system and passing it to the right person.

What a person keeps doing

Exceptions, unusual documents and anything that needs a signature.

Where we built this

At AFILAL the business delivery runs through a single grid. It is filled in once a day, and the system derives the kitchen work views, the split per client, the bread calculation and the order history from it.

Read the AFILAL case study

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AI Support

Questions answered the moment they come in.

Where it gets stuck today

The same questions that come back every week and get answered by hand every time.

The workflows this covers

Sorting tickets
Finding the knowledge
Answering routine questions
Escalating in time

What a system takes over

Sorting, answering from what your organisation has already written down, and passing it on as soon as it falls outside that.

What a person keeps doing

Complaints, borderline cases and every conversation where tone matters more than the answer.

No client case study is public for this area yet. What is possible, we discuss based on your own workflow.

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AI Intelligence

Knowing what is going on without spending a day on it.

Where it gets stuck today

Numbers and context spread across systems and gathered together by hand.

The workflows this covers

Doing research
Reporting
Opening up knowledge
Backing decisions

What a system takes over

Gathering, summarising and laying it out in a fixed overview, with the source attached.

What a person keeps doing

The interpretation and the decision that follows.

Where we built this

The AFILAL management dashboard brings together ten sections, from sales overview and product analysis to planning, punctuality, preparation times and the ratio between wage cost and revenue.

Read the AFILAL case study

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AI Marketing

Staying visible without it costing time every week.

Where it gets stuck today

Ideas and visuals that sit until someone frees up time between other work.

The workflows this covers

Collecting ideas
Writing scripts
Making visuals
Getting it ready to publish

What a system takes over

Gathering what there is to tell, turning it into a script, making visuals and getting it ready to publish.

What a person keeps doing

The choice of what goes out, and the final say before publishing.

No client case study is public for this area yet. What is possible, we discuss based on your own workflow.

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Frequently asked questions

What usually follows.

Not sure yet

You do not have to choose up front. The analysis reads your workflow and says which area the work falls into.

Analyse a workflow Book a call

Where can we start inside your organisation?

AI Sales

AI Operations

AI Support

AI Intelligence

AI Marketing

What usually follows.

Who builds it, you or a team?

Can we take on several areas at once?

What if our work fits none of these five areas?

Start from the work, not from the area.