Business process automation & AI

Your business.
In a better flow.

We connect your systems, streamline repetitive work, and build automation around the way your business operates.

Let’s identify your first process to automate
+SYSTEMS
+PEOPLE
+PROCESSES
01 / A DIFFERENT PERSPECTIVE

When data flows, your team moves forward.

Requests, orders, documents, reports. We identify what repeats, where time is lost, and what is worth connecting or automating.

Then we build a clearer, faster workflow that is easier to manage and scale.

02 / EXPLORE A SCENARIO

Same process. A better way to run it.

Choose an activity. Compare manual work with a connected workflow.

  • Orders
  • REQUESTS
  • REPORTS
Manual Connected
01
Online Store
A new order
Online Store
A new order
02
Automated Data Transfer
Based on predefined rules
Manual Data Entry
A team member transfers the data
03
Order Organised
Clear status and next action
Separate Follow-Up
Order status is checked manually
01
New Request
Form or message
New Request
Form or message
02
Routing & Rules
Categorised and assigned automatically
Manual Routing
Who should handle it?
03
Task Assigned
Clear owner and next action
Follow-Up by Message
A team member checks the response
01
Data Sources
Information from connected systems
Data Sources
Exports from different systems
02
Collection & Validation
Scheduled and rule-based
Manual Consolidation
Data is copied and combined by hand
03
Report Ready
Prepared in the agreed format
Report Prepared
Rebuilt for every reporting period
Exceptions go to your team
Your team steps in at every handoff
Data moves automatically between connected systems. Your team steps in only when review or a decision is required.
Order information is copied, entered again, and checked separately across systems.
Each request follows a defined workflow. The right person receives the task, context, and next step automatically.
Requests are passed around manually, and the next step depends on internal follow-ups.
Data is collected, validated, and consolidated into a repeatable reporting workflow, with exceptions routed to your team for review.
The team exports, copies, combines, and checks the data again for every reporting cycle.
Illustrative scenario. Feasibility and the final solution are defined after reviewing the process and existing systems.
Let’s identify your first process to automate

We build the next level of automation your business actually needs.

  • MANUAL
  • DIGITAL
  • Connected
  • AI-Assisted
  • Autonomous

People execute and track every step.

Information is digital, but data transfer remains manual.

Systems exchange data based on defined rules.

AI analyses information, classifies cases, and prepares the next step, while your team reviews situations that require a decision.

Defined workflows run independently, with monitoring and exception escalation

03 / WHAT WE BUILD

Connect what you use. Automate what you repeat.

  • 01

    Workflows that keep moving.

    We turn repetitive activities into structured workflows with clear steps, ownership, and business rules

  • 02

    Systems that work together.

    We connect the tools your business already uses and automate data exchange through integrations, APIs, and custom solutions where needed.

  • 03

    AI with a clearly defined role.

    We use AI where interpreting information, processing documents, or preparing responses creates real business value. With clear boundaries, defined rules, and human oversight where decisions matter

People at the centre. Routine in the system.

The goal is not to automate everything.

The goal is a better way of working: less repetitive work, clear ownership, and human control where it matters.

04 / FROM IDEA TO EXECUTION

Understand.
Design.
Put it to work.

We start with how your business actually operates. Each stage makes the next step clear.

01
Get aligned.

We discuss your team, the systems you use, and the activities that consume time. We clarify what you want to improve and what needs to be analysed.

Outcome: a shared objective.
02
Understand the process.

We examine the steps, data, dependencies, and exceptions. We identify where automation can create a meaningful business outcome.

Outcome: clear opportunities and requirements.
03
Define the solution.

We decide what to connect, what to automate, and where AI can add value. We define the scope, timeline, costs, and acceptance criteria.

Outcome: a clear implementation plan.
04
Build & launch.

We implement the solution, connect your systems, test the relevant scenarios, and prepare the workflow for live use with your team.

Outcome: a live, validated process.

One team.
One complete perspective.

Zazitex brings together business context, process automation, experience design, and technical development.

We do not treat integrations, interfaces, and workflows as separate projects. We see them as parts of one connected system.

  • Business
  • Processes
  • Design
  • Development
05 / NO UNNECESSARY UNKNOWNS

Before the first step.

01
What investment should we expect?

The budget depends on process complexity, the systems and integrations involved, data volume, and operational requirements. Our proposal clearly outlines implementation costs, recurring expenses where applicable, and support options.

02
Do we need to replace our existing systems?

Not necessarily. We first assess the available integration options. Whether your current systems can stay in place depends on their functionality, data access, and the requirements of the process.

03
Does every automation need AI?

No. Many business processes can be automated effectively through rules, workflow automation, system integrations, and automated data exchange. We use AI only when the nature of the task makes it the right solution.

04
Can we start with a single process?

Yes. In many cases, that is the best place to start: one clear, repetitive process with a measurable outcome. We expand automation based on business needs and the results achieved.

05
Which processes are worth automating?

Typically, processes that are repetitive, time-consuming, involve manual data transfers, recurring checks, document handling, approvals, or steps based on clear rules. We do not assume the solution before we understand the process.