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Service 02

Automation that removes work, not just a chatbot.

We find the repetitive, error-prone tasks in your daily operations and automate them. We connect your tools so data flows on its own and, where it genuinely helps, add AI, with checks, logs and a person reviewing anything uncertain.

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01 What we do

Automate repetitive work, and use AI where it clearly helps.

We automate repetitive business tasks and add AI to everyday workflows, such as reading documents, routing requests and answering internal questions, with checks and human review built in.

  • 02.1

    Workflow automation

    Connect the tools you already use so information moves between them without copying and pasting.

    • CRM
    • ERP and accounting sync
    • Approval flows
    • Scheduled reports
  • 02.2

    AI document processing

    Read invoices, contracts, forms and scans automatically and turn them into structured data, with a confidence score for each value and a review step for unclear cases.

    • Text recognition from scans (OCR)
    • Checks against your business rules
    • Human review
  • 02.3

    AI assistants

    Internal assistants that answer staff questions using your own documents, and can carry out simple, pre-approved actions in your systems.

    • Answers from your company documents
    • Actions with permissions
    • Full activity log
  • 02.4

    Software integrations (APIs)

    Reliable connections to payment providers, marketplaces, delivery companies and online government services.

    • Automatic retries when a service is down
    • No duplicate actions
    • Monitoring
  • 02.5

    Focused AI tools

    Small tools for specific jobs, such as drafting, sorting, summarising or searching, added to the software your team already uses.

    • Quality testing of AI answers
    • Cost controls
    • Privacy built in

02 How we work

Our approach: AI & Automation

  1. 01

    Automate the process before adding AI

    Many gains need no AI at all, just well-connected tools and clear rules. We add AI where the information is genuinely unstructured, such as scans, emails or free text.

  2. 02

    Measure accuracy before launch

    Every AI step is tested on a set of real examples from your business, and anything below an agreed confidence level goes to a person for review.

  3. 03

    Keep people in control

    Every automated action is logged and can be reversed. Your staff can see what happened and why, and can override it.

Where automation pays off first

The best tasks to automate have three things in common: they happen often, they follow clear rules most of the time, and mistakes are costly or frustrating. Typical examples:

  • Re-typing data from emails, PDFs or scans into accounting or management software
  • Chasing approvals across email and messaging apps
  • Putting together weekly reports from several tools
  • Sending customer requests to the right person with the right information
  • Matching orders, payments and deliveries across different platforms

How we run an automation project

  1. Map the process as it really happens, including the workarounds nobody wrote down.
  2. Rank the opportunities by time saved, errors avoided and how hard they are to implement.
  3. Build reliable connections first, with automatic retries and alerts when something fails.
  4. Add AI where the information is unstructured, such as documents, free text or images, and test it on your own data.
  5. Roll out gradually, starting with human review of every result and reducing it as measured accuracy allows.

AI with safeguards

AI models are powerful, but they make mistakes. We treat them like any other component that can fail: what goes in is checked, what comes out is compared against your business rules, every decision is logged, costs are capped and monitored, and sensitive data is handled according to a written policy. The goal is not an impressive demo. It is a process that runs every day without surprises.

03 Frequently asked questions

AI & Automation

Is our data used to train AI models?

We choose AI services and settings that do not use your business data to train their models, and we can keep the most sensitive processing on servers you control. How your data is handled is documented so your team can review it.

What is a good first automation project?

A frequent, rule-based task that people dislike, such as entering invoices, routing orders or compiling reports. It is easy to measure before and after, and it usually pays off quickly.

Does AI automation work in French and Arabic?

Yes. Current AI models handle French and Arabic well, including documents that mix languages. We test on your real documents in each language before relying on the results.

What happens when the AI gets something wrong?

Results with low confidence, or that fail your business rules, are sent to a person for review. Nothing that cannot be undone happens without a check suited to the risk.

Further reading