AI agents that take work off your team’s plate.

anatomy / an agent, not a chatbot

It does the work, not just the talking.

1. 01

   Reads

   Connects to your systems: orders, invoices, stock, inboxes, spreadsheets. It works from your data, not from guesses.

2. 02

   Decides

   Applies the rules you set: who to contact, what to flag, when to stop and ask a person.

3. 03

   Acts

   Sends the WhatsApp message, drafts the email, updates the record, opens the task.

4. 04

   Reports

   Logs every step and hands your team a clear summary, so nothing happens in the dark.

watch an agent work

Three runs, step by step.

use cases / where agents earn their keep

If it follows rules and repeats every day, an agent can carry it.

A few of the agents we build. Each one does the routine work end to end and knows exactly where a person takes over.

• 01

  Operations follow-up

  Chases late orders, stuck deliveries and pending approvals before anyone has to ask.

  you stay in controlAnything outside the rules is escalated to a person.

• 02

  Customer service on WhatsApp

  Answers order, booking and account questions around the clock, in Arabic and English.

  you stay in controlComplaints and edge cases go to your team, with the full context.

• 03

  Sales and lead follow-up

  Qualifies new enquiries, drafts replies, logs them in your CRM and books the next step.

  you stay in controlYour team approves every offer and price.

• 04

  Finance back office

  Matches payments to invoices, flags mismatches and sends polite reminders on overdue accounts.

  you stay in controlNothing is paid, refunded or written off without approval.

• 05

  Stock and procurement

  Watches stock against demand, warns before items run out and drafts purchase orders.

  you stay in controlOrders go out only after sign-off.

• 06

  Reports and briefings

  Turns yesterday’s data into a one-page brief, on WhatsApp or email, every morning.

  you stay in controlEvery figure links back to its source record.

• 07

  Documents and data entry

  Reads invoices, receipts, forms and CVs, extracts the fields and fills your system.

  you stay in controlUncertain fields are flagged for review, not guessed.

• 08

  Research and decision support

  Researches a question on the live web, separates evidence from assumption and drafts a recommendation.

  you stay in controlIt informs the decision; it never makes it.

guardrails / autonomy you control

As independent as you want it to be, and no more.

Approval for the irreversible

Payments, refunds, prices and deletions wait for a person.

Scoped access

The agent sees and touches only what its job needs.

Everything on record

What it read, what it decided and what it did, step by step.

Rules in code, not just prompts

Critical limits are enforced by deterministic checks around the model.

Start narrow

One workflow first; extend only what proves itself.

ai governance / for every agent we ship, and the AI you already use

Governance built in, not bolted on.

Guardrails keep one agent safe. Governance keeps your whole organisation in control of AI: who may use it, for what, with which data, and how you prove it. We set it up with every agent we build, and we can govern the AI tools your teams already use.

what we put in place

1. 01

   AI inventory and risk assessment

   Every AI system and use mapped, each workflow rated by its risk, and the decisions an agent may never take written down.

2. 02

   Usage policy

   Clear rules for staff and agents: approved tools, permitted data, and what needs a human sign-off.

3. 03

   Human oversight

   Named owners, approval thresholds and escalation paths for every agent, so accountability is never unclear.

4. 04

   Audit trail

   Inputs, decisions and actions recorded and retained, so any outcome can be traced and explained.

5. 05

   Data protection

   Least-privilege access, data minimisation and clear rules on where data is processed, in line with local data-protection law.

6. 06

   Testing and monitoring

   Agents evaluated before launch, watched in production, with alerts on errors and a switch to pause them at once.

7. 07

   Model and vendor management

   Documented model choices, versions and fallbacks, so a provider change never surprises you.

8. 08

   Reviews and reporting

   Regular governance reviews and a clear report for management on how AI is used and performing.

Structured on recognised practice such as the NIST AI Risk Management Framework and ISO/IEC 42001, and adapted to the size of your organisation.

from our lab

Built and tested on our own operations first.

• SudaFood Operations Agent

  PROTOTYPE

  Follows up restaurants that leave orders waiting, on WhatsApp, inside strict guardrails, and logs every send.

• MOTNIX Idea Scout

  PROTOTYPE

  Researches a startup idea on the live web and separates evidence from assumption before anyone builds.

how we start

Start with one workflow.

1. 01

   Pick the work

   One repetitive, rule-based process that costs your team time every week.

2. 02

   Prototype on real data

   A working agent on a narrow slice, with guardrails from day one.

3. 03

   Measure, then extend

   Keep what proves itself, then connect the next workflow.