A workflow platform fits when
- the team wants to change it without a developer
- the steps are mostly connectors between tools you already use
- volume is in thousands of runs a day, not millions
SpecialityAutomation
The work your team repeats every day, handed to workflows and AI agents that run around the clock, ask a person when it matters, and keep a record of every step. Repetition, encoded.
SW4gZGVtYW5k In demand
What clients ask us to automate
The same requests arrive from every sector: invoices, leads, tickets, onboarding, reports. Pick a team to see what we usually take off its plate.
- FI-01
Supplier invoices
Read from the inbox in Arabic or English, matched to the purchase order and posted. People only see the mismatches.
Inbox → document AI → ERP
- Document AI
- Approval
- FI-02
Bank reconciliation
Statements matched to the books every morning, with a plain explanation for what does not match.
Bank feed → matching → ledger
- Workflow
- Agent
- FI-03
Expense claims
Receipts sent on WhatsApp, checked against policy, filed against the right cost centre.
WhatsApp → policy check → books
- Document AI
- FI-04
Month-end pack
The board pack drafted from the ledger, every figure linked back to its source.
Ledger → analysis → report
- Agent
- Reporting
In the Gulf the front door is often WhatsApp, and many documents arrive in Arabic. Both are first-class here, not an afterthought.
QmVmb3JlIGFuZCBhZnRlcg== Before and after
Seven steps by hand, one decision left
Automation does not remove people. It removes the copying, the chasing and the checking, so the one step that needs judgement gets someone's full attention.
Hands on it7of 7
- 01Open the emailBy hand
- 02Download the PDFBy hand
- 03Type the lines into the ERPBy hand
- 04Find the purchase orderBy hand
- 05Check totals and VATBy hand
- 06Chase the manager to approveBy hand
- 07Post it and file itBy hand
V29ya2Zsb3dz Workflows
Wired on the platform that fits
n8n, Make, Zapier or Power Automate when a visual workflow is the right tool, self-hosted when the data cannot leave, and durable code when the volume or the logic outgrows them.
Workflow: inbound WhatsApp
Run #4127 · bookingWaiting for a message
Executions
Code fits when
- a run lasts hours or days and has to survive a restart
- the logic needs tests, review and versions
- the cost of each run matters at scale
- Workflow platforms
- n8n
- Make
- Zapier
- Power Automate
- Activepieces
- Pipedream
- Durable execution
- Temporal
- Inngest
- Trigger.dev
- AWS Step Functions
- Apache Airflow
- RPA
- UiPath
- Automation Anywhere
- Power Automate Desktop
- Events
- Webhooks
- Kafka
- RabbitMQ
- Amazon SQS
- Cron
QWdlbnRz Agents
Agents that do the work, and ask first
An agent reads the request, looks things up, decides and acts, through the same systems your team uses. Anything irreversible waits for a person.
An agent at work
Here it handles a damaged-item refund from start to finish. Each tool it calls is one of your systems, exposed through MCP with only the permissions this job needs. The refund is yours to approve or decline.
- Frameworks
- LangGraph
- OpenAI Agents SDK
- Claude Agent SDK
- Google ADK
- Microsoft Agent Framework
- CrewAI
- Pydantic AI
- Models
- OpenAI
- Anthropic
- Google Gemini
- Mistral
- Open-weight, self-hosted
- Browser and computer use
- Playwright
- Browserbase
- Computer-use models
- Voice
- Vapi
- Retell AI
- ElevenLabs
- Twilio Voice
- Documents
- Azure Document Intelligence
- Google Document AI
- Amazon Textract
- Arabic OCR
Agent · refunds
IdleU3RhbmRhcmRz Standards
Built on open protocols
Two open standards now shape how agents are built. We use both, so what we build is not tied to one model or one vendor.
MCP
Model Context Protocol
The common plug between an agent and your tools and data. We wrap your systems as MCP servers with scoped permissions, so any capable model can use them, and none can do more than it should.
A2A
Agent2Agent
How agents from different vendors find each other, hand over a task and report back. For when your agent has to work with a supplier's, a partner's or a platform's.
R3VhcmRyYWlscw== Guardrails
Automation you can sign off
The questions a finance director or a security team asks before an agent touches real money or real data, answered in the build rather than after it.
- 01
A person where it matters
Approvals on anything irreversible or over a limit, asked in Slack, Teams or WhatsApp.
- 02
Every step on record
Each run keeps its inputs, decisions and tool calls, so it can be replayed for an auditor.
- 03
Measured before it ships
Evaluation sets built from your own past cases. A change that lowers the score does not deploy.
- 04
A ceiling on cost
Budgets per run and per day, and smaller models wherever they are good enough.
- 05
Data stays where it should
Self-hosted n8n and models in-region when data cannot leave, personal data masked before any prompt.
- 06
Fails safe
Retries, timeouts and a hand-off to a person, so a stuck run never goes quiet.
Tell us what you want to build
Thirty minutes is usually enough to tell whether there is something here. No deck, no discovery questionnaire.
- DohaQatarHeadquarters. Address to come.
- DubaiUnited Arab EmiratesOffice. Address to come.
- AlgiersAlgeriaOffice. Address to come.
- ParisFranceOffice. Address to come.