AI agents
Chain actions across your tools: search, check, draft, update, then hand over for approval.
01 · Applied artificial intelligence
AI solutions that run inside your operations
Agents, knowledge assistants, document automation and copilots, designed around your processes, connected to your systems and supervised by your people.
Overview
Agents, knowledge assistants, document automation and copilots, built into the tools your teams already use. AI executes; your people keep the decisions.
Most organisations have tried a chatbot. Few have AI that actually finishes work: reads the invoice, checks it against the order, updates the ERP and asks a person only when it matters. That is what we build.
Complimentary AI diagnostic
The challenge
Why AI pilots stall
- The demo works on clean examples, not on your real documents, in two languages.
- The tool sits next to your systems instead of inside them, so nobody uses it.
- No one agreed what success means, so no one can decide to scale it.
- Legal and IT raise data, hosting and AI Act questions too late.
Our answer
How we make it work
We start from one process and its numbers, build on your real data, connect to the tools your teams already use and put a human approval step wherever a decision commits the organisation. Indicators are agreed before the first line of code.
Request the free diagnosticCapabilities
What we deliver.
AI agents and copilots · Knowledge assistants · Document automation · AI inside your ERP and CRM
Knowledge assistants
Answer from your policies, contracts and procedures, citing the exact source.
Document automation
Invoices, forms, contracts and reports read, checked and filed, in Arabic and English.
Business copilots
Assistance built into your own applications, where your teams already work.
Systems integration
Connectors to ERP, CRM, email, document bases and APIs, with least-privilege access.
Governance & supervision
Action logs, quality sampling, approval rates and a review cadence after go-live.
See it work
Three agents, three real-world jobs.
Pick a scenario: the agent reads, checks and prepares, then asks a person to decide when it matters.
فاتورة ضريبية
- المورد
- شركة الخليج للتوريدات
- رقم الفاتورة
- INV-4471
- الإجمالي شامل الضريبة
- 172,500.00 ر.س
- Invoice read: supplier, 6 lines, VAT 15%, total SAR 172,50000:01
- Purchase order PO-2291 matched in the ERP00:02
- Line 3: unit price +4.2% vs. order (threshold: 2%)00:03
- Buyer approval needed Approved · posting prepared in the ERP · action logged
Hello, our order was due on Tuesday and we have no update. Can you confirm the new date?
- Classified: delivery delay · high priority00:01
- Order 8812 found: held at customs, new ETA Thursday00:02
- Reply drafted with the new date and tracking link00:03
- Goodwill credit of 2% proposed: account manager approval Reply sent · credit applied · CRM updated · action logged
How many days of annual leave do I get in my first year?
- Searched 3 HR policies the employee is allowed to read00:01
- Answer found in policy HR-04, section 2.100:02
- Answered with the source cited; no action taken00:03
- Information only · logged for quality sampling
Illustrative scenarios with fictitious data.
Responsible AI
Six safeguards in every solution.
Built into the platform, so every country and every use case inherits them.
People keep the decision
For sensitive actions, the agent prepares and a person approves.
Confidential by default
Access limited to what is needed, under your rules and contracts.
EU AI Act & GDPR
Each use case is assessed against the risk levels, and choices are documented.
Gulf data laws
National data protection requirements reviewed with your legal team.
Every action logged
What was read, what was done, who approved it.
Hosting you choose
Model and hosting location matched to your residency needs.
Approach
Five steps, visible progress at each one.
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01
Complimentary diagnostic
Business workshops, task mapping, prioritised use cases and the indicators that will prove value.
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02
Measured prototype
One solution on a real case, measured against the indicators agreed with your team.
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03
Industrialise
Integration with your tools, security, access management, hosting choice and tests.
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04
Roll out
Training, change management and a gradual ramp-up, team by team.
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05
Supervise
Answer quality, action logs, human approval rates and new use cases.
Benefits
What changes for you.
Measured before scaled
Every prototype is judged on indicators your team chose.
Bilingual by design
Tested on your Arabic and English documents before roll-out.
Humans stay in charge
Approval steps where they matter, full traceability everywhere.
Work
In production today.
IT-STOCK, a microstock platform with an AI component
Selling videos, images, audio, After Effects projects and 3D models, with a data scientist on the team.
- Timeline
- Since June 2021, delivered in batches over 3 years
- Stack
- Django · Python · JavaScript · Artificial intelligence
A software assistant that understands a plain-language request, looks things up in your tools and documents, chains actions (search, draft, sort, update) and hands back to a person when a human decision is needed.
Yes. Current language models read and write Arabic, and our teams work in Arabic, English and French. Each solution is tested on your own documents in each language before roll-out, because quality varies with the document type and the dialect.
Workshops with your business teams, a map of the tasks worth automating, a prioritised list of use cases and a prototype proposal with the indicators that will measure it. It is free, with no commitment.
Yes: access limited to what is needed, processing under your rules and contracts, a log of every agent action, model and hosting chosen for your residency constraints.
Each use case is assessed during the diagnostic. For European clients, GDPR and the EU AI Act risk levels shape the design: transparency, documentation and human oversight. For Gulf clients, the applicable national personal data protection law (Saudi Arabia, the UAE, Qatar, Oman and Bahrain all have one) is reviewed with your legal team. Model and hosting are then chosen to match, and every agent action is logged.
Indicators are agreed with your team before any code is written: share of requests handled, answer quality checked on samples, human approval time, errors avoided. The prototype is measured against them before any decision to industrialise.
No. It takes on the repetitive part of the work and prepares decisions; your people stay in charge of anything that commits the organisation.
Europe · Gulf · North Africa
Let’s map your next programme.
Tell us where you want to go. A senior consultant answers, in English, French or Arabic, with a first view of scope, team and timeline.