AI systems engineering · Dakhla, Morocco
Build intelligence.Make it work.
We design and run AI employees, automations and the software around them, so routine work gets done at any hour and every decision can be checked.
What we build
An AI system is never only a model.
It is the model plus your knowledge, your tools, the order the work happens in, the screens your team uses and the person who signs off. We engineer all six together, because that is where most AI projects quietly fail.
- AIModels that read, reason and write in four languages.
- WorkflowsThe order work happens in, written down and enforced.
- KnowledgeYour facts, policies and history, searchable by the system.
- SoftwarePortals, dashboards and tools your team actually uses.
- AutomationSteps that run on their own between your systems.
- PeopleNamed owners for every decision the machine should not take.
System map
Click any part. The Core shows where it sits.
Eleven parts, one architecture. Each one has an owner, a purpose and a place in the trail, and none of them works alone.
One engine with eight components: identity, knowledge, memory, tools, channels, guardrails, logging and metering. Every AI Employee is a configuration of it.
The transformation
After: people only where they matter.
The AI Employee takes the message, reads your knowledge, works in your systems and acts. A person steps in only where you decided they should.
- Customer
- JDM AI Employee
- Knowledge
- Business systems
- Action
- Person when needed
Two readers
The owner reads outcomes. The engineer reads controls.
This site is written for both of them. So is every proposal we send, and every system we hand over.
What the owner gets
- Time
- Repetitive hours handed to the system, every week.
- Response
- Customers answered in seconds, at any hour, in their language.
- Revenue
- Enquiries qualified and followed up instead of lost.
- Cost
- Work absorbed without adding headcount for every peak.
- Experience
- One consistent voice across WhatsApp, web and email.
- Operations
- Exceptions reach the right person with the full context.
What the engineer checks
- Identity
- Each agent is a named role with written boundaries.
- Permissions
- Read, write and act granted per system, per tool.
- Knowledge
- Retrieval from your sources, cited in the trail.
- Trace
- Every step logged with source, rule, tool and owner.
- Evaluation
- Test sets in four languages, rerun after every change.
- Deployment
- Hosting, models and data location chosen per project.
Index
Where to go next.
- AI EmployeesRoles with a job description
- JDM SystemThe intelligence architecture
- AutomationWorkflows that decide and hand over
- IntegrationsThe systems you already use
- Trust & controlPermissions, approvals, audit
- IndustriesWhere we start
- WorkSystems, documented
- ApproachOur engineering method
- StudioWho builds JDM
- LabNotes from the build