Kaidris AI & enterprise transformation advisory
A practitioner-led boutique advisory. We design, build and govern AI systems that reach production — working software, not slideware.
01 What we do
We help organizations adopt AI that actually reaches production — pairing hands-on AI engineering with 15+ years of enterprise depth.
Most AI initiatives stall between the pilot and the platform. We work the whole path: from the business problem, through architecture and build, to a system running inside your processes with governance that holds.
The firm is led by a practitioner who still builds — so the advice is grounded in what ships, and the engineering is grounded in how large organizations really work.
02 Services
Turn business problems into feasible, high-value AI use cases — scoped, prioritised and tied to measurable outcomes before a line of code is written.
Architecture, orchestration and guardrails for systems of agents that hold up in production — observability, failure handling and reliability first.
Fine-tuning, quantization and deployment — including cost-efficient single-GPU inference and open-weight models where they make sense.
Quality controls, red-teaming and “prove-it-can-fail” verification frameworks — so confidence in a system is earned with evidence, not assumed.
Wiring AI into SAP and your core business processes and data — where the value lives, with the controls enterprise systems demand.
A senior AI architect for teams that don't have one in-house — direction, reviews and hands-on help, a few hours a week.
03 Why Kaidris
A small firm, deliberately. You work directly with the principal — the same person who designs the system, builds it and stands behind it in production.
Public open-weight models with 10,000+ downloads and a production multi-agent system — the same hands that advise, build. No hand-off between the people who talk and the people who deliver.
Evidence: public work, running systems15+ years across SAP, digital transformation and large-scale delivery. We know how big organizations change — and where AI projects really fail.
Evidence: 15+ years enterprise deliveryEnglish, Arabic and French — across the GCC, Europe and global teams. Workshops, documentation and stakeholder alignment in the language the room speaks.
Evidence: EN · AR · FRBefore we start, we write down what "done" looks like and how it will be measured in production — then every engagement is held to that, not to a deliverable that lives in a slide.
Evidence: measured, not asserted
04 Proof
AI transformation leader and enterprise architect. Fifteen-plus years in enterprise software (SAP) and digital transformation; now builds and ships production AI — multi-agent orchestration, open-weight model builds and AI governance.
05 How we work
A defined scope with a defined outcome — a use-case portfolio, a target architecture, or a system taken to production.
Ongoing access for the decisions that shouldn't wait — architecture reviews, model and vendor choices, governance questions.
A senior AI architect embedded a few hours a week — for teams that need the seniority without the headcount.
Remote-first, worldwide — with on-site time when it matters. Every engagement is scoped to the problem in front of us: there is no menu, there is a conversation.
Remote-first · Worldwide · EN / AR / FR06 Work with us
Tell us about the problem. We'll tell you plainly whether AI is the right answer — and what it would take to put it into production.
