
Member of the

Partner Networks
Macromin is a member of the Claude Partner Network and OpenAI Partner Network.

Member of the

Member of the
What we do
From first use case to team-wide adoption, we connect strategy, implementation and practical training.
We design and deploy useful AI systems around a defined business problem, existing tools and clear operating boundaries.
Move from scattered experiments to an adoption plan your teams can use, govern and improve.
Practical sessions for leaders who need to evaluate opportunities, make informed decisions and guide implementation.
Role-based training that helps employees use AI effectively within company policy and real working processes.
Platforms & deployment
Licensing, business communication and controlled AI deployment—designed to work with the tools your teams already use.
Licensing & lifecycle management
Microsoft 365 subscription setup, seat and plan changes, renewals, billing coordination and ongoing administration.
Licensing, administration & support
Workspace account setup, subscription orders, licence changes, customer transfers and support coordination.
Business Platform workflows
Opt-in workflows for lead capture, customer support, reminders, updates and live-agent handoff, connected to your business systems.
Controlled, task-specific systems
Deploy agents for customer and internal workflows with scoped data access, evaluation, monitoring and human oversight.
Governed delivery
For organisations in Europe and the GCC, regulatory and operational requirements are mapped to the specific workload, data and deployment environment.
NABIDH applies to relevant Dubai healthcare workloads. Regulatory alignment is scoped per project and depends on customer responsibilities, data, hosting and system configuration.
Hosting, residency, retention and system access are scoped before implementation.
Least-privilege access and clear roles for people, platforms and agents.
Logging, evaluation and review paths appropriate to the workload and its risk.
Escalation and approval steps where automation should not make the final call.
Start with the real requirement
Tell us what should improve, who it affects and where the data lives.