Qatar's Ministry of Communications inks AI partnerships to speed government digital transformation
Doha - December 9, 2025
Qatar's Ministry of Communications and Information Technology announced a slate of strategic partnerships at World Summit AI Qatar 2025. The program brings MEEZA, Accenture, Google Cloud, Microsoft, Oracle, and Scale AI together under the Government AI Program to accelerate AI adoption across government services and deliver high-impact digital projects aligned with the Digital Agenda 2030 and Qatar National Vision 2030.
Eman Al Kuwari, Director of the Digital Innovation Department, said the agreements expand AI use across government, advance data-driven capabilities, and enable operating models that raise service quality and digital readiness.
Why PR and communications teams should care
- Clear narrative: Government is moving from pilots to scaled AI deployments with measurable outcomes.
- Service impact: Faster processing, improved accuracy, and more responsive citizen services create new storylines and KPIs.
- Data and trust: Stronger data governance and model oversight will be central talking points for risk and reputation.
- Skills agenda: Training and capability building are baked in-position your organization as ready and responsible.
Partnerships at a glance
- MEEZA: Government IT integration with AI-enabled solutions, pairing local delivery with global tech.
- Accenture: Advisory and technical support for advanced AI use cases, automation, and decision support.
- Google Cloud: Modern cloud infrastructure, advanced analytics, and access to scalable data platforms.
- Microsoft: Generative AI adoption across entities, expansion of Copilot, and specialized training programs.
- Oracle: Strengthened government data management and AI-enabled solutions across core platforms.
- Scale AI: Model development support with high-quality training data and genAI deployment.
How the Government AI Program works
- Phase 1 - Development & Qualification: Identify and submit innovative project ideas through the program platform.
- Phase 2 - Feasibility & Approval: A specialized committee evaluates impact, alignment, and data readiness.
- Phase 3 - Deployment & Measurement: Launch projects and track outcomes against service and operational metrics.
Project selection prioritizes strategic relevance, expected impact, data availability, priority level, and alignment with entity objectives. Focus areas include AI-enabled digital services, data analytics, and operational automation.
Media angles and message pillars
- Citizen-first services: Faster, simpler interactions and reliable outcomes.
- Responsible AI: Governance, privacy, and oversight as standard practice.
- Capability building: National talent development through structured training.
- Interoperability: AI integrated across platforms, not isolated pilots.
- Public-private collaboration: Local delivery paired with global expertise.
Suggested talking points for spokespeople
- "We're moving from experiments to scaled solutions that improve everyday services."
- "Data quality and governance are core to how we build and deploy AI."
- "Training is a priority-teams will have the skills to use AI responsibly and effectively."
- "We measure success with service metrics citizens feel: speed, accuracy, and satisfaction."
Comms checklist for the next 90 days
- Map AI initiatives in your entity; identify quick wins with clear public outcomes.
- Build a cross-functional narrative with IT, legal, and operations (governance, privacy, impact).
- Draft a fact sheet per partnership: scope, benefits, timelines, and key contacts.
- Prepare case-study templates to capture results (baseline, improvement, testimonial, metric).
- Set measurement for comms: inquiry volume, sentiment, media quality, web conversions to services.
- Create a Q&A covering ethics, data use, model oversight, and redress mechanisms.
What leaders said (summary)
- Eman Al Kuwari (MCIT): Agreements expand AI use and enable operating models that lift service quality and readiness.
- Khalid Mohammed Al Kubaisi (MEEZA): Combining local integration strength with global innovation for AI solutions in government.
- Magdi Al Khater (Accenture): Support for AI use cases that improve decision-making, automation, and insights.
- Ghassan Kosta (Google Cloud): Modern cloud infrastructure and analytics to meet rising AI demands.
- Ahmad Al Dandashi (Microsoft): Scaling Copilot and genAI to improve efficiency and rework how entities operate.
- Rached Dabboussi (Oracle): Stronger data systems and AI-enabled solutions across government platforms.
- Julia de Boinville (Scale AI): High-quality training data and models built for government needs.
Where this heads next
Expect near-term deployments focused on analytics, workflow automation, and genAI assistants for staff. Public-facing improvements will follow as data foundations and governance mature.
For PR teams, the opportunity is to set expectations, show progress with credible metrics, and anchor every announcement in citizen benefit and responsible use.
Resources
Bottom line: these partnerships set a clear path for AI-enabled government services. PR and communications teams can lead by translating that into simple, citizen-focused messages and proof of impact.
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