Industry briefing
Government & Public Sector
Public entities are asked to deliver faster, more personal services while every decision stays accountable. AI can take on the document-heavy, rules-based work in between, with an official deciding and an audit trail behind every step.
01The operating problem
Why change is hard here
Most public services still run on case files, correspondence and approvals that pass between departments and systems that were never designed to share data. At the same time, expectations have moved to digital channels: citizens and residents want clear answers in Arabic and English, at any hour, and a visible status for their request.
The constraint is rarely ambition. It is accountability. Any automation has to be explainable, reviewable and aligned with data-protection and records obligations. The work is to redesign processes so that AI prepares, checks and routes, and officials decide.
Current challenges
Case work locked in documents
Applications, supporting documents and correspondence arrive as scans and PDFs, so staff re-key the same information into several systems.
Fragmented systems across entities
Each department holds part of the picture, which makes end-to-end service status and cross-entity reporting slow to assemble.
Accountability for every decision
Automated steps must be explainable, reviewable and recorded, and personal data must be handled within national data-protection rules.
Bilingual service at volume
Enquiries arrive in Arabic and English across portals, call centres and messaging, and demand peaks around deadlines and announcements.
02AI opportunities
Where AI can credibly help
Starting points to test in an assessment. Each one is scoped against your data, systems and appetite for risk before anything is built.
- 01
Document intelligence for case intake
Classify incoming documents, extract the fields a case needs and flag missing items before an application reaches a reviewer.
- 02
Grounded service assistants in Arabic and English
Assistants that answer from approved regulations, procedures and service catalogues, cite their source and hand over to staff when a case needs judgement.
- 03
Drafting support for officials
First drafts of letters, summaries and briefing notes from the case record, always reviewed and signed off by the responsible official.
- 04
Service performance visibility
A shared view of volumes, backlogs and processing times across channels, so leaders can see where services stall and why.
03Solution architecture
ExampleCase-handling assistant for a public service
Documents and enquiries are read, checked and routed by AI; officials review, decide and sign. Every step is logged against the case.
Where people work
Apps · workflows · dashboards
- Applicant portal and messagingArabic · English
- Reviewer workbenchReview · approve · sign
- Service performance dashboard
Intelligence
Models · agents · rules
- Document classification and extractionOCR · Arabic NLP
- Grounded assistantRAG · cited answers
- Routing and completeness rulesDecision engine
Data foundation
Pipelines · storage · knowledge
- Case and document store
- Knowledge base of approved sourcesRegulations · procedures
- Integration layerAPIs · events
Source systems
Systems of record · signals
- Service portals and forms
- Correspondence and scanned archives
- Case-management and ERP systems
Governance and control
Across every layer
- Human approval on every decision
- Audit log per case
- Evaluation and monitoring of answers
- Role-based access and in-country hosting
04Expected outcomes
What changes when it works
Types of outcome, not promised figures. Targets are agreed with you during the assessment and measured against your own baseline.
Shorter, more predictable processing
Less time spent re-keying and chasing documents, and a clearer status for applicants.
Consistent answers across channels
The same approved answer whether a question arrives through the portal, the call centre or messaging.
Decisions that can be explained and audited
Every automated step recorded, with its source and the responsible reviewer visible.
Specialist time for complex cases
Routine preparation handled upstream, so experienced staff focus on the cases that need judgement.
05How we engage
Practices and ways to start
The practices that usually lead in this sector, what each one contributes, and the engagements that make a sensible first step.
Advisory & Assessment
- Role in this sector
Service-by-service opportunity assessment, governance principles and a roadmap that fits procurement and approval cycles.
- Ways to start
- Executive AI ConsultationBook a session
- AI Readiness AssessmentRequest a proposal
Intelligent Systems & Automation
- Role in this sector
Document intelligence, grounded assistants and routing logic built into existing case workflows.
- Ways to start
- AI Pilot SprintRequest a proposal
- Enterprise AI SystemRequest a proposal
Digital Platforms & Products
- Role in this sector
Integration between the systems of different entities, and the dashboards that make service performance visible.
- Ways to start
- Digital Platform / Product BuildRequest a proposal
Training & Capability Building
- Role in this sector
Practical AI literacy for leaders and case officers, so new tools are used with confidence and within policy.
- Ways to start
- Enterprise AI TrainingRequest a proposal
06Technical depth
Relevant capabilities
The engineering behind the opportunities above: methods, architectures and the technologies we work with.
Generative AI
Custom AI assistants, document intelligence, content generation and enterprise copilots, grounded in your own data.
Enterprise AI Agents
AI agents that plan and complete multi-step tasks across your systems: gathering information, preparing work and taking actions through approved tools.
Knowledge & RAG Systems
Enterprise knowledge systems that answer questions from your own policies, procedures and documents, with citations to the source.
Document Intelligence
Arabic and English documents — forms, invoices, contracts, certificates and correspondence — turned into validated, structured data.
Intelligent Automation
RPA, workflow automation, decision engines and intelligent document processing for operational efficiency.
Data Engineering
Pipelines, warehouses, lakehouses, big-data processing and AI-ready data preparation.
Government & Public Sector
Explore where AI fits in your operations
A first consultation covers your priorities, systems and constraints, and ends with a clear view of where to start, or whether to start at all.