Industry solutions · Government & Public Sector

    Public-service AI that answers from approved policy and leaves decisions with your staff

    We design, integrate and operate AI agents and workflows that handle multilingual citizen and business enquiries, check application completeness, route cases to the right team and give staff fast access to internal guidance. Eligibility, approvals and every official decision remain with authorised officers.

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    Abstract illustration: a golden civic dome connected to secure digital service nodes

    Operational challenges we design for

    • High enquiry volume across channels

      The same questions about requirements, fees and status arrive by phone, email, web chat and WhatsApp, in Arabic, English and other languages, and absorb front-line capacity.

    • Incomplete applications

      Submissions missing a document or signature are discovered late, causing rework, repeat visits and longer processing times.

    • Policy knowledge spread across documents

      Circulars, procedures and FAQs change over time; staff spend time locating the current, approved answer.

    • Limited visibility of backlog and SLAs

      Managers often assemble queue ageing and SLA status manually from several systems, which delays intervention.

    Where AI agents and workflows fit

    Four example solution patterns. Each is configured around your systems, rules and approval points.

    01

    Multilingual service enquiries grounded in approved policy

    1. Inputs

      Questions from web chat, WhatsApp, email or contact-centre transcripts.

    2. AI & workflow actions

      Retrieves answers only from the approved policy and service catalogue, cites the source, and asks clarifying questions where requirements differ by case type.

    3. Human escalation

      Anything outside approved content, complaints or requests for a decision go to a named service team with the conversation attached.

    4. Systems updated

      Enquiry logged in the CRM or case system with topic, language and outcome.

    02

    Document completeness and case routing

    1. Inputs

      Application forms and uploaded supporting documents.

    2. AI & workflow actions

      Checks presence, type and legibility of required documents against the service checklist, extracts reference fields and flags gaps to the applicant.

    3. Human escalation

      Ambiguous or low-confidence documents are reviewed by a case officer; the system never judges eligibility.

    4. Systems updated

      Case created or updated with a completeness status and routed to the responsible queue.

    03

    Internal knowledge retrieval for staff

    1. Inputs

      Staff questions from an internal assistant or the case screen.

    2. AI & workflow actions

      Searches approved procedures and circulars with access controls, returns the relevant clause and its version and date.

    3. Human escalation

      Conflicting or outdated sources are flagged to the content owner for review.

    4. Systems updated

      Search and feedback logs feed a content-gap report for policy owners.

    04

    Service backlog and SLA reporting

    1. Inputs

      Case and ticket events from operational systems.

    2. AI & workflow actions

      Calculates queue age, SLA risk and volume trends, and sends scheduled summaries and early-warning alerts.

    3. Human escalation

      Cases approaching SLA breach are escalated to the team lead for reprioritisation.

    4. Systems updated

      Dashboard or BI dataset refreshed; alerts recorded against the case.

    Illustrative example

    End-to-end workflow

    Illustrative flow: a permit-renewal enquiry

    1. A resident asks in Arabic on WhatsApp what is needed to renew a permit.

    2. The agent answers from the approved service page, lists the required documents and links the official form.

    3. The resident uploads documents; the workflow checks the checklist and reports one missing item.

    4. Once complete, a case is created in the case-management system and routed to the renewals queue.

    5. A case officer reviews and makes the decision; the agent only relays status updates the system publishes.

    6. Queue age and SLA status appear in the weekly operations report.

    This scenario is illustrative, not a client case. Actual configuration depends on project scope, data access and your policies.

    Systems and integrations to assess

    • Case-management and CRM platforms
    • Government service portals and form builders
    • Document management systems
    • Identity or single sign-on services (where permitted)
    • Contact-centre and WhatsApp Business channels
    • Data warehouse or BI tools

    Examples only. Every integration is subject to API availability, access approval and security review during discovery; we do not assume prebuilt connectors.

    How we deliver

    1. 01

      Discovery

      Map priority services, enquiry types, languages and the approved content owners.

    2. 02

      Design

      Define answer boundaries, document checklists, routing rules and escalation owners.

    3. 03

      Pilot

      Pilot one or two services in a controlled channel with staff reviewing outputs.

    4. 04

      Integration

      Connect to case and document systems through approved APIs and access roles.

    5. 05

      Operation

      Operate with monitoring of answer quality, escalations and content freshness.

    6. 06

      Optimisation

      Extend to further services and refine content where gaps or confusion appear.

    Governance and human approvals

    • Staff own eligibility, approvals, enforcement and all official decisions.
    • Answers are limited to approved, versioned content with sources shown.
    • Role-based access, audit logs and data retention aligned with your policies.
    • Data residency and hosting options assessed during discovery.
    • Content changes go through the owning department before publication.

    Pilot KPIs we agree with you

    • Share of enquiries resolved from approved content without hand-off
    • Completeness rate of applications at first submission
    • Time to first response by channel and language
    • Cases routed to the correct queue first time
    • Cases at risk of SLA breach identified in advance

    We baseline these before the pilot and report measured change. We do not promise results in advance.

    Frequently asked questions

    Related industries

    Discuss your operating environment

    Book a free consultation to review your processes, systems and constraints, and to define a scoped pilot.

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