Public sector AI agents, Arabic-capable.
A pre-built Agentforce accelerator for citizen services and benefits assessment — Vision 2030 ready in KSA, G-Cloud 15 aligned in the UK.
◹ Available from Q1 2027Available from Q1 2027. Lumsi’s KSA in-region delivery entity is in development. Engagements before then run from the UK with on-the-ground KSA support. Talk to us about timing.
Pressure to deploy citizen-facing AI — under two very different sets of constraints.
Public sector buyers in both KSA and the UK are under pressure to deploy AI for citizen-facing services — but the constraints are different and equally demanding. KSA requires in-Kingdom delivery, Saudization compliance, Arabic-language capability, and NLA / data-residency alignment. UK central and local government demand G-Cloud 15 framework presence, SC-cleared architects where relevant, and demonstrable AI governance.
Big 4 firms are slow and expensive. Local KSA partners are weak on senior architecture. UK boutiques rarely have the regulatory posture to win central government work. The Public Sector Accelerator is built to occupy the gap.
- A production Agentforce workflow for the agreed use case
- Arabic-language capability where the deployment is in the Gulf
- Sovereign compliance posture (NLA in KSA, G-Cloud 15 alignment in the UK)
- Pre-built reference architecture tuned to public sector workflow patterns
- Evaluation framework appropriate for high-scrutiny decisioning
- Optional Managed Agentforce tail with in-region delivery for KSA
From £200k, fixed price (equivalent in SAR per local commercial entity in KSA). 6-12 months. Principal-led with public-sector-experienced architects; Arabic-fluent engineers via Cairo nearshore for Gulf engagements; Saudi-national team members per Saudization requirements once the in-Kingdom entity is live.
- KSA ministries, GREs, and PIF-aligned entities under Vision 2030 mandates
- UK central government departments and arms-length bodies
- UK local authorities at scale
- Other Gulf government entities (UAE, Qatar, Bahrain) on a case-by-case basis