GLEOn the roadmap

AI-fluency for the public-sector workforce.

Make an entire government workforce AI-fluent — compliantly and sovereignly.

ArthurAI™ — Government Learning Edition is a planned edition — on the ArthurAI™ roadmap, not yet generally available. Early-access partners help shape it.

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Who it's for

The agencies and academies that must upskill a public workforce — fast.

Government Learning Edition is built for federal and state agencies, civil-service academies, and national workforce and IT ministries now under pressure to make their people AI-fluent. The mandate is immediate — the U.S. Commerce Department’s AI Upskill Accelerator, OPM’s federal AI-training push, governors mandating state-employee AI training, and the OECD’s AI-ready-public-workforce agenda — while most agencies already rate their own training as the area most in need of improvement.

GLE is engineered for that mandate, and for the way the public sector actually buys: data sovereignty, end-to-end auditability, multi-language reach, and whole-of-workforce scale.

Why a government edition

Built for the constraints a government deployment cannot waive.

Generic AI training fails public-sector procurement on the things that matter most — where the data lives, who can see it, and whether the record holds up under oversight. GLE is engineered against each.
  • Sovereignty

    Sovereign by construction

    Data residency in the jurisdiction, five-layer tenant isolation, and the option to run inside the agency’s own Eve-Grid™ region. Civil-servant learning data never leaves the jurisdiction, and is never used to train the underlying models.

  • Oversight

    Auditable end to end

    Every interaction, completion, and competency attestation is written to an immutable audit trail — the artifact an inspector general, auditor, or oversight committee asks for. AI use is disclosed at every surface.

  • Currency

    AI-literacy that stays current

    Adaptive AI-fluency pathways — foundational literacy through role-specific application — authored in ArthurAI™ Studio and kept current as the tools change, so the workforce is trained on what AI does now, not last year.

  • Scale

    Whole-of-government, in every language

    Multi-language delivery, bulk cohort rostering, sub-admin delegation for departments, and per-agency branding — to skill an entire workforce across ministries and regions, not run another pilot.

What a government rollout will look like

From a mandate to an audited, AI-fluent workforce.

Public-sector buyers evaluate by walking the path from policy to proof. Here is that path in GLE, with the artifacts oversight will actually receive.
  1. Mandate

    A policy lands

    An agency adopts an AI-upskilling requirement — or inherits a national one. GLE is configured to that mandate’s competencies and reporting needs at onboarding.

  2. Baseline

    It meets each civil servant where they are

    A short profile establishes each learner’s starting point, so a 30-year analyst and a brand-new hire are not handed the same generic module.

  3. Skill

    Role-appropriate, adaptive, in-language

    Each civil servant follows an AI-fluency pathway fitted to their role and level, adapting as they progress, delivered in their language.

  4. Attest & report

    Completion that satisfies oversight

    Supervisors attest competency where it matters; completion maps to the mandate; and the agency gets auditable, workforce-wide reporting — by department, role, and competency.

Procurement FAQ

What public-sector buyers will ask.

Government Learning Edition is on the roadmap; these are the questions early-access agencies raise first. Each answer is written to stand alone for a procurement or oversight memo.

  • Where does our data live, and is it used to train AI?

    Learner data resides in the jurisdiction-appropriate Eve-Grid™ Azure region with five-layer tenant isolation, and can be deployed within an agency-controlled region. Customer data is never used to train the underlying models — the capability is built on Eve-Genesis™ synthetic data — so the public sector keeps full data sovereignty.

  • How does GLE satisfy an AI-upskilling mandate?

    GLE is configured to the mandate’s competencies at onboarding, delivers role-appropriate AI-fluency pathways, captures supervisor attestation where required, and produces auditable workforce-wide completion and competency reporting — the evidence an oversight body needs that the mandate was met, not just that hours were logged.

  • Is ArthurAI already used by governments?

    Yes. ArthurAI™ powers national-scale deployments aligned to government policy — including programs aligned to Pakistan’s National AI Policy, the Pakistan Engineering Council, and the Dawn Directive™. GLE productizes that proven public-sector traction into a dedicated edition.

  • When will GLE be available?

    It is on the ArthurAI™ roadmap and not yet generally available. Early-access agencies are brought in as we build it, and their requirements shape the edition.

The posture

The AI reasons; the public servant decides.

Help shape it

Want ArthurAI™ GLE for your agency?

Register early access and we'll bring you in as we build it — your requirements shape the edition.

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