// AGENTLAYER · PUBLIC SECTOR
Public service, agent-native.
AgentGov designs and orchestrates AI agent systems for government work — auditable, sovereign, and built for Malaysian public service. Permits and licensing. Citizen services. Inter-agency operations. Multilingual public-information delivery.
// A SUB-PLATFORM OF AGENTLAYER · gov.agentlayer.one
// THE PUBLIC-SECTOR SHIFT
“Government services were built around forms, queues, and counters. Citizens now expect them to feel like conversation, in their language, on their schedule.”
Public-sector workflows — permits, licensing, inter-agency coordination, citizen enquiry routing, internal knowledge access — were designed for a human at the counter and a clerk on the other side. Agents redesign that surface for execution.
Malaysia's AI 2030 vision and the 2026 Government Innovation Initiative (GII) are explicit invitations: agencies want trustworthy, locally built agentic systems — not imported abstractions.
The non-negotiables in this sector are not features. They are trust, auditability, sovereignty, and local context. AgentGov is built around those constraints, not around novelty.
// THE WORK IS AGENT-SHAPED
// WHERE AGENTGOV STARTS
Permits & Licensing
Workflow agents for application intake, eligibility checks, and inter-department routing.
permits.gov.agentlayer.one
Citizen Services
Multilingual front-line agents for public enquiry, with human-in-the-loop on consequential decisions.
services.gov.agentlayer.one
Inter-Agency Operations
Cross-ministry workflow orchestration, evidence handling, and case routing.
interagency.gov.agentlayer.one
Internal Knowledge Access
Agents over internal policy, SOP, and circular archives — secured, sovereign, queryable.
knowledge.gov.agentlayer.one
Multilingual Public Delivery
Bahasa Malaysia, English, Tamil, Mandarin. Public-information agents speaking the way citizens speak.
multilingual.gov.agentlayer.one
Procurement & RFP Response
AgentGov as an MDEC-routed RFP responder — agency-side workflow piloting begins here.
rfp.gov.agentlayer.one
// THE NON-NEGOTIABLES
“What public-sector agents owe the public.”
Every agent action is logged, attributable, and reviewable. No black boxes in public service.
Consequential decisions stay with accountable officers. Agents propose; humans approve.
Data residency, deployment topology, and model choice configurable for Malaysian sovereignty requirements.
Bahasa Malaysia, English, Tamil, Mandarin. Trained on Malaysian institutional context, not generic data.
42%
of Southeast Asian organisations have already deployed agentic AI
79%
of ASEAN organisations actively developing new agentic use cases
2030
Malaysia's AI Nation horizon — the policy window for agent-native public service
2026
Government Innovation Initiative cycle — RFPs in flight
// THE POLICY WINDOW IS OPEN
// THE CORE BENEATH AGENTGOV
AgentGov is one vertical of AgentLayer — the platform company behind agent-native systems for industries that legacy software was never built for. Agents in government share the same orchestration, identity, compliance, and observability core as agents in finance, healthcare, and the law.
// MALAYSIA-BUILT · AGENCY-READY
AgentGov is built in Malaysia by a Malaysia-incorporated company (AgentLayer Sdn Bhd), aligned with the Malaysia Digital (MDEC) program, the Malaysia Digital Tax Incentive framework, and the AI 2030 national vision. Locally built means locally accountable — same legal jurisdiction, same auditors, same regulators.
// HOW WE WORK WITH AGENCIES
“AgentGov is research-stage. Here is how we engage today.”
// PRODUCT, NOT BODY-SHOP — every engagement produces reusable artefacts.
Bring agents into public service.
Pilots, design partnerships, RFP responses, and agency advisory are open now.