Government & Public Sector

Turn AI policy into practical, accountable adoption.

Make progress on AI with a clear view of public value, service impact, ownership and the evidence needed to proceed.

Government & Public Sector

The decisions facing agencies

Which use cases improve services or agency operations? Who is accountable? What evidence is needed before wider use? How will staff adopt the change? How does the proposed capability fit existing systems, procurement and assurance processes?

Start where the agency needs help

AI Opportunity & Prioritisation identifies worthwhile use cases. Responsible AI Governance establishes workable intake and oversight. AI Readiness & Adoption addresses workforce and organisational foundations. AI Assurance supports a defined decision. AI Pilot-to-Production shapes the path into operational use.

The assurance decision lens
The assurance decision lens

Designed around your operating environment

Work with business, architecture, data, security, privacy, procurement and delivery owners. Reuse agency evidence and templates. Make requirements, dependencies, decision rights and knowledge transfer explicit from the start.

Australian Government policy and guidance

Support for applying the Policy for the responsible use of AI in government, the Australian Government AI impact assessment tool and relevant DTA technical guidance. Applicability is established with the agency. State and territory engagements use the relevant jurisdictional and organisational requirements.

Public value is more than efficiency

Public value, considered from seven perspectives
Public value, considered from seven perspectives

From policy to implementation

From policy to practical implementation
From policy to practical implementation

Practical evidence for the next decision

Potential outputs include a public-value statement, use-case register, requirements catalogue, readiness findings, architecture views, risk and control map, decision brief and adoption roadmap. The engagement specifies which artefacts are needed and who owns them.

Agentic AI, with clear boundaries

Where an AI agent may act, define its responsibilities, permissions, tool access, verification, escalation and operational oversight. Review relevant DTA agentic guidance with the technical and accountable owners.

A focused scope, or a connected programme

Begin with a workshop, assessment or review. The APS AI Delivery Accelerator brings the six-stage Novatecno method together around a defined agency priority. Explore the APS application.

An Australian practice with relevant experience

Novatecno is a Brisbane-based Australian small business. Founder Edge Pereira brings experience across Australian Government, Queensland Government, enterprise and for-purpose environments, with a focus on practical architecture and executive decisions.

A practical governance pathway

Governance that follows the use case
Governance that follows the use case

Move from evidence to operational capability

From pilot evidence to operational capability
From pilot evidence to operational capability

Accountable agentic AI

Set the boundary before an agent acts
Set the boundary before an agent acts
Explore specialist advisory →

Policy and guidance in context

The engagement establishes which requirements apply. Commonwealth policy is considered alongside agency obligations; state, territory and local government work uses relevant jurisdictional requirements.

Bring connected priorities together

Explore the APS AI Delivery Accelerator →

Your next decision

A useful conversation starts
with your challenge.

You do not need a finished brief.

Discuss an agency priority