Discover
Frame the opportunity
Clarify the service problem, intended users, affected stakeholders, information and decisions. Agree what success would look like.
Potential output
Opportunity brief
APS AI Delivery Accelerator
From AI opportunity to assured government delivery.
A structured, vendor-neutral advisory service to help agencies make sound AI decisions and establish a practical pathway from assessment to pilot or scale.
Public value at the centreHuman accountability throughoutArchitecture connected to adoption
01 / The outcome
A decision your agency can stand behind.
The Accelerator brings the right questions together before an AI initiative gathers momentum: who it serves, what value it may create, what risks it introduces and what it takes to operate responsibly.
We work with sponsors, program and procurement leaders, architects, and governance, risk, privacy, security, data and workforce stakeholders. The scope reflects the use case, agency maturity and existing work.
“Assured delivery” describes an approach grounded in evidence, controls and accountable decisions. Approval, implementation and ongoing oversight remain with the agency and its authorised decision-makers.
02 / The method
Six stages.
One coherent pathway.
Risk and accountability are considered from discovery. Stages can be revisited as evidence, architecture and agency priorities develop.
Assess
Understand value and readiness
Assess strategic alignment, expected benefits, data readiness, inherent risks and human-accountability requirements.
Potential output
Value, readiness and risk assessment
Prioritise
Choose a defensible next step
Compare value, feasibility, risk and dependencies. Decide which opportunities to progress, reshape or defer.
Potential output
Prioritised use-case portfolio
Architect
Design the enabling foundations
Define conceptual AI, data and integration architecture, including access boundaries and appropriate RAG, Copilot or agentic patterns.
Potential output
Conceptual or reference architecture
Assure
Make accountability explicit
Identify privacy, security, explainability and assurance controls. Establish decision rights, evidence needs and review gates.
Potential output
Governance and assurance recommendations
Mobilise
Create a practical delivery pathway
Set out pilot or scale activities, owners, dependencies, adoption needs and workforce capability priorities.
Potential output
Roadmap and executive decision pack
03 / What you take away
Evidence for decisions.
A plan for action.
Deliverables are agreed during scoping. Existing agency artefacts can be reviewed and strengthened rather than duplicated.
- 01AI opportunity and use-case portfolio
- 02Value and readiness assessment
- 03Risk and assurance considerations
- 04Conceptual or reference architecture
- 05Governance and operating-model recommendations
- 06Capability and adoption plan
- 07Prioritised roadmap
- 08Executive decision pack
04 / Proposed Showcase demonstration
From AI Idea to Assured Delivery
Novatecno can provide an interactive, facilitated walkthrough for the AI Government Showcase 2026. Participants would explore how changing the users, data or level of autonomy changes the decisions and controls.
The proposed demonstration uses fictional government scenarios, a use-case canvas and an illustrative decision pack. It demonstrates the advisory method. Participation in the Showcase is subject to selection; this is not a claim that a software product has already been developed.
Explore an illustrative scenario
Fictional examples for discussion. These are not agency projects or completed assessments.
Policy knowledge assistant
A fictional agency wants staff to find and understand approved internal guidance more easily.
Opportunity & value
Reduce time spent locating guidance. Establish a baseline and test whether staff find correct, current material more reliably.
Readiness & architecture
Assess document ownership, currency and permissions. Consider retrieval-augmented generation (RAG) over an approved, access-controlled collection.
Accountability & assurance
Require source references, uncertainty handling and escalation. Test incorrect retrieval, misleading answers and attempts to expose restricted information.
Adoption & evidence
Train staff to verify answers. Agree content stewardship, evaluation examples, incident handling and success criteria before a pilot.
Illustrative decision to take forward
Consider a bounded staff-only pilot after content access, evaluation and ownership are established. No automated policy decisions.
Correspondence support
A fictional agency is exploring AI-assisted drafting for routine public enquiries.
Opportunity & value
Assess drafting effort and response quality. Identify people affected by inaccurate, inaccessible or inappropriate correspondence.
Readiness & architecture
Map personal information and approved response sources. Define retention, access and integration boundaries.
Accountability & assurance
An authorised officer reviews and sends every response. Examine privacy, bias, tone, unsupported claims and escalation for sensitive matters.
Adoption & evidence
Build role-based guidance and representative evaluation cases. Define review workload and monitor corrections as well as time saved.
Illustrative decision to take forward
Start with synthetic enquiries and a controlled drafting trial. Keep sending and sensitive decisions with authorised staff.
Internal workflow agent
A fictional agency is considering an agent that prepares and routes internal service requests.
Opportunity & value
Understand bottlenecks and whether simpler automation could meet the need. Bound the tasks and systems in scope.
Readiness & architecture
Map tools, APIs, identity and data flows. Design least-privilege access, allowed actions and clear execution limits.
Accountability & assurance
Define approval points, audit records, rollback and a stop mechanism. Test tool misuse, prompt injection, unexpected actions and escalation.
Adoption & evidence
Assign operational ownership. Prepare runbooks, incident response, user training and evidence for each proposed increase in autonomy.
Illustrative decision to take forward
Evaluate in a sandbox with synthetic requests. Progress only when agency decision-makers accept the evidence and operating controls.
05 / Government guidance
Alignment starts with context.
Services are designed to consider applicable Australian Government guidance. The relevant obligations, evidence and review steps are established for each engagement.
APS AI Plan
Consider trust, people and tools together when shaping the agency’s AI adoption pathway.
Read the APS AI PlanAI Technical Standard
Use lifecycle, architecture, operating-model and evidence considerations to inform the assessment and roadmap.
Read the technical standardAgentic AI Addendum
Consider the additional architecture and oversight questions raised by AI systems that can take actions.
Read the addendumNovatecno is an independent advisory provider. References to Australian Government policies and standards indicate alignment considerations and do not imply government endorsement or accreditation.
Make the next AI decision a clear one.
Start with the challenge, the people affected and the decision you need to make.