Capability statement · Australian Government
AI capabilityyou own.
Availe supplies the AI talent, strategy and governance expertise to work with your people and processes to build, operate and transfer sovereign AI capability, on the platform of your choice.
A letter from our CEO
Government should own its AI capability, not rent it.
Every agency we work with is under the same pressure: adopt AI quickly enough to matter, while keeping data sovereign, decisions accountable and staff confident. Too often the answer offered is a product to license, a black box that sits outside the agency’s own systems, governance and skills. We think there is a better way.
Availe supplies the AI talent, strategy and governance expertise to work with your people and processes to build, operate and transfer AI capability. We design and build natively on the platform you already own (AWS, Microsoft Azure, Google Cloud or whole-of-government services such as GovAI) inside your own tenancy and authorisation processes. We operate what we build until your team is ready, then we transfer it, with the skills, runbooks and evidence to sustain it.
AI is a transformational capability that can streamline, uplift and scale operations across the enterprise. The agencies that benefit most are those that understand and control it. That is why our work is organised around three pillars, each with a dedicated lead: Trust (strategy, governance and assurance, which I lead with former APS SES leaders in ICT, cyber security, data and AI ethics), People (capability, change and adoption) and Platforms (agentic AI architecture and engineering).
Our leads have taken a secure agentic AI platform from proof of concept through Authority to Operate to approved transition into service inside a Commonwealth agency. They have built multi-agent systems that cut software-lifecycle effort by up to 75%, production retrieval systems grounded in tens of thousands of documents, and document-intelligence pipelines with full audit trails, all inside government tenancies and all under human-in-the-loop control.
We are a Canberra-based Australian SME. Our people are security cleared, Australian-based and work onshore. We have no product to protect and no platform to push; our only interest is that you end up with capability you can call your own.
And when the transfer is done, we remain committed to the journey, on call for advisory and deep technical support whenever you need it.
Co-Founder and Chief Executive Officer, Serata Pty Limited (Availe)
In brief
What Availe brings to government.
- 100%of what we build runs in your own cloud accounts, under your identity, security and audit controls. No vendor control plane.
- 3pillarsTrust, People and Platforms, each with a dedicated lead and a team that works natively in government environments.
- 4platformsAWS, Microsoft Azure, Google Cloud and GovAI, plus Anthropic Claude through your chosen gateway.
- OnshoreCanberra-based, Australian-owned, security-cleared people from Baseline to NV2. No offshore delivery or access.
Our proposition
Five points.
Build, Operate, Transfer.
We build with your people, operate while your team is readied, then transfer, with measured readiness criteria, not hope. We stay on call afterwards.
Sovereign by construction.
Interfaces, orchestration, retrieval, workflows, guardrails, telemetry and audit all run inside your tenancy in an Australian region.
Platform-neutral.
We work natively on the platform you choose. Models and providers are substituted by configuration, not redevelopment.
Assured, not asserted.
Governance, human-in-the-loop controls and an evaluation harness you can run yourself, aligned to the ISM, the DTA AI policy and your authority-to-operate process.
People first.
Role-based AI skills, an operating model and runbooks, and a knowledge-transfer plan measured by your ability to operate without us.
What we deliver
Seven services. One way of working.
AI strategy and roadmap
Use-case discovery and prioritisation, investment options, benefits framework and a staged roadmap tied to outcomes.
AI governance and assurance
AI operating model, decision rights, AI register, responsible-AI assurance, ISM control mapping and ATO support.
Agentic AI platforms
Secure, governed AI front doors, agentic workflows, retrieval over your knowledge, governed connectors and audit, in your tenancy.
AI-enabled software delivery
Multi-agent SDLC patterns from policy to requirements, code, tests and documentation, with human gates.
Business analysis and process
Current and future-state process models, requirements and integration specifications that connect business need to build.
Capability and change
AI skills matrices, role-based training, adoption programs and knowledge transfer to your teams.
Managed service and advisory
Operation to agreed service levels, then an on-call advisory and deep-technical retainer after transfer.
Who we work with. Commonwealth, State and Territory government agencies and regulated enterprises that want AI capability they understand and control, from a first proof of value to an enterprise platform in service.
Our approach
Build, Operate, Transfer. Three pillars with dedicated leads. A business connection team that links your needs to every pathway. And a maturity model that keeps people in control.
Our approach
Build. Operate. Transfer.
Availe supplies the AI talent, strategy and governance expertise to work with your people and processes to build, operate and transfer AI capability on the platform of your choice. The result is a transformational capability to streamline, uplift and scale operations across the enterprise, and Availe remains committed to the journey and on call to help.
A typical enterprise engagement
Month1
Build
Months 1–6
A small AI-native team of engineers, strategists and governance specialists works with your people and processes, with your staff embedded from week one, to design and build the capability inside your cloud account and through your authorisation processes. A first operational release typically lands within six months.
Operate
From month 7
Availe operates what we built as a managed service from Canberra, inside your tenancy, to agreed service levels, while further releases are delivered. You retain the accounts, data, identity and security controls. Your staff rotate through every operational role.
Transfer
Months 10–12
Your team takes over against measured readiness criteria (runbooks executed unaided, evaluation suites run independently, incident and change owned) with Availe alongside, then observing. Afterwards we remain on call for architecture, assurance and surge engineering.
A typical enterprise engagement runs about twelve months. Smaller engagements compress each phase; any phase can be extended at the client’s choice.
Three pillars
Each with a dedicated lead.
- Pillar one
Trust
AI strategy, transparency, ethics and governance. With former APS SES leaders in ICT strategy, cyber security, data and AI ethics: AI operating models, assurance methodology, ISM alignment, IRAP pathway and authority-to-operate support.
- Pillar two
People
Capability building, change and adoption. An AI skills matrix grounded in the DTA AI Technical Standard and SFIA, role-based training, executive engagement, benefits evidence and a knowledge-transfer plan with measurable exit criteria.
- Pillar three
Platforms
Infrastructure you own and control. Agentic AI architecture and full-stack engineering on AWS, Azure, Google Cloud or GovAI, delivered in your accounts with portable routing, prompt, guardrail and evaluation assets.
Why this model suits government.
It builds independence.
You get the supplier-operated service you need while your own team is built alongside, then the dependency on any supplier is removed.
It is the strongest answer to portability.
You own the code, configuration, prompts, evaluation assets and audit record from day one. There is no proprietary layer to substitute.
It keeps pace with a moving field.
A capability you own and understand can adopt new models, native controls and patterns on your schedule, not a vendor’s release cycle.
It is how we already work.
Every Availe engagement is delivered natively in the client’s environment: no AI orphans, point solutions or black boxes.
How we deliver
Governed from discovery to transfer.
Take a closer look
Method
An agile service-design method with three governed phases (discovery and co-design, secure development, deploy and run) applied inside your tenancy and authorisation processes.
Work is organised in two-week increments against a prioritised backlog traced to every requirement. Human gates sit where mistakes are expensive: architecture and design acceptance, production readiness, operational acceptance and transfer.
AI-native delivery teams
Small full-stack teams in which each person owns an outcome rather than a step: delivery lead, solution architect, full-stack, AI/data and platform engineers, and quality and assurance, with an always-on agentic layer for generation, review and testing.
Your counterparts pair with each role from week one; this is the primary knowledge-transfer mechanism.
Governance
A joint project control group with your portfolio, security, architecture and business representatives, meeting fortnightly during build and monthly thereafter.
Weekly reporting covers progress, risks, decisions, dependencies and benefits evidence.
Business connection team
Led by our enterprise business analysis lead and process lead, this two-person team connects your business needs to each pathway.
Trust: process controls, decision rights and human gates modelled in BPMN; requirements traceable to ISM and ATO evidence.
People: current and future-state process maps and role-impact analysis feeding training, change and transfer readiness.
Platforms: business needs turned into prioritised use cases, user stories and integration specifications for the build team.
How capability matures
Accelerated. Automated. Autonomous.
AI-accelerated
AI generates the artefact or answer; a person reviews, adjusts and approves at every stage gate. The default for knowledge and drafting work.
AI-automated
Approved workflows carry work through several steps; people review at defined decision boundaries, with evaluation evidence and audit for each step.
AI-autonomous (bounded)
Agents complete a whole task within an allow-list and budget; a person approves the outcome. Only for tasks the agency explicitly authorises.
Human-led, human-in-the-loop principles apply at every stage: human oversight of decisions, transparency and explainability, clear accountability, continuous monitoring with the ability to intervene, and alignment with legal and ethical obligations.
Assurance built in
Assured, not asserted.
Traceability
Every requirement linked to backlog items, automated tests, AI evaluation cases and evidence.
Evaluation harness
Golden prompts for accuracy, grounding, refusal, injection resistance and safety, run in CI, on schedule and on every model change.
Guardrails at two layers
At the application and at the model-serving layer, using native platform controls where fit for purpose.
Immutable audit
Per-participant, tamper-evident records streamed to your SIEM or immutable storage.
Security pathway
ISM control mapping from design, PROTECTED-aligned controls where needed, and support through your IRAP and ATO processes.
Bounded by design. AI never makes, approves or executes operational decisions unless the agency has explicitly authorised and governed that use.
Skills, change and knowledge transfer
Transfer, designed in from week one.
Transfer is designed in from week one and measured, not assumed. Our People pillar applies an Agentic AI Skills Matrix method, first developed with a Commonwealth department adopting an agentic platform into its software lifecycle, that defines what each role needs to know to own, govern, manage, use and operate AI.
How the skills matrix is built.
- Step 1
Role and capability mapping
Identify the roles that will own, govern, manage, use and sustain AI; define competencies for working with agentic systems under human-in-the-loop principles.
- Step 2
Proficiency framework
Personas per role with SFIA skill codes and levels, APS-equivalent level, behavioural traits and job-specific AI proficiency, grounded in the DTA AI Technical Standard and the SFIA AI skills framework.
- Step 3
Assessment and gap analysis
Baseline survey and stakeholder engagement; gaps identified per role; training and development pathways recommended.
- Step 4
Digital matrix and sustainment
A living digital matrix with a named owner and update process, so it outlasts the engagement.
Personas and programs
Executive owner
Strategic oversight and alignment with agency goals; executive briefings and coaching; performance, cost and quality reporting.
Governance
Compliance, risk and assurance; approval workflows and audit fit for purpose; board and executive workshops on governing AI.
Managers
Team enablement and approvals; replicating current tasks with AI; capability building within teams.
Users
Role-specific prompt skills, workflow authoring, knowledge curation and sharing controls; a community of practice for power users.
Platform operations
Paired through build and every operate rotation; console, catalogue, guardrail, evaluation, audit and export procedures; incident runbooks.
Evidence-based benefits.
Each use case is linked to its problem, expected benefit and measurement approach: manual effort, AI-assisted effort, quality, human review, replicability and scalability. Verified task-level examples from our work:
Change-impact analysis
Standard operating procedure
Transfer readiness.
Measured, not assumed. Your team is ready when it can:
- Your staff execute all runbooks unaided
- Run the evaluation harness and interpret results
- Complete a model-catalogue change end to end
- Perform a full export and restore
- Own change and incident processes, with Availe observing only
Engagement that builds demand.
Structured executive deep-dive programs (workshops and surveys across business areas that surface priorities, pain points and candidate use cases), then play back to branch heads to inform user nominations and the roadmap. Our People lead ran a 14-session program of this kind in 2026.
AI experience and partnerships
Platform-neutral by design, native on the platform you choose, and proven inside government tenancies, from proof of concept to service.
Platforms and partnerships
Same pattern. Your platform.
Our AI practice supplies talent that works natively in the client’s preferred environment. We provide specialised support for Amazon, Microsoft and Google AI platforms and for whole-of-government services such as GovAI, with training and sandpit environments on each platform to support architectural decisions and proof-of-value work.
- Model gateway and catalogue
- Amazon BedrockAzure AI Foundry model catalogueVertex AI Model Garden
- Serving-layer guardrails
- Bedrock GuardrailsAzure AI Content SafetyVertex AI safety filters
- Agent runtime
- AgentCore or open framework on containersFoundry Agent Service or open frameworkVertex AI Agent Builder or open framework
- Retrieval and vector indexes
- Managed search or vector service in-accountAzure AI SearchVertex AI Search or vector store
- Immutable audit store
- Object storage with object lockImmutable blob storageBucket lock retention
- Observability
- Native monitoring plus open telemetryAzure Monitor plus open telemetryCloud Monitoring plus open telemetry
- Identity
- Your identity provider (SAML 2.0 or OIDC), honouring conditional access and MFAYour identity provider (SAML 2.0 or OIDC), honouring conditional access and MFAYour identity provider (SAML 2.0 or OIDC), honouring conditional access and MFA
Named services are illustrative of the native option on each platform. Routing policy, prompts, workflows, guardrail policies and evaluation assets are client-owned code and configuration that sit above them and move between them.
What we deliver is not a standalone product but a sustainable capability embedded in your own technology landscape. The design, delivery method and assurance approach stay the same on every platform; only component selection changes.
Claude Partner Network. Availe is a registered member of Anthropic’s Claude Partner Network, with access to Anthropic Academy training and certification. Claude models are available through Amazon Bedrock, Microsoft Foundry and Google Vertex AI inside your own account, so our hands-on Claude experience applies on whichever platform you choose.
What we build.
Governed AI front doors
One secure place for staff to use AI, with model catalogues, policy routing, cost attribution and audit.
Agentic workflows
Multi-agent orchestration with tool allow-lists, budgets, memory and human gates.
Retrieval over your knowledge
Permission-aware RAG with citations, bulk and incremental ingestion.
Governed connectors
Microsoft 365, SharePoint, enterprise service management, ERP and line-of-business systems.
Document intelligence
Extraction, classification and redaction with confidence scoring and review workbenches.
AI-enabled software delivery
From policy to requirements, code, tests and documentation.
Experience
Proven inside government tenancies.
- 75%acceleration in selected software-lifecycle tasks with a multi-agent pipeline and human gates.
- ~70%shorter development cycles from a multi-agent framework on Amazon Bedrock.
- ~80%less proposal effort from a production retrieval platform, with better consistency.
- $1m+annual run-cost saving from serverless AI batch-processing architectures.
- People
Secure agentic AI platform on AWS, proof of concept to service
Commonwealth agency · 2025–26ScopeDelivery lead for an agentic AI proof of concept and the secure AI platform that followed; a nine-FTE multidisciplinary team; integrated dependency tracking and executive reporting; a 14-session executive deep-dive program; an evidence-based benefits method.
OutcomesProgressed through pilot and Authority to Operate to approved transition into service (September 2026); verified task savings (15 to 5 minutes; 5 hours to 35 minutes).
- Trust
AI operating model and governance for an enterprise AI platform
Commonwealth agency · 2025–26ScopeService portfolio, RASCI and decision rights, AI register and responsible-AI assurance; ITIL 4 and SIAM interfaces, support tiers, service levels and 55+ operating procedures; product interfaces for an enterprise AI coding service.
OutcomesOperating model issued for adoption; executive decisions secured through SES briefings; reusable responsible-AI operating model.
- Platforms
Agentic AI on Amazon Bedrock
Cleared federal engagement and enterprise · 2020–26ScopeMulti-agent solution with AgentCore and Strands (agent-to-agent topologies, tool routing, memory, spend controls) deployed as infrastructure-as-code; an AgentCore-powered SaaS platform with MCP tool integration, two-stage RAG and QA, and layered guardrails; AI document approval with risk scoring and human-in-the-loop controls.
Outcomes~70% shorter development cycles; ~80% lower proposal effort; serverless batch AI services saving more than $1m a year.
- Platforms
Agentic SDLC, enterprise retrieval and document intelligence
Commonwealth tenant · 2025–26ScopeMulti-agent pipeline from policy to requirements, stories, specifications and test cases with human gates; knowledge agent across 41 SharePoint sites; HR response agent for ~100 staff serving ~10,000 employees; handwritten-form extraction and FOI/PII redaction with audit logging.
OutcomesUp to 75% acceleration in selected SDLC tasks; production AI agents in a Commonwealth Microsoft 365 tenant; reviewed by security and architecture teams for sovereign deployment.
- Trust
ICT service centre in a PROTECTED environment
2021–25ScopeDigital strategy, customer portal and a 12-month restructure of 740 service-catalogue items for a very large workforce; enterprise service-management modules, employee service centre, knowledge base and CI/CD.
OutcomesDigital-first service model that became the basis for ongoing improvement; fewer incidents through self-service.
- Business connection
Enterprise analysis and process architecture
2015–26ScopeLead BA for national cloud systems and a connected processing hub released to production; re-specified a 130-million-item claims platform; BPMN-compliant, audit-defensible models for an enterprise ERP; a five-layer business management system architecture.
Outcomes~25% fewer manual claim interventions; production releases against fixed statutory deadlines; models adopted as enterprise benchmarks.
Client names, value bands and referees are available on request. Several engagements were delivered as subcontractor or through specialist placements.
Case study · Platforms
AI agents in a Microsoft 365 tenant.
A large Commonwealth agency wanted grounded, governed AI inside the tools staff already use (Teams, Outlook and SharePoint) and agents working across its software lifecycle and document-heavy processes. Availe’s senior AI engineer (NV1) designed, built and deployed a portfolio of production agents and pipelines in the agency’s own tenant over 2025–26. Every agent is grounded in agency content, keeps people in the loop and logs its actions.
- ~100HR staff using a policy-grounded agent that serves ~10,000 employees
- 41SharePoint sites grounding one organisation-wide knowledge agent
- 400+handwritten records extracted per run, each confidence-scored
- 4stages from policy to test cases, with human review between each
How it fits together.
Where staff work
Agents
Grounding and actions
Azure AI services
All components run in the agency’s own Microsoft 365 and Azure tenancy under its identity and security controls.
What was delivered.
SDLC intelligence pipeline
Copilot Studio → Azure AI Foundry · multi-agentPolicy documents to requirements, user stories, specifications and test cases, with human review between stages and BABOK-grounded gate prompts; moved to Azure AI Foundry when Copilot Studio limits were reached.
HR response assistant
Copilot Studio · Outlook · SharePoint · Power AutomateAn agent in the Outlook side panel drafting policy-grounded replies for ~100 HR staff across nine shared inboxes, grounded in HR policy, past precedent and live intranet checks.
Test case agent
Copilot Studio · Power Automate · Azure DevOps APIReads a backlog item from Azure DevOps through Power Automate and writes structured test cases back: an agent that acts in a line-of-business system, not just reads.
Intranet and research knowledge agents
Copilot Studio · Teams · SharePoint · PnP Modern SearchA Teams knowledge agent across 41 SharePoint sites with tuned retrieval, plus a research agent over institutional publications, validated through user acceptance testing.
Handwritten-form extraction
Azure Document Intelligence · Azure OpenAI · Durable FunctionsOCR plus a large language model for structured extraction from handwritten forms, with upscaling for poor scans and a confidence score on every record.
FOI and PII redaction
Azure Document Intelligence · GPT models · PresidioFirst-pass detection of personal information, including Australian identifiers, with an operator workbench where FOI officers accept and apply redactions under full audit.
What this means for you. Proven patterns for putting AI to work inside Microsoft 365: grounded in your own content, connected to your line-of-business systems, governed by human review and audit, and the judgement to move to Azure AI Foundry when a low-code agent reaches its limits.
Security, sovereignty and responsible AI
Sovereign, secure and accountable.
Take a closer look
Sovereign by construction
Everything we build is deployed and operated inside your cloud accounts in an Australian region: interfaces, control plane, retrieval indexes, workflow definitions, traces, telemetry and audit records.
Model inference runs as a regional service within your account through your chosen gateway. There is no Availe-hosted service, no product telemetry and no vendor account.
Onshore, cleared people
All delivery, support and administrative personnel are Australian-based, principally in Canberra. Our people hold, or would obtain before engagement, clearances from Baseline to NV2.
No offshore development, support, administrative or break-glass access is offered. Support is performed through client-issued identities with just-in-time privileged access, phishing-resistant MFA and session logging.
Security pathway
Because we build in your accounts, the system assessed is your own, not a vendor product. We map ISM controls from design, implement PROTECTED-aligned controls where the classification requires it, produce SSP and control evidence continuously, and support your IRAP assessment and authority-to-operate process.
Availe’s own delivery environment is aligned to the Essential Eight and working towards Maturity Level 2.
Responsible AI in government.
Policy alignment
Designed to the whole-of-government Policy for the responsible use of AI in government, the DTA AI Technical Standard, the ISM and PSPF, and agency records obligations.
Accountability
AI registers, accountable officers, decision rights and RASCI built into the operating model.
Human oversight
Human-in-the-loop gates, explainable and cited outputs, and the ability to intervene and roll back by configuration.
Evidence
Evaluation results, control evidence and audit records written to immutable storage, so compliance history is itself auditable.
Portability
Models, providers and serving layers substituted by configuration; export of all content and configuration in open formats.
Our Trust team. Led by our CEO, with a former departmental Chief Information Security Officer and Assistant Secretary for ICT governance, and a former Commonwealth agency Chief Data Officer and AI accountable officer. They lead our assurance methodology, ISM alignment, IRAP pathway and ATO support.
Our people
Three pillar leads, a business connection team and a cleared, Canberra-based bench: people who have built AI inside government, not just advised on it.
Our pillar leads
The people who lead the work.
- trust
Trust lead
Co-Founder and CEO · NV2 · SFIA 7Strategist first, then product and service designer, with the pragmatism to implement process and operations. Has worked solely on AI for the past three years, designing agentic services and the governance layers around them, including the operating model (ITIL 4 and SIAM), service design and product interfaces for a Commonwealth agency’s secure enterprise AI platform and its earlier agentic AI proofs of concept.
20+ years across government program delivery and corporate services, including senior executive roles. Led a 12-month redesign of 740 service-catalogue items in a PROTECTED environment.
Strategy · AI governance and operating models · product and service design · executive advisory - people
People lead
Delivery, change and adoptionLed delivery coordination for a Commonwealth agency’s agentic AI proof of concept and the secure AI platform that followed, through pilot and Authority to Operate to approved transition into service in 2026. Coordinated a nine-FTE team across product, change, architecture, AWS and AI engineering, business analysis and platform support, and established an evidence-based benefits method.
Designed and ran a 14-session executive deep-dive program that shaped use-case priorities. Formerly head of innovation for a national-security CIO group, recognised with an award for cross-vendor collaboration. Leading SAFe 6.0, PRINCE2, Cert IV Training and Assessment.
Delivery leadership · executive engagement · benefits realisation · skills and change - platforms
Platforms lead
Lead AI engineer · BaselineHands-on agentic AI architect and technical co-founder with 18+ years across software engineering, cloud, AI and enterprise platforms. Deep specialist in AWS-native agentic systems (Amazon Bedrock, AgentCore and Strands) with production experience in RAG, multi-agent orchestration, MCP tool integration, guardrails and enterprise governance.
Designed a two-stage RAG and QA architecture with completeness scoring and risk rating; cost-aware gatekeeping and model tiering; tenant isolation, least-privilege IAM and encrypted storage; full-stack delivery with infrastructure as code. AWS Machine Learning and Data Analytics Specialty.
Agentic AI architecture · Amazon Bedrock and AgentCore · RAG and guardrails · serverless and infrastructure as code
A cleared, Canberra-based bench.
Enterprise BA lead
Business connection team · NV120+ years of enterprise BA and service design; led BA teams of up to six on national cloud and connected-hub systems released to production; integration and data-exchange specifications; replaced hard-coded rules on a 130-million-item claims platform (~25% fewer manual interventions).
Business needs, use cases, requirements, integration specsProcess lead
Business connection team · NV120+ years of government process analysis; BPMN-compliant, audit-defensible models for an enterprise ERP establishment; five-layer business management system architecture; certified process modeller and service-management BA; Six Sigma Green Belt.
Process models, controls, role impacts, traceabilitySenior AI engineer
Platforms · NV120+ years of software engineering; multi-agent SDLC pipeline, 41-site enterprise RAG agent, document intelligence and FOI/PII redaction in a Commonwealth tenant; Copilot Studio, Azure AI Foundry and SharePoint delivery.
Microsoft 365 AI, connectors, document intelligenceTrust team · former SES
AI governance, assurance and ethicsA former departmental CISO and Assistant Secretary for ICT governance, and a former Commonwealth agency Chief Data Officer and AI accountable officer, working with our Trust lead.
ISM and IRAP pathway, ATO support, responsible-AI operating modelDelivery and product
Serata benchDelivery leads, product managers and UX designers with 20+ years in enterprise service design, whole-of-government digital marketplaces and national digital channels; Certified Scrum Product Owners.
Backlog, user research, accessibility, adoptionEngineering and assurance
Serata benchSolution architects, full-stack, platform and quality engineers; service-management and security architects (ITIL 4, ISO 27001 Lead Auditor); AWS Solutions Architect and AI Practitioner certifications.
Architecture, build, test, service introduction
Working with Availe
Ways to engage us.
From a four-week sprint to a twelve-month Build, Operate, Transfer. Select any engagement for detail.
Use-case discovery and prioritisation, readiness and risk assessment, benefits framework and a costed roadmap with investment options.
A governed, working AI capability on your platform against one or two priority use cases, with measured benefits and a decision pack for executives.
An enterprise AI capability built with your people, operated as a managed service while your team is readied, then transferred against measured criteria.
AI operating model, decision rights, AI register, responsible-AI assurance, evaluation methodology, ISM mapping and ATO support.
Agentic AI skills matrix, role-based training programs, executive workshops and communities of practice.
Operation of AI platforms in your tenancy to agreed service levels; an on-call advisory and deep-technical retainer after transfer.
Cleared AI engineers, architects, business analysts and governance specialists embedded in your teams.
Commercial models
- Fixed price per release with agreed scope, milestones and acceptance criteria.
- Fixed monthly managed-service fee that steps down as operations transfer.
- Time and materials against a published rate card for enhancements and surge.
- Retained advisory with an included day allowance after transfer.
No platform licence or subscription fee applies at any point: you contract your cloud provider directly and own everything we build.
Company details
- Entity
- Serata Pty Limited, trading as Serata Digital and Availe
- ABN
- 73 629 385 511 (GST registered)
- Ownership
- Australian owned and operated SME, founded 2018
- Location
- Canberra, Australian Capital Territory
- Web
- www.availe.ai · www.serata.digital
We design and build with your AI platforms to deliver genuine in-house AI capability that is owned, controlled and operated by you.