Your agency has an AI deadline in December. We help you meet it.
DTA Policy v2.0 requires an AI impact assessment for every in-scope use case from 15 December 2026. Vertex Core assesses your AI risk, gets your data ready, and builds systems that survive audit — in fixed-price blocks of two to four weeks.
Serving Australian Government & Regulated Sectors
Fixed-Scope Sprints. Clear Deliverables. Live Results.
Each engagement runs 2–3 weeks with defined outputs — a data readiness blueprint, an AI policy framework, a live agentic prototype, or an independent S/4HANA program review. No open-ended retainers. No vague roadmaps.
Data Readiness for AI
Find Out Whether Your Data Can Support AI Before You Commit Build Money
Targeted 2–3 week data quality and metadata audit across the systems in scope, a target-state platform architecture, and a costed remediation roadmap prioritised by what actually blocks AI.
What you receive
AI Risk & Governance Assessment
Know What AI You Are Permitted to Use, and How to Evidence It to an Auditor
Comprehensive 2–3 week AI impact assessment aligned to DTA Policy v2.0, covering risk/privacy/data-access modelling, RBAC/ABAC rules, human-in-the-loop (HITL) approval design, and register-ready documentation.
What you receive
Build & Deploy an AI Assistant
A Working AI Assistant, Answering Only From Your Approved Sources
Rapid 2–4 week engineering sprint deploying a functional AI assistant to your own tenant — source-grounded, citation-controlled, with a mandatory human approval gate before any decision takes effect.
What you receive
Independent Program Review
Did the Program Deliver What the Business Case Promised?
Targeted 2–3 week independent review evaluating program outcomes, configuration quality, data migration completeness, integration gaps, and benefits realisation against the original business case — covering SAP ECC and SAP S/4HANA programs, proven on a Defence SAP S/4HANA upgrade.
What you receive
Our Technology Ecosystem
Every engagement leverages the platforms your teams already run — Microsoft, SAP, leading cloud infrastructure, data mesh architectures, and agentic AI runtimes.
Microsoft
Cloud & AI Platform
Microsoft Copilot
AI Assistants & Studio
SAP
S/4HANA & ERP
Microsoft Azure
Cloud Infrastructure
Azure AI Foundry
AI Development Platform
OpenAI
Foundation Models
Databricks
Lakehouse & AI
Snowflake
Data Cloud
Amazon Web Services
Cloud Platform
Power BI
Analytics & BI
Microsoft
Cloud & AI Platform
Microsoft Copilot
AI Assistants & Studio
SAP
S/4HANA & ERP
Microsoft Azure
Cloud Infrastructure
Azure AI Foundry
AI Development Platform
OpenAI
Foundation Models
Databricks
Lakehouse & AI
Snowflake
Data Cloud
Amazon Web Services
Cloud Platform
Power BI
Analytics & BI
Cloud & Data Platforms
AI & Agentic Frameworks
Enterprise ERP & Business Applications
Sovereignty & Governance
Assess. Govern. Build.
Three sequenced sprint tracks from raw data to production AI — defined deliverables at every stage, no open-ended commitments.
Assess
Know exactly where your data platform, Copilot readiness, or AI risk posture stands — before you commit to a build. Blueprint in hand.
Govern
Establish risk boundaries, HITL controls, token FinOps, and a PSPF/ISM/DTA Policy v2.0-aligned framework that protects your investment and satisfies your audit committee.
Build
Deploy a live agentic prototype, a production MCP server, or a custom Copilot Studio agent — governed, demo-ready, on a clear path to scale.
Sprint-Based vs. Traditional AI Consulting
Large consulting firms run open-ended programs. We run fixed-scope sprints with defined deliverables and clear exit points — so you see value before committing to scale.
Timeline to first outcome
2–4 weeks, guaranteedScope definition
Fixed deliverables, named upfrontBudget certainty
Transparent, agreed before startCompliance evidence
Built as we go, not assembled for auditFirst deliverable
Working prototype or policy documentWho does the work
Senior principals, onshoreExit points
Stop after any engagement — full value retainedMission & Vision
Our Mission
To help government agencies get AI-ready, governed, and deployed — through three targeted sprints that eliminate the root causes of AI project failure: unready data, absent policy frameworks, and ideas that never become working prototypes.
Our Vision
To be the most trusted AI readiness and deployment partner for Australian Government agencies — where every engagement starts with a clear assessment, proceeds with defined guardrails, and ends with a production-ready outcome.
Beyond the 3 Priority Sprints
Broader Government AI & Data Services
Strategy & AI Risk Advisory, Modern Data Foundations, Sovereign Cloud Architecture, Agentic AI Implementation, and Process Automation — all available as follow-on engagements.
Why Government Agencies Partner with Vertex Core Group
We directly solve the three root causes of AI project failure — with a targeted, fixed-scope sprint for each.
Senior Principals Who Do the Work
Both principals remain hands-on for the whole engagement. The people who scope the work do the work — there is no handover to a junior delivery team after contract signature.
Gaurav Kumar Raghav & Balaji Ranganathan — Principal Engineers.
Compliance Evidence Produced as We Build
Assurance artefacts are generated by the system rather than reconstructed for an audit afterwards. Work aligns to the PSPF, the ISM, the Essential Eight and DTA Policy v2.0, so what you receive stands up to security assessment without a remediation round.
Aligned to the PSPF, the ISM, the Essential Eight and DTA Policy for the Responsible Use of AI in Government v2.0.
Onshore, Sovereign, No Offshore Handling
All work is performed in Australia by Australian citizens. No agency data is handled offshore, and no part of delivery is outsourced.
Built on: LangGraph, AutoGen, Azure AI Foundry, MCP tool servers, sovereign cloud landing zones.
Each sprint runs 2–4 weeks with defined outputs: a data readiness blueprint, an AI policy framework, or a live agentic prototype. No open-ended retainers. No vague roadmaps.
From Readiness Sprint to Production AI
Each sprint delivers a standalone output with real business value. You can stop after any step — no long-term commitment required. Most clients run all three.
01. ASSESS
Data & AI Assurance Sprints
Run Priority 01 & 02 simultaneously or sequentially: audit data platform maturity and establish AI policy guardrails before committing any build budget.
02. BUILD
Build & Deploy an AI Assistant
Priority 03: deploy a governed multi-agent prototype on your cloud environment with real tool execution, MCP connectors, and a live executive demo.
03. DEPLOY
Production Deployment
Harden the PoC into production: implement HITL approval gates, data access controls, audit trails, and sovereign cloud landing zone configuration.
04. SCALE
Ongoing Optimisation
Expand agent coverage, tune token routing, monitor SLA performance, and roll out additional workflows — with Vertex Core Group as your ongoing AI delivery partner.
Ready to Assess, Assure & Deploy AI in Your Agency?
Schedule a 30-minute Strategy Call with our principal engineers. We’ll evaluate your data platform maturity, AI governance readiness, and propose the right sprint to get started.