Executive Capability Statement
Data Readiness for AI · AI Risk & Governance · Governed AI Assistants
Vertex Core Group
contact@vertexcoregroup.com.au
www.vertexcoregroup.com.au
Canberra, Australia
ABN 31 620 820 797
Three Fixed-Scope Sprints to Meet Your Agency's AI Deadline
DTA Policy v2.0 requires an AI impact assessment for every in-scope use case from 15 December 2026. Vertex Core Group closes the gap with three fixed-scope advisory sprints — Data Readiness for AI, AI Risk & Governance Assessment, and Build & Deploy an AI Assistant — delivering clear roadmaps, policy guardrails, and a live governed AI assistant in 2–4 weeks.
Commodity AI Platforms
- ✗ Generic templates, no data readiness check
- ✗ No governance framework included
- ✗ Unpredictable SaaS licensing costs
- ✗ No sovereign cloud or PSPF/ISM alignment
Vertex Core Group
- ✓ Data platform audit before AI deployment
- ✓ HITL governance framework, PSPF, ISM, Essential Eight and DTA Policy v2.0 aligned
- ✓ Fixed-price sprints, no surprise billing
- ✓ Sovereign cloud · AWS GovCloud · Azure
Open-Ended Consulting
- ✗ Months of discovery, no working prototype
- ✗ Junior resources, senior partner billing
- ✗ T&M billing with scope creep
- ✗ Slide decks, not deployable deliverables
Primary Priority Advisory & Sprint Offerings
Data Readiness for AI
Data quality hygiene, metadata tagging, SSOT lakehouse posture (Fabric / BigQuery), and vector RAG context readiness.
AI Risk & Governance Assessment
AI impact assessment aligned to DTA Policy v2.0, risk/privacy/data-access modelling, RBAC/ABAC rules, and Human-in-the-Loop (HITL) trigger design.
Build & Deploy an AI Assistant
Rapid engineering sprint deploying a functional, source-grounded AI assistant to your own tenant with a mandatory human approval gate, on sovereign cloud.
Technical Practice Areas & Supporting Capabilities
Strategy, Risk & AI Readiness Advisory
Strategic advisory evaluating data maturity, API connectivity, security posture, agent safety, and high-impact AI use cases (2–4 week fixed-scope engagement).
Modern Data Foundations & Knowledge Architecture
Consolidate disparate transactional, document, and third-party data into Microsoft Fabric, BigQuery, Snowflake, and SSOT lakehouses with semantic knowledge graphs.
Cloud & Solution Architecture Consulting
Architect sovereign, air-gapped landing zones (Azure Secret, Google Cloud Sovereign, AWS GovCloud, On-Prem), low-latency MCP event backbones, private inference hosting, and zero-trust security.
AI Engineering & Agentic Systems Implementation
Build goal-driven autonomous multi-agent workflows across Azure Agentic AI Foundry, Google Agentic AI (Vertex), LangGraph, custom tool calling, and benchmark suites.
Business Process Automation & Transformation
Redesign legacy business processes around hybrid human-agent operating models, web/API automation, AI FinOps token cost control, and digital eForms modernization.
ERP & Enterprise Systems Advisory
Independent advisory across SAP, ServiceNow and Workday — program assurance, upgrade readiness, public sector ERP, access governance, ERP data foundations, and agentic automation for enterprise platform workflows.
Zero Ungoverned Execution
Human-in-the-loop (HITL) gates, action budget limits, cryptographic audit trails, and air-gapped compute perimeters.
Why Government Agencies Partner With Vertex Core Group
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.
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.
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.
Fixed Scope. Fixed Timeline. Clear Deliverables: No open-ended retainers. Every sprint runs 2–4 weeks with defined outputs: a data readiness blueprint, an AI policy framework, or a live agentic prototype.
Full Advisory & Engineering Service Catalog
Follow-On EngagementsAvailable as follow-on engagements after the 3 priority sprints, or as standalone advisory mandates.
| # | Capability Offering | Category | Key Deliverables & Focus | Target Business Outcome |
|---|---|---|---|---|
| 01 | AI Readiness & Strategy Assessment | Advisory | Executive AI Roadmap & Prioritized Use-Case Matrix; Data & Infrastructure Prerequisites Gap Analysis | De-risks AI initiatives before capital commitment; eliminates pilot purgatory. |
| 02 | Data Readiness & Quality Assessment | Advisory | Data Health & Hygiene Audit Report; Schema Consistency & Metadata Completeness Scorecard | Ensures AI models consume trustworthy context, preventing hallucination at source. |
| 03 | Data Platform & SSOT Implementation | Build | Operational Cloud Lakehouse (Fabric / BigQuery / Snowflake); Automated ELT/ETL Data Ingestion Pipelines (dbt / Dataform) | Establishes a unified data foundation for business intelligence and enterprise AI. |
| 04 | Data Platform Modernization & Uplift Assessment | Advisory | Legacy Data Debt & Performance Bottleneck Audit; Cloud Lakehouse Migration Strategy & TCO Comparison | Reduces data infrastructure licensing costs while unlocking high-throughput analytics. |
| 05 | Data Integration Assessment & Roadmap | Advisory | Enterprise Data Flow & API Connection Inventory; Real-Time Streaming & Event-Driven Architecture Spec | Eliminates data silos and establishes low-latency connectivity for automated workflows. |
| 06 | Production AI Deployment & Operations | Deploy | Hardened Production Model Serving Layer (Azure AI / Vertex / Private vLLM); Prompt Caching & Token FinOps Cost Optimization Layer | Scales validated AI prototypes into reliable production systems with 30-50% token cost savings. |
| 07 | Agentic AI & Multi-Agent Assessment | Advisory | Agentic Workflow Feasibility & Process Mapping Audit; Human-in-the-Loop (HITL) Gate & Action Budget Design | Identifies high-ROI automation targets while enforcing strict safety boundaries. |
| 08 | Data Sharing & Governance Assessment | Advisory | Data Sharing Policy & Privacy Compliance Gap Analysis; Role-Based / Attribute-Based Access Control (RBAC/ABAC) Spec | Enables safe B2B data monetization and cross-organization sharing without risk of breach. |
| 09 | Data Sharing & Clean Room Implementation | Build | Operational Enterprise Data Clean Room Infrastructure; Fine-Grained Dynamic Masking & Row/Column Level Access Control | Secures external data collaboration with mathematical privacy guarantees. |
| 10 | Agentic AI Implementation (Proof of Concept / Demo) | Build | Functional Multi-Agent Interactive Prototype / Demo; Custom Model Context Protocol (MCP) Server Connectors | Proves autonomous execution ROI with working software in weeks rather than quarters. |
| 11 | AI Governance & Runtime Security Framework | Governance | AI Runtime Governance & Guardrail Control Engine; Action Budget Limits & Transaction Approval Gateways | Guarantees zero ungoverned execution and maintains regulatory compliance continuously. |
| 12 | Strategic AI Partnering & Advisory Retainer | Scale | 24/7 Model Drift & Agent Reliability Auditing; Anthropic Claude & Multi-LLM API Architecture Upgrades | Provides ongoing principal-level engineering leadership without full-time C-suite overhead. |
Engagement Pathway & Pricing Model
| Stage | Engagement Offer | Duration | Pricing Model | Key Deliverables |
|---|---|---|---|---|
| Tier 1: Land | AI, Data & Rapid Proof of Concept (PoC) Assessment | 2–3 Weeks | Fixed-Scope Advisory & PoC Sprint | Rapid Proof of Concept (PoC), Executive AI & Data Roadmap |
| Tier 2: Build | Foundation & AI Prototype Engineering | 4–8 Weeks | Milestone-Based Core Engineering | Interactive AI Prototype & Multi-Agent Workflows, Operational SSOT Data Pipeline (Fabric / BigQuery) |
| Tier 3: Deploy | Production AI Deployment & Governed Pilot | 4–6 Weeks | Fixed Base + Value Performance Incentive | Enterprise Production Deployment (LangGraph / AutoGen / Azure AI Foundry), HITL Approval Gates & Action Budget Controls |
| Tier 4: Scale | Managed AI Ops & Enterprise Expansion | Ongoing | Tiered Monthly Retainer | 24/7 Production Agent Drift & Model Auditing, Cloud & Token Cost FinOps Optimization |
On-Demand Advisory & Certified Professional Capability Tiers
Trusted & Locally Certified (APAC / Australia)Tactical Execution
On-demand script execution, data preparation & prompt tuning.
Certified Engineering
Certified cloud & data engineers (Azure, GCP, Fabric, BigQuery).
Strategic Leadership
C-suite strategy, sovereign cloud, HITL safety & risk governance.
Recommended Next Step:
Book a Data Readiness for AI or AI Risk & Governance Assessment sprint to map your target architecture and governance framework.