Advisory & Service Offerings
Three structured sprints bridging raw data infrastructure, sovereign cloud perimeters, and governed autonomous agentic execution — with named deliverables, not endless retainers.
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
Why Government Agencies Choose Advisory Over Platforms
Commodity AI platforms give you a tool. Vertex Core Group gives you a governed system, embedded in your sovereign infrastructure, with a named deliverable at the end of every sprint.
Commodity AI SaaS / Platforms
- Generic workflow templates — not tailored to your data
- No data platform readiness assessment before deployment
- No AI governance or policy framework included
- Open-ended licensing — costs scale unpredictably
- No accountability when the AI hallucinates or breaches policy
- No sovereign cloud or PSPF/ISM-aligned data residency support
Vertex Core Group
- Fixed-scope sprints with named deliverables in 2–4 weeks
- Data platform readiness audit before any model is deployed
- AI governance & policy framework — PSPF, ISM & DTA Policy v2.0 aligned
- Fixed-price engagements — no surprise billing
- Senior-led, Australian-based — full accountability model
- Sovereign cloud perimeter: AWS GovCloud, Azure, private vLLM
Traditional Open-Ended Consulting
- Discovery phases that run for months with no output
- Junior resources offshore despite senior partner billing
- No prototype — slide decks and PowerPoint deliverables
- T&M billing with scope creep baked in
- Governance frameworks copied from US/EU templates
- No post-sprint engineering accountability or handover
Our Core Practice Pillars
Select a pillar to explore strategic advisory capabilities, implementation deliverables, and architecture blueprints
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.
12 Modular Sprint Services & Advisory Patterns
Explore our comprehensive 12-item advisory and engineering matrix designed to de-risk transformation, build single-source-of-truth data foundations, and deploy governed agentic AI.
How the 12 Offerings Connect Across 4 Lifecycle Stages
Organizations navigate enterprise transformation through four disciplined phases. Each item in our 12-point matrix targets specific operational barriers:
Advisory Audit
M-01, 02, 04, 05, 07, 08
SSOT & PoC
M-03, M-09, M-10
Governance
M-06, M-11
AI Retainer
M-12 (Claude Partner)
AI Readiness & Strategy Assessment
Comprehensive audit evaluating enterprise AI maturity, data accessibility, security readiness, high-impact use cases, and executive ROI modeling.
- Executive AI Roadmap & Prioritized Use-Case Matrix
- Data & Infrastructure Prerequisites Gap Analysis
- Token & Infrastructure FinOps Cost Model
Data Readiness & Quality Assessment
Targeted assessment evaluating data hygiene, schema consistency, Single Source of Truth (SSOT) posture, and LLM context suitability across systems.
- Data Health & Hygiene Audit Report
- Schema Consistency & Metadata Completeness Scorecard
- SSOT Data Architecture Target Blueprint
Data Platform & SSOT Implementation
Engineering operational single-source-of-truth (SSOT) data pipelines across Microsoft Fabric, Google BigQuery, Snowflake, and Databricks.
- Operational Cloud Lakehouse (Fabric / BigQuery / Snowflake)
- Automated ELT/ETL Data Ingestion Pipelines (dbt / Dataform)
- Unified Semantic Layer & Business Data Modeling
Data Platform Modernization & Uplift Assessment
In-depth audit of legacy data warehouses, databases, and reporting infrastructure to identify cost bottlenecks, latency, and modernization pathways.
- Legacy Data Debt & Performance Bottleneck Audit
- Cloud Lakehouse Migration Strategy & TCO Comparison
- Modern Data Architecture Blueprint (Fabric / GCP / AWS)
Data Integration Assessment & Roadmap
Mapping enterprise API topologies, ERP/CRM database connectors, event streaming queues, and multi-cloud data mesh integration milestones.
- Enterprise Data Flow & API Connection Inventory
- Real-Time Streaming & Event-Driven Architecture Spec
- Unified Data Mesh Integration Strategy
Production AI Deployment & Operations
Deploying enterprise AI models into production environments with secure API endpoints, FinOps prompt caching, latency optimization, and 24/7 telemetry.
- Hardened Production Model Serving Layer (Azure AI / Vertex / Private vLLM)
- Prompt Caching & Token FinOps Cost Optimization Layer
- CI/CD Pipeline for Model Evaluation & Prompt Tuning
Agentic AI & Multi-Agent Assessment
Evaluating business processes to identify candidate workflows suitable for autonomous agent orchestration, tool integration, and Human-in-the-Loop gates.
- Agentic Workflow Feasibility & Process Mapping Audit
- Human-in-the-Loop (HITL) Gate & Action Budget Design
- Tool Calling & Model Context Protocol (MCP) Connector Spec
Data Sharing & Governance Assessment
Assessing cross-departmental, partner, and B2B data sharing policies, regulatory compliance (CDR, Privacy Act), clean room requirements, and access controls.
- Data Sharing Policy & Privacy Compliance Gap Analysis
- Role-Based / Attribute-Based Access Control (RBAC/ABAC) Spec
- Data Clean Room Architecture & Encryption Requirements
Data Sharing & Clean Room Implementation
Implementing secure data exchange networks, Data Clean Rooms (Snowflake / BigQuery Clean Rooms), cryptographic access controls, and automated compliance logs.
- Operational Enterprise Data Clean Room Infrastructure
- Fine-Grained Dynamic Masking & Row/Column Level Access Control
- Automated Audit Logging & Compliance Event Streams
Agentic AI Implementation (Proof of Concept / Demo)
Rapid engineering of functional multi-agent PoCs and demos leveraging LangGraph, AutoGen, Azure AI Foundry, or Vertex AI Agent Builder with custom tool calling.
- Functional Multi-Agent Interactive Prototype / Demo
- Custom Model Context Protocol (MCP) Server Connectors
- Human-in-the-Loop (HITL) Action Approval Interceptors
AI Governance & Runtime Security Framework
Engineering runtime guardrail layers, execution authority limits, prompt injection shields, cryptographic audit trails, and automated compliance enforcement.
- AI Runtime Governance & Guardrail Control Engine
- Action Budget Limits & Transaction Approval Gateways
- Prompt Injection & Jailbreak Defense Pipeline
Strategic AI Partnering & Advisory Retainer
Dedicated executive AI advisory, Anthropic Claude / Multi-LLM ecosystem co-piloting, model fine-tuning, knowledge graph updates, and FinOps retainer.
- 24/7 Model Drift & Agent Reliability Auditing
- Anthropic Claude & Multi-LLM API Architecture Upgrades
- Continuous Schema Maintenance & Knowledge Graph Tuning
Combine Sprints for Custom Enterprise Engagements
All 12 items can be deployed as standalone fixed-deliverable sprints or combined into multi-stage enterprise modernization programs tailored to your governance and compliance framework.
How We Engage: Land, Build, Deploy, Scale
Structured engagement model designed to minimize risk upfront with fixed-scope advisory assessment sprints.
AI, Data & Rapid Proof of Concept (PoC) Assessment
Fixed-Scope Advisory & PoC Sprint
Evaluate data maturity, API connectivity, and execute a rapid Proof of Concept (PoC) to validate high-impact AI use cases with zero long-term commitment.
Key Deliverables
50% upon signing / 50% upon final executive roadmap & PoC delivery
Foundation & AI Prototype Engineering
Milestone-Based Core Engineering
Engineer operational SSOT data pipelines, secure cloud landing zones, low-latency API meshes, and functional interactive AI Prototypes.
Key Deliverables
30% Kickoff / 40% Data SSOT Live / 30% Prototype Validation
Production AI Deployment & Governed Pilot
Fixed Base + Value Performance Incentive
Transition validated prototypes into full enterprise Production Deployment with HITL approval gates, guardrails, and automated evaluation suites.
Key Deliverables
40% Kickoff / 40% Staging Deploy / 20% Production Acceptance
Managed AI Ops & Enterprise Expansion
Tiered Monthly Retainer
Ongoing production model auditing, cloud and token cost optimization, schema updates, guardrail tuning, and strategic scaling advisory.
Key Deliverables
Billed monthly in advance (6 or 12-month contract)
Need a Custom Architecture or Strategy Sprint?
Book our 2–3 week Advisory Assessment Sprint to evaluate data pipelines, cloud security, and high-impact AI agent use cases.
Book Advisory Assessment Sprint