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Data Readiness · AI Assurance · Agentic PoC — Australia's Enterprise AI Partners
Enterprise AI That's Ready, Governed & Deployed.
Three structured sprints designed for Australian enterprises: assess your data platform maturity, establish AI policy & assurance guardrails, and deploy a working agentic prototype — all in as little as 2–4 weeks.
Fixed-scope engagements. High-compliance environments. Sovereign cloud ready.
Zero Ungoverned Agent Tool Execution
Sovereign Cloud • Tier-4 Guardrails
Core Priority Engagement Offerings
3 Priority Engagements for 2026
Fixed-scope, high-impact sprints aligned to where enterprise AI investment is heading: data readiness, AI assurance & policy governance, and live agentic prototyping.
PRIORITY-012–3 Weeks
Data & Platform Readiness Assessment
Audit & Blueprint Your Single Source of Truth (SSOT) Data Foundation
Targeted 2–3 week assessment evaluating data quality, schema hygiene, SSOT lakehouse posture (Fabric / BigQuery / Snowflake), vector readiness, and cloud migration TCO.
Fixed Deliverables:
Data Health & Metadata Hygiene Audit
SSOT Target Lakehouse Architecture Blueprint
Vector & RAG Context Readiness Scorecard
Cloud Platform TCO & Migration Roadmap
Target Outcome:Eliminates dirty data and data fragmentation before deploying enterprise AI models.
Book Data Readiness Sprint High Priority Flagship
PRIORITY-022–3 Weeks
AI Assurance & Policy Readiness Assessment
Establish Risk Boundaries, Compliance Guardrails & HITL Triggers
Comprehensive 2–3 week audit evaluating enterprise AI risk posture, RBAC/ABAC data access rules, human-in-the-loop (HITL) approval triggers, FinOps token routing, and safety compliance.
Fixed Deliverables:
AI Risk, Privacy & Compliance Boundary Report
Human-in-the-Loop (HITL) Trigger & Override Matrix
Token FinOps & Model Routing Cost Strategy
Agentic Safety & Data Leakage Audit Framework
Target Outcome:Guarantees 100% operational governance and safety compliance for high-risk enterprise workflows.
Book AI Assurance SprintPRIORITY-032–4 Weeks
Agentic AI PoC Sprint
Deploy a Working Multi-Agent Prototype in 2–4 Weeks
Rapid engineering sprint building and deploying a functional, governed multi-agent AI proof-of-concept on your sovereign cloud environment with real tool execution.
Fixed Deliverables:
Functional Multi-Agent AI Prototype (LangGraph / AutoGen / Azure AI)
Custom Tool Calling & MCP Server Connectors
Sovereign Cloud Landing Zone Deployment
Interactive Executive Demo & Production Roadmap
Target Outcome:De-risks AI adoption upfront by proving ROI with a live, governed prototype in weeks.
Book Agentic AI PoC SprintThe Enterprise AI Production Gap
Why Over 80% of Enterprise AI Projects Get Stuck in "Pilot Purgatory"
Over 80% of enterprise AI projects fail and get stuck in "pilot purgatory" primarily due to poor data quality, a lack of organizational change management, and misaligned business strategies.
01
Data & Infrastructure Issues
- Fragmented Data:Information is trapped in disconnected systems across different departments.
- Poor Data Quality:Inaccurate, incomplete, or dirty data leads to flawed model outputs.
- Weak Foundations:Companies often skip building core data governance and infrastructure before training models.
VertexCore Group Solution: Single Source of Truth (SSOT) & Lakehouse Architectures.
02
People & Process Gaps
- Cultural Resistance (70% Factor):Technology is only 20% of the puzzle; 70% of success depends on human and process transformation.
- No Human Accountability Layer:Failing to provide clear ways for staff to monitor, verify, and override automated AI choices.
- Treating AI Like Magic:Implementing tools as a quick fix rather than managing them like disciplined software deployment.
VertexCore Group Solution: Human-in-the-Loop (HITL) Guardrails & Re-Engineered Ops.
03
Strategy & Leadership Solutions
- Wrong Problem Definition:Chasing tech hype instead of solving a specific, measurable business problem.
- No Clear ROI Metrics:Failing to tie the tool to concrete financial outcomes on the profit & loss statement.
- Fixed-Scope Assessment Sprint:De-risking transformation upfront with clear architectural roadmaps and P&L outcomes.
VertexCore Group Solution: Fixed-Scope Advisory Readiness Sprints (2–4 Weeks).
Our Mission
To eliminate the enterprise AI production gap by engineering secure, high-compliance data and cloud backbones that empower autonomous agents to operate safely, predictably, and at scale.
Our Vision
To power the next generation of intelligent enterprises—where complex workflows and operational decisions are seamlessly executed by trusted human-agent teams operating on sovereign data.
Beyond the 3 Priority Sprints
Broader Enterprise 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.
Proven Differentiators
Why Enterprise Leaders Partner with VertexCore Group
We directly solve the three core root causes of AI project failure—transforming data foundations, human-agent workflows, and executive strategy.
Data & Infrastructure Mastery
Models are commodities; clean Single Source of Truth (SSOT) data foundations, semantic knowledge graphs, and sovereign cloud backbones are your true moat.
Deep architectural expertise across Azure AI Foundry, Microsoft Fabric, Google Cloud Vertex AI, BigQuery, AWS GovCloud, and private vLLM compute clusters.
People & Process Transformation
Technology is only 20% of the puzzle; 70% of AI success depends on human change management, staff trust, and operational re-engineering.
We engineer human-in-the-loop (HITL) approval gates, staff verification controls, and action budget caps so teams safely adopt and trust AI choices.
Strategy & Measurable P&L ROI
No chasing tech hype. We tie every AI tool deployment directly to concrete financial outcomes and cost reductions on your profit & loss statement.
De-risk transformation upfront with 2–4 week fixed-deliverable readiness assessment sprints that eliminate "pilot purgatory".
Enterprise AI FinOps & Compute Optimization Included:
Book Assessment SprintWe actively engineer prompt caching, semantic caching, and dynamic model routing (e.g. GPT-4o / Claude 3.5 vs fine-tuned Llama 3) to cut token API bills by 30%–50%.
Low-Risk Engagement Pathway
Land, Build, Deploy, Scale
De-risk your AI transformation with our structured, step-by-step engagement lifecycle.
Step 012–4 Weeks
01. LAND
Advisory Readiness Sprint
Evaluate data pipelines, security landing zones, and business case ROI before committing capital.
Deliverables: Architectural Roadmap & P&L Business Case
Step 024–8 Weeks
02. BUILD
Core Implementation
Deploy SSOT data foundations, sovereign cloud perimeters, and specialized fine-tuned models.
Deliverables: Production Lakehouse & Inference Mesh
Step 032–4 Weeks
03. DEPLOY
Production Guardrails
Implement Human-in-the-Loop (HITL) approval gates, action budget caps, and audit trails.
Deliverables: Governed Workflows & Security Sign-off
Step 04Continuous
04. SCALE
Managed Ops & FinOps
Continuous model routing, prompt caching, and SLA monitoring to scale adoption enterprise-wide.
Deliverables: SLA Optimization & Active FinOps
Start Your AI Readiness Journey
Ready to Assess, Assure & Deploy Enterprise AI?
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.