The AI Discovery Package helps organisations move from AI curiosity to AI clarity. In a focused engagement, we identify high-value use cases, assess data and technical readiness, validate feasibility, and define a pragmatic roadmap for implementation.
Identify and prioritise AI use cases aligned to strategic goals
Surface high-impact AI opportunities and rank them by value, feasibility and strategic alignment.
Assess data, technical architecture, and organisational readiness
Evaluate data quality, infrastructure capability and internal maturity to support AI delivery.
Validate feasibility, risks, governance, and compliance considerations
Identify technical constraints, regulatory exposure and responsible AI requirements before investment.
Did you know...
2 Weeks
is all it takes for Ippon’s Discovery Sprint to determine the top AI use cases and defined roadmap.
70%
of AI initiatives fail due to unclear objectives or poor data readiness.
40%
reduction of wasted effort by leveraging the approach of prioritised AI pilots through POCs.
30 - 50%
uplift in speed to value for organisations through defined and validated AI roadmaps.
Get in touch
Connect with our experts to understand how Ippon Australia can assist you align your team, define your problem and surface real opportunities. FAST!
Conor Silke
Business Development (Public Sector)
csilke@ippon.tech
Odhran O'Brien
Business Development (Enterprise)
odhran@ippon.tech
Raja Jani
Chief Data Officer
rjani@ippon.tech
Sherwin Torres
Chief Product & Experience Officer
storres@ippon.tech
Ensures AI becomes an accelerator of strategy, not an isolated experiment.
This is not about experimenting with AI for novelty. It’s about identifying where AI will create measurable value and ensuring you can deliver it responsibly and sustainably.
Identify and prioritise AI use cases aligned to strategic goals
Assess data, technical architecture, and organisational readiness
Validate feasibility, risks, governance, and compliance considerations
Define a clear, phased AI implementation roadmap
2 Week Timeline
Day 1: Alignment & Opportunity Framing
Kickoff workshop
Stakeholder alignment to clarify business goals and AI ambition
Identify top AI opportunities through opportunity mapping
Opportunity sizing and impact assessment
Day 2 to 4: Use Case Definition & Prioritisation
Define top candidate AI use cases
Map use cases against value, complexity, risk, and data availability
Prioritise quick wins vs strategic plays
Day 5 to 6: Data & Technical Readiness Assessment
Review existing data sources, quality, accessibility, and governance
Assess current architecture, tooling, cloud readiness
Identify integration considerations and security risks
Day 7 to 8: Risk, Ethics & Governance Review
Responsible AI considerations
Regulatory and compliance review
Data privacy and security implications
Day 9 to 10: Roadmap
Phased AI roadmap
Resource and capability requirements
Proof of concept and MVP recommendation
Pricing
Packages that fit your scale
Ippon offers packages as a fixed timeframe and cost as well as tailored solutions to suit your needs.
