CIOs and COOs face board-level expectations for AI strategy when multiple directions appear possible: process automation, decision support, customer experience enhancement, risk management. Uncertainty persists about which initiatives warrant investment and which create expensive distractions. Strategic direction requires answering what your organisation should pursue with AI and why, before resources are committed to specific initiatives.
Independent assessment determines where AI strengthens competitive positioning and what capabilities must be developed first. Without it, investment decisions rest on vendor claims, internal enthusiasm, or approaches that worked in different operating environments. Assessment grounded in production experience and calibrated to current AI capabilities provides the basis for confident resource allocation without premature technology commitments.
We provide independent assessment through three services, each addressing different decision stages. Each service delivers a defined report and deck.
Determines what your organisation should pursue with AI and why. Evaluates AI potential organisation-wide, assessing strategic directions, competitive advantage opportunities, and investment readiness. Delivers the Strategic Direction Report, enabling executive and board decisions about AI programme launch and priorities.
Creates execution blueprints when strategic direction is set but implementation pathway requires specification. Defines governance frameworks, vendor evaluation criteria, and stakeholder engagement protocols. Delivers the Implementation Blueprint Report, enabling CIO/CTO to commence vendor selection and execution planning.
Evaluates specific use cases when opportunities require independent validation before resource commitment. Assesses technical feasibility, business case viability, and implementation risks against your operating constraints. Delivers the Opportunity Validation Report, enabling a proceed, defer, or reconsider decision with the supporting rationale.
We transfer knowledge enabling you to operate independently, with support available as needed. Implement recommendations yourself, engage implementation partners of your choosing, or work with us again as needs arise.
Uncertain which service applies to your situation? Contact us for an initial consultation to determine the appropriate assessment.
We assess opportunities. We don’t implement them, and we don’t sell vendor products or implementation services. This separation prevents the consulting conflict where implementation revenue shapes assessment recommendations. Our revenue comes entirely from assessment work, enabling objective evaluation of build-versus-buy options, vendor alternatives, and implementation sequencing based solely on what serves your operational context.
Assessment framework developed with input from Deakin University’s Applied Artificial Intelligence Initiative (A2I2). That input keeps our methodology calibrated to current AI capabilities, the environmental factors shaping AI deployment in regulated lending, and proven implementation patterns — not consultant opinion or vendor positioning. It leaves us better prepared to overcome the failure modes that recur in AI assessment: oversimplified frameworks, generic opportunity lists that collapse under regulatory scrutiny, recommendations disconnected from production constraints. Under our Research Framework Agreement with Deakin University, we can commission A2I2 researchers and engineers where an engagement involves questions at the frontier of applied AI in regulated lending, to investigate feasibility and evaluate approaches in your operating environment.
We’ve built AI systems operating under regulatory scrutiny. IFRS 9 expected credit loss models across multi-brand lending portfolios passed external validation. Feasibility investigation into AI-assisted income verification, conducted with A2I2, established where models deliver operational value and where they create compliance obligations. We’ve navigated regulatory interpretation, vendor dependencies, and data limitations in production, and that experience informs every feasibility assessment.
Australian non-bank lenders exclusively. We understand what determines whether AI is deployable in your environment. That includes broker and aggregator platforms you do not control, fragmented loan management and originations platforms, AI investment competing for capital with lending growth, and responsible lending obligations reaching into every automated decision. This sector-specific expertise shapes every assessment, addressing what generic consulting routinely overlooks.
Founded in 2017, Irada brings enterprise architecture and technology strategy experience from Australia’s largest retail bank and global financial services institutions. Our background spans strategic roadmap development, vendor evaluation and management, and enterprise-scale transformation programmes in regulated environments.
Since establishing Irada, we’ve built production-ready IFRS 9 expected credit loss models for one of Australia’s largest non-bank lenders covering credit cards, personal loans, and motor loans across multi-brand portfolios. Model design and documentation passed external validation with no issues identified. Feasibility investigation conducted with A2I2 examined the practical application of emerging AI capabilities in regulated lending environments.
This combination of strategic value creation experience and implementation complexity understanding enables assessment grounded in operational reality. More about our background, experience, and research collaboration is available on our About page.
Independent assessment begins with understanding your situation. We discuss your AI investment context, identify which assessment service addresses your current decision stage, and determine whether independent evaluation fits your requirements.
Discuss your AI investment decisions with independent assessment expertise.
