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AI Efficiency Finder
Map workflows, identify friction and prioritise safe AI opportunities before buying software.
- Stakeholder interviews and workflow map
- Task/time/friction analysis
- Opportunity matrix and 30/60/90-day roadmap
Australian AI adoption partner
Practical AI adoption, built for real work.
Dinky Di AI helps Australian organisations educate teams, identify efficiency opportunities, implement responsible AI governance, and build custom AI assistants where they create measurable value.
SMEs & NFPs
Schools & education
Public-sector suppliers
Responsible AI
Adoption pathwayHuman-led AI
01Educate teams before tools.
02Find high-value workflow friction.
Opportunity signal
Readinessassess
Governancedocument
Pilotmeasure
Custom assistantonly if justified
Productised services
Start with the business outcome, not the AI tool.
Fixed-scope offers designed for organisations that want practical AI benefits while managing privacy, staff confidence, quality and risk.
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Responsible AI Starter Pack
Turn AI policy templates into practical operating rules your team can actually use.
- AI use policy and register
- Approved tools and data handling rules
- Human review and staff do/don't guidance
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Custom Knowledge Assistant Pilot
Prototype a private assistant for internal policies, procedures, training material or repeated knowledge work.
- Data and document readiness check
- Retrieval-based prototype design
- Evaluation, privacy and human oversight plan
Education
AI readiness for Australian schools and education providers.
Support for leaders and teachers balancing workload relief, student learning, privacy, assessment integrity and community trust.
A+
School AI readiness audit
Review current AI use against responsible-use expectations and produce a practical action plan.
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Teacher workload review
Find safe opportunities for planning, resource creation, feedback drafting, reporting and administration.
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Assessment redesign
Clarify where AI is permitted, prohibited or scaffolded, with rubrics and student declarations.
Government & suppliers
Assurance-ready AI adoption.
Practical artifacts for organisations that need to explain, govern, procure, test and monitor AI-enabled systems.
AI use-case risk assessmentClassify the use case, data sensitivity, users, impacts and required controls.
AI register and transparency noteDocument purpose, users, limitations, human oversight and review cadence.
Procurement due diligenceAsk vendors about data use, testing evidence, privacy, explainability, security and lock-in.
Performance testing planDefine how outputs will be tested before and after deployment.
Method
A safe path from curiosity to capability.
EducateBuild shared AI literacy, practical prompting and verification habits.
IdentifyMap workflows and rank opportunities by value, feasibility and risk.
GovernCreate policies, registers and human oversight before scaling use.
PilotRun measured trials with clear success criteria and staff feedback.
BuildDevelop custom assistants or models only where evidence supports it.
Proof artifacts
Concrete deliverables, not vague AI advice.
Dinky Di AI engagements produce documents and working artifacts that help organisations make decisions, demonstrate control and move forward.
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AI opportunity matrix
A ranked view of candidate use cases by value, complexity, data sensitivity and risk.
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AI use register
A living record of tools, purpose, owners, data inputs, limitations and review dates.
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Procurement checklist
Questions for vendors covering data retention, training use, security, testing, explainability and support.