Services Designed to Reduce Risk
Three distinct approaches to help you explore AI integration at your own pace, each focused on generating evidence before significant commitment
Return HomeChoose Your Starting Point
Each service addresses a different stage of AI exploration. You might start with process mapping to identify opportunities, move to proof of concept development to test feasibility, or focus on team capability building to work effectively with AI tools. Many organisations use all three services as they progress from initial assessment to confident implementation.
All our services share the same philosophy: small initial investments, evidence-based decisions, and building your internal capability rather than creating dependency.
Process Mapping & Opportunity Analysis
Understand where AI might genuinely add value through careful examination of your workflows and realistic assessment of opportunities.
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Proof of Concept Development
Test AI capabilities through working prototypes that generate actual evidence about performance before broader implementation.
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Team Capability Building
Help your team work confidently with AI tools through practical training focused on real capabilities and limitations.
Learn MoreDetailed Service Descriptions
Process Mapping & Opportunity Analysis
Foundation for informed AI decisions
Before investing in AI implementation, you need to understand where it might genuinely help. This service provides that understanding through careful observation and analysis of how work actually flows through your organisation.
What's Included
- • Documentation of current workflow patterns and pain points
- • Identification of specific automation opportunities
- • Assessment of data infrastructure readiness
- • Realistic evaluation of technical feasibility
- • Prioritisation of potential opportunities
- • Written report with findings and recommendations
Who This Serves
Organisations beginning to explore AI possibilities who want honest assessment before committing resources. Particularly valuable when you're facing pressure to adopt AI but need clarity about where it might actually help.
Timeline
Typically 1-2 weeks from initial discussion to final report, depending on scope and complexity of processes examined.
Expected Outcomes
Clear understanding of where AI might add value, realistic assessment of implementation requirements, and prioritised opportunities ranked by potential impact and feasibility. Many organisations use this analysis to make informed decisions about whether to pursue AI integration at all.
Proof of Concept Development
Evidence-based testing before commitment
Rather than committing to full implementation based on possibilities, this service lets you test AI capabilities with actual data and real requirements. The working prototype generates evidence about what's achievable and what limitations exist.
What's Included
- • Use case selection and scope definition
- • Working prototype development with your data
- • Performance testing against real requirements
- • User testing with your team members
- • Integration feasibility assessment
- • Honest evaluation report with scaling recommendations
Who This Serves
Organisations that have identified potential AI opportunities but need evidence about feasibility and performance before broader implementation. Particularly valuable for reducing risk in unfamiliar technology areas.
Timeline
Typically 2-6 weeks from scope agreement to evaluation report, depending on technical complexity and data preparation requirements.
Expected Outcomes
Working prototype demonstrating actual capabilities and limitations, performance data based on your requirements, clear recommendation about whether to proceed with broader implementation. Whether the proof succeeds or reveals limitations, the learning informs better technology decisions.
Team Capability Building
Sustainable competence development
Your team's ability to work effectively with AI tools matters more than the tools themselves. This service develops practical skills and critical evaluation capability, helping staff use AI effectively in their specific roles while understanding both possibilities and limitations.
What's Included
- • Role-specific training tailored to actual work contexts
- • Hands-on practice with relevant AI tools
- • Critical evaluation skills development
- • Understanding of AI capabilities and limitations
- • Guidance on output verification approaches
- • Workshop sessions or ongoing coaching arrangements
Who This Serves
Organisations adopting AI tools who want their staff to use them confidently and appropriately. Particularly valuable when you need to build internal capability rather than relying on external expertise for every question.
Timeline
Flexible delivery: concentrated workshops over 1-2 days, or ongoing coaching spread across several weeks, depending on learning objectives and team availability.
Expected Outcomes
Team members who can use AI tools effectively in their roles, evaluate outputs appropriately rather than accepting them uncritically, and understand when AI is and isn't suitable for different tasks. This capability compounds over time as staff apply learning to new situations.
How to Choose
Start with Assessment
If you're unsure where AI might help, begin with Process Mapping to identify genuine opportunities through careful analysis
Test Before Scaling
When you've identified opportunities, use Proof of Concept to generate evidence about feasibility before broader commitment
Build Capability
As you implement AI tools, develop your team's skills through Capability Building to ensure sustainable adoption
These services work together but you're not required to use all three. Start where it makes sense for your situation, proceed at your own pace, and expand based on what you learn. We're happy to discuss which approach might suit your current needs.
Common Questions
Can we start with one service and add others later?
Absolutely. Many organisations begin with Process Mapping to understand opportunities, then move to Proof of Concept for selected use cases, and finally engage Team Capability Building as they implement. You're never committed to using all three services.
What if the proof of concept shows AI won't work for us?
That's valuable learning that prevents larger investment in unsuccessful implementation. We view proofs that reveal limitations as successes because they provide clear evidence for decision-making. The cost of a failed proof is modest compared to the cost of implementing systems that don't deliver value.
Do we need technical expertise in-house to benefit from these services?
Not necessarily. Process Mapping requires no technical background. For Proof of Concept and Team Capability Building, we work with your existing capabilities and explain technical concepts in accessible terms. Part of our role is bridging the gap between technical possibilities and business needs.
How do these services compare to traditional consulting engagements?
Our services typically involve smaller initial investments, faster timelines to useful outputs, and more emphasis on building your internal capability. See our comparison page for detailed differences between our approach and traditional consulting models.
Ready to Explore Options?
Let's discuss which service might make sense for your situation. We can help you determine the right starting point based on where you are in your AI exploration journey.
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