CAPABILITY
AI Capability
A structured perspective on a complex, evolving field.
Navigate the landscape. Build the foundations. Develop real capability.
The AI landscape is exploding – new models, tools, and platforms weekly.
Most organisations are overwhelmed by options and underwhelmed by results.
We help you cut through the noise and build AI capabilities that actually work.
The AI Framework
We organise AI capability into four tiers - from understanding the territory to applying it in your world.
The Landscape
Understanding what is available - the territory before the strategy
Models, Tools, Platforms & Ecosystem
The exploding landscape of AI options: model providers, development environments, automation platforms, integration standards. More capability ships quarterly than used to ship in years. What is out there, what is changing, how to navigate.
Explore the landscape →The Foundation
What needs to be in place - strategic direction, governance, and data readiness
The Practice
How to work with AI effectively - where most projects actually stall
Context Engineering
Right information, right time. Memory systems, knowledge architecture, workflow integration.
Learn more →Agents & Orchestration
One agent, infinite expertise. Skills-based systems where packaged expertise compounds. Plus the governance to run them responsibly at scale.
Learn more →AI Skills & Fluency
Team capability plus organisational change. The bottleneck is not tools - it is people and culture.
Learn more →Most AI projects do not fail on technology - they fail on context, coordination, and capability. This is where we focus.
The Application
Where AI meets your world - applied work, integration, and delivery
Domain Applications
AI applied to specific domains: sustainability reporting, business systems, research synthesis, knowledge management. Different industries are at different stages - we help you find your starting point.
Explore applications →Implementation & Integration
Deployment pathways, integration patterns, and change management that make AI stick.
Learn more →In 30 Seconds
The gap between organisations that “get” AI and those still experimenting is widening — not because the technology is inaccessible (everyone has access now), but because execution speed and capability depth are separating leaders from laggards.
We help you:
- Navigatethe exploding landscape of models, tools, and platforms
- Buildfoundations – strategy, governance, and data/knowledge readiness
- Developpractice – context engineering, orchestration, team fluency
- ApplyAI to your specific domain and challenges
The technology is increasingly commoditised. Your competitive advantage isn't which model you use – it's how quickly you build capability around it.
De-risk on-ramp: start with a small number of workflows, prove value, then scale with confidence. It is the most manageable path for teams who feel AI is overwhelming.
Start with the Readiness Assessment →How we work: We don't just advise – we use AI extensively in our own work. This keeps us current and lets us deliver more value at rates that work for growing organisations.
The Challenge
For Growing Organisations
Everyone says you need AI. But where do you start? You've seen demos, tried ChatGPT, maybe even bought some tools. Results are... patchy.
- • Which AI opportunities are real vs hype?
- • How do we get consistent value, not one-off tricks?
- • What should we build vs buy vs ignore?
For AI-Curious Teams
Your team wants to use AI but struggles to make it stick. Some people get it, most don't. Experiments don't scale into workflows.
- • How do we build real fluency, not just tool familiarity?
- • What's the path from “playing with it” to “working with it”?
- • How do we capture and share what works?
The Landscape Overwhelm
The options are exploding: ChatGPT, Claude, Gemini, Copilot, custom solutions... Plus concerns about data privacy, IP, and trust.
- • Which tools are trustworthy with sensitive data?
- • How do we prove confidentiality, not just promise it?
- • How do we evaluate options without endless pilots?
- • Who can we trust for guidance that isn't selling something?
The gap: Most AI failures aren't model problems — they're context problems, capability problems, and foundation problems.
Tools without systems are toys. Systems without fluent people are expensive shelf-ware. And projects often stall on coordination, not technology.
AI Benefits & ROI
AI can deliver value in many ways. Understanding the different types of benefit helps you set realistic expectations and measure what matters.
Time Savings
Faster completion of routine tasks – drafting, research, analysis, admin.
Cost Reduction
Lower cost per output through automation and efficiency gains.
Increased Output
More work completed with the same resources – volume and throughput.
Quality Improvement
Better accuracy, consistency, and fewer errors in deliverables.
Revenue Growth
New revenue streams, better conversion, or enhanced offerings.
New Capabilities
Doing things you couldn't do before – analysis at scale, synthesis, expertise on demand.
Risk Reduction
Better compliance, early warning systems, error catching before problems occur.
Better Decisions
Right information at the right time – surfacing insights that inform action.
ROI isn't just cost savings. Some benefits are easy to measure (hours saved, costs cut). Others – like better decisions or new capabilities – are harder to quantify but often more valuable.
The key is knowing what type of value you're pursuing and measuring accordingly.
How to measure AI ROI →How We Help
Building AI capabilities that actually work – across the full journey
Landscape Navigation
Cut through the noise, find what matters
- •Tool Selection: Which AI tools are right for your context and constraints?
- •Ecosystem Thinking: Partners, vendors, platforms – how they fit together
- •Pace of Change: What's stable, what's shifting, where to bet
More capability ships quarterly than used to ship in years. We help you stay oriented.
Foundation Building
Strategy + governance + data/knowledge readiness
- •AI Strategy: Vision that starts with your reality, not vendor pitches
- •Governance: Risk, ethics, compliance as enablers – not blockers
- •Privacy by Architecture: Data minimisation, encryption, and access controls that stand up to audit
- •Knowledge Readiness: AI exposes gaps you didn't know you had
Knowledge is more valuable than data alone. Privacy is the trust layer that makes AI usable.
Execution & Fluency
Context, orchestration, capability – our core focus
- •Context Engineering: Right information, right time – fix the context, fix the results
- •Agents & Orchestration: Skills-based systems where expertise compounds – plus operations and governance
- •Team Fluency: Thinking with AI, not just using AI tools
Most AI projects stall here. This is where we focus.
Domain Application
Where AI meets your actual work
- •Sustainability & Reporting: AI-enhanced disclosure, standards navigation, data synthesis
- •Research & Analysis: Landscape mapping, evidence synthesis, competitive intelligence
- •Strategy & Planning: Scenario analysis, theory of change, operating model design
AI without domain expertise produces generic outputs. We bring both.
Who We Help
Professional Services & Consultancies
Knowledge-intensive firms where AI can multiply expertise and capacity.
How we help:
- • AI-enhanced service delivery
- • Knowledge capture systems
- • Skills architecture for domains
- • Team fluency development
Growing SMEs
Organisations scaling beyond founder capacity, needing systems that work.
How we help:
- • AI opportunity assessment
- • Workflow automation
- • Context systems for consistency
- • Practical implementation
NGOs & Mission-Driven Orgs
Resource-constrained teams needing to do more with less.
How we help:
- • AI for research & analysis
- • Document processing
- • Reporting automation
- • Impact at accessible cost
Sustainability Teams
Teams drowning in data, standards, and reporting requirements.
How we help:
- • Disclosure automation
- • Standards navigation
- • Data synthesis
- • AI-enhanced analysis
Navigate + Build
AI CAPABILITY
“How do you work with AI?”
Context, orchestration, fluency – the capabilities
OTHER CAPABILITIES
“Where do you apply it?”
Strategy, systems, capital – AI-enhanced throughout
AI doesn't exist in isolation. It connects to your strategy work, your systems, and your sustainability goals. We work across all of these, because they're connected.
Ready to Talk AI?
Whether you're exploring AI strategy, building AI capabilities, or need specialist expertise to extend your team – let's have a conversation.
No commitment, no pitch. Just a conversation about what might help.
Start with the basics:
- • What are you trying to achieve with AI?
- • What have you tried? What worked / didn't?
- • What would “good” look like?