AI CAPABILITY • APPLICATION

Domain Applications

Where AI meets your actual work

In 30 Seconds

AI capability is only valuable when it's applied to something that matters. This page shows where our AI expertise – context engineering, skills-based orchestration, team fluency – meets real domain challenges.

Our unique position: Most AI consultants don't understand sustainability. Most sustainability consultants don't understand AI. We work at the intersection.

The result: AI applications grounded in domain expertise, not generic implementations. Sustainability work enhanced by genuine AI capability, not just tool access.

The Intersection

AI Capability

Context engineering, skills-based orchestration, and team fluency – the foundations that make AI actually work. Not just tools, but systems that compound value over time.

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Sustainability Expertise

Deep understanding of the sustainability landscape – from planetary foundations to corporate action, from finance flows to data systems. The domain knowledge that gives AI applications meaning.

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Why this matters: AI without domain expertise produces generic outputs. Domain expertise without AI capability leaves value on the table. The intersection is where real competitive advantage lives.

Application Domains

Where AI creates value in sustainability and business contexts

Sustainability Reporting & Disclosure

AI-enhanced analysis and drafting for CSRD, TNFD, CDP, and GRI requirements. Navigate complex standards, synthesise data from multiple sources, and produce consistent, auditable outputs.

Example Applications

Double materiality assessment support, standards gap analysis, disclosure narrative drafting, multi-source data synthesis

AI Capabilities Used

Context Engineering (knowledge architecture), Skills & Fluency (team capability)

Carbon & Biodiversity Markets

Navigate the complex landscape of environmental markets. AI helps with due diligence, methodology analysis, credit quality assessment, and market intelligence.

Example Applications

Credit quality evaluation, methodology comparison, market price intelligence, registry data analysis and verification

AI Capabilities Used

Context Engineering (data synthesis), Agents & Orchestration (workflow automation)

Research & Knowledge Synthesis

Transform how organisations process information. From landscape analysis to literature reviews, AI dramatically accelerates research while maintaining rigour.

Example Applications

Competitive landscape analysis, policy and regulatory tracking, stakeholder mapping, evidence synthesis for proposals

AI Capabilities Used

Context Engineering (memory systems), Skills & Fluency (research capability)

Supply Chain & Value Chain Analysis

AI-enhanced traceability, risk assessment, and supplier engagement. Navigate EUDR requirements, assess scope 3 emissions, and map complex value chains.

Example Applications

Supplier sustainability assessment, EUDR due diligence, scope 3 data collection, risk mapping across supply tiers

AI Capabilities Used

Agents & Orchestration (workflow automation), Context Engineering (data integration)

Strategy & Planning

AI as a thinking partner for strategic work. Scenario analysis, theory of change development, and operating model design benefit from AI's ability to synthesise complexity.

Example Applications

Theory of change development, scenario planning, operating model design, investment readiness preparation

AI Capabilities Used

Skills & Fluency (strategic thinking), Agents & Orchestration (analysis workflows)

Underlying AI Capabilities

Domain applications are powered by these foundational AI capabilities.

The Landscape

Navigating the exploding AI landscape – model providers, development environments, automation platforms, integration standards. We help you choose what matters for your context.

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Ready to Apply AI to Your Work?

Whether it's sustainability reporting, research synthesis, or strategic analysis – let's explore how AI can enhance your specific domain challenges.