Designing Environmental Intelligence for Resilience, Trust, and Action

We design Environmental Intelligence systems that are:

1

Grounded in existing institutions and mandates

2

Built on trusted environmental and community data

3

Governed through responsible data-sharing models

4

Useful for real decisions, not just reporting

5

Designed for public value, local ownership, and long-term resilience

"The EI Programme materials define Environmental Intelligence as a way of combining climate, environmental, community, and institutional data to support better decisions before, during, and after climate-related events."

Shifts We Enable

These shifts reflect how we rethink environmental innovation across African systems.

Fragmented environmental data
Integrated environmental intelligence
Hazard monitoring
Impact-based foresight
One-off dashboards
Governed decision-support systems
Passive communities
Community intelligence networks
Donor-dependent pilots
Sustainable environmental infrastructure
Climate risk as response
Climate resilience as anticipation
Data as reporting
Data as public value
Innovation in isolation
Open environmental intelligence ecosystems
Program

Environmental Intelligence

We help institutions transform environmental, climate, ecological, and community data into usable intelligence for resilience, adaptation, and sustainable development.

Designers working together
Skyline

A Holistic Approach to Environmental Intelligence

Our work moves across three interconnected pillars.

Learn

We uncover what is true, what matters, and what will work

Environmental Intelligence begins with understanding the system before designing the intervention. We study the environmental, institutional, technical, financial, and community realities that shape a problem — identifying what already exists, where the gaps are, and what decisions need to be improved.

  • Understand environmental systems, stakeholder ecosystems, and institutional mandates
  • Assess data landscapes, policies, governance structures, and implementation conditions
  • Surface community insights, opportunities, risks, and assumptions that shape what will work

Create

We design the systems, services, and pathways needed to move forward

We translate insight into practical Environmental Intelligence architectures — the strategies, governance models, service designs, data flows, decision loops, and implementation pathways that help institutions move from fragmented information to coordinated action.

  • Co-design data models and service architectures
  • Formulate governance strategies and data policies
  • Map decision loops and sustainable program pathways

Empower

We turn strategy into adoption, capability, and long-term resilience

Environmental Intelligence only matters if people and institutions can use it, govern it, and sustain it. We work with partners to test, embed, and scale solutions — building the capability, ownership, and feedback loops needed for systems to survive beyond our involvement.

  • Design and test pilots through co-creation, prototyping, and implementation support
  • Build institutional capacity and support partners to adopt new ways of working
  • Capture learning, adapt what works, and create pathways for replication and scale

Meet our project team

A multidisciplinary team working across environmental research, climate innovation & Data Governance.

Arthur Oyako

Arthur Oyako

Project Director

Dominic Lwande

Dominic Lwande

Lead Researcher

Diana Zoro

Diana Zoro

Civic Designer

Eli Otieno

Eli Otieno

AI Engineer

Case Studies

Our Work in Action

transboundary environmental resilience
Case Study 01

Designing Data Governance for Transboundary Environmental Resilience

A NATIONWIDE OPPORTUNITIES PLAN FOR SUSTAINABLE AI ADOPTION

what we're learning

Insights

Insight 01

Environmental Data Is Not Enough

Africa is not short of environmental data. The deeper challenge is turning fragmented signals into trusted intelligence that institutions can act on. Environmental Intelligence must connect ecological, climate, socioeconomic, and community data into a shared decision-making layer.

Insight 02

Build on Existing Systems, Not Around Them

Regional climate and environmental institutions already hold critical infrastructure, mandates, and trust. The most useful innovation often comes from connecting and strengthening what exists — not building parallel platforms.

Insight 03

Community Intelligence Is Infrastructure

Local actors are not just recipients of environmental information. They observe ecosystem change, validate risk signals, report field conditions, and help close the gap between data and action.

Insight 04

Innovation Needs Reliable Environmental Rails

Climate startups cannot build strong products without trusted environmental data. An open Environmental Intelligence layer can become the infrastructure on which innovators can build.

Interested in Environmental Intelligence?

Let's explore how we can partner to drive meaningful impact.

Partner with us