Drowning in Complexity, Starved for Action
When executive teams, government authorities and innovation leads tackle multi-stakeholder challenges—whether navigating industrial decarbonisation, regional health systems or cross-sector technology supply chains—they inevitably hit a wall.
Traditional Systems Thinking toolkits fail us in predictable ways:
- Manual Friction Bottleneck: Spending days sticking colored Post-it notes on flipcharts only to spend weeks transcribing them into static Miro boards or complex spreadsheets driven solutions.
- Static Snapshot Artifacts: Systems maps created during strategic offsites are often outdated the moment they are finalised. They sit isolated on digital whiteboards without live data feeds or dynamic machine-readable logic.
- Uncertain Intervention Design: Teams struggle to isolate true high-leverage intervention points—the kingpin variables where a targeted effort triggers disproportionate positive systemic change—versus superficial quick fixes.
- Blind Spots to External Shocks: Traditional frameworks excel at analysing past data, but struggle to model how emerging technology horizons (H1–H3) and subtle “weak signals” on the fringe of an ecosystem will ripple through a system.
Over the past months, together with systems tool architect Kaushik Selva Dhanush Ravi, we have been building a platform engineered from the ground up to eliminate these exact friction points.
Today, we are excited to officially announce the Exclusive Pilot Programme of Systemic Mapper AI—launched as part of the Explorer Labs Academy.
Introducing Nexus Map
Nexus Map Systemic AI Mapper is an advanced, machine-readable workspace designed to bridge the gap between qualitative systems thinking and dynamic computational foresight.
By integrating flexible Large Language Model (LLM) agents directly into an interactive graph architecture, Nexus Map allows strategists, innovation leaders, and policy makers to move from raw, unstructured qualitative research to actionable, stress-tested system interventions in minutes.
Next-gen AI content driven Systems Mapping Tool with full LLM generation and querying support
NEXT-GEN SYSTEMS MAPPING
Key Capabilities & Unfair Advantages
1. Raw Research to Structured Map in Seconds
- Input Data Processing: Paste interview notes, strategy documents, web links, or workshop scribbles directly into the canvas.
- Automated Variable & Link Extraction: The AI Agent scans raw inputs, proposes factor/variable pairs (stocks, flows, indicators), builds connections with directionality and delay, and queues them in an approval checklist so you retain total human-in-the-loop control.
We designed Nexus Map Systemic AI Mapper to eliminate these exact friction points. By integrating flexible LLM agents (Claude, OpenAI) directly into a lightweight, machine-readable mapping architecture, you can move from raw qualitative research to actionable, stress-tested system interventions in minutes.
Input any document, link website, AI agent to generate your systems map
2. Machine-Readable Causal Loop & Leverage Analysis
- Automated Feedback Loop Detection: Instantly isolates and traces thousands of feedback loops (R1,R2,B1,B2) across complex graphs.
- Intelligent Cluster & Bubble Generation: Group variables into thematic clusters automatically via the Agent or manually define custom boundaries to zoom into specific subsystems.
- Real-time Map Health & Dashboard: Continuous audit checks flag missing units, missing definitions, or orphaned nodes.
Automated loop detection and creation, thematic clustering and map health
3. Stakeholder Influence & Network Mapping
- Dual-Layer Analysis: Map the people, institutions, and regulatory bodies surrounding the system.
- Influence Loops: Visualise who influences whom, trace power dynamics, and align stakeholder interventions directly with systemic leverage points.
Stakeholder map with key influencing power dynamics automatically generated
METHODOLOGIES APPLIED ACROSS LEADING ACADEMIC INSTITUTIONS, ENTERPRISES & PUBLIC AUTHORITIES
4. Weak Signals & Future Impact Horizon Mapping
- Signal Scan & Impact Testing: Test future trends, emerging technologies, or market forces (H1,H2,H3 horizons) against your system model.
- Visual Impact Ripples: See specifically where, how, and to what degree external “weak signals” push specific system variables and disrupt feedback loops.
Automated future weak signals mapping, monitoring and intervention point vulnerabilities
5. Intelligent Systems Modelling with AI & Language Models
- Conversational Systems Querying: Interact directly with your systems map using any leading language model. Ask complex questions about the system dynamics, challenge assumptions, and uncover hidden structural insights through natural dialogue.
- Future Signal & Scenario Modeling: Query future signals and inject macro trends into the map to instantly simulate, trace, and visualize how disruptions cascade through interconnected variables.
- Predictive Consequence Analysis: Change variable states or test potential interventions in real time to model alternative futures, forecast downstream outcomes, and identify high-leverage intervention points before implementation.
Converse with language models to simulate future signals, test variable changes and model downstream consequences
Pilot Programme: What Is Included & Cohort Details
To stress-test our core platform assumptions, gather qualitative feedback, and refine the user experience prior to wider public release, we are opening an intimate, hands-on Pilot Cohort.
The pilot is structured as an intensive 2-Session Live Virtual Masterclass (2 x 2 Hours), plus an individual 1-on-1 advisory call.
SESSION 1: Nov 24, 2026 (15:00–17:00 CEST)
- Setup & Local/Cloud Model Configuration
- Automated Variable & Factor Extraction from Text/PDFs
- Building Machine-Readable Causal Loop Graphs (R & B Dynamics)
SESSION 2: Nov 26, 2026 (15:00–17:00 CEST)
- Conversational Map Querying with Language Models
- Testing Horizon Weak Signals (H1–H3) & Ripple Analysis
- Designing Targeted Interventions & Exporting Project Artifacts
Who This Pilot Is For
This program is designed for practitioners who tackle high-complexity challenge spaces:
- Public Sector Innovation & Strategy Leads: Policy makers, regional development heads, and government strategists handling complex societal challenges.
- Corporate Innovation & ESG Directors: Executives seeking defensible, data-backed models to justify resource allocation and intervention design.
- Systems Thinkers & Strategy Consultants: Advisors looking to eliminate manual mapping overhead and offer cutting-edge AI foresight capabilities to clients.
(Note: While prior familiarity with systems mapping concepts like causal loops is helpful, ambitious practitioners looking to fast-track their capabilities are welcome. An intake form evaluates cohort composition).
Exclusive Founding Participant Perk
Every participant in this founding pilot cohort receives full, indefinite access to all software modules for one project—enabling you to continue using the platform on your own client or organisational challenge long after the cohort concludes.
Join the Founding Pilot Cohort
To maintain high-touch facilitation and direct feedback, this pilot is strictly capped at 10 participants.
Frequently Asked Questions
Have questions about the Academy or pilot cohort? Reach out to our team.
Q: Do I need prior experience in systems mapping?
Basic familiarity with causal loops, leverage points, and systemic boundaries is recommended, though ambitious practitioners looking to fast-track their capabilities are welcome.
Q: Can I use my own client or project data during the masterclass?
Yes! You can use local open-weight AI models (via Ollama locally if needed) so your confidential client or project data never leaves your computer. Or you can use your cloud based language model access via Claude or OpenAI.
Q: Can I run this tool with full data privacy?
Yes! Your data stays local to your computer. Only your AI chat and queries will be exchanged with cloud services. No map data ever leaves your computer.
Let’s talk!
Reach out below
We’ll discuss your specific sustainable business-innovation challenges and what to do about them
Mike Pinder is a cross-industry business and innovation consultant, thought leader, author, senior trainer, lecturer and international keynote speaker. He’s driven by using innovation to leave the World a better place than we found it. Mike is a co-founder of Wicked Acceleration Labs (an industry-academia research lab aimed at tackling complex Systemic and Wicked Problems), Member of Board of Advisors at Global Innovation Institute (GInI), & Honorary Practice Fellow at Imperial College London Business School.
Mike consults and leads across Innovation Strategy, Systemic Design, Systems Thinking, Design Thinking, Lean Start-up and Entrepreneurship, Business Model Innovation in both B2B and B2C. He guides, trains and facilitates: C-Level Innovation Strategy, AI Enhanced Innovation Process and Methods, Tool Development and Design, Innovation Accelerators, Innovation Capability Training Programs, Academic Research, Executive Education (Exec Ed), University Program Design, Intrapreneurship, Digital Transformation, Design Sprints and more.
