Academy

Executive Masterclasses in AI Systems Thinking, Causal Loop Modelling & AI-Powered Foresight

EXECUTIVE MASTERCLASS PILOT

Experience the Next Generation of Systems Thinking, Modelling, Mapping, Weak Signals Tracking and Intervention Design before public release.

Join a select, hands-on pilot cohort led by Mike Pinder and Kaushik Selva Dhanush Ravi. Master complex systems mapping, automate leverage-point detection using cutting-edge AI and test future impact signals in real time (exclusive 10 person cohort).

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Introducing Nexus Map (Your Systemic AI Mapper)

Next-Gen Systems Mapping & Signals Foresight Engine

Next-gen AI content driven Systems Mapping Tool with full LLM generation and querying support

Further Integrations Releasing Soon

FEATURED PILOT COHORT

Why We Built This Tool

Conventional systems mapping tools like Kumu or manual Miro Board mapping are powerful, but they suffer from significant real-world friction:

  • High Cognitive & Manual Overhead: Constructing variables, loop connections, and structural metrics by hand is tedious and slow.
  • Static, Isolated Artifacts: Most maps sit on boards without dynamic data feeds, automated validation, or machine-readable logic.
  • Uncertain Intervention Design: Practitioners struggle to quickly pinpoint true high-leverage intervention points or simulate how future trends and weak signals will ripple through the system.

We designed Nexus Map Systems Mapping to eliminate these exact friction points.

By integrating flexible LLM agents (Claude, OpenAI with Copilot coming soon) directly into a lightweight, machine-readable mapping architecture, you can move from raw qualitative research to actionable, stress-tested system interventions in minutes.

Explorer Labs AI Driven Systems Mapping and Future Signals Mapping Tool

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 Systems Mapping 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

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

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

GET EARLY ACCESS

Who This Is For

This cohort is designed primarily for:

  • Practitioners & Innovation Leaders: Consultancies, strategy leads, and innovation directors looking for a fast, defensible way to model system interventions.
  • Policy Makers & Government Teams: Regional/national innovation authorities, sustainability officers, and public sector strategists handling wicked challenges.
  • Systems Thinkers & Strategists: Professionals who understand causal loops, stocks, and flows, but want to leverage AI to eliminate manual friction.

Note: While intermediate/advanced knowledge of systems thinking is preferred, ambitious beginners who wish to fast-track their learning are welcome. An intake assessment form will be sent upon application to evaluate cohort composition.

PRACTICAL INFO

Pilot Format & Timings

To test our critical assumptions, gather deep qualitative feedback, and refine the user experience prior to wide release, we are running a focused, high-touch pilot program.

Programme Structure: 2-Session Deep Dive (2 x 2 Hours)

Based on practical delivery requirements, splitting the pilot into two distinct sessions spaced a few days apart offers the ideal balance:

  • Session 1 (2 hrs): Map Construction & AI Augmentation: Hands-on setup, raw data ingests, automated variable extraction, stakeholder mapping, and loop identification.
  • Session 2 (2 hrs): System Dynamics, Signals & Interventions: Applying weak signals (H1–H3), calculating systemic leverage, designing targeted interventions, and exporting artifacts.
  • 1:1 Feedback Session (30 min): Scheduled within 10 days post-workshop to review your custom client/project map and provide tool usability feedback.

ONLINE SESSIONS

Pilot Programme Details

explorer-labs-systemic-mapper-ai-map-construction-augmentation-dynamics-signals-interventions-1

Breakdown of the two pilot sessions.

  • Workspace Setup & Architecture: Setting up your environment, connecting cloud LLMs (Claude/OpenAI), or configuring 100% private local open-weight models via Ollama/LM Studio.

  • Raw Research Ingestion: Ingesting strategy documents, PDFs, interview transcripts, and market notes directly into the canvas.

  • Automated Factor Extraction: Deploying AI agents to scan unstructured data, extract stocks and flows, and build directional link candidates.

  • Human-in-the-Loop Validation: Using real-time approval drawers to audit factors, define variables, and set connection polarities.

  • Stakeholder Network Layering: Mapping key actors, regulatory bodies, and influence dynamics surrounding the system boundaries.

  • Automated Feedback Loop Detection: Isolating, tracing, and analysing thousands of reinforcing (R1, R2) and balancing (B1, B2) loops across complex graphs.

  • Thematic Clustering & Sub-Maps: Generating automated cluster bubbles to slice complex master maps into manageable problem modules.

  • Weak Signal & Horizon Impact Mapping: Stress-testing H1, H2, H3 emerging trends and external market forces against the system model to visualize ripple effects.

  • Calculating Systemic Leverage: Applying Donella Meadows’ leverage hierarchy to identify high-impact intervention points and eliminate bottlenecks.

  • Artifact Exporting: Generating standalone interactive HTML maps, vector PDFs, Excel schemas, and Obsidian vaults for client delivery.

1:1 Session Content:

  • Personal Map Audit: Private, 30-minute consultation scheduled within 10 days post-workshop to review your custom client or project map with Mike and Kaushik.

  • Tailored Technical Support: Fine-tuning custom prompt schemas, local AI model parameters, or advanced graph configurations for your organisation.

  • Product Roadmap Input: Providing qualitative user experience feedback to directly shape commercial release features.

WHAT YOU GET

What Is Included

explorer-labs-systemic-mapper-ai-map-construction-augmentation
  • 4 Hours of Live Cohort Facilitation: Direct access and instruction from the tool co-creators.
  • Full Access to the Platform: Complete access to the core engine and all paid modules unlocked for 1 project.
  • 1:1 Dedicated Advisory Session (30 mins): Individual feedback, map review, and technical consultation.
  • Exportable Master Templates & Workbooks: Access to Excel ingest schemas, Obsidian vault export scripts, and standalone HTML bundlers.
  • Direct Input into the Tool Roadmap: Your feedback will directly shape features for the commercial release.

EXPERT TEAM

Your Facilitators

Mike Pinder

Co-Founder of Wicked Labs, Founder of Explorer Labs and Honorary Practice Fellow at Imperial Business School. Mike brings over 17+ years of experience guiding executive cohorts, governments, SME’s and multinational enterprises through systemic innovation, business design and decarbonisation transformations. He is inspired to create more constructive troublemakers in the World so we leave it better than we found it. Systems Mapping is a great place to start this.

Kaushik Selva Dhanush Ravi

Kaushik is an entrepreneur who loves to solve complex problems using data driven approaches. He creates agentic workflows focused on engineering and product manager productivity. He bridges the technical complexity into daily solutions in businesses. He specializes in building lightweight, machine-readable graphs, custom AI agent interfaces and web-native tools designed for decision-making in high-complexity environments. 

GET EARLY ACCESS

Pricing & Pilot Discount

To build an intimate, feedback-rich environment, this exclusive pilot is strictly capped at 10 participants.

Exclusive Pilot PriceOne Time Pilot Exclusive

€ 495

One Time Pilot
  • 10 Cohort Spaces Only
  • Includes Full Module Access for 1 Project (Worth €99,00)
  • Modules Included: Systems Map Agent, Weak Signals Impacts, Stakeholder Map, Obsidian Export
  • 1:1 Advisory Post Session 
  • 2 Facilitators
  • Live Hands-on Training
  • Certificate of Completion
  • 60% Discount Off Full Training Price
  • USE COUPON: VK07DH to Get Your -€755,00 (60% DISCOUNT)

(Price Excludes EU 21% VAT where relevant). Please also see our Terms & Conditions.

Book Pilot Training

Usual Advanced Training Price

€ 1,250

Per Training
  • Up to 16 Participants (2 Facilitators)
  • Normal Advanced Masterclass price using Systems Mapping AI tool
  • Includes Full Indefinite Full Module Access for 1 Project (Worth €92,00)
  • Modules Included: Systems Map Agent, Weak Signals Impacts, Stakeholder Map, Obsidian Export
  • Live hands-on Training
  • Certificate of Completion

(Price Excludes EU 21% VAT where relevant)

Tool Only Access

€ 398

Project Based Access
  • Full Tool Plus All Modules Access for 10 Future Projects
  • Unlocked via Unique Code Access
  • Or each module can be purchased separately starting from €18 per module

(Price Excludes EU 21% VAT where relevant).

Exclusive Pilot Cohort Dates

Click the booking button above to reserve your spot for the dates below:

Pilot Session Dates

  • Session 1: Nov 24th 2026 at 15:00 – 17:00 CEST (Central European Brussels Time)
  • Session 2: Nov 26th 2026 at 15:00 – 17:00 CEST (Central European Brussels Time)
  • Post Session Feedback: TBC confirmed 1:1 with participants (30 min feedback)
Need Different Dates? Contact Us

What People Have Been Saying

“Using AI agents to automatically extract variables and trace feedback loops from raw research cut weeks off our analysis phase. Testing weak signals against our system model before committing capex was a game-changer for our leadership team.”

Lead Systems Architect & Innovation StrategistMaritime Tech Accelerator

“The systemic approach completely shifted how our team frames complex regional innovation challenges. Translating strategy into visible leverage points made executive alignment effortless.”

Executive DirectorUK Public Sector Innovation

“Explorer Labs' frameworks bridge the gap between academic systems thinking and real-world execution better than anyone else in the field.”

Senior Innovation ConsultantEuropean Strategy Practice

“The programme completely transformed our approach, moving us beyond surface-level goals to truly understand the underlying system dynamics to design high-impact interventions needed for real industrial change.”

Ignite Lab ParticipantInnovate UK Business Connect

Frequently Asked Questions

Have questions about the Academy or pilot cohort? Reach out to our team.

Basic familiarity with causal loops, leverage points, and systemic boundaries is recommended, though ambitious practitioners looking to fast-track their capabilities are welcome.

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.

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.

No, the live pilot sessions will be recorded for internal review and learning purposes only and will not be made available for participants to view after the workshop.

Yes. If you have a team of 6 or more, we deliver custom in-house editions of both tracks tailored directly to your organisation’s specific industry, regulatory, or strategic challenges. Contact us for enterprise bookings.

The Systems Mapping AI Engine is completely model-agnostic. You can connect cloud models (such as Claude, OpenAI GPT-4) using your own API keys, or run 100% private, local open-weight models (like Llama 3 or Mistral via Ollama or LM Studio) directly on your laptop—no cloud connection required. Let us know in the onboarding what your preference is.

Every participant receives indefinite full, unrestricted access for 1 project to the Systems Mapping AI Engine with all premium modules unlocked. All your map exports (HTML, PDF, JSON, Excel, and Obsidian vaults) remain yours to keep forever and you can lock in exclusive early-adopter pricing for ongoing platform access.

Absolutely. Unlike standard web tools, our platform is built for enterprise privacy. By selecting the local model deployment (via Ollama or other local setups), all text processing, variable extraction, and causal graph generation execute locally on your machine. Zero data ever leaves your computer or touches external servers. Or if you prefer you can use your online language model provider Claude or OpenAI.

Traditional mapping training focuses on manual board facilitation, which often results in high cognitive friction and static “spaghetti diagrams.” Explorer Labs Academy combines rigorous human-in-the-loop systems thinking with AI automation to extract variables, isolate feedback loops (R1, B1), and model H1–H3 weak signal impacts in minutes rather than weeks.

You won’t just learn theory—you will build a fully working systems map on a real-world challenge. Deliverables include single-file interactive HTML maps, vector PDF diagrams, Excel ingest schemas, Obsidian vault export scripts, and a dedicated 1:1 strategy review session with our lead facilitators to refine your map.

The pilot rate reflects a 60% discount off the standard €1,250 public release fee. In exchange, pilot participants provide qualitative user feedback and help shape our commercial feature roadmap. Seats are strictly capped at 10 participants per cohort to maintain high-touch interaction.

Yes. We regularly facilitate dedicated corporate masterclasses for corporate strategy teams, public sector authorities, and consultancies. Enterprise cohorts can be customised around your specific industry datasets, regulatory frameworks, or decarbonisation challenges. Contact us directly to arrange a custom proposal.

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