Services
Most engagements start with a course or a pilot. Many evolve into multi-year capability transfer partnerships. Each stage builds the foundation for the next.
Build the human capability. People become genuinely productive directing AI.
Jump to coursesWe run the methodology on a real strategic question. Your team in the room.
Jump to pilotMethodology licence, capability building, and co-built workflows. The capability transfers.
Jump to partnershipRunning an AI-native analytical workflow well requires fluency in three things at once: strategic analysis, agentic AI tradecraft, and workflow design. Courses are where the human capability gets built.
See full coursesBring us a strategic question of your choice. We build a workflow, run it, present the outputs, and work with you on follow-up questions, alternative scenarios, and stress-testing the analysis. Typical turnaround is days to weeks, not months.
What you receive
An interactive analysis covering actors, drivers, systems maps, scenarios, and decision packages
Every reasoning step visible, every source traceable
Governance-ready output structured for boards, committees, and leadership teams
Your team in the room while we run it — first-hand exposure to how AI-native intelligence is produced
Two example pilots, each led by the relevant domain principal
Strategic Intelligence Briefing
In the National Interest
Prepared for

Pilot lead
Anthea Roberts
Founder, Director & CEO
Events analysed
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Regulatory, political, economic, and technological
Strategic drivers
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Forces shaping Australia’s regulatory landscape
Key actors
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Institutions, industries, and stakeholder groups
Scenario futures
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Divergent pathways stress-tested for impact
Tipping points
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Thresholds that reshape the landscape
Investment Systems Mapping
Strategic Portfolio Analysis
70/30 Australian Pension Portfolio — 5–7 Year Horizon

Pilot lead
Sue Brake
Chair & Investment Vertical Lead
The Question
What are the critical uncertainties affecting our portfolio's core exposures, and how should we position the portfolio to perform robustly across multiple plausible futures?
Macro drivers scanned
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Political, economic, social, technological, legal, environmental
Causal connections mapped
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How drivers reinforce, constrain, and cascade into each other
Scenario futures built
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Divergent worlds stress-tested against the portfolio
Committee-ready paper
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Recommendations, signposts, and no-regret moves
Generic AI helps your team draft and summarise. The Dragonfly methodology improves the quality of the thinking itself — surfacing competing views, stress-testing assumptions, and mapping how forces interact across domains.
Mirrors your assumptions
Output quality depends on your expertise
Single perspective, prompt-dependent
Optimises for plausible-sounding answers
No protection against fabrication
Challenges them systematically
Methodology is built in — 13 lens agents, 70+ analytical skills
Multi-lens synthesis across competing views
Explicit confidence levels, source attribution
Calibrated confidence levels and explicit uncertainty flags
Stage 3 is the partnership. Inside the partnership, three things happen in parallel — not three more stages, three concurrent layers running through the engagement.
Led by experts
The same principals who built the methodology guide every engagement — from kickoff through workflow co-design and analyst training.

Anthea Roberts
Founder, Director & CEO
Professor of international law and global governance. Author of Six Faces of Globalization (FT and Fortune Best Book, 2021). League of Scholars’ world’s leading international law scholar (2019). Taught at ANU, Harvard, Columbia, and LSE.

Sue Brake
Chair & Investment Vertical Lead
Former CIO of Australia’s Future Fund (grown from $70B to $300B). Pioneer of the Total Portfolio Approach — estimated to improve fund performance by 1.0–1.5% per annum over the long term.
Your team gets access to the full agentic analytical system — agents, skills, workflows — and ongoing updates as we improve it. The methodology evolves with the underlying AI models. It is not a frozen snapshot.
We upskill your analysts in three things simultaneously: strategic analysis methodology, agentic AI tradecraft (how to read an agent, write a skill, evaluate an output), and workflow design. The three are inseparable.
We co-build new analytical workflows alongside your team for the analyses you run most often — increasingly co-designed, eventually built by your team independently.
How one government partnership unfolded
Dragonfly was commissioned to build a single workflow on a strategic question of the client's choice. We developed the workflow, ran it, and presented the output.
The client asked for it to be re-run a week later. Then every three days. Then daily. That lived experience — having an analytical engine they could point at a real strategic question, see the output, iterate, re-run — convinced them this was a capability worth bringing in-house.
What it became
Multi-year methodology licence — agents, skills, and workflows transferred into their environment, with ongoing updates
Two capability-building cohorts — around 25 analysts each, trained on strategic methodology, agentic AI tradecraft, and workflow design
An ongoing relationship co-building new workflows with their team as new analytical needs emerge
The leverage we provide is at the methodology layer, not the harness or platform layer. We deploy on purpose-built agent harnesses so analysts work close to their actual environment.
Local-first, sovereign where required
Agent harnesses run locally on the analyst's machine. Government and regulated clients deploy the same methodology against models on sovereign infrastructure.
Harness- and model-portable
Agents and skills are not tied to one product. Compatible with leading local agent environments — Claude Code, Codex, Cowork — and frontier models. The methodology moves as the frontier moves.
Workflows and ad-hoc use
Run pre-defined analytical workflows for recurring questions, or invoke a single specialist agent on a single problem.
Frame the question. Challenge assumptions. Synthesise outputs.
WhatdistinguishesDragonflyThinkingfromconventionalAItoolsisitscognitive architecture,whichislayeredoverlargelanguagemodels.Ratherthansimplygeneratingresponses,thesystemguidesusersthroughaprocessofstructuredanalysisandincorporatesmultipleperspectives.
Development Policy Centre
Independent review
I’dusedAIquitealotbutIhadnever seen a tool like Dragonfly before.ItgavemesomethingconcreteIcouldshow,adaptanduse.
Chloe Tallentire
Department of Finance
Dragonflyisthekindofpowerfultoolweneedtobuildintobusinessasusual.Rapidanalysisintwo hours that previously took three days.
Bridi Rice
CEO, Development Intelligence Lab