How the Architecture Works
How the Architecture Works
ConclAIve is a supervised decision-support workflow designed to make reasoning traceable: what was assumed, what is unknown, what was prioritized, and why. It does not replace command judgment — it produces structured, reviewable outputs.
Workflow (observable steps)
- Task framing: Define the operational question, constraints, and success criteria (time, risk tolerance, ROE/authorities, assets, and limits).
- Multi-agent generation: Produce multiple independent COAs (distinct analytic postures) to avoid single-path thinking.
- Cross-analysis: Compare COAs and highlight assumptions, contradictions, risks, and uncertainty drivers.
- Scoring & gating: Apply explicit criteria and non-negotiable rules (human-defined thresholds) before recommending any COA.
- Supervised synthesis: Deliver a defensible recommendation with an audit trail: rationale, trade-offs, unknowns, and next-step questions.
Inputs → Outputs
Inputs
- Operational question (high-level is best for this demo)
- Constraints (time, assets, authorities, risk tolerance)
- Assumptions and known unknowns (optional but recommended)
Outputs
- Multiple COAs with rationale
- Risk / trade-off map and uncertainty flags
- Decision thresholds & human-gated next steps
Deployment posture
- Cloud, offline, or air-gapped: the architecture can run on approved infrastructure and approved models.
- Stateless by design: demo chats are intentionally session-limited; end-to-end workflows pass outputs step-to-step when required.
Quick clarifications
Is this a chatbot? No — it is an orchestration layer that makes reasoning visible and reviewable.
Can I run my own scenario? Yes — use a high-level operational question with clear constraints for best results.
Why multiple agents? To surface blind spots, reduce single-path bias, and produce defensible trade-offs under uncertainty.
What if the workflow is run step-by-step? Steps can run independently; for full continuity, carry the prior step output forward.