Local-first decision intelligence
Organizations do not lack information. They lack memory.
Izge reconstructs what was decided, why it happened, which assumptions shaped it, what later contradicted it, and what the team should do next.
Live memory reconstruction
Category refusal
If it looks like chat over files, it already lost the plot.
Not internal search.
Not chat over files.
Not a PM copilot.
A system that remembers why decisions happened.
Use case scenario
Watch a decision come back to life.
Upload the fragments. Izge reconstructs what was decided, why it happened, what later contradicted it, and what should happen next.
01 / Ingest the fragments
A messy artifact pile enters the record.
Roadmap notes, a planning PDF, a launch review, and a pasted meeting excerpt arrive as evidence-bearing sources.
02 / Extract the memory
The fragments become institutional memory objects.
Izge extracts decisions, assumptions, constraints, commitments, and outcomes without turning the product into chat over files.
03 / Rebuild the lineage
The original reasoning becomes visible again.
The Q3 delay connects to activation instrumentation and manual onboarding capacity, making the decision inspectable.
04 / Surface the contradiction
The record starts arguing with the new plan.
A later late-Q2 launch proposal collides with the prior Q3 decision. The conflict is evidence-linked, not inferred from vibes.
05 / Recommend the next move
The action is serious because the evidence is visible.
Izge recommends readiness review, security approval resolution, and assumption revalidation before scope reopens.
The actual failure mode
The old debate returns wearing a new filename.
Critical context is scattered across roadmap notes, product strategy docs, meeting writeups, pasted text, and PDFs. Teams repeat decisions, act on expired assumptions, and create commitments that quietly contradict the record.
01 / Ingest
Artifacts enter as evidence, not vibes.
Markdown, plain text, PDFs, and pasted text become source-bounded objects with provenance attached.
02 / Reconstruct
Decisions become structured memory.
Izge extracts decisions, assumptions, constraints, outcomes, commitments, owners, and timestamps into a traceable graph.
03 / Reason
The record starts arguing with itself.
Contradictions, drift, lineage, uncertainty, and permission limits become visible before recommendations appear.
Four reasoning modes
Decision intelligence is not a chat box. It is a sequence of checks.
Decision lineage
Rebuild the path from proposal to decision to consequence.
Contradiction analysis
Expose when a later plan conflicts with an earlier commitment.
Assumption drift
Detect assumptions that quietly expired while the team kept moving.
Next-action guidance
Recommend the next move only after the evidence is inspectable.
source span
decision edge
conflict edge
recommended check
Current plan conflicts with the recorded onboarding commitment.
Next action: inspect rationale before reallocating sprint capacity.Product trajectory
A layered system for organizational judgment.
Institution Memory Engine
Structured extraction, graph relationships, provenance, permissions, and auditability.
Decision Guidance Layer
Evidence-aware reasoning over lineage, contradiction, drift, uncertainty, and next actions.
Bounded Scenario Support
Simulation only when the remembered record is strong enough to bound speculation.
Why it can win
Trust is not a feature added later. It is the architecture.
Manifesto
Memory before magic.
History before speculation.
Evidence before confidence.
Structure before summary.
Local-first trust from day one.
Izge
Build memory that survives the next meeting.
For product and roadmap teams entering the phase where forgotten rationale becomes strategic drag.