Know the estate
Inventory units, dependencies, behavior, data, interfaces, and uncertainty with source citations.
AI Innovation Modernization
Move legacy systems forward.
Keep the proof attached.
AIM is EvoFlux's migration control plane. It turns legacy source into approved knowledge, bounded target work, and deterministic evidence—through workflows people can inspect and govern.
3linked repositories10governed workflows1traceable system of record
LIVE PILOT
42 units · 9 waves · 945 knowledge files
AIM in one minute
One migration state from first inventory to final proof.
AIM gives the program a shared answer to four questions: what exists, what is approved, what may run next, and what proves the result.
Approve what matters
Version rules, mappings, readiness, responsibilities, and gates before work advances.
Bound the target work
Write only to the approved target through explicit, inspectable workflows.
Keep evidence attached
Link source, rules, mappings, builds, comparisons, verdicts, and approvals end to end.
Safety invariant: legacy source is observed, never rewritten. Implementation writes only to the approved target.
Product surfaces
Four places to work. One connected state.
Each surface answers one operational question. Traceability connects the answers across the entire migration.
01
Overview
See estate progress, health, approvals, wave readiness, and the next safe work in one operating board.
State · queue · readiness
02
Knowledge Base
Keep units, rules, mappings, decisions, golden cases, and evidence as durable, reviewable project knowledge.
Shared truth · Git-trackable
03
Rulebook
Define how this source stack becomes this target stack through versioned, project-specific operating policy.
Pinned identity · reviewed changes
04
Pipelines
Run typed workflows with explicit tools, readiness checks, human gates, and linked outputs.
10 governed workflowsThe modernization path
Seven stages, shown at the right level.
Each stage produces a reviewable artifact and unlocks the next only when its gate is satisfied.
Assess
Inventory the estate and plan dependency-aware waves.
Understand
Recover behavior, data, interfaces, and uncertainty with citations.
Review Rules
Confirm the business behavior that must survive.
Design
Map approved behavior into the target architecture.
Convert
Build target code, tests, and reproducible evidence.
Compare
Prove observable behavior with deterministic comparison.
Cutover
Recheck dependencies, approvals, and operational readiness.
Start with one wave
Prove the model before scaling the estate.
A representative pilot exposes real dependencies and comparison noise while remaining small enough to finish and measure.
Protect the source
Map source, target, knowledge base, roles, and acceptance criteria.
Make policy real
Validate the Rulebook and required capabilities for the chosen stack pair.
Complete one loop
Take representative units from assessment through deterministic comparison.
Reuse what worked
Expand with proven rules, patterns, evidence standards, and governance roles.
Customer questions
What teams ask before they trust AIM.
Is AIM an automatic code converter?
No. Conversion is one controlled stage. AIM first understands the estate, confirms rules, approves target design, then proves behavior before cutover.
Does AIM edit the legacy repository?
No. Legacy source is mounted read-only. Writes go only to the target repository or the project knowledge base.
Do we need a finished Rulebook before starting?
No. The Rulebook is adapted and validated during setup. Work stays blocked until the required capability is ready for the engagement.
What becomes the system of record?
The Git-tracked knowledge base holds unit state, rules, mappings, decisions, golden cases, and evidence. Local indexes can be rebuilt from it.
AI Innovation ModernizationMake the migration explainable.
Make the outcome provable.
Bring one legacy estate, one approved target, and the evidence that matters.