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Operations AI · REF

RefurbIQ

Operational intelligence for refurbishment decisions.

Operational intelligence platform for refurbishment, asset recovery decisions and measurable execution.

AVAILABILITYQualified product review
EVIDENCE STATEActive productization
Explore architectureRequest product review

Evidence reviewed 2026-08-17 · Release + product evidence

REF · PRODUCT SYSTEMQualified product review
REF
RefurbIQOperations AI
01Asset intake
02Condition & value context
03Recovery recommendation
04Execution routing

Representative operating-model view. Product-specific proof is separated below.

01 · PROBLEM

What it addresses

Refurbishment and asset recovery operations require many repetitive decisions across condition, value, routing, parts, effort and recovery economics.

02 · OUTCOME MODEL

What it is intended to enable

A structured operating layer that helps teams prioritize assets, standardize decisions and measure recovery performance.

OPERATING MODEL

A workflow designed around AI, authority and evidence.

Integration scope is verified during technical review.
  1. 01Asset intake→
  2. 02Condition & value context→
  3. 03Recovery recommendation→
  4. 04Execution routing→
  5. 05Outcome & yield feedback→

GOVERNED BY DESIGN

AI operates inside defined authority.

Controls are evaluated against the target deployment and buyer requirements.

01Decision traceability
02Threshold policies
03Human override
04Asset history
05Operational evidence

INTEGRATION SURFACES

Meet the systems already in the enterprise.

  • Asset systems
  • Inventory and parts data
  • ERP / WMS
  • Repair workflows
  • Analytics

DEPLOYMENT MODEL

Qualify the environment before commitment.

  • Operational workspace
  • Configurable decision rules
  • Role-based execution
  • Data import / API paths

EVIDENCE

Release + product evidence

Recent repository history shows product-excellence, release-lineage and deployment work. Buyer-specific production scope still requires qualification.

Open Evidence Center →
01Verified signal

AI-native product excellence layer recorded

02Verified signal

Release lineage reconciliation recorded

03Verified signal

Vercel deployment staging work recorded

BUYER PATHS

See the product through the decision-maker lens.

Role pages frame the decisions and evidence that matter most.
FOR CIOsCIO / Technology Executive→

REF · ENTERPRISE EVALUATION

Choose the next useful step.

Start with a short product review, then move into architecture, diligence or a scoped pilot only when fit is established.
Request product review →View engagement modelSecurity brief