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Learned Business Logic

Nexus Insight

Apprentice AI for Business Logic

An AI apprentice that learns business logic and user preferences by observing interactions. Features a 'Skill Wallet' and 'Implicit Signals Log' that adapts to user behavior in real-time. Includes 'Negative Logic' learning (what NOT to do) and Temporal Triggers.

Type
Apprentice AI
Learning
Observation
Logic Store
Skill Wallet
Maturity
7/10
1

The Apprentice Model

Problem: Hardcoded Logic

Traditional B2B apps rely on static business logic defined by developers. Rules like "highlight variances > 10%" or "always exclude intercompany transfers" are hardcoded, making them brittle and expensive to change as business needs evolve.

if (variance > 0.10) {
   alert("Warning");
} // Hardcoded forever

Solution: Learned Logic

Nexus Insight acts as an Apprentice. It starts with no rules. By observing user corrections (e.g., "remove these transfers"), interactive choices, and repetitive tasks, it learns the business logic and adds it to its "Skill Wallet."

[Skill Wallet]
+ Learned: Variance Threshold (User Pref)
+ Learned: Filter Rule (Observation)

Value for the Organization

For Analysts

Reduces repetitive manual reporting by learning preferences (e.g., "Always exclude intercompany transfers for Midwest region").

For Executives

Provides proactive "Monday Morning" briefings without needing to ask, surfacing anomalies and key metrics automatically.

For the Enterprise

Captures tribal knowledge. As the AI learns one analyst's heuristics, that knowledge is institutionalized and can be shared or audited.

Key Capabilities

Skill Wallet

A visual ledger of learned heuristics.

  • Validation Rule #1
  • Monday Recon (80% Conf)

Implicit Signals

Tracks non-verbal cues to predict needs.

"User always exports to Excel on Mondays at 9am -> Proactively offer export."

Logic Inspector

Open the "brain" to see exactly why a decision was made. Was it a hardcoded rule or a learned preference? Transparency is key.

Roadmap

Near Term (Q2)

  • Natural Language Querying (NLQ): Ask "Why is Detroit lagging?" for deep-dive analysis.
  • Heuristic Sharing: Share "Sales Skill Packs" between analysts.
  • Correction Workflow: Debug logic in natural language (e.g., "Only exclude transfers for external reports").

Mid Term (Q3)

  • ERP Integration: Live connectors to NetSuite/SAP/Salesforce.
  • Anomaly Detection V2: Semantic understanding of seasonal variance.

Long Term Vision

  • "Journeyman" Mode: AI graduates to training other analysts.
  • Enterprise "SME" Graph: Auto-mapping organizational knowledge.