Enterprise AI

LAL A.I.

Turn data into decisions.

LAL A.I. turns enterprise context from ERP, databases, REST services and documents into search, analysis, decisions and automation using n-grams, embeddings and RAG. Versioned templates, feedback loops, RBAC and auditability support enterprise-grade usage.

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LAL A.I.
DETAILED OVERVIEW

A decision engine that runs on real enterprise data

LAL A.I. ingests ERP/DB/REST sources, builds n-gram and embedding representations, and injects live context via RAG to produce explainable outputs.

Versioned templates and A/B comparisons measure results; feedback loops improve quality.

Context Injection

RAG + ERP data for auditable generation.

Governance & Security

RBAC, masking and audit logs.

Cloud + Local Models

Cloud and local model support with hot key switching.

CAPABILITIES

Measurable Business Outcomes

Performance indicators used to measure process speed, accuracy and access to information in LAL A.I. scenarios.

Up to 40% faster decision cycles

“Faster” metric from the main LAL A.I. page.

+15% decision accuracy

Decision-accuracy metric with feedback loop.

+25% user adoption

Adoption metric associated with simplified UX.

-20% ticket resolution time

Performance indicator for technical-service resolution workflows.

-25% proposal/tender cycle time

Proposal/tender KPI from the detailed LAL page.

-60% document lookup time

Document lookup KPI from the detailed LAL page.

CAPABILITIES

Highlighted Solutions

Three core enterprise solution scenarios for LAL A.I.

Technical Service & Field Ops

Ticket → planning → dispatch → SLA tracking. Mobile forms, OCR and spare-part suggestions in one flow.

  • SLA & escalation
  • Mobile forms/OCR
  • Spare-part suggestion
  • KB with RAG
  • Field route optimization

Document Management

Auto field extraction from invoices/waybills/contracts; smart indexing and version control.

  • OCR + NLP
  • Auto tagging
  • Versioning
  • Retention/policy
  • Semantic search

Proposal & Tender Management

RFP/RFQ parsing, spec matching, costing and compliance checks for faster proposals.

  • RFP parsing
  • Spec matching
  • BoM costing
  • Compliance/Risk
  • Template generation
CAPABILITIES

Core AI Capabilities

Core capabilities across search, context, orchestration and governance.

N-gram Analysis

Key terms/patterns from free text; TF-IDF / PMI signal scoring.

Vector Search

Sentence/record embeddings; similarity via cosine/dot.

RAG & Context Injection

Auto-inject ERP/DB context into prompts.

Prompt Templates & Versioning

Versioned templates with A/B comparisons.

Workflow & Orchestration

Preprocess → inference → validation → publish.

Feedback Loop

User rating/explanation → quality metric → continuous tuning.

Data Governance

Field masking, audit logs and role-based access.

Live Connectors

SAP (OData/BAPI), Wolfram ERP, REST, SQL; scheduled/event-driven.

Model Support

Cloud models + local models; hot key switching.

CAPABILITIES

Enterprise Capability Catalog

Enterprise capability catalog spanning decision support, document intelligence, operational automation and security.

Core Technology

  • N-gram & embedding text mining
  • RAG context injection from ERP/DB/REST
  • Vector search (cosine/dot), multilingual queries
  • Prompt templates, versioning and A/B comparisons

Decision Support

  • Anomaly & fraud detection (rules + ML hybrid)
  • Forecasting: demand, delay, failure
  • Risk scoring and threshold alerts
  • Explainable output with short summary + source reference

Document AI

  • OCR + NLP field extraction for invoices/waybills/contracts
  • Template-free capture using patterns + embeddings
  • Context retrieval from regulation/compliance texts

Operational AI

  • Signal-driven automation for stock/manufacturing/finance
  • Kafka/RabbitMQ event/queue triggers
  • Root-cause explanation and recommendations

Search & Knowledge

  • Semantic search and intent detection
  • Hybrid vector + keyword queries
  • Recommendation engine and similar-record discovery

Security & Compliance

  • PII masking and RBAC
  • Audit log and review trail
  • On-prem & cloud deployment, key switching
PROCESS

How It Works

01

Ingest

Stream from SAP/Wolfram ERP, REST/SQL, files and queues.

02

Enrich

Clean; build n-grams & embeddings; map to ontology.

03

Reason

Apply RAG with context to produce explainable outcomes.

04

Measure & Improve

Feedback, metrics and versioning to iterate.

INTEGRATIONS

Integrations

Enterprise Systems

  • SAP (OData/BAPI/IDoc)
  • Wolfram ERP
  • REST/GraphQL
  • SQL: MSSQL/PostgreSQL/MySQL

Messaging & Files

  • Kafka/RabbitMQ
  • SFTP/SMB file shares
  • Scheduled and event-driven flows
FAQ

Frequently asked questions

How are field service flows integrated?+

Tickets and work orders are pulled from ERP; LAL suggests routes & parts, OCR fills mobile forms, and SLA breaches trigger alerts.

Retention and versioning for documents?+

Versioning, retention/policy and access logs are standard; texts are embedded into a vector index for semantic search.

Compliance and costing in tenders?+

RFPs are parsed; spec items are mapped to products/BOM; merged with ERP costs to produce compliance/risk reports and a proposal template.

QBS PARTNER NETWORK

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The product showroom filters the authorized network by product capability.

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See LAL A.I. with your own scenario.

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