Tribal Knowledge...Reclaimed

Griot AI

"Turn data into knowledge... and knowledge into intelligent action."

One Intelligence Layer Across Everything

Unify fragmented systems into a single, continuous understanding of your data ecosystem.

Griot AI is an intelligent platform that discovers, organizes, and activates enterprise data—providing real-time insight, lineage visibility, and decision-ready intelligence.

From raw data to business meaning, Griot AI connects systems, interprets structure, and delivers a living understanding of your data environment so you can move with clarity, confidence, and control.

What We Offer

Core Value Pillars

Identify risks, inconsistencies, and gaps early with a built in intelligence layer that highlights what matters most.

Trust Your Data

Translate technical metadata into business insight with a dynamic data dictionary, lineage mapping, and contextual intelligence powered by Artificial Intelligence.

Understand Your Data

Automatically scan and interpret your data sources (modern and legacy) to uncover structure, relationships, and hidden dependencies.

Discover What you Have

A Real World Solution:

Industry Use Cases

Waste Management -Operational Visibility & Asset Intelligence

Scenario

A regional waste management company operates across multiple cities with fragmented systems for fleet tracking, route management, billing, and environmental reporting. Data is scattered across legacy systems, spreadsheets, and third-party tools.

Challenge

No unified view of operations
Inconsistent data across routing, billing, and compliance systems
Difficulty tracking asset utilization (trucks, containers, routes)
Regulatory reporting is manual and error-prone

How Griot AI Helps

Griot AI connects to fleet systems, billing platforms, and legacy data sources to:

Discover and map operational data across systems
Identify key business entities (routes, customers, assets)
Create a unified data dictionary and lineage across workflows
Highlight inconsistencies between service data and billing records

Outcome

Real-time visibility into operations and asset usage
Improved billing accuracy and revenue capture
Faster, more reliable regulatory reporting
Reduced operational inefficiencies

Finance — Data Integrity & Audit Readiness

Scenario

A mid-sized financial institution is preparing for regulatory audits while managing data across core banking systems, loan platforms, and reporting tools.

Challenge

Manual reconciliation between GL and sub-ledgers
Limited visibility into data lineage
High audit preparation costs and time
Risk of compliance gaps

How Griot AI Helps

Griot AI scans financial systems to:

Reconcile data across GL, loan systems, and reporting layers
Map full data lineage for financial reporting
Identify inconsistencies, missing fields, and risk areas
Build a business-friendly data dictionary for audit transparency

Outcome

Reduced audit preparation time by 50%+
Increased confidence in financial reporting
Early detection of compliance risks
Improved collaboration between finance, risk, and IT

Insurance — Customer & Policy Data Unification

Scenario

An insurance provider manages policy, claims, and customer data across multiple legacy systems and modern applications following years of acquisitions.

Challenge

Duplicate and inconsistent customer records
Fragmented policy and claims data
Limited visibility into customer lifecycle
Difficulty identifying cross-sell opportunities

How Griot AI Helps

Griot AI connects across policy admin systems, claims platforms, and CRM tools to:

Identify and unify customer and policy data structures
Map relationships between policies, claims, and customers
Detect duplicates and inconsistencies
Provide a clear lineage of customer interactions

Outcome

Unified customer view across systems
Improved claims processing accuracy
Better underwriting and risk assessment
Increased revenue through cross-sell insights

Logistics & Supply Chain — End-to-End Data Flow Visibility

Scenario

A logistics company manages shipments, inventory, and supplier data across warehouse systems, transportation platforms, and ERP tools.

Challenge

Lack of visibility into shipment lifecycle
Data inconsistencies between inventory and order systems
Delays due to misaligned data across partners
Limited ability to trace issues across the supply chain

How Griot AI Helps

Griot AI integrates across ERP, WMS, and transportation systems to:

Map end-to-end data flows from order to delivery
Identify breakdowns in data synchronization
Track dependencies across suppliers, warehouses, and carriers
Provide a unified view of inventory and shipment data

Outcome

Improved shipment tracking and transparency
Reduced delays and operational friction
Better coordination across partners
Increased supply chain efficiency