The intelligence layer
Databricks powers the platform. Agivant powers the decisions.
Databricks Lakehouse holds the data. Agivant's agents monitor, reason, and act on top of it, so enterprise teams never have to choose between governing their data and putting it to work.
Agivant's agentic accelerators read spend, supply, contract, and claims data directly from Delta Lake and Unity Catalog, reason over a Genie ontology, and run on Databricks Agent Bricks, routing every decision to a human for a single approval.
Accelerator 01
SourceFleet
Agentic Strategic Sourcing
Enterprise vendor decisions are made with partial information and reacted to only after leverage is lost. SourceFleet orchestrates four agents (LENS, PULSE, SENTRY, and HELM), built with Databricks Agent Bricks and governed by Unity AI Gateway, to manage the entire vendor lifecycle end to end.
LENS reads spend where it lives
Built natively on Databricks, LENS analyzes enterprise spend directly from Delta Lake and Unity Catalog, with zero data movement. Genie surfaces a renewal risk instantly.
$1.8M
Projected savings identified across the portfolio
$14M+
Enterprise spend under continuous governance
142
Vendors monitored without a manual handoff
Accelerator 02
Root cause in minutes, not hours
The monitoring agent flags a stockout risk three days out; diagnosis traces the dependency graph through the Genie ontology to confirm the cause automatically.
Every action is governed and traceable
Proposed plans wait for approval, then push through MCP straight to your ERP. Every tool call and state change is logged in Unity Catalog and traced back to the Lakehouse.
SupplyChain Command & Control Centre
Real-Time Agentic Supply Chain Monitoring
In 2021, a single dark factory went undetected for 72 hours and triggered an 18-day, $340M cascade. Nine specialized agents (monitoring, diagnosis, triage, sourcing, routing, planning, inventory, execution, and communication) run on Databricks Agent Bricks over a Genie ontology of your network, with every plan waiting at a human gate before it acts.
3 days
Advance warning before a stockout hits
$124K
Revenue exposure sized automatically per case
9
Specialized agents coordinated on one case
Accelerator 03
Executive AI Insights Hub
Agentic Business Intelligence
Traditional BI stops at "what happened." Executive AI Insights Hub fuses structured ERP data with unstructured documents through curated agent families (Routing, Retrieval, Market Intelligence, and Impact Synthesis), so a dashboard anomaly becomes a fully quantified, auditable root-cause narrative in seconds.
Ask it like you’d ask an analyst
No SQL required. Genie Space scopes the question through the ontology, and the Retrieval family interrogates ERP data for the exact shortfall behind it.
Every number is auditable
The Impact agent applies Agivant’s versioned quantification methodology and shows its full reasoning trace, down to the exact dollar figure and percentage attribution.
82%
Of the anomaly attributed to one unenforced clause
$180K
Margin impact quantified with a full reasoning trace
Q1>Q3
Recurring pattern caught automatically via precedent
Accelerator 04
Every clause scored against policy
The Risk Assessment agent compares every clause with enterprise knowledge through the Genie ontology and flags real deviations, like a delay-payment clause with no fixed deadline.
ACLI
Agentic Contract Lifecycle Intelligence
A UK court recently cost one enterprise £1.6M over a single unmet clause condition, and on average, companies lose 9.2% of annual revenue to missed conditions, bad renewals, and clauses nobody caught in time. ACLI runs every contract through five agents (Ingestion, Extraction, Risk Assessment, Amendment, and Enforcement), so risk is caught before signature, not discovered in a dispute years later.
5
Agents running the full contract lifecycle
£1.6M
Cost of one missed clause in a recent industry case
9.2%
Of annual revenue lost industry-wide to poor contract management
Accelerator 05
ClaimSense AI
Agentic Healthcare Claims Intelligence
Healthcare claims arrive as invoices, prescriptions, discharge summaries, and reports: unstructured, inconsistent, and slow to process by hand. ClaimSense AI streams every document through Lakeflow, extracts structured claim data with multimodal AI, and reasons over a Genie ontology of patients, policies, and treatments to reach an explainable, auditable decision.
Real-time ingestion, zero batch jobs
Lakeflow Connect detects incoming files and streams them through Bronze and Silver automatically. Multimodal AI extracts patient, diagnosis, and billing details the moment a document lands.
4
Specialized agents evaluating every claim
Real-time
Document-to-decision pipeline, no manual uploads
100%
Of recommendations fully traceable at review
Platform capability
Five accelerators. One governed substrate.
Each accelerator above demonstrates the same underlying pattern: agents reasoning over your Lakehouse, coordinated through Agent Bricks, governed by Unity Catalog, and stopped at a human gate before anything executes.
Vendor Intelligence
Supply Chain Monitoring
Executive BI & Root Cause
Contract Lifecycle
Claims Processing
Genie Ontology Reasoning
Agent Bricks Orchestration
Unity Catalog Governance
Lakebase State Management
Human-in-the-Loop Approval
MCP System Integration
Real-Time Lakeflow Ingestion
Built for any decision your enterprise needs to govern.
Integration
Works on top of what you already run
No migration. No rip-and-replace. Agivant sits on top of the Databricks Lakehouse and gives it a governed, agentic decision layer.
1
Connect your Lakehouse
Agivant reads directly from Delta Lake and Unity Catalog. Spend, supply, contract, and claims data flow in as-is, with no duplicate pipelines and no data movement.
2
Agents go to work
Purpose-built agent families, orchestrated on Databricks Agent Bricks, reason over your Genie ontology, hold full context, and coordinate with each other autonomously.
3
Your team approves
Every plan arrives at a human gate with full reasoning, alternatives considered, and precise next steps. Approve, edit, or reject in seconds, and it executes and logs itself.
