LllenzThe AI Factory layer of Decision-Driven
Lllenz: where AI ambition becomes governed delivery.
The execution surface for the AI Factory layer of our methodology.
The conversation we have with boards has moved on from whether to use AI. It is now about how to move from experimentation to repeatable, governed, business-aligned delivery. Lllenz is how we operationalize that, giving teams a structured environment to identify, design, assemble, validate, govern, deploy, and monitor AI agents across the full lifecycle, on top of the trusted data products Latttice produces.
Separately licensed. Lllenz requires Latttice. Customers may use Latttice without Lllenz.
lllenz · agent factory catalog
What we keep seeing
AI pilots are easy. Production-ready AI is the work.
In almost every engagement, we find the same pattern. Promising use cases exist, but delivery stalls in the space between strategy, data readiness, governance, and production. Business teams scope ideas in spreadsheets. Data teams prepare datasets in parallel. AI teams build prototypes. Governance arrives late. The result is fragmented delivery, unclear ownership, and agents that cannot move safely from prototype into the business. Lllenz is how we replace that pattern with a single, governed factory.
The Problem
Fragmented AI delivery
- AI ideas stall between teams and stages
- Governance is treated as a final-gate review
- Disconnected pilots have no repeatable model
- Data readiness and agent design become misaligned
- There is no common operating layer across business, data, AI, governance, risk, and technology teams
What Lllenz Delivers
A governed AI factory
- A managed AI factory process with clear lifecycle stages
- Governance embedded throughout the AI delivery lifecycle
- Integration with Latttice for AI-ready data products
- Approval, testing, deployment, and monitoring controls
- A scalable enterprise AI operating model
What it is
A repeatable operating model for enterprise AI agents.
Lllenz, the AI Factory, enables citizen development of AI agents using governed, business-led data products built in Latttice, the Data Product Workbench.
It provides the structured workflow, controls, data product integration and lifecycle management needed to move from isolated AI experiments to production-ready AI agents — safely and repeatedly.
In one sentence
Lllenz gives enterprises the application layer for discovering, designing, assembling, validating, deploying, and monitoring AI agents, with governance and trusted data built into every stage.
Capabilities
Core capabilities
Lllenz enables organizations to industrialize AI delivery through a guided, governed lifecycle, moving from disconnected AI ideas and isolated pilots to validated, production-ready AI agents.
Use Case Discovery and Prioritization
Capture and structure AI use cases consistently, including the business problem, target users, decision process, outcomes, risks, value hypothesis, and delivery priority.
- ·Business outcome and value driver
- ·Target process or decision point
- ·Risk and governance profile
- ·Delivery priority score
AI Agent Design
Guide the design of practical, outcome-oriented AI agents that operate within business workflows and support defined decisions.
- ·Agent objective and interaction model
- ·Decision logic and required APIs
- ·Human-in-the-loop requirements
- ·Escalation rules and success measures
Latttice Integration
Connect AI agents to trusted, governed, AI-ready data products from Latttice, creating a clear separation between raw enterprise data and the decision-ready data products used by agents.
- ·Governed data products with lineage
- ·AI readiness metrics and quality indicators
- ·Semantic context and policy enforcement
- ·Approved input and output ports
Governance and Control Integration
Embed governance from the start of the AI delivery lifecycle, not as a final review gate. Lllenz connects the AI build process to policies, risk controls, approvals, and auditability.
- ·AI risk classification and documentation
- ·Prompt and response controls
- ·Approval checkpoints and human oversight
- ·Production readiness and auditability
The lifecycle
Assemble. Validate. Deploy.
Lllenz structures AI delivery into controlled stages. Each stage has defined inputs, outputs, ownership, approval gates, and governance checks, transforming ad hoc AI development into a managed factory process.
Stage 01
Business Use Case
Stage 02
Governed Data Products
Stage 03
AI Agent Assembly
Stage 04
Governance Controls
Stage 05
Validation
Stage 06
Deployment
Stage 07
Monitoring
Stage 08
Continuous Improvement
Assemble
- ·Agent configuration
- ·Model selection
- ·Data product selection
- ·Semantic layer definition
- ·Governance control attachment
- ·Prompt and orchestration design
Validate
- ·Functional and prompt testing
- ·Data quality checks
- ·AI readiness checks
- ·Bias and risk review
- ·Governance compliance checks
- ·Human approval workflow
Deploy
- ·Development, test, and production promotion
- ·Deployment platform selection
- ·Release approval
- ·Runtime configuration
- ·Monitoring setup
- ·Rollback considerations
The ecosystem
How Lllenz, Latttice, and AI governance work together
Lllenz is designed to work as part of the Data Tiles delivery ecosystem. Together, Lllenz, Latttice, and AI governance tooling create a closed-loop AI delivery model, from business use case through to continuous improvement in production.
AI FACTORY
Lllenz
Manages the full AI agent lifecycle, from use case discovery and agent design through to assembly, validation, deployment, monitoring, and continuous improvement.
DATA PRODUCT WORKBENCH
Latttice
Provides the AI-ready data products that agents rely on. Governed, meaningful, reusable, trusted, and aligned to business decisions, with known quality, lineage, context, and purpose.
CONTROL LAYER
AI Governance
Provides the policies, controls, risk checks, approvals, and monitoring needed to ensure agents are safe, compliant, accountable, and ready for enterprise use.
Lllenz does not replace enterprise governance. It helps make governance operational inside the AI delivery lifecycle.
Lllenz agents access published Latttice data products through Latttice Connect. Data governance is controlled at the data-product level. Customers configure their agents' behavior, permissions, actions and AI governance. Data Tiles does not configure, operate or control customer agents.
Inside the product
Inside the Lllenz AI Factory
Lllenz gives teams a structured workspace to move AI agents from idea to controlled execution.
Describe Use Case → Review Blueprint
Generated agent blueprint
Purpose, inputs, decisions, and actions for the agent, captured in a structured, editable blueprint.
Assemble Agent
Assemble from trusted components
Compose agents from Latttice-sourced data products, tools, prompts, and policies, with business context derived alongside.
Apply Governance
Governance, embedded by default
Risk-tiered policies across access control, data restriction, and action approval, mandatory controls enforced automatically.
Industry Packs
20 industry packs, 100 AI agent templates
Outcome-led libraries of AI agent templates spanning Banking, Insurance, Government, Healthcare, Industrial, Aviation, and more.
Agent Catalog
Filter, search, and reuse
Browse blueprints by industry, tier, risk, and mode, accelerating reuse of approved agent patterns.
Context Engineering
Close the gaps before deployment
Detects missing entities, relationships, and invariants in business context, with one-click suggestions to apply.
Why it matters
Why Lllenz matters
Without a factory model, AI delivery becomes fragmented. Lllenz brings business, data, AI, governance, risk, and technology teams into one governed lifecycle, helping enterprises reduce delivery ambiguity, reuse approved patterns, connect agents to trusted data products, and move from individual experiments to a scalable AI operating model.
Build AI agents faster
A structured factory model removes ambiguity, accelerates delivery, and enables teams to reuse approved patterns, data products, and governance controls across multiple agents.
Reduce AI delivery risk
Governance is embedded from the first stage, not bolted on at the end. Every agent can move toward production with the right controls, approvals, documentation, and monitoring in place.
Create a repeatable operating model
Lllenz gives organizations the capability to scale from individual AI agents to an enterprise AI factory, moving safely and repeatedly from idea to production with clear business accountability.
Who it's for
Built for the teams turning AI into business value
Business teams
Capture AI use cases, define the business outcome, and make sure agents are aligned to real decision points.
Data teams
Connect agents to trusted, governed, AI-ready data products rather than unmanaged datasets.
AI and technology teams
Assemble, validate, and deploy agents through a repeatable lifecycle with clear controls and readiness checks.
Governance, risk, and compliance
Embed oversight, policies, approvals, and auditability throughout the AI delivery lifecycle.
Executives
Create a clearer path from AI strategy to governed execution, measurable value, and production-ready AI capability.
The differentiator
From AI experimentation to governed, production-ready AI agents.
Lllenz is the AI Factory that helps organizations move from AI experimentation to governed, production-ready AI agents. Integrated with Latttice for AI-ready data products and enterprise AI governance tooling for control and compliance, Lllenz provides the repeatable lifecycle enterprises need to discover, design, assemble, validate, deploy, and monitor AI agents, safely, rapidly, and with clear business accountability.
Get started
Ready to turn AI ambition into governed execution?
Start a conversation with Data Tiles about how Lllenz can help your organization build a repeatable AI factory operating model.