Enterprise AI Operating Layer

Turn enterprise knowledge
into action.

AI agents that understand your business, connect to your systems, and get work done — through one governed layer for knowledge, data, APIs, and workflows.

No-code configurationGoverned executionMeasurable outcomes
Why Logos AI

Enterprise intelligence needs more than prompts and tools.

Lattice-Logos gives agents the context, semantics, governed capabilities, and measurement layer required to work inside a real enterprise.

01Discovery

Understand your enterprise

Discover APIs, data models, systems, and business metadata, then organize fragmented software into an enterprise capability map.

An agent can only act on capabilities it can understand.
02Semantics

Speak your business language

Map terms such as revenue, net sales, and sales_amount to certified metrics, lineage, and the right enterprise data.

Models should use governed meaning, not guess your fields.
03Runtime

Turn systems into capabilities

Transform raw operations into reusable business capabilities with permissions, approvals, policies, and complete execution traces.

Tools connect APIs. Logos AI understands capabilities.
04Value

Prove business impact

Measure each execution against a human baseline: time saved, manual steps removed, workflow speed, quality, and cost.

Know what AI delivered — and what it was worth.
The Logos AI difference
KnowledgeSemanticsCapabilitiesAgentsGovernanceValue
Enterprise AI Operating Layer
Inside the platform

Configure it. Watch it run. Start from best practice.

Three surfaces, one platform. Switch tabs to see how teams actually work in Lattice-Logos.

Product interface preview · Illustrative data

Everything is a configuration, not a codebase.

Drag nodes onto the canvas, wire them together, and set behavior in the properties panel. Contract validation checks every connection before you deploy.

  • Visual multi-agent canvas with conditional routing
  • Node-level properties: model, temperature, prompts, tools
  • Input / output contract validation on save
  • Versioned pipelines with one-click rollback
workspace / demo-pipeline · v2.3.1DRAFT SAVED
Node palette
Model
Router
Knowledge
Tool
Guard
INPUTRequest
ROUTERPlan & route
KNOWLEDGERetrieve context
TOOLRun action
OUTPUTRespond
Properties · Retrieve context
source kb://industry-v4
top_k 8
rerank enabled
timeout 3000ms
fallback route:guard
✓ Contract valid — ready to deploy
From intent to impact

From a business goal to governed action.

Every request moves through the same auditable execution loop — grounded in enterprise context, controlled by policy, and measured by outcome.

01

Ask

Understand the business goal, intent, entities, and operating context behind the request.

02

Ground

Connect the request to governed enterprise knowledge, semantics, and live data.

03

Plan

Build an execution plan and select the right agents, models, and capabilities.

04

Act

Invoke enterprise capabilities across systems with permissions and approvals enforced.

05

Verify

Validate outputs, policies, contracts, and execution state before work is finalized.

06

Learn

Measure impact, retain business memory, and improve the next execution.

Platform capabilities

Everything between raw data and a working agent.

Data

Data integration

Connect databases, APIs, files, and business systems through configurable connectors and a growing tool ecosystem.

Knowledge

Knowledge base construction

Build and govern two layers of knowledge: industry best practice plus your private enterprise layer.

Orchestration

Multi-agent pipelines

Compose agents, routers, models, and tools on a visual canvas with conditional routing and fallbacks.

Tenancy

Multi-tenant platform

One deployment serves every team and customer — identity, data, and pipelines isolated per workspace.

Observability

Monitoring & traceability

Live dashboards, step-level traces, replayable runs, and alerting on cost, latency, and quality.

Models

Model flexibility

Route each task to the right model — frontier, regional, or private — by sensitivity and complexity.

Where it works

Standardized product. Industry-deep knowledge.

Flagship

Manufacturing

Production analytics, quality root-cause, equipment knowledge, and cost intelligence — grounded in plant-floor reality.

Vertical

Financial services

Governed metrics, cost allocation, and regulatory knowledge with strict tenant isolation.

Vertical

Energy & utilities

Asset knowledge and operational analytics across distributed infrastructure.

Vertical

Logistics

Network optimization and exception handling informed by operational best practice.

Trust & governance

Enterprise-grade by architecture, not by add-on.

Isolation

Tenant boundaries at every layer

Identity, data, knowledge, and pipelines are isolated per workspace. No tenant ever sees another's context.

Credentials

Secrets injected, never exposed

Connections use managed credential injection — agents receive access, not passwords.

Traceability

Every run tells its full story

Each execution records inputs, routing decisions, tool calls, and outputs — replayable end to end.

Resilience

Failures contained by design

Circuit breakers, fallback routes, and contract validation keep one failing node from becoming an outage.

Get started

Move from AI answers to business action.

Bring one real workflow. In 30 minutes, we will map its knowledge, systems, approvals, and measurable business outcome.