From decision intelligence to decision operations.
Built on decades of enterprise yield optimization, XEM showed which actions to take. XEM Actus carries them out.
See the whole enterprise, now and next.
Turn data chaos into a unified signal
Bad data is normal. The goal is finding the signal, not fixing every data problem. XEM Actus ingests structured and unstructured data from internal, external, generative, and synthetic sources and maps it to an enterprise model without heavy manual cleansing.
Predictive digital twin
Move decisions from last month to now and next. One continuously updated model covers consumers, employees, B2B buyers, suppliers, distribution centers, stores, products, and critical parts, configured in weeks, not years, and delivered as a Predictive Common Operating Picture.
Human judgment at machine speed.
Spot
Identify an opportunity or risk at a high-yield boundary.
Recommend
Propose a specific, quantified action.
Approve
Route it to the accountable decision maker. Approval is a design principle, not a limitation.
Execute
Coordinate execution across connected systems, in minutes instead of weeks.
The anatomy of DecisionOps.
LLMs handle language and interaction. Large Quantitative Models (LQMs) handle prediction, optimization, and decisions. XEM Actus is agentic on top and quantitative underneath, with a gateway to the public and private AI assistants you already use.
Interaction Layer
XEM Actus Portal, Actus Agent, Partner Agent, and Customer Agent, each with defined roles and permissions.
Bring Your Own Chat Bot
An external LLM gateway links public and private language models to the quantitative engine.
Conscious Layer
Optimization goals and workflows from preconfigured libraries, tailored to your enterprise.
Subconscious Layer
An LQM foundation that continuously finds patterns, predicts, and optimizes.
Your Assets Stay Put
Data, metadata, models, and agentic memory stay in place. No migration, no rebuild.
Don't build an AI.
No new infrastructure
Connects to ERP, CRM, SCM, and your existing systems of record.
No data preparation
Works with the data you have, as it is.
No data science team required
Agentically configured to map your enterprise and find high-yield opportunities.
Three ways to deploy.
Preview
Start free using public data. An input brief yields execution workflows for key use cases.
On Demand
One use case at a time. An eight-week activation on a private instance, including a DecisionOps Assessment. You own your data and outputs.
Enterprise Outcomes
Tiered enterprise pricing, wider scope, and optional Pay-for-Value partnerships.
The eight-week implementation
Weeks 1–3
Assess data, map the enterprise, connect existing systems.
Weeks 4–6
Build the digital twin and the first Predictive Common Operating Picture.
Weeks 7–8
Surface recommendations at the highest-yield boundaries.
Measured before you begin.
A yield baseline is set before deployment. Yield improvement is a measurement, not a projection, tracked continuously from the first operating cycle.
Commercial
Demand signals aligned across marketing, supply chain, operations, and sales, with measurable growth, margin, and productivity gains.
Public Service
Cross-agency data connected without system replacement, with service improvements from existing budgets.
Defense & National Security
Less decision latency across sustainment, procurement, and readiness, with earlier risk detection.
Common questions.
What is XEM?
r4's DecisionOps engine for Cross Enterprise Management, linking every function to a predictive digital twin. XEM Actus is its agentic generation.
What is XEM Actus?
It recommends actions at high-yield boundaries, routes them for approval, and federates execution after approval, with humans in control.
What is an LQM?
A Large Quantitative Model, built for the numerical, temporal, and operational complexity of enterprise decisions. LLMs generate text; LQMs decide.
What is a predictive digital twin?
A simulation of your enterprise ecosystem linking internal operations to external demand and risk, delivered as a Predictive Common Operating Picture.
How does it deploy?
An eight-week implementation on top of existing systems such as ERP, CRM, and SCM. No rip-and-replace, no migration.
What are your empty seats?
A DecisionOps Assessment shows you where yield is hiding.
- A yield baseline from your own data before deployment
- The highest-yield boundaries to connect first
- An eight-week implementation path on your existing systems