APPLIED AI
Your AI Lab.
Built Inside Your Business.
We stand up an applied AI lab inside your company, run it with your people, and hand it over. The lab connects to the business systems you already run and ships into production, in whichever functions are carrying the most repeatable work.
THE MODEL
How the Lab Works
We stand the lab up inside your boundary, find the work worth doing, ship it into production, and leave your team running it.
Stand Up
Weeks 1 to 4
We build the lab inside your boundary. Secure model access, connectors into the business systems you already run, guardrails, access control, and an evaluation harness so quality is measured and not assumed. Your data stays yours.
Find the Work
Use case discovery
We map your value streams and score each candidate use case on value and feasibility. What comes out is a ranked, costed backlog with named owners and a first build already in motion.
Build and Ship
Weeks, not quarters
Agents, applications, and automations built against your real systems and your real data, shipped into production with the people who use them. Each build is instrumented so you can see what it returns.
Hand Over
Your lab, your people
Your team takes it over. We train them, leave the playbooks and the platform behind, and scale down as your capability scales up. What you are left with is a working AI function your own people run.
WHERE IT GETS APPLIED
Where a Lab Does the Work
Applied AI means AI applied to the systems that already run your business. These are the domains a lab works in, and they carry across industries.
HOW WE BUILD
People, Process, Technology, Data
Whatever the lab ships, it ships across all four. An agent nobody adopts, or one sitting on a broken data model, will not hold up in production.
People & Personas
01What the lab builds is built for somebody specific. Automation takes the repetitive work so your people spend their judgment where it counts. Adoption is designed in from the first sprint rather than chased afterward.
Process
02We design against the process as it runs today rather than as it is documented. Duplicated work is removed, approvals move, and a cycle that took weeks takes days. Our view is that the process has to be right before it is worth automating.
Technology
03Connected systems rather than another point solution on the pile. The lab plugs into the ERP, CRM, PLM, and data platform you already run, and everything it builds is instrumented and evaluated before it ships.
Data
04The data model comes first. Governed movement between systems, access control enforced at the data layer, and anomaly detection running continuously. In our experience this is where programs run into trouble months later.
THE HEAD START
Applications We Have Already Built
These came out of our own lab, running against live enterprise systems. A client lab inherits them on day one: deploy as-is, extend to fit, or use as the pattern for something new.
Proposal to Cash & CLM
Early AccessContract lifecycle management from bid to billing. Close the loop on the money.
Tessaract XPM (Cross-Functional Planning)
AvailablePPM, resource planning, supply chain planning, and manufacturing planning in one cross-functional module.
Integrated Master Scheduling (IMS)
AvailableMulti-schedule support per project. Directly linked to your ERP and cost management solutions.
Material Management & Material Costing
In DevelopmentPrice it right. Track it tighter.
Labor Management
In DevelopmentHours accounted. Rates defensible.
Supply Chain Management
In DevelopmentVisibility from vendor to delivery.
ERP Technical Accelerators
AvailableModernize faster. Migrate smarter.
Process, System & Data Architecture Tool Suite
AvailableDesign the architecture before you build the solution.
Solution Training Accelerators
AvailableGet teams up to speed faster.
S/4HANA Implementation AI Agents
AvailableAI agents that accelerate S/4 implementations.
AI Data Migration Toolset
In DevelopmentMigrate data between platforms with AI validation at each step.
AI Code Migration
In DevelopmentMigrate code between platforms with AI.
WHO WE WORK WITH
The Model Is Industry Neutral
The lab model does not change by industry. What changes is the vocabulary, the systems, and the regulations it has to respect.
A SEPARATE PRACTICE
Aerospace, Defense & Government Contracting
This is where we proved the model, in a heavily regulated environment. FAR and DFARS, CAS, DCAA, EVMS, ITAR, and CMMC shape what a lab is permitted to build in this sector. That practice has its own section, its own accelerators, and its own compliance posture.
APPLIED TO YOUR SYSTEMS
The Lab Connects to What You Already Run
Applied AI has to reach the system of record to be worth anything. Stand-up includes the connectors, and you do not have to replace anything first.
ERP
SAP S/4HANA and ECC, Oracle, NetSuite, Dynamics 365, Infor
CRM & Revenue
Salesforce, Dynamics, HubSpot, CPQ and CLM platforms
HCM & Workforce
Workday, SuccessFactors, UKG, Paylocity, ADP
PLM & Engineering
Teamcenter, Windchill, SAP PLM, Jira, Git platforms
Service & ITSM
ServiceNow, Zendesk, Jira Service Management
Data & Analytics
Snowflake, Databricks, BigQuery, Power BI, SAP BW
Your data stays inside your boundary. Where a regulated environment is required, we host it.
Built by the team behind Revelation Technologies
Stand Up Your AI Lab
Start with a conversation about where AI would change something in your business. If our view is that there is no case worth building yet, we will say so.
Want to see what we have already built? Create a free account for walkthroughs and demos.