One shared model. Every team, tool, and process stays aligned.
Most operational problems aren't caused by bad tools or bad people. They're caused by fragmented data — the same entity defined differently in three systems, the same status meaning different things to different teams. Core starts by solving that.
When everyone works from different data, nothing works together.
Your ERP has one version of a client record. Your CRM has another. Your ops team has a third — in a spreadsheet. When a process touches all three, someone has to reconcile them manually before anything can move forward.
This isn't just inefficient. It means automations can't trust the data they run on. AI can't reason reliably over it. And every new system you add makes the fragmentation slightly worse.
A shared operational data model isn't a technical luxury. It's the prerequisite for everything else working.
The foundation every process, workflow, and automation runs on.
Business entity model
Define the things your business actually works with — clients, orders, products, suppliers, contracts, assets — and how they relate. Once defined in Core, every process, workflow, and interface works from the same definitions.
Master data registries
A single authoritative record for every entity. No duplicates. No conflicting versions. One record that everything else points to.
Data policies & validation
Required fields, valid states, allowed transitions — enforced at the source. Bad data doesn't enter the system.
States & lifecycles
Quote → order → shipment, request → resolution. Define states once and every process knows where something is and what can happen next.
Shared definitions across systems
When Core connects to your ERP, CRM, or other tools, it maps their data to your Core model — not the other way around.
Get data right once. Everything else gets easier.
Workflows run reliably
Automations trust the data they act on.
Applications show the truth
Queues and dashboards reflect what's actually happening.
Integrations stay clean
New systems inherit your data model rather than creating a new silo.
AI works from solid ground
Clean, consistent, well-defined data — reliable AI outputs.
We model your business before we build anything else.
Every Inly engagement starts with data. Before we automate a process or build an interface, we map your business model in Core — entities, relationships, rules. Not a technical exercise — a business exercise.
It's the most leveraged work we do. Get the model right and every workflow, application, and integration that follows inherits the clarity.