Model how your business runs
Konekti turns fragmented operational data into a reusable process model so your teams can understand, analyze, and act on how work actually moves across the business.
Your business logic is trapped between systems
Enterprise systems each store their own slice of the work. Sales holds the customer request. Operations holds fulfilment. Finance holds invoices and payments.
The business question crosses all of them, but nothing in your data layer connects the pieces. That context lives in people's heads, old queries, and undocumented rules.
Every analysis question requires joining data across systems, reconstructing event sequences from timestamps, and rebuilding the same operational logic from scratch. There is no shared representation of how operations work. Every new question starts from raw data.
Give every team the same trusted view of how work happens
Process Graph gives your team a single place to define how work happens across the business. You model the objects, activities, and relationships that make up your operations once. That model is validated, deployed, and reused across every tool and team that needs to understand your operations.
5×
faster insights
than traditional approaches
3×
less effort
with agentic support and structured workflows
Model your operations in days, not quarters
From fragmented data to trusted process intelligence
Define
Model the objects, activities, and relationships behind your operations. Orders, cases, claims, assets. What happens to them, when, and in what sequence. How they connect across systems.
From the same underlying model, different teams define focused process views. Finance looks at invoice delays. Operations looks at fulfilment bottlenecks. Service looks at SLA breaches. Each team gets the view it needs. The logic stays consistent.
Validate
A process model is only useful if it matches reality. Process Graph lets you test the model against real records before any dashboard, AI answer, or business decision depends on it.
| What teams check | Why it matters |
|---|---|
| Scope | Confirms the right records are included |
| Sequence | Confirms events appear in the right order |
| Data quality | Surfaces bad timestamps, duplicate IDs, missing links |
Extend
Operational questions change. A team investigating order delays eventually needs to understand invoice impact. A service team looking at SLA breaches wants to monitor repeat exceptions next.
With Process Graph, new questions become extensions of the existing model, not new data projects. Each improvement is reusable. Each addition makes the next question faster to answer.
Use
Process Graph generates optimised, executable code from the model and runs it in your data platform. The same validated model then feeds:
- K-AI — on-demand answers to operational questions
- BI and monitoring tools — dashboards and alerts built on consistent logic
- Process intelligence tools — deep-dive analysis with leading platforms
- AI and automation tools — workflows grounded in actual operational context
Three layers. One unified model.
The Konekti model is built as three distinct but connected layers. Data assets form the foundation. Process logic defines how work flows. Business rules scope that logic to specific cases and criteria.
Business Rules
Applied to the process
Filters and criteria that scope a process to specific cases. K-AI operates at this layer.
Process Logic
A slice of the data assets
A workflow scoped to a leading object — how work flows through the data for a given process.
Data Assets
The foundation layer
Connected business objects and activities forming a unified, reusable event store.
Built for trust
Process Graph is designed for technical teams that need to verify a solution before recommending it. You can see where the data comes from, how records and events are connected, and what logic is generated. The assumptions are visible, the output is testable, and the model can be challenged at any point.
Nothing has to be accepted on faith.
Runs inside your environment
Process Graph sits on top of your existing data layer. Your operational data stays where it is. Access, permissions, and execution remain under your control.
Data
Operational data remains in your environment.
Execution
Logic runs in your data platform using SQL or Spark.
Control
Existing access and permissions stay in place.
Costs
Full visibility and control over infrastructure costs.
See how Konekti turns fragmented data into trusted process intelligence
We show how Process Graph connects the systems, records, events, and rules behind a real operational problem. You see how the model is built, how it is validated, and how the same structure supports analytics, AI, and monitoring.
Book a demo