Eren Can Dönertaş
CEO / Business
Customer conversations, pilot programmes and investor relations.
Operations intelligence for ERP-heavy companies
FlowOps turns ERP and operational data issues into prioritised, actionable insights for operations teams.
FlowOps · Pilot Workspace
Operations Signals
Sorted by priority
| Signal | Severity | Process | Next action | Owner |
|---|---|---|---|---|
| Supplier delivery date is empty | High | Procurement | Complete missing fields | Procurement Lead |
| Stock and production records disagree | High | Inventory | Verify the count difference | Warehouse Lead |
| Production order is not up to date | Medium | Production Planning | Update the status | Planning Lead |
| Missing unit on product master data | Low | Master Data | Confirm the unit definition | ERP Lead |
Supplier delivery date is empty
Complete missing fields
Stock and production records disagree
Verify the count difference
Production order is not up to date
Update the status
Missing unit on product master data
Confirm the unit definition
Detect → See → Act
Problem
The operational data is already there. What is missing is when the issue gets addressed, in which process, and by whom.
Missing values, inconsistent records, late updates and incorrect master data stay invisible until they surface in a report.
Excel files, ERP exports and one-off analyses make control dependent on specific people and specific moments.
Existing reports show the data. They do not say what matters first, who owns it, or what happens next.
The FlowOps approach
FlowOps is a lightweight layer between ERP data and operational action. Not another dashboard - a workflow that determines the next step.
Data-quality checks, exception logic and rule signals surface deviations inside the agreed datasets.
Every finding is mapped to severity, the affected process, likely business impact and the probable root area.
Findings are ordered by priority, matched to a responsible role and turned into a list that can be followed up.
Workflow
The path followed during a pilot. Scope stays limited to the agreed processes and datasets.
ERP export, sample dataset or an agreed read-only connection.
Data-quality checks, exception logic, anomaly and rule signals.
Severity, process area and likely business impact.
Owner, priority, next action and follow-up.
Pilot report and the decision on paid deployment.
Who it is for
FlowOps is built for teams that run an ERP but still check data quality by hand.
ERP, inventory, production planning and supplier data inconsistencies.
Delivery, stock and operational flow exceptions.
Teams currently relying on reports and manual controls.
An additional operations-intelligence layer for client deployments.
30-day pilot
The pilot is limited to one or two agreed processes or datasets. The goal is concrete findings you can discuss, quickly.
A demo, technical documentation and a detailed product walkthrough can be provided on request.
We agree on one or two processes or datasets together.
A sample export or an agreed read-only data connection.
FlowOps analyses the agreed limited scope for 30 days.
Findings, operational impact and recommended actions are reviewed together.
If the product delivers value, we discuss paid continuation. If not, there is no commitment.
The pilot does not include unlimited customisation. It is limited to one or two processes or datasets.
Why FlowOps
FlowOps does not replace your existing tools. It connects the data they produce to prioritised action.
Data approach
ERP data is sensitive. Data access, scope and retention terms are therefore agreed before every pilot.
Get in touch for our detailed data and security approach.
For investors
Commercial validation is now beginning. Investor materials are shared on request.
Team
Product, commercial and operations are run by a single team.
CEO / Business
Customer conversations, pilot programmes and investor relations.
CTO / Product
Product architecture, detection logic and technical delivery.
Growth / Operations
Go-to-market, customer outreach and operational follow-up.
Pick one or two processes, define the data together, and review concrete findings after 30 days.
A demo, technical documentation and a detailed product walkthrough can be provided on request.