Operations intelligence for ERP-heavy companies

Detect hidden data issues.See operational impact.Turn it into action.

FlowOps turns ERP and operational data issues into prioritised, actionable insights for operations teams.

  • MVP ready
  • 30-day pilot
  • B2B SaaS

FlowOps · Pilot Workspace

Operations Signals

Sorted by priority

SignalSeverityProcessNext actionOwner
Supplier delivery date is emptyHighProcurementComplete missing fieldsProcurement Lead
Stock and production records disagreeHighInventoryVerify the count differenceWarehouse Lead
Production order is not up to dateMediumProduction PlanningUpdate the statusPlanning Lead
Missing unit on product master dataLowMaster DataConfirm the unit definitionERP Lead
  • HighProcurement

    Supplier delivery date is empty

    Complete missing fields

  • HighInventory

    Stock and production records disagree

    Verify the count difference

  • MediumProduction Planning

    Production order is not up to date

    Update the status

  • LowMaster Data

    Missing unit on product master data

    Confirm the unit definition

Detect → See → Act

Illustrative interface. Actual output depends on the customer's data structure and the agreed pilot scope.

Problem

Your ERP data is showing the problem. Most teams notice it far too late.

The operational data is already there. What is missing is when the issue gets addressed, in which process, and by whom.

  • Silent data issues

    Missing values, inconsistent records, late updates and incorrect master data stay invisible until they surface in a report.

  • Manual checking

    Excel files, ERP exports and one-off analyses make control dependent on specific people and specific moments.

  • No clear action

    Existing reports show the data. They do not say what matters first, who owns it, or what happens next.

The FlowOps approach

Detect. See. Act.

FlowOps is a lightweight layer between ERP data and operational action. Not another dashboard - a workflow that determines the next step.

  1. 01DETECT

    Find data and process anomalies

    Data-quality checks, exception logic and rule signals surface deviations inside the agreed datasets.

    • Missing and inconsistent records
    • Late updates
    • Rule violations and exceptions
  2. 02SEE

    Make operational impact visible

    Every finding is mapped to severity, the affected process, likely business impact and the probable root area.

    • Severity level
    • Affected process area
    • Likely operational impact
  3. 03ACT

    Prioritise the next step

    Findings are ordered by priority, matched to a responsible role and turned into a list that can be followed up.

    • Priority order
    • Responsible role
    • Next action and follow-up

Workflow

From data to outcome

The path followed during a pilot. Scope stays limited to the agreed processes and datasets.

  1. 1

    Data Input

    ERP export, sample dataset or an agreed read-only connection.

  2. 2

    Rules & Signals

    Data-quality checks, exception logic, anomaly and rule signals.

  3. 3

    Impact Map

    Severity, process area and likely business impact.

  4. 4

    Action List

    Owner, priority, next action and follow-up.

  5. 5

    Outcome

    Pilot report and the decision on paid deployment.

Who it is for

For teams whose operations depend on data

FlowOps is built for teams that run an ERP but still check data quality by hand.

Manufacturing

ERP, inventory, production planning and supplier data inconsistencies.

Logistics & Distribution

Delivery, stock and operational flow exceptions.

ERP-heavy SMEs

Teams currently relying on reports and manual controls.

ERP Consultants / Integrators

An additional operations-intelligence layer for client deployments.

30-day pilot

Run FlowOps on your real operational data for 30 days.

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.

  1. 1

    Conversation

    We agree on one or two processes or datasets together.

  2. 2

    Data

    A sample export or an agreed read-only data connection.

  3. 3

    Pilot

    FlowOps analyses the agreed limited scope for 30 days.

  4. 4

    Final evaluation

    Findings, operational impact and recommended actions are reviewed together.

  5. 5

    Continue if valuable

    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

From dashboard to action.

FlowOps does not replace your existing tools. It connects the data they produce to prioritised action.

Current approach

  • ERP reports
  • Excel checks
  • BI dashboards
  • Manual review
  • Consultant support

With FlowOps

  • Automatic detection
  • Operational context
  • Prioritisation
  • Action ownership
  • Follow-up

Data approach

Pilot data stays inside the agreed scope.

ERP data is sensitive. Data access, scope and retention terms are therefore agreed before every pilot.

Data approach

  • Pilot scope is minimised to the datasets that are actually required.
  • Sample data, exports or read-only workflows can be discussed.
  • Data access and retention terms are agreed in writing before each pilot.
  • NDA and data-handling requirements can be evaluated before access.
  • Technical and security documentation is available on request.

Get in touch for our detailed data and security approach.

For investors

Building the operational intelligence layer for ERP-heavy SMEs.

  • MVP ready
  • Pilot-led GTM
  • Pre-seed

Commercial validation is now beginning. Investor materials are shared on request.

Team

The team building FlowOps

Product, commercial and operations are run by a single team.

About the team and company

Eren Can Dönertaş

CEO / Business

Customer conversations, pilot programmes and investor relations.

Koray Şenyüzlü

CTO / Product

Product architecture, detection logic and technical delivery.

Enes Kerem Göksu

Growth / Operations

Go-to-market, customer outreach and operational follow-up.

Start with a 30-day pilot.

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.