Convex
Manufacturing & industrial operations

Software for the workflows your ERP doesn't solve.

We help manufacturers connect systems, automate operational workflows and eliminate manual work between ERP, MES, WMS, machines and people.

Operational software · Integration · Automation · AI

ERP
MES
WMS
CRM
Machines
Operational workflow
The operational software gap

Your systems aren't necessarily the problem.

Manufacturers have invested in ERP, MES, WMS, automation and reporting. But the workflows that matter — an order, a shortage, a quality deviation, a delayed shipment — frequently cross those systems.

We build the software between them.

That means extending and connecting what you already run — not proposing another system to replace ERP or MES.

ERP
MES
WMS
CRM
Machines
Operational workflow
Today, that gap is often filled by
ExcelEmailPhoneCopy/pasteManual reportsApprovalsTribal knowledge
Follow the exception

Follow the exception.

ERP and MES systems are generally optimized around the defined process. Operational friction becomes visible when reality deviates from the plan.

  1. Customer order
  2. Planning
  3. Procurement
  4. Production
  5. Quality
  6. Warehouse
  7. Delivery
What if

Supplier delivery delayed.

One deviation from the plan. Here is what often happens next — without software that connects the dots.

  1. 01Planner notices the delay
  2. 02Checks ERP
  3. 03Checks inventory
  4. 04Contacts procurement
  5. 05Contacts the supplier
  6. 06Evaluates alternatives
  7. 07Changes the production plan
  8. 08Informs production
  9. 09Updates the customer
The expensive part of an operational process is often not the happy path. It's what happens when reality deviates from the plan.

What happens in your operation when something doesn't go according to plan? Tell us about it.

Where we help

Where operational friction becomes software opportunity.

Production exception management

Problem
Shortages, delays and conflicts often surface only once a machine stops or an order is already late.
Intervention
Detect deviations earlier and route the right information and actions to the right people.
Outcome
Fewer surprises on the shop floor, and faster recovery when they happen.

Order-to-production workflows

Problem
Customer orders, validation and production planning often move through disconnected, manual handoffs.
Intervention
Connect customer orders, validation, ERP and production planning into one workflow.
Outcome
Fewer planning errors and a shorter path from order to production start.

Supplier & procurement workflows

Problem
Supplier delays and their inventory impact are usually discovered one phone call at a time.
Intervention
Bring supplier status, delays, inventory implications and procurement actions into one workflow.
Outcome
Procurement decisions made on current information, not yesterday's.

Quality & traceability

Problem
Inspection data, deviations and corrective actions are scattered across paper, spreadsheets and disconnected systems.
Intervention
Connect inspection data, deviations, approvals, corrective actions and reporting.
Outcome
Traceable decisions and audit-ready records, without manual reassembly.

Operational reporting

Problem
Plant and operations managers spend hours assembling reports from exports before they can look at the numbers.
Intervention
Replace manually assembled spreadsheets and reports with connected operational information.
Outcome
Current, trustworthy numbers, available when decisions need to be made.

Legacy & system integration

Problem
ERP, MES, WMS, databases and custom applications don't talk to each other, so people do it by hand.
Intervention
Connect existing systems, APIs and databases without replacing what already works.
Outcome
Existing investments keep working — together.

AI-assisted operations

Problem
Understanding an exception means gathering context from several systems before anyone can decide what to do.
Intervention
Use AI to gather context, analyze exceptions and recommend — or, within permissions, execute — controlled actions.
Outcome
Faster, better-informed decisions, with a person still in control.
See how this works
AI in operations

AI is useful when it can improve an operational outcome.

Not when it's simply another chatbot.

  1. Detect
  2. Gather context
  3. Understand
  4. Recommend
  5. Human approves
  6. Execute
  7. Audit
Example — production shortage detected

The system gathers

  • ERP order
  • Inventory
  • Supplier status
  • Production schedule
Then it
  • Evaluates impact
  • Identifies possible alternatives
  • Recommends an action
  • Asks for approval where required
  • Executes permitted actions
  • Records what happened
Human-in-the-loopPermissionsAuditabilityObservabilityControlled executionIntegrates with existing systems
Before / after

An architectural change, not a marketing one.

The same operational workflow, with and without a connecting layer between systems.

Before
  1. ERP
  2. Excel
  3. Email
  4. Person
  5. Another system
  6. Manual report
After

ERP Convex operational layer MES / WMS / CRM / other systems

  • Workflow automation
  • Exception detection
  • Unified context
  • Approvals
  • Notifications
  • Decision support
  • Audit trail
How we engage

Start with one workflow.

Convex doesn't ask you to begin with a large transformation programme. We start with one workflow that creates disproportionate manual work, and prove value there first.

  1. 01

    Map

    Understand one problematic operational workflow: systems, people, data, manual steps, exceptions, delays and dependencies.

  2. 02

    Identify

    Find where software can create the highest operational leverage — prioritized by business impact, frequency, feasibility and effort.

  3. 03

    Pilot

    Build a focused solution around one high-value problem, integrated with your real systems and workflows.

  4. 04

    Expand

    Once proven, extend from one workflow to a department, a plant, and additional plants.

  1. Diagnostic
  2. Pilot
  3. Production
  4. Expansion
A focused starting point

Operational Workflow Diagnostic

Show us one operational workflow that creates disproportionate manual work. Convex works with operations and IT to understand:

  • How the process actually works
  • Which systems are involved
  • Where humans intervene
  • Where information is duplicated
  • Which exceptions create delays
  • Where automation could produce measurable value
Output — Operational Automation Map
  • Current workflow
  • Systems and dependencies
  • Major friction points
  • Automation opportunities
  • Recommended target architecture
  • Prioritized interventions
  • Proposed pilot
Why Convex

Complex operational problems need more than another application.

Convex is a boutique engineering consultancy, able to move from an ambiguous operational problem through discovery, architecture, implementation and production operation — with senior engineers involved throughout.

Enterprise architectureSoftware engineeringSystem integrationAI & automationProduct thinking

That includes production-grade systems, complex integration, modernization and observability — brought to bear on operations, not just customer-facing software.

Financial servicesBorder control & public sectorAutomotiveManufacturingRetailE-commerceMarketplacesData-intensive systems

Show us one workflow that shouldn't still work this way.

If an important operational process still depends on spreadsheets, email, manual reconciliation or people moving information between systems, we'd like to understand it.

Discuss an operational bottleneckhello@convex.consulting

30-minute exploratory conversation. No transformation programme. No generic AI pitch. Start with one real workflow.

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