Tool 01

Flowstate Atlas

Map a process. Get the engineering.

How the walkthrough works

DEMANDCONSTRAINTTAKTP1InputP2ProcessP3OutputWIPWIPPCE37%14 SECTIONS9/14

An engineer walks through 14 observation sections. The inference engine calculates efficiency, constraint signals, cost of loss, and generates the improvement plan automatically.

What the engine produces

Process Cycle Efficiency

VA time as % of total lead time

Capacity vs Demand Gap

Units of constraint headroom

Cost of Loss

Rand-quantified across 6 cost lanes

Improvement Plan

Prioritised matrix with ROI per action

Tracking

Log key metrics per shift. Dashboards show trends, targets vs actuals, and whether improvements are holding.

Analysis layer

Every figure shows its formula, inputs, and confidence rating. An AI layer generates diagnostic narratives, root cause analysis, and an executive briefing. A chat interface answers questions about the specific process.

NO AI ESTIMATES. ENGINEERING FORMULAS ONLY.

Tool 02

Automated Data Collection & Live Monitoring

See your factory in real time.

Data pipeline architecture

MACHINESGATEWAYCLOUDDASHBOARDSPLCSCADASENSORERPEDGEGATEWAYSECURESTORAGELIVEOPERATORINPUT

Sensors, PLCs, SCADA and ERP feed a single normalised data store. Operators add downtime reasons via tablet. All streams converge in live dashboards.

Dashboard views

OEE

Availability × Performance × Quality

Downtime Pareto

Ranked by total loss time

Output vs Target

Shift-by-shift actuals vs plan

Maintenance Signals

Performance trend alerts

Why it matters

The data collected here does two things: it validates what the Process Mapper identified during the walkthrough, and it tracks whether improvement projects are holding across shifts over time. You own the data. The system is built to remain usable after handover.

Tool 03

On-Site Engineering

The work the tools can't do remotely.

Improvement project structure

OUTPUTINTERVENTION+72% OUTPUTBEFOREAFTERBASELINE

Every project is baselined before any change. Improvement is implemented on the floor and measured in the same data system. The Process Mapper is updated to reflect the new operating state.

What a project looks like

01

Baseline captured

Before any change is made

02

Root cause confirmed

Machine data, not assumption

03

Improvement implemented

On the floor by a Flowstate engineer

04

Before/after measured

In the same data system

05

Process map updated

New operating state becomes the baseline

Services

Guided Process Mapping

A trained Flowstate engineer conducts the Process Mapper walkthrough on your behalf, ensuring the diagnostic is captured accurately and completely.

Data System Installation

Sensors wired, edge gateways configured, dashboards set up at the measurement points the Process Mapper identified.

Improvement Projects

Structured engineering methods applied to the confirmed constraint. Framework chosen by what the data shows.