Qlerify LiveEnterprise AI for end-to-end flows

Turn orders into revenue faster

One live view of every order, across the systems you already run

See where orders wait in the handoffs between steps

AI ranks what to do next, and a person approves the action

Set up in five workshop sessions, on top of your systems

Customer order flow
Cases
124
Median lead time
98d
P85 lead time
170d
Aging
11
BOM frozen
118 / 124
9 waiting
Engineering release approved
109 / 124
Build plan locked
89 / 124
17 waiting
Material ordered
112 / 124
6 waiting
ETA confirmed
106 / 124
Pattern found by AI
One ETA slip, seventeen stuck builds
All 17 builds waiting at Build plan locked trace back to one part whose ETA slipped six weeks. The engineering change for the replacement part is still unapproved, so the design can't freeze and the release can't be signed.
Escalate the change
Open the 17 builds
Qlerify reviews and rating on G2
Qlerify is used by teams at
Elon GroupWebkingUHRHonkajokiVaimoImprovingLIFIntersoliaGL HomesBolagerietWin AssistGRK
European company, based in Sweden
Runs in your own environment
A person approves every AI action
Works with any system that has a connector
The problem

Orders stall at handoffs

Companies use AI in isolated steps, but orders still get stuck waiting for decisions. Qlerify Live connects systems into a single live digital twin, so AI can see where orders wait and recommend the next step.

Resource thinking

Keep every team busy
Use AI in isolated steps
Measure utilization

Flow thinking

Keep every order moving
Use AI across the whole flow
Measure lead time
Live digital twin

Follow every order from demand to delivery

A live digital twin connects to systems like planning, PLM, ERP, and logistics, tracing data across them to track an order from demand to delivery.

Live status for every case, and where work is stuck, slow or waiting

Median and P85 lead time, end to end

Aging cases flagged when they pass a step's usual pace

Sensor Hub Mini, 18 units
Traced from: customer demand
Demand registered
Planning
Done
Design frozen
PLM
Done
Build quantity defined
Planning
Waiting 17 days
Material ordered
ERP
Not started
Build plan locked
Planning
Not started
17 days at this step is 3.8 times its usual pace. Material ordering can't start until the build quantity is set.

Intelligent action recommendations

With the full flow in view, AI prioritizes what needs attention. Each case includes a recommended action and wait time. A person reviews and approves the recommendation in the relevant system.

Top things to do now
Illustrative example
One build-quantity case is far past its usual pace and blocks material ordering for everything after it.
Case
Impact
Recommended action
Waiting
Sensor Hub Mini, 18 units
Planner, step 3 of 9
High
Blocks material ordering and everything after it. The order is due 2 Oct and already at risk.
Define the build quantity so material ordering can start.
17 days
3.8× usual pace
Review and record
Gateway Pro 300, 32 units
Customer, step 9 of 9
High
The last step is unconfirmed on the largest order, so revenue and case closure are on hold.
Confirm delivery with the customer to close the case.
7 days
2.3× usual pace
Review and record
Sensor Hub, 28 units
Production operator, step 8 of 9
Medium
Delays the second-largest order from entering production. Still recoverable if it starts soon.
Start production.
6 days
Review and record

What to automate

The twin identifies repetitive manual steps and flags which an agent could handle.

What to improve

Patterns across cases reveal process bottlenecks, such as one supplier delay holding up multiple builds.

What to do next

AI prepares the next action for each waiting case, and a person approves it. Later, agents can run specific steps within guardrails you set.

Customer story

A global hardware manufacturer now acts on bottlenecks before they delay deliveries.

The company builds and sells modular hardware worldwide. Each order moves through planning, PLM, ERP, manufacturing, and logistics, with Excel and email filling the gaps. Teams spent hours in status meetings, while missed regulatory requirements blocked deliveries to some markets.

Estimated impact

10-20%

shorter median lead time, order to delivery

20-40%

less time to resolve blocked orders

5-15%

higher throughput with the same capacity

Before

The COO had to visit every station for updates. Bottlenecks surfaced only after delays began.

Now

Leaders act on identified bottlenecks in their systems, with AI preparing the next step. Regulatory deadlines surface early enough to act.

Works with your existing systems

Qlerify Live works with any system that can integrate: ERP, PLM, MES, QMS, CRM and older in-house platforms.

Track every case from demand to delivery, across teams and systems.

Steps that happen in email, Excel or meetings become visible, so they can be improved or automated

No connector yet? We build it with your IT team

PLM
Products and BOMs
BOM frozen
ERP
Orders and materials
Material ordered
Manufacturing
Builds and tests
Units built
Logistics
Shipments
Delivered
One case, followed from demand to delivery
Steps no system records
Email
Excel
Meetings
Security and data

Your data stays under your control

Choose where Qlerify Live runs and where your data is stored.

Hosted where you need it

Run Qlerify Live in your own environment, hosted within the EU or wherever your regulations require.

A European company

Qlerify is based in Sweden and operates under GDPR and EU regulations.

People approve AI actions

A person reviews and approves every AI action before it reaches your systems.

Getting started

Live on one critical flow in five sessions

Start with the flow where orders wait the longest. Bring its process owner, the people who know the work and one IT contact.

Session 1

Map the flow

Your people map the real flow, rules, roles and exceptions in an Event Storming workshop.

Sessions 2–3

Connect systems

With your IT team, we connect the systems where the work happens.

Session 4

See it live

Every real case, rebuilt from your system data, with lead times, bottlenecks and data gaps.

Session 5

Put AI to work

Copilots and agents get the context, rules and allowed actions to move work through the flow, within guardrails.

What you buy

After the sessions, a Qlerify Live license covers each flow: the live view, its connectors and the AI actions. Add more flows yourself or with us.

Not a months-long platform build

Your own people build the model in a workshop, on top of your systems. The live view, task routing, AI actions and guardrails all come from that model.

Who's behind it

Hundreds of teams worldwide already use Qlerify to map their processes.

FAQ

Frequently asked questions

What is Qlerify Live?

Qlerify Live is a digital twin of your core business flows, such as orders, engineering changes, and supplier onboarding across multiple systems and teams. It shows where work waits and for how long. AI recommends the next action. Deploy on-premises or in the cloud  to improve decisions and end-to-end flow.

Who is it for?

Qlerify Live is for organizations where work moves across multiple teams and systems. It helps operations leaders and process owners see where cases stall and improve flow from start to finish.

How is it different from a BI dashboard?

A dashboard reports numbers from one or two systems. Qlerify Live follows each order or case from step to step across all your systems. It shows which step every case is waiting at, why, and what to do next.

How is it different from process mining?

Process mining analyses system logs, usually with a data team, to show how a process ran. Qlerify Live starts from a model your own people build in a workshop. It also covers steps no system records, like approvals by email or tracking in Excel. And it acts on cases that are open right now, recommending and preparing the next step.

How is it different from planning and simulation tools?

Simulation tools model what could happen if a supplier fails or a route closes, often using estimates. Qlerify Live works from what is actually happening. It reads real cases from your systems, so the lead times and waiting times are measured, not assumed.

Which systems does it work with?

Any system that has a connector, including ERP, PLM, MES, QMS, CRM and older in-house platforms. If a connector does not exist yet, we build it with your IT team.

What about work that happens in email, Excel or meetings?

Those steps are part of the model your people build in the first session. Qlerify Live shows them in the flow, so you can see them and decide whether to improve or automate them.

Does the AI make changes in our systems on its own?

No. AI ranks cases by impact and prepares the next action, and a person reviews and approves it. Later you can let agents carry out specific steps, within guardrails you set.

Where is our data stored?

In your own environment, or in our cloud platform hosted in the EU.

How much time does it take from our people?

Bring a process owner, the people who know the work, and one IT contact. We pace the sessions to suit your teams.

How soon will we see results?

In session 4 you see every real case in the flow, its lead time, and the steps where work piles up, all built from your own data.

What does it cost?

You pay for the five workshop sessions and a per flow license. Contact us for a quote.

Can we add more flows later?

Yes. You can add flows yourself or with our support.

Start taking control of your processes

Book a demo and see Qlerify Live work on your own processes.