STEP 01
Detect
Myslio receives an event or finds a deviation across connected systems.
/ Myslio flagship product
Order Rescue: resolve order problems before they consume margin
One order crosses the storefront, payment provider, carrier, accounting and customer communication. Myslio turns those disconnected steps into a controlled case with a verified outcome.
Myslio Order Rescue is an operations layer for online stores that captures recurring order exceptions and manages them from the first signal to a verified result.
Not another order list. A workflow that closes the loop.
Conventional automation reacts to a simple condition. Order Rescue handles situations that require context from several systems, a policy decision, a controlled action and proof that the action actually happened.
Every issue becomes a Case containing its cause, relevant data, proposed action, decision history and outcome. An operator no longer has to reconstruct an order story from five screens and an email thread.
Where Order Rescue starts
- →A cancelled order may still be recoverable.
- →A parcel was not collected and the next intervention must happen in time.
- →Payment, refund, credit note and order status do not agree.
- →An operational problem repeats, but nobody measures its true margin impact.
/ A real Myslio Cockpit screen
/ Workflow
How a controlled Case works
STEP 02
Understand
It joins order, payment, shipping, documents and communication into one context.
STEP 03
Evaluate
It assesses the situation against context, policy, permissions and risk.
STEP 04
Execute
An authorised action runs through a controlled integration layer or goes for approval.
STEP 05
Verify
The connector confirms the real state in the target system, not only that a request was sent.
STEP 06
Measure
The Case closes with an outcome in money, time or error rate when the required data exists.
/ Reality check
Safety and capability reality
We start with one measurable workflow. We add another only when the first is stable and demonstrates value.
✓An agent has no unrestricted authority. Proposals pass through policy, permissions and, where risk requires it, human approval.
✓Every intervention has an audit trail and technical result confirmation.
✓The deployment scope depends on the APIs and data quality of the specific store.
/ Outcome
What should change after deployment
- →Less manual investigation across systems.
- →Faster exception resolution and fewer forgotten cases.
- →Controlled interventions instead of ungoverned scripts.
- →A measurable impact on time, revenue or margin.
/ FAQ
Frequently asked questions
Do we have to replace our store?+
No. Myslio Connected runs above the store you already use. A storefront migration is not required for the first deployment.
Is Order Rescue a chatbot?+
No. It is a governed operations workflow. AI may help interpret context, but policy, permissions and the command gateway control execution.
How is it different from Make, n8n or OMS rules?+
Those tools are excellent for deterministic connections. Order Rescue adds a Case, multi-system context, decision policy, audit, approval, verification and outcome measurement.
How do we select the first workflow?+
We map recurring losses and choose a problem with accessible data, a clear owner and a measurable outcome.
Related solutions and proof
Solution · Unclaimed Parcel Rescue
Unclaimed parcels: turn a recurring cost into a controlled rescue workflow
→Solution · Payment & Refund Rescue
Payments and refunds: make every mismatch traceable and safely resolved
→Case study · Client Zero
Planet Ayurveda: one operations layer across real multi-market commerce
→Find the first problem worth rescuing
We will map the order flow, systems and the points where time or margin currently leaks.
Map operational losses