SO-1042 · Alder Supply
Stock confirmation neededThe order needs 24 units. The inventory record shows 18 available.
Next step Ask purchasing to confirm availability for the remaining 6.
Your AI tools. Answers from your business.
Get the answer. Know what to do next.
Find the orders that need attention. Walk into a customer call prepared. Get an answer from your internal documents. Stork connects your existing AI tools to the business data behind the question.
Custom integration services, starting with one workflow. We check your tools, data access, and permissions first.
See the answer you could get
Illustrative examples · fictional data, not client results
You ask
“Which orders need attention today?”
The answer
Two orders need a follow-up.
Alder Supply is waiting on stock. Cedar Works has stock allocated, but its pickup is not booked.
SO-1071 · Cedar Works
Pickup not bookedAll 12 units are allocated. There is no carrier booking in the shipment record.
Next step Ask fulfillment to arrange pickup before confirming dispatch.
Check the sample source records
Order system · SO-1042
Sample snapshot, 09:00: Alder Supply · 24 units required · awaiting stock.
Inventory · SKU-A
Sample snapshot, 09:00: 18 units available against the 24-unit requirement. No restock date recorded.
Fulfillment · SO-1071
Sample snapshot, 09:00: Cedar Works · 12 units allocated · carrier booking empty.
No order has been changed and no customer has been contacted.
You know which team to contact and what to ask.
You ask
“What should I know before calling Alder Supply?”
The answer
Discuss the order delay and the open support issue.
The account has an order waiting for stock and a replacement-part request that still needs confirmation.
Order SO-1042
6 units still neededThe order requires 24 units; 18 are available. A restock date has not been recorded.
Next step Get a stock update before promising a dispatch date.
Support ticket T-214
Replacement confirmation pendingThe customer has requested a replacement part. The ticket has no confirmed dispatch date.
Next step Check with support and include the status in your call.
Check the sample source records
Customer record · Alder Supply
Sample account: related order SO-1042 and open support ticket T-214.
Order and inventory · SO-1042
Sample snapshot, 09:00: 24 units required; 18 available; restock date unknown.
Support · T-214
Sample snapshot, 09:00: replacement-part request open; dispatch confirmation pending.
Unknown dates stay unknown. No outreach has been sent.
You enter the call with the issues worth discussing.
You ask
“Can I approve a return for an opened item?”
The answer
In this example, an opened item needs review first.
The sample returns procedure asks the support lead to check the condition before anyone promises a refund.
Gather the details
Follow the review procedureRecord the order number, reason for return, and photos of the item.
Next step Attach those details to the return request.
Get approval
Support lead review requiredAn opened item is not eligible for automatic approval under this sample policy.
Next step Route the request to the support lead before promising a refund.
Check the sample source records
Sample returns procedure · section 3
Fictional policy, version 2: opened items require condition review by the support lead. Collect the order number, reason, and photos.
Sample returns procedure · section 4
Fictional policy, version 2: record the approval before confirming the refund to the customer.
This is a fictional policy example. No return or refund has been approved.
You have the next steps and the policy behind them.
A sample of a custom integration, not a live AI tool. Your systems and permissions determine what is possible.
The change your team feels
From gathering information to deciding what to do.
The useful result is more than connected systems. It is an answer your team can check, with enough context to take the next step.
Today: gather the context yourself
- Open the order report, customer record, and stock system.
- Match the records and work out what changed.
- Copy the information into a chat and explain the context.
With an integration built for your workflow
- Ask the question in your supported AI tool.
- Review an answer built from the sources you are allowed to access.
- Check the supporting records and decide what to do next.
Built around the work you need to do
What your team gets out of it.
Operations
Know which order needs a call.
See the issue, the affected customer, and the follow-up together. Start with the exception instead of building another report.
Output: an exception list with next steps
Sales and service
Start the call with the whole picture.
Review open support issues and recent orders before speaking to the customer. Find the original record when a detail needs checking.
Output: a source-linked account briefing
Your whole team
Find the instruction and its source.
Ask how to handle a request and see the relevant internal guidance. Check the document instead of relying on an unsupported answer.
Output: a practical answer with a reference
Access by design
An answer you can check. Access you can define.
We design the integration around the records people need, the permissions they have, and the actions that require approval.
Define what is available
Choose the systems, records, and fields the integration can expose.
Respect who is asking
Design access around your identity setup and the permissions your systems can enforce.
Separate answers from actions
Start with read-only access where it fits. Define approval steps before enabling changes to business records.
Make behavior reviewable
Agree how source references, activity logs, and exceptions should work before building.
A practical first step
One workflow. A concrete first result.
Start with the answer your team needs. We work back to the data, tools, and controls required to produce it.
Show us the question
Bring a recurring question or manual lookup. We agree what a useful answer should include and who needs it.
Map the source records
We check your AI tool and the systems behind the answer, including permissions, missing data, and connection options.
Scope and test the workflow
We propose a focused build and acceptance checks. A first implementation is tested against the records and exceptions your team actually works with.
Related work
We build the connection to real work.
For a window and door contractor, Stork built a workflow that reads a measure sheet, validates its contents against a supplier catalogue, and passes the order into the supplier system, with a person reviewing ambiguity.
A related example of our AI and integration work. Your systems and workflow will determine the approach.
Before we talk
A few sensible questions.
Can we keep using our current AI tool?
That is the starting point. We check whether your tool, plan, and security setup support the connection you need before recommending an approach.
Does our data have to move to a new platform?
Not necessarily. Some integrations retrieve information from existing systems when it is needed; others need an index or processing layer. We explain what data moves, where it is processed, and the tradeoffs before building.
Can the AI update records as well as answer questions?
Where the systems support it, yes. We scope actions separately from reading data and agree validation, permissions, and human approvals first.
Do we need DataSafeHouse?
We can use DataSafeHouse where its governance capabilities fit the project. We assess your existing setup first and recommend the approach that suits your requirements.
Your first integration
What answer would make your team’s day easier?
Tell us what people keep looking up, which systems they open, and what you would like the result to look like. We will help work out a practical first integration.
What happens next
- We review the workflow and systems you describe.
- We arrange a conversation to check the fit and constraints.
- If there is a useful path forward, we propose the next step.