SlackInfor VISUAL Agent view

How to add Slack to Infor VISUAL

Short answer

Build a Slack app that reads Infor VISUAL data from its SQL database or API Toolkit, posts alerts to channels, and offers slash commands and approval buttons. Writes back to VISUAL should pass through a supported interface after a named user confirms.

Slack is less common than Teams in VISUAL shops, but it shows up in engineering-led and smaller companies, and in groups that run planning or customer support in Slack while VISUAL stays the system of record. The gap is the same: VISUAL data is locked behind a desktop client that planners and sales do not want to open for a quick question.

Slack apps are well suited to short interactions. A slash command can return the status of a work order, a button can approve an expedite, and a channel can collect alerts per department. All of that depends on a dependable way to read from VISUAL.

Because Slack is hosted in the cloud and VISUAL is often on a server in the plant, the key architectural choice is how the two reach each other without opening the plant network.

What teams use it for

Slash command for order status

Typing a command with a customer order number returns line status, promise date and shipped quantity from VISUAL.

Part availability check

Planners ask for a part ID and see on-hand, on-order and allocated quantities before promising a date.

Expedite request threads

A rush request opens a thread in the production channel with the work order, due date and customer, and approvers react with buttons.

Receiving alerts for shortages

When a receipt posts against a PO line that clears a shortage, the planning channel is notified with the affected work orders.

Daily on-time-delivery summary

A scheduled message summarizes shipments against promise dates for the previous day, with the late ones listed.

Infor VISUAL integration surface

  • VISUAL database: SQL Server (or Oracle on older installs) holds orders, purchasing, work orders, inventory transactions and shipping. Verify exact table and column names in your own version.
  • VISUAL API Toolkit: use it for supported writes such as notes or status changes where your version and license allow it.
  • Inventory and costing logic: some quantities, such as available-to-promise, depend on application logic, so compare database queries against what the VISUAL screens show before trusting them.
  • File-based paths: report exports to a share can drive Slack posts when database access is blocked by policy.
  • No native outbound events: change detection comes from polling on a modified date or from database-side triggers agreed with your DBA.

How it works

  1. 1

    Create the Slack app

    Define scopes for posting, slash commands and interactivity. Prefer Socket Mode when you cannot expose a public URL from the plant.

  2. 2

    Stand up the bridge service

    Run it on a server that can reach the VISUAL database. It receives Slack calls and sends queries, and returns formatted blocks.

  3. 3

    Whitelist queries

    Do not let a command run arbitrary SQL. Map each slash command to a fixed, parameterized query with its own limits.

  4. 4

    Map Slack users to VISUAL users

    Use the verified Slack email to find the VISUAL user and role, and refuse commands for anyone unmapped.

  5. 5

    Add interactive messages

    Use Block Kit buttons for approvals. Record the click, then perform the write, then update the message to show the outcome.

  6. 6

    Tune alert volume

    Start with a few high-value channels. Add thresholds and quiet hours before widening the set.

Example flows

Quick order lookup

Trigger: A salesperson types a slash command with a customer order number.

  1. The app verifies the Slack signature and the user mapping.
  2. A parameterized query reads header and line data.
  3. The service formats lines with ship dates and open quantities.
  4. The reply is shown only to the requester.

Result: The salesperson answers a customer without opening VISUAL.

Expedite approval

Trigger: A planner submits an expedite request in a Slack form.

  1. The service reads the work order and checks material availability.
  2. A message with the facts is posted to the approvers.
  3. A manager clicks Approve.
  4. The service adds a note through a supported interface and notifies the planner.

Result: The decision and its reason are visible in both Slack and VISUAL.

Keeping data on-prem

Keep the VISUAL database and the bridge service inside your network. With Slack Socket Mode the bridge opens an outbound connection to Slack, so you do not need an inbound firewall rule from the internet. Only the text you send into a channel leaves the plant, so choose what each message contains. If you want free-text questions answered, route them to a language model running on your own hardware and constrain it to the same whitelisted queries. This keeps part numbers, customers and pricing from reaching a public AI service. Where policy forbids cloud chat for export-controlled programs, simply exclude those programs from the app.

Security checklist

  • Verify every Slack request signature and rotate the signing secret.
  • Limit commands to read-only queries by default and put writes behind named approvers.
  • Never post cost, margin or controlled technical data into broad channels.
  • Restrict the app to specific channels and workspaces.
  • Keep database credentials in a secret store and use a read-only account for the bridge.

Ways to get it done

Slack workflow or no-code tool

Effort: Days

Fine for scheduled posts from a SQL query, and for simple forms that notify a channel.

Custom Slack app

Effort: A few weeks

Right for slash commands, approvals and a tight query whitelist, if you can support a small service.

Partner build with Netray

Effort: A few weeks for an initial scope

Helpful when you want natural-language questions answered by an on-prem model, with every answer tied to a visible query.

Pitfalls

  • !Letting a slash command accept free-form SQL or table names.
  • !Treating Slack email as proof of identity without verifying it.
  • !Showing sensitive cost data in a public channel.
  • !Quantities in Slack that disagree with the VISUAL screens because of different availability logic.
  • !Alert floods that train people to ignore the channel.

Frequently asked questions

Does Infor VISUAL have a Slack integration?

Not as a standard built-in feature that I know of. Availability varies by version and partner ecosystem. Most shops build a small Slack app over the VISUAL database or API Toolkit, or use a no-code tool to post query results on a schedule.

Can I avoid exposing my network?

Yes. Slack Socket Mode lets your bridge service open an outbound connection, so Slack does not need to reach into the plant. The VISUAL database stays on your internal network, and the bridge only sends the formatted text you choose to post.

How do approvals update VISUAL?

The bridge records the click, checks the user's role and limit, and then writes through a supported interface such as the API Toolkit. Direct table updates are risky because they can bypass VISUAL business rules and leave related records inconsistent.

Can Slack answer questions in plain language?

It can, with care. A language model can choose among approved queries, fill parameters and phrase the result. Running that model on your own server avoids sending part and customer data to a public API, and each answer can show the query used.

What if our VISUAL is old?

Older VISUAL versions often still have the SQL tables, so read-only lookups are possible. Writes may be harder if the API Toolkit is not licensed or is limited. In that case keep Slack read-only and let people confirm changes in the VISUAL client.

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