Skip to content

Messaging integration

Team Messaging Integration

Teams live in Microsoft Teams or Slack, but the systems that know when something needs attention don't post there. We connect those systems to your chat tool, so approvals, alerts and daily summaries arrive where people will see them.

A retail coordinator checking a customer message on a phone beside a packaged online order, organized fulfillment corner.

Practical examples for your business.

01

Approvals in chat

Approval requests post to the approver in chat with the details and approve or reject buttons, and the answer is written back to the system.

The problem: An approval request sits in someone's email and the order waits.

02

Stalled work → alert

Items that pass a time limit you set post an alert to the right channel with a link to the record.

The problem: An order or ticket stalls and nobody notices until the customer calls.

03

Daily summary

A short summary of open, late and stuck items is posted to each team's channel every morning.

The problem: Managers check several systems each morning to see what's pending.

A practical approach

Connect the tools your team already uses.

The right starting point depends on your people, information, and business goals. We agree the scope together.

  • Common systems: Microsoft Teams, Slack, Google Chat
  • Post alerts and summaries to channels or people
  • Approve or reject from a chat message
  • Write chat actions back to the source system
  • Route by team, urgency or record type
  • Agree on data access and review steps before implementation
  • Define a clear scope, price, and handoff together

Systems around the workflow

Build around your existing messaging tools.

Put the alerts and approvals your team needs into the chat tool they already watch. We identify the source of truth, permitted access, field mapping, and a safe way to handle failed or repeated requests.

  • Microsoft Teams
  • Slack
  • Google Chat

The records and rules

Identify supported messaging channels, conversation ownership, contact preferences, eligible templates, and the records a confirmed message can update.

The staff decisions

People approve commitments, payment decisions, and exceptional requests. Define how customers can reach staff and how a reply stops or changes follow-up.

What the pilot should prove

Test repeated messages, delayed delivery, customer corrections, opt-out handling, missing context, attachments, and transitions between an automated conversation and staff.

When a connection fails

Keep a traceable record of what was requested, what completed, and what needs review. Agree retry limits, duplicate protection, staff fallback, and the owner who resolves a failed update before launch.

Everyday business, practical AI

See the complete workflow.

These are proposed implementations we can scope around your business. Explore the steps, the staff decisions, and a sensible first pilot.

Restaurants & hospitality

Text-to-order for restaurants

Let customers start an order through a text conversation or website chat. Turn a casual message into a clear basket, check it against the menu, and connect the confirmed request to the restaurant’s normal order process.

From request to completion

  1. 1A customer messages the business or opens the ordering chat.
  2. 2The assistant uses the live menu to assemble items and asks only for missing options.
  3. 3The ordering system checks price, stock, location, fulfillment rules, and the requested time.
  4. 4The customer reviews the basket and uses an approved payment link or confirms the restaurant’s allowed payment method.
  5. 5A supported integration submits the order and sends confirmation; staff see unresolved requests in one queue.

Your team stays in control

Require confirmation before placing an order. Handle duplicate messages safely. Keep ordering messages separate from marketing consent and let customers request a person.

What connects

Messaging channel or website, menu data, order management, checkout, and kitchen or staff queue.

A practical first pilot

Offer a small pickup menu through one channel. Verify modifiers, payment failures, duplicate requests, cancellation rules, and the kitchen handoff with staff.

How to evaluate it

Review basket completion, abandoned conversations, order corrections, and staff handling time.

Automotive & repair businesses

Repair status and approval requests

Keep customers informed from vehicle drop-off through collection. Prepare understandable status updates from the shop’s records and route estimate approvals through the existing service process.

From request to completion

  1. 1A service advisor updates the repair job or an estimate becomes ready.
  2. 2The workflow collects approved job notes and the customer’s communication preference.
  3. 3AI prepares a plain-language summary with the next required decision.
  4. 4The advisor approves the message and the customer uses the shop’s authorized approval link.
  5. 5The confirmed decision is recorded against the job and the responsible team is notified.

Your team stays in control

Staff approve diagnostic explanations, charges, completion estimates, and additional work. Customer consent stays attached to the job.

What connects

Shop management, estimate approval, customer records, and messaging.

A practical first pilot

Use draft status messages for one advisor, with approved templates and a review of the handoff into repair authorization.

How to evaluate it

Check inbound status calls, approval turnaround, message corrections, and customer understanding.

Implementation, end to end

A working process your team can operate.

01

Understand the current work

Walk through a real request with the people doing the job. Identify the source records, decisions, bottlenecks, and exceptions before choosing software.

02

Build a useful pilot

Define a limited starting scope and create a working version. Test representative requests alongside difficult cases, missing data, and failed connections.

03

Launch with clear ownership

Agree access, approval steps, acceptance checks, and a release plan. Show staff how to use the system, review exceptions, and contact the responsible owner.

04

Maintain and improve

Provide the agreed documentation and handoff. Review usage, operating costs, and issues; define support coverage and future changes in the engagement.

Connect the rest of the workflow.

Voice, chat & conversational AI

Build phone, website chat, or messaging workflows around your menu, services, policies, and customer process. Connect the conversation to supported ordering, booking, ticketing, or intake systems so staff receive useful work rather than another transcript.

Customer follow-up & CRM

Set up a manageable customer pipeline, reminders, and follow-up workflows so your team knows who needs a response and what happens next.

Before we begin

The questions that shape your project.

Bring the business problem. We can help translate it into a practical technical plan.

Can you work with our existing software?

We review the systems you use, available APIs or supported imports, subscription requirements, and access permissions. The scope identifies which connections can be implemented and which need an alternative.

What do you need from our team?

A process owner, examples of the current work, and access to the systems included in the scope. Your staff help confirm the business rules, review a pilot, and decide whether the result is ready to use.

How are cost and success agreed?

The proposal defines deliverables, assumptions, responsibilities, acceptance checks, and pricing. Third-party subscriptions and usage costs are identified separately. We choose meaningful measures from your existing process rather than promise an untested result.

What happens after launch?

The agreement defines code and account ownership, documentation, training, deployment responsibilities, and any ongoing support. Staff get a clear way to handle failures and requests for changes.

Let’s talk about what you want to improve.

A short conversation can help you decide where AI and better systems would make a useful difference.