By function: Customer support
Customer support automation
Answer the same question once, put the order on the ticket, and let people handle the conversations that need a person.
- First workflow live
- Ticket triage, usually inside the first sprint
- Usually owned by
- Support leads with 2 to 30 agents
- Built on
- Zendesk, Freshdesk, Intercom
- Judged on
- First response time and Tickets per agent per day
In short
Support automation classifies each incoming ticket, attaches the order or account context, routes it to the right queue, drafts a reply for a person to send, and tells the customer where things stand before they ask. SBD builds it inside the helpdesk you already use, with the AI step kept behind a confidence line.
Who this is for
The people who usually own customer support.
- Support leads with 2 to 30 agents
- Operations managers who own the inbox
- E-commerce teams drowning in where-is-my-order
- Founders answering tickets themselves
Is this you?
If three of these sound like your week, this page is about your team.
- Half of inbound is a status question
- Agents keep three tabs open to answer one ticket
- Tickets get reassigned more than once
- The macro library is large and nobody uses it
- An AI tool was tried and turned off after a wrong answer
What it costs today
Where customer support loses the hours.
The same question all day
Where is my order, how do I reset, what is the status. Each answered by a person opening three tabs.
Tickets bounce between teams
Misrouted tickets sit, get reassigned, and the customer waits through every hop.
The answer is in another system
The agent has the ticket. The order is in the store, the invoice in accounting, the delivery with the courier.
Customers ask because nobody told them
Half of inbound volume is status requests that a message at the right moment would have prevented.
For support teams
Answer the question once.
Bring last week's ticket queue. We will show you which half of it should never have reached a person, and what happens to the other half.
Walk us through your queue
By company size
Customer support at 10 people, and at 1,000.
- 1 to 10
One shared inbox, one person, and the same ten questions every day.
- 11 to 50
A helpdesk with no routing rules, tickets picked by whoever is free, and answers that depend on who picked them.
- 51 to 200
Queues by team, tickets bouncing between them, and the order details in a system agents cannot see.
- 201 to 1,000
Several channels, SLAs that are measured but missed, and an AI pilot that answered wrong once and was switched off.
What we build
What we build for customer support teams.
- 01
AI triage with a confidence score
Every ticket classified by type, urgency and sentiment. Confident cases routed automatically, the rest to a person, every decision logged.
- 02
Context on the ticket
Order status, account history, last invoice and delivery tracking pulled onto the conversation so the agent never leaves the helpdesk.
- 03
Drafted replies, human send
A reply drafted from your macros and the customer's own words. A person reads and sends, until the accuracy on your tickets earns more.
- 04
Proactive status updates
Dispatch, delay, refund and resolution messages sent from system events on WhatsApp, email or SMS, logged against the customer.
The workflows
The customer support workflows, and what sets each one off.
- 01 Ticket triage
When a ticket arrives on any channel
ThenClassified by type, urgency and sentiment, routed, with a confidence score
- 02 Context on the ticket
When a ticket is created
ThenOrder, account, invoice and delivery status pulled onto it
- 03 Drafted reply
When a ticket is routed
ThenA reply drafted from your macros, waiting for a person to send
- 04 Proactive status
When an order is dispatched, delayed or refunded
ThenThe customer told on WhatsApp, email or SMS, logged on the record
- 05 Escalation to engineering
When a ticket is tagged as a bug
ThenAn issue created with the context, status fed back to the ticket
The numbers we move
How a customer support build is judged.
Every build has a number written into the blueprint. These are the ones customer support builds are measured by, and how we measure them.
| Metric | Before | After | How it is measured |
|---|---|---|---|
| First response time | Hours | Minutes for routed tickets | Median time from ticket creation to first reply |
| Tickets per agent per day | Flat | Up, with the easy ones removed | Resolved tickets divided by agent days |
| Status enquiries | A third of volume | Under a tenth | Tickets tagged as status requests, per week |
| Misroutes | Common and unmeasured | Rare and counted | Tickets reassigned between teams, per week |
Built on
The tools you already run, where we can.
Every tool we connect has its own page in the integrations directory.
Proof
Proof from builds like this.
- Customer story
Order and dispatch management system
Status messages to five kinds of stakeholder on every order change, which removed most "where is it" calls.
Read the story - Customer story
Retailer catalogue and order portal
A retailer portal with live order status that cut client enquiries by about half.
Read the story
How it starts
An audit of the customer support work your team still does by hand.
One to two weeks. We map the workflows, put an hours-a-week figure on each, and give you a costed blueprint in order of payback. The audit is credited in full to the build.
- Week 1 to 2Audit. We sit with the people who do the work and map it.
- Week 3Blueprint. Fixed scope, fixed price, the first build chosen by payback.
- Week 4 onBuild in two-week sprints, working software every second Friday.
- After go-liveSixty days of hypercare, then a care plan or run it yourself.
What this does not do
So the scope is clear before the call.
- Fully unattended AI replies. A person sends, until the accuracy on your tickets earns more.
- Replacing the helpdesk. We build inside Zendesk, Freshdesk, Intercom or the one you have.
Terms, defined
Customer support terms, in plain English.
- Triage
- Deciding what a ticket is, how urgent it is, and who should handle it, before a person reads it.
- Confidence line
- The score above which the system acts on its own and below which it asks a person.
- Proactive status
- Telling the customer what happened before they ask.
Questions
What people ask about customer support automation.
Will AI reply to our customers on its own?
Not by default. It classifies, drafts and routes. A person sends. Some teams later let it send the simplest categories, with a review sample every week.
Our helpdesk already has automations.
Good. We use them for the simple rules and add what they cannot do: context from other systems, an AI step with a confidence score, and messages from events outside the helpdesk.
What about tone and brand voice?
Drafts come from your macros and past replies the team approves. The tone is yours. The system learns from the edits agents make.
Reading
- Systems
How much should an AI agent be allowed to do?
An agent with an unscoped token dropped a production database and its backups in nine seconds. The permission model we use for every agent: read widely, write narrowly, spend with a cap, and escalate when unsure.
- Strategy
We tried AI and nothing stuck
The sentence we hear on most first calls. It is almost never about the AI. The four reasons tools get abandoned in small companies, how to tell which one you have, and the one change that makes the next attempt stick.
Related
- Function
Sales and RevOps
Reply to every lead in minutes, keep the CRM right without typing, and hand won deals over with nothing missing.
- Function
Operations
The order moves through the business without anyone re-typing it, and everyone who needs to know, knows.
- Industry
Service and e-commerce
One product record on every channel, stock that cannot oversell, orders that reach fulfilment without re-typing, and customers who hear first.
By function: Back office, Finance and accounting, Compliance and risk, Sales and RevOps, Operations, Marketing, HR and people, IT, Leadership
Customer support
Get the customer support hours back.
Bring the one customer support workflow your team still runs by hand. You leave the call with a yes or no on fit and the first thing we would build.
Book the call