Will it give wrong answers?

Answers are grounded in your help center, docs, and order data, and the system knows when it doesn't have a source. It says so instead of guessing.

What if a customer is upset?

Tone and urgency are part of the classification. Sensitive tickets route straight to a human with context.

Which channels are covered?

Email, chat, and help-desk forms are standard. Voice and social can be added.

Do agents need to learn a new tool?

No. We plug into your existing help desk, Zendesk, Intercom, Front, and others.

Support Automation

Tier-1 support, ticket routing, and answers, handled before your team sees them.

Incoming questions are classified, answered from your own knowledge, and routed with full context. Your team handles the cases that need a human; the rest are resolved in seconds.

Run the free audit Or book a 15-minute call

Typical pilot: 4 to 8 weeks
Pricing model: Fixed scope, fixed price
Coverage: USA · UK · Remote-first
NDA available: Yes

In short

What is AI support automation?

AI support automation classifies every incoming support request, answers the routine ones instantly from your own help content and order data, and routes the rest to the right agent with full context attached, so tier-1 volume is handled before a human ever opens the ticket.

Support costs scale with volume because the same handful of questions arrive hundreds of times a week and agents answer them on autopilot. An AI support automation system deflects that load: it tags each message by topic and urgency, resolves the answerable ones from your knowledge base, drafts replies for the rest, and escalates with the customer's history attached. One DTC SaaS team we built this for deflected 58% of tickets before a human saw them and cut average resolution from about four hours to three minutes, while CSAT went up, not down.

§ 00 / See it run

Get your free plan

Tell us one thing. See support automation run.

Add a couple of details, get a personalized result and a live look at the system, then we carry everything into a tailored plan, no retyping.

§ 01 / Free audit

Run the numbers first

Before you talk to us, see what support automation is costing you.

Adjust the sliders. The number on the right is what staying manual costs in a year. Conservative math, defensible assumptions, no signup to see the result.

Already know what you need?

Skip the audit. Book a 15-minute scoping call.

Book a scoping call See case studies

§ 02 / The problem

The problem

What's actually painful about support automation today.

Support volume scales faster than headcount. The same five questions land in the inbox 200 times a week; agents answer them on autopilot and burnout rises. The cases that actually need a human get buried.

Meanwhile response times stretch, CSAT slips, and you're paying senior salary to answer questions a help center already covers.

The cost of standing still

What staying manual actually costs.

01Hours per week the team spends on support automation work that could run itself12 to 25Mid-sized teams routinely bleed a full-time role to manual coordination in this area.
02How long it takes for a new support automation initiative to compound8 to 16 wksBecause every change has to be done by hand, then redone by hand next quarter.
03Share of support automation decisions that depend on one person being available60%+When they're on PTO or sick, the work doesn't just slow, it stalls.

§ 03 / The shift

The shift

"A DTC SaaS deflected 58% of support tickets before a human saw them."

An AI-assisted inbox that classifies every incoming ticket, answers the ones it can from the help center and order data, and routes the rest to the right agent with full context attached.

Read the full dtc saas story

§ 04 / Outcomes

What's possible now

What changes once the system runs.

Routine tickets resolved in seconds, not hours

Agents handle only the cases that need a human, burnout drops

Every escalated ticket arrives with full context, not a blank thread

CSAT holds steady or improves after launch, even as volume grows

Average resolution time cut from hours to minutes

§ 05 / The system

The system we buildPrescribe

Here's the system that runs support automation end to end.

Every support automation engagement builds the same four-stage system, adapted to your operation. Press Run the system below to watch one piece of work move through every step.

The system · live run

01
Classify
Every incoming message is tagged by topic, urgency, and whether it's resolvable from existing knowledge.
pending
02
Draft or resolve
Routine questions get an instant grounded answer; the rest get a draft reply for the agent.
pending
03
Route
Escalated tickets land in the right queue with the customer's history and the AI's draft attached.
pending

token

complete

§ 06 / Try it on your workflow

Try it on your workflow

Map a workflow you actually run. See what it costs.

Drag the steps into the order your team actually does them. We show you the hours and dollars the manual version costs, and exactly which steps the system takes off your plate.

§ 07 / Proof

Related case studiesAll case studies

DTC SaaS · US

A DTC SaaS deflected 58% of support tickets before a human saw them.

58%

of tickets resolved without a human

B2B SaaS · UK

A Series B SaaS team gave 80 hours a week back to selling.

80+ hrs

manual CRM work eliminated per week

E-commerce (dropshipping) · UK

A solo store owner cut product sourcing by 90%.

~90%

less time spent sourcing products

§ 08 / Principles

What we believe

Principles

01
Outcome, not output
We measure success by hours reclaimed, deals closed, errors removed, not by tickets filed.
02
Boring over clever
We pick the most boring, durable technology that solves the problem. Cleverness is a liability.
03
Fixed price, fixed scope
No open-ended retainers. Every engagement ships with a one-page scope you can hold us to.
04
Build to hand off
We document, train, and hand over. The system is yours to run, modify, or extend without us.

§ 09 / Where we work

Where we work

Support Automation in 8 metros, and counting.

New YorkUSA AustinUSA ChicagoUSA MiamiUSA LondonUK ManchesterUK BirminghamUK LeedsUK

§ 10 / Questions

Questions

Answers are grounded in your help center, docs, and order data, and the system knows when it doesn't have a source. It says so instead of guessing.

§ 11 / Stack

How it works

We plug into your existing help desk and ground answers in your help center, docs, and order data, adding an AI layer, not a new tool.

Stack details shared during scoping, under NDA.

§ 12 / Working with us

≤ 4 hrs

Avg response

EN · ES · UR · HI

Languages

USA · UK · EU

Coverage

Full ET/GMT

Time overlap

Fixed scope

Engagement

Standard + mutual

NDA

Working with us

§ 12.5 / Further reading

Go deeper

Customer Service · Blog

Conversational AI for Customer Service: A Practical Guide

Conversational AI can resolve routine customer questions on its own and route the rest with context. Here is how it works and where it pays off.

Read the article Fundamentals · Blog

AI Task Automation: Automate the Repetitive Work Draining Your Team

AI task automation hands off the repetitive, judgment-light tasks that quietly consume hours. Here is what to automate first and how to start.

Read the article

§ 13 / Also worth looking at

Teams that ask for this also ask forAll services

CRM Automation

Your CRM updates itself.

E-commerce Automation

Sourcing, listing, and orders, handled while you sleep.

Marketing Automation

One marketer ships the output of a team.

Next step

Ready to automate support automation?

Run the audit above, or book a 15-minute scoping call. We'll send back a one-page scope in 48 hours.

Book a scoping call See case studies

Response time

≤ 4 business hours

Coverage

USA · UK · EU

Team

10 engineers · 1 PM