Find what breaks.
Run real past tickets through it, including the awkward ones.
What it takes
to make AI work.
How we take one piece of real work from a conversation to something your team runs every day.
Plenty of AI gets demoed. Far less gets used.
The demo is the easy part. The work is in everything around it: which job to change, what the AI may see, how it’s tested and who’s responsible once it’s live.
To show you, we’ll follow one customer support ticket the whole way through.
Understand / Days
Sit down with the
people doing the work.
Our specialists learn how a ticket really gets handled. Then every step gets sorted: what AI can do, what it can draft and what stays with a person.
- Where people copy and paste
- Where the real rule lives in someone’s head
- Where a wrong answer would cost you
Choose / Days
Find the few
worth doing.
Most ideas look good on a whiteboard. We weigh what each is worth against what it takes, then give you a ranked short list and say why the rest should wait.
Connect / Weeks
Give AI what your
team already knows.
- 01
Start with what’s already there.
Your help desk, store, subscriptions, policies and past replies.
- 02
Decide what AI may see.
Access is set system by system. Payment details stay out.
- 03
Organize it into context.
Customers, policies and your voice, kept current and in one place.
- 04
A real ticket comes in.
AI finds what this ticket needs, drafts a reply and checks it.
- 05
A person makes the call.
Anything sensitive goes straight to your team. Corrections go back in.
Illustrative example
Test / Weeks
Test it on
the hard ones.
Before anyone relies on it, we run it against your real past cases. What it gets wrong tells us what to fix, and where a person needs to stay.
Fix it. Run it again.
Better context, clearer rules, a tighter check.
Agree what stays human.
Whatever it still can’t do well goes to a person.
- Correct
- Needs work
- Goes to a person
- Each square is one past case. Illustrative.
Run / Months
Your team runs it.
Not us.
People move from doing every task by hand to directing and checking the work. We train them, document it and stay alongside until it’s simply how the work gets done.
Support queue
Suggested reply
- .customer / plan
- .customer / billing
- .policy / refunds
Facts, policy and tone checked
Reviewed with your team
Quality
Usage
Cost to run
OwnerYour support lead
Illustrative example. Try the buttons.
Two ways to do this
Add a tool, or rebuild the work.
| Add a tool | Rebuild the work | |
|---|---|---|
| Where it starts | A product demo | The work, and the number that matters |
| What changes | One step gets faster | The whole workflow |
| What it knows | Whatever’s in the prompt | Your customers, policies and voice |
| How it’s tested | It looked good in the demo | On your real cases, including failures |
| When it’s wrong | Someone finds out later | A person catches it, and the correction goes back in |
| Who runs it | Whoever set it up, while they’re around | A named owner on your team |
Questions
What people
ask us first.
Can’t we just build this ourselves?
You can, and for some of it you should. Our job is to get the first one right alongside your team, so they can take on the next one with less of us.
Does my team need to be technical?
No. We bring the design and engineering. Your team brings its knowledge of the work, then learns to direct and check the system.
How long does it take?
Understanding the work and choosing where to start takes days. A first working version takes weeks. Making it part of how the business runs takes months. Your systems and data shape the real answer, and we’ll be straight about it once we’ve seen the work.
What does an engagement look like?
Join at the stage you need: an opportunity assessment, a review of something you’ve already built, or an embedded team working with yours through delivery.
Does it have to be customer support?
No. We followed one ticket to keep this page simple. The same steps apply to finance, operations, content, sales and most work that crosses several systems.
What about our data?
Access is decided system by system before anything is connected, and sensitive data such as payment details stays out. We work through your security and privacy requirements at the start.
Bring us
the question.
Where could AI help? What should we build? Let’s work through it together.