Slow first replies
Sort each enquiry and draft a reply from approved information.
- A person still: A person sends it
- What we’d measure: Time to a useful reply
Better customerexperiences.Less repetitive work.
We help SMEs turn scattered AI experimentation into practical improvements: finding the right opportunities, building useful solutions and helping teams adopt them.
Already using AI. Not sure what comes next?
People use different tools, and there is no shared approach.
Customers wait while the team searches for the answer.
Routine work still means copying, chasing and re-entering.
There are plenty of ideas, and no clear starting point.
Start with a problem worth solving.
Details retyped by hand
Pull the agreed fields into the system you already use.
- A person still: Someone checks the fields
- What we’d measure: Items still retyped
Answers only one person knows
Search across the documents you have approved.
- A person still: You choose the sources
- What we’d measure: Answers found without asking
Requests that stall
Route each request to the right queue, with its context attached.
- A person still: The owner still approves
- What we’d measure: Time before someone acts
Build what’s needed. Automate what’s repetitive. Train the people using it.
Automate
We look at the copying, chasing and re-entering between the tools you already use, then automate the parts that are worth it, with a person still able to stop, edit or approve.
- A workflow that moves a defined piece of work from one step to the next.
- Connections to the systems that already hold the information.
- AI-assisted drafting, sorting or extraction where that is the useful part.
Build
Business sites, customer-facing applications, internal tools, and prototypes, built around a task a customer or a colleague needs to finish.
- A business website with a clear next step.
- A customer-facing or internal web application.
- A prototype with a specific question it is meant to answer.
Train
AI in Practice, a one-day masterclass for professionals and teams: how AI works, where it falls short, and how to put it to work with sensible boundaries. Also run as a tailored corporate workshop.
- An AI 101 that uses your actual work, not a generic slideshow.
- Exercises in drafting, checking and rejecting an answer.
- A short written reminder of the limits you want the team to keep.
Find a sensible place to start.
The AI Opportunity Review looks at one workflow and how AI is already being used. You get a short list of opportunities, a recommended pilot, and what to measure. It may also recommend that you do not use AI for this.
Talk through the problemSelected work
All work
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Read the studyUseful automation. Clear boundaries.
- 1. What the solution can access.
- 2. What it is allowed to do.
- 3. Where a person has to approve.
- 4. How activity is reviewed.
- 5. Who owns it after launch.
Who you work with
ROQ CX
The studio you hire for websites, web apps, automations and training.
Zayne Nair
Founder of the studio. Fractional product leadership is a separate practice, on his personal site.
Looking for fractional product leadership? Meet Zayne.Questions
We already use ChatGPT. What would you help us do differently?
A shared way of working. We look at a real task, decide whether AI belongs in it, and if it does, put it where the team can use it with someone still accountable.
Do we need to know what we want to automate?
No. Start from what is slow or frustrating. The opportunity review does not begin with a tool list.
Can you work with our existing tools?
Usually, yes. We confirm the specific systems in the proposal, after we have seen how you use them.
Will our team need technical skills?
Not to use what we ship. Someone on your side still owns the process. We name that person before we build.
How do you decide whether AI is appropriate?
If a clearer page, a form, or a plain workflow would do the job, we say so.
What happens to customer or business information?
Do not put it in the enquiry form. In an engagement, access is limited to what the work needs, and we agree that before anything is connected.
Can we start with a small pilot?
Yes. A recommendation can be a small pilot with something to measure. It is not a commitment to a large build.
What happens after launch?
Handover, including who operates the thing, is part of the engagement. Ongoing support exists only if we agree it.
How are engagements priced?
After we understand the work. We’ll tell you the fee before anything is paid.
What’s taking too much time, or making life harder for your customers?
Tell us where things get stuck. We’ll explore whether a build, automation or training engagement makes sense.
Talk to us