AI Practice

AI systems for the work your business repeats every week.

DoubleKlick is a product engineering studio. We build AI into the parts of a business where work is repeated, delayed or dropped: the first reply to an enquiry, a quote, the job paperwork behind it, and the reporting that nobody has time to write.

Discuss an AI project See the AI workforce product

Where We Start

Four places AI earns its place

Overhead view of four black dishes set into wet stone, one filled with glowing blue liquid and a hand touching its surface. — A short list of places it works, rather than everywhere at once.

These are the workflows we are asked about most. Each one has a clear start, a clear finish and a person who currently carries it.

Chat interface showing lead qualification and weekly reporting

First reply to an enquiry

Enquiries from your website, shared inbox and messaging arrive in one place, get read against what you actually do, and are routed to the right person with the details needed to answer.

AI automation network connecting specialists and business systems

Quotes and job packs

Quotes drafted from the way you already price work, job packs assembled from the details on file, and the follow up scheduled instead of remembered.

Connections to your systems

The AI reads and writes to your CRM, accounting, scheduling and stock systems, so a person is not retyping the same job across four tabs.

Business dashboard overview with performance tiles

The weekly read for the owner

Enquiries in, quotes out, jobs booked and invoices unpaid, written as a short summary you can read with a coffee rather than a dashboard you have to interpret.

How It Runs

One workflow at a time, on purpose

One printed workflow card lifted clear of a fanned spread of identical blank cards on a dark desk — One workflow in production before the next is scoped. Programmes that start with a roadmap tend to stop at pilot.

A wide rollout hides which part failed. We start narrow, prove the output, then extend.

1Scope one workflow

We pick a single workflow with a clear start and end, and write down what a good output looks like before any model is involved.

2Build on real records

We build against real records from your systems, including the messy ones, so the edge cases are handled rather than discovered later.

3Run beside your team

It drafts and a person approves. That stays the arrangement until you are satisfied the output is reliable enough to go further.

4Support and extend

We watch what it gets wrong, correct it, and move to the next workflow when the first one is settled.

Two Different Offers

Agency work and the product

Two identical matt product blocks on a dark desk, one plain and one being handled, above a specification sheet — Custom build and product are different tools. We will say which one you need.

Custom work is scoped to your workflow, your systems and the way your team already answers customers. It is built for one business and it changes when that business changes.

The product is the opposite arrangement: a defined AI team you can start using, with the specialists, the onboarding and the pricing published on its own site at doubleklick.ai. It is not a custom build and it is not priced like one.

If your process fits the product, use it directly. If your process is the reason the product does not fit, that is the work we do here.

The five specialists How the product works

Operations dashboard with reporting and analytics charts

Straight Answers

What we will tell you before you spend anything

A person seen from behind at a heavy desk reading an open book lit from a slot beneath the surface, dust in the beam. — The honest version, before any money moves.

Not every problem is an AI problem. Where a form change, a rule or a person is the better fix, we say so instead of building a model around it.

Where a workflow touches money, contracts or customer records, a person approves the output at the start, and we are explicit about which decisions stay with your team.

The AI work sits next to the rest of the studio: product engineering, Salesforce consulting and the systems that connect them. Most AI work fails at the integration, not the model, so it helps that we build both.

Next Step

Have a workflow that keeps slipping?

Tell us what breaks, how often, and who has to fix it. We will tell you whether AI is the right fix.

Talk to us