How is this different from every other AI agency?

Most of them stop at delivery. They ship the thing, invoice for it, and leave the question of whether it was worth building to you. We agree the number before writing code, take the baseline, and measure the same number afterwards, and the closing report says what happened either way. It is a fair question to be suspicious about, because it is easy to claim and harder to check, so ask us on the call how the DHL baseline was taken and judge the answer.

What if you look at our company and there is nothing worth building?

Then we say so and the engagement ends there. That has happened. A team came to us wanting a support agent, and the honest finding was that their ticket volume was low enough that two people handled it comfortably and any model would have been a slower, more expensive version of what they already had. We would rather lose the build than take the money for it.

Do you work on a fixed fee or a retainer?

Identify is a fixed fee with a fixed end date, because the output is a written assessment rather than an open-ended relationship. Build is scoped per project once we both know what is being built. Some clients keep us on afterwards to run the measurement and the next round, and some do not need to. We will tell you which one you are on the call.

We already have engineers. Why would we bring you in?

Usually because your engineers are correct about what they can build and short on time to work out what is worth building. Naming the opportunities means sitting with the operations team for a week and reading how work actually flows, which is a job your team can do and does not have the calendar for. On the build side we tend to work alongside your engineers rather than around them, since they will own the result after we leave.

How long does the first phase take?

Identify runs two to three weeks for most companies, depending on how many teams we need to sit with and how quickly we get access to the systems. Build depends on what came out of Identify. A single automation into an existing stack lands in weeks. A model in the product with evaluation and monitoring around it takes longer, and we will say which one you are looking at before you commit to anything.

Can you sign an NDA and work inside our systems?

Yes on both. Most of the work happens inside client systems, and a good part of it cannot be described publicly afterwards, which is why the case studies on this site name what was found and what was built without naming the specific pipelines.

What does the DHL figure actually mean?

It means the programme that work was part of contributed roughly $100M in annual operational value at DHL scale. A figure that size is never one person’s work, and we do not claim it as one. It came from a large delivery programme, and the part worth talking about is the method that found the opportunity, which is the same one described on this page.

Do you work with companies outside the three groups listed here?

Rarely, and only when the shape of the problem matches. We are a generalist AI practice, not an agency that will do anything for anyone. If you are a hospital group or a bank, the honest answer is that the regulatory work around the build is a specialism we do not carry in-house, and we will say that on the first call rather than after the contract.

AI consultancy

We find the AI worth building inside your company, then we build it and prove it worked.

We work with startups, software firms, and the funds that back them.

Book the call30 minutes. No deck.

Work delivered for

Singapore Government project

$100Mroughly in annual operational value at DHL scale, from the programme AISynq contributed to. A figure that size is never one person’s work.Read the DHL case study

The problem

One of these three is probably already true for you.

01
You bought the tools. Someone ran a pilot. Months later the licences are still being paid for and nobody opens them.
02
Or the AI feature you shipped demos well and has not moved a single number that appears in a board deck.
03
Or you are earlier than that, watching everyone else make these mistakes and trying hard not to repeat them.

That is the problem AISynq exists to fix.

The method

Identify, build, prove. In that order, every time.

Three steps, named the same way on every page of this site. The order matters more than any single step, because building before identifying is how a company ends up with a working system nobody needed.

Who we help

We work with three kinds of company.

Flagship engagement

$100Mannual operational valueDHL · logistics at scale

The exception queue nobody could read

A logistics operation at DHL scale generates more exceptions than any team can read. The opportunity was not a chatbot and it was not a dashboard. It sat in the gap between what the operational systems already knew and what the people handling exceptions were able to see in time to act. We found it by sitting with the people doing the work, built into the systems that were already running, and measured the result against the position before the programme started.

The programme contributed roughly $100M in annual operational value at DHL scale. A figure that size is never one person’s work, and the specific systems cannot be described publicly. The part worth talking about is the method that found it, which is the same one described above.

Read the DHL case study

FAQ

Questions people ask before they book

Next step

If you have a budget, a deadline, and no clear answer on which AI project deserves either, that is the conversation to have.

Book the call

A 30-minute call. No deck.

We find the AI worth building inside your company, then we build it and prove it worked.

Work delivered for

Identify, build, prove. In that order, every time.

Identify

Build

Prove

We work with three kinds of company.

Startups

Software firms

VCs and accelerators

The exception queue nobody could read

Questions people ask before they book