An AI layer bolted onto messy data just automates the confusion. We build anomaly detection, insight generation and data management into infrastructure you own and control.
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Results our clients report to their boards
35:1
Your media return, if your campaign runs like HMS Networks' first one did
£760 to £72
What HMS now pays for a confirmed sales ready lead, down from a typical trade event lead
1,588
Sales ready leads HMS generated on reporting they own and operate
42x
Media efficiency Arrow ECS achieved against benchmark with VMware
We build the AI layer into infrastructure you already pay for, using models you control rather than piping your data into a third-party product. You own the system, the logic and the data. There is no AI platform charging a climbing monthly fee for access to insights about your own business. When the build is done, the capability is yours to run, audit and extend.
AI is only as good as the data beneath it. We build on the single model from marketing data integration, so anomaly detection and insight generation work from trustworthy, joined-up data. Point AI at messy sources and it produces confident nonsense.
Once your marketing data is unified, the next step is to stop reading it by hand. We build an AI layer on top of the model that watches for anomalies, surfaces the insights worth acting on and automates the dull data management work that quietly eats your team's week. The point is not novelty. It is catching the broken form, the failing channel or the sudden cost spike before it costs you a quarter.
This is the natural extension of the data work behind HMS Networks and its a 35:1 media return and a cost per sales ready lead cut from around £760 to £72. The AI layer runs on infrastructure you own, using models you control, so the intelligence and the data stay inside your business rather than being shipped to a vendor platform.
If your team only spots problems at month end and spends days each week cleaning data by hand, an owned AI layer will catch the first and remove the second.
This fits if you are
An AI layer pays off when data is unified, plentiful and changing constantly. These are the teams it helps most.
Marketing directors who want to be told when something matters rather than finding it at month end.
Data and analytics teams drowning in repetitive cleaning and reconciliation.
Operations teams who need early warning when a channel or form breaks.
Multi market and channel businesses with too many sources to watch by hand.
Not the right engagement if
1
Weeks 1 to 2
Opportunity scoping. We identify the repetitive work worth automating and the metrics worth watching, and agree where AI helps and where a person must stay in the loop.
A clear, agreed scope for the AI layer, focused on real value rather than novelty.
2
Weeks 2 to 6
Anomaly detection build. We build continuous monitoring across spend, conversion and channel metrics on infrastructure you own.
Live anomaly detection, owned by you, flagging unusual numbers early.
3
Weeks 6 to 9
Insight and automation. We add automated insight summaries and data management automation, so the system explains what changed and handles the routine cleaning.
Automated insight and data management, freeing your team for judgement work.
4
Weeks 9 to 10
Handover. We document the models and logic and train your team to operate and extend the layer safely.
Full ownership in your hands, with optional support if you want it.
35:1
Return on media investment. Cost of a qualified lead cut from around £760 at trade events to around £72 online, with 1,588 sales ready leads on reporting HMS owns and operates.
Read the case study
454,176
Campaign views at 42x media efficiency, six times the target, with account level intelligence the sales team trusts. Enterprise distribution made measurable.
Read the case study
Most agencies talk about AI and then plug in someone else's product. We build the AI layer ourselves, on infrastructure you own, scoped to your data and your decisions. You get a capability you keep, not a subscription badge on a slide.
Against an enterprise agency
Quarters, not weeks
Six month discovery phases and a quarter million before a single dashboard exists. We work in weeks, with senior people on every call and pricing itemised line by line.
The AI layer runs on your infrastructure with UK and EU data residency where you need it. Your customer and pipeline data is not sent to an external AI service, so you keep control of access, retention and how models are applied.
We run AI work in three stages. Diagnostic: we scope the automation and monitoring worth building. Build: we construct anomaly detection, insight generation and data management automation in infrastructure you own, using models you control. Embedded: we hand over, train your team and offer ongoing support only if you want it.
Pricing is itemised line by line so your finance team sees what each capability costs. There is no opaque contingency block and no climbing monthly AI platform fee hidden in the figure. You build a capability you keep. Enterprise grade thinking without the enterprise overhead.
"Complete dedication to our brand mission by Teylu. They worked within our limitations and made our marketing profitable on first purchase."
Ken Price
CEO, Blake Mill Menswear
"Teylu delivered rapid activation, delivered immediate sales uplift. Assisted in delivering a business exit and increased valuation."
Katie Dixon
Founder, Evellier Luxury Intimates
"It's a pleasure to work with the whole Teylu team. They delivered our exact brief quickly to great effect. What more can you ask for?"
Sophie Fresson
Head of Digital, Oceana UK
Do we own the AI system or rent it from an AI platform?
You own it. The models, the logic and the data all sit on infrastructure you already operate. There is no AI platform charging a climbing monthly fee for access to insights about your own business, and your data is never shipped out to be processed elsewhere. When the build is done, the capability is yours to run, audit and extend. You invest in a system you keep, not a subscription you must keep paying to use.
Does our data go to a third-party AI service?
No. The AI layer runs on your infrastructure, using models you control, with UK and EU data residency where you need it. Your customer and pipeline data stays inside your business rather than being sent to an external service, so your governance and security standards stay intact.
What can the AI layer actually do?
The common capabilities are anomaly detection across spend, conversion and channel metrics, automated insight summaries that explain what changed, and data management automation that handles cleaning, de-duplication and reconciliation. We scope it so the AI does the repetitive watching and your team keeps the judgement.
Do we need unified data first?
Yes, and we are honest about it. AI pointed at messy sources produces confident nonsense. The layer is built on a single unified model, so if your data is not yet integrated we would start there. Get the data right and the AI earns its place; skip that step and it misleads.
How long until the first capability is live?
With the unified model in place, a first capability, usually anomaly detection, is live within six to ten weeks. We start with the highest-value automation, then add insight generation and further data management automation in stages rather than building everything at once.
Still weighing it up? Talk to the team that would build your AI layer.
Tell us where the data lives and what the board keeps asking. A senior person reads every one of these.
What happens next
