Outcomes, not output
Every engagement is tied to a metric you care about. If it does not move the number, we do not ship it.
AI agents · automation · infrastructure
Intelligence
Intelligence
at your Fingertips
LiverpoolAI designs, builds and ships the AI agents, automations and infrastructure that put real intelligence to work inside your business.
Trusted by operators across the North West and beyond
- Northbank
- Mersey Health
- Tidewater
- Albion Retail
- Granby Finance
- Sefton Group
- 0140+AI systems shipped to production
- 0212kStaff hours automated each month
- 036 wksMedian time from kickoff to live
- 0498%Client retention across engagements
Six ways we put AI to work.
From first strategy to production infrastructure. Pick where you are, and we will meet you there.
01
AI Strategy & Roadmap
Know exactly where AI pays off, and where it does not.
A clear eyed audit of your operations, a ranked list of AI opportunities, and a costed, sequenced roadmap your board can sign off.
Explore service → 02Agentic Automation
AI agents that do the work, not just describe it.
We design and ship custom AI agents that run real, multi step workflows end to end, with humans in the loop where it matters.
Explore service → 03Conversational AI
Assistants and copilots that actually know your business.
Retrieval grounded chat assistants, support copilots and internal knowledge tools that are accurate, on brand and cited.
Explore service → 04Data & AI Infrastructure
The plumbing that makes AI dependable in production.
Pipelines, vector stores, model orchestration and observability: the unglamorous layer that turns prototypes into products.
Explore service → 05Document & Vision Intelligence
Turn documents and images into structured, usable data.
Extraction, classification and OCR pipelines that read invoices, contracts, forms and imagery with reviewable accuracy.
Explore service → 06AI Enablement & Training
Make your whole team genuinely good at AI.
Hands on training, internal tooling and a governance framework so AI becomes a capability you own, not a dependency.
Explore service →Map. Prototype. Ship. Scale.
A deliberate path from ambition to a live system: short loops, real data, no theatre.
- 01
Map
We audit your operations and data, then pinpoint where AI creates measurable value, and where it does not.
- 02
Prototype
A working proof of concept in weeks, evaluated against real data and a clear success metric.
- 03
Ship
We harden the prototype into production: integrated, monitored, guardrailed and documented.
- 04
Scale
We hand over, train your team, and stay on as long as you need to expand what works.
60%
faster claims processing
Featured outcome
A regional insurer cleared its claims backlog in six weeks.
We replaced a manual triage queue with a document intelligence pipeline and an agent with a human in the loop. First pass accuracy held above 96%, and the team redeployed two full time roles to complex casework.
Read the case study →Built to move a number, not a slide deck.
Plenty of firms can run an AI workshop. Fewer ship a system you can still trust a year later.
Production from day one
We build for reliability, observability and cost from the first commit, not as an afterthought.
You own the result
Clean code, full documentation and trained people. No black boxes, no lock in.
Senior team, no layers
You work directly with the engineers and strategists doing the work. No account management tax.
What it is like to work with us.
LiverpoolAI took us from a vague ambition to a live, revenue affecting system in under two months. The clarity was the thing. They told us what not to build.
We had three failed AI pilots before this. The difference was treating it as a production engineering problem from the start.
Our support team deflects 40% of tickets with the assistant they built, and every answer is cited. Customers trust it.
Thinking worth your time.
Field notes from shipping AI in real businesses, with no hype and no recycled think pieces.
04 Mar 2026
Why most AI pilots fail (and how to be the exception)
Most pilots stall not because the model is weak, but because nobody decided what success looked like first.
21 Jan 2026RAG vs fine tuning: which one your problem actually needs
They solve different problems. Pick the wrong one and you pay for it in cost, accuracy or both.
12 Nov 2025How to scope an AI project in a week
A five day framework to turn a vague AI ambition into a costed, lower risk plan a board can sign off.