AI automation that gives you your hours back
We automate the repetitive work clogging your team’s week — processing documents, triaging inboxes, generating quotes and reports — built by senior engineers with ex-Amazon and Ticketmaster experience, priced fixed before we start.
How we approach it
Every business we speak to has the same hidden cost: skilled people spending hours a day on work a machine should do. Copying invoice details into a spreadsheet. Reading fifty emails to find the three that matter. Rebuilding the same quote in Word for the tenth time this month. AI automation is about identifying that repetitive, rules-plus-judgement work and handing it to software — so your team spends their time on the work that actually needs a human.
Here’s the honest bit most AI agencies won’t say: a lot of automation doesn’t need AI at all. If a task follows fixed rules, a plain script is cheaper, faster and never hallucinates. Where language models earn their keep is the messy middle — reading unstructured documents, understanding email intent, drafting text that follows your templates. We combine LLMs for the judgement steps with deterministic workflow logic for everything else, so you get AI’s flexibility without its unpredictability.
Trust is designed in, not assumed. For anything consequential — a quote going to a customer, an invoice being approved — we build human-in-the-loop review, so a person confirms the output in seconds rather than producing it in minutes. And we measure the result properly: before we build anything, we baseline how long the task takes today, then track hours saved after launch, so you can see the return in numbers rather than take our word for it.
Everything plugs into the tools you already use — your CRM, your shared inboxes, your spreadsheets, your accounting software — rather than forcing your team onto a new platform they’ll resent. Our senior engineers have shipped production AI systems for enterprise clients on AWS Bedrock, and we bring that discipline to businesses of every size. Pricing is fixed and agreed upfront, and it starts with a free 30-minute scoping call.
AI Automation, done properly
Document processing
Invoices, purchase orders, contracts and forms read automatically, with the key fields extracted and pushed into your systems — no more retyping PDFs.
Email triage and drafting
Incoming email classified, routed to the right person and answered with drafted replies for common requests — your inbox sorted before you open it.
Quote and report generation
Quotes, proposals and recurring reports assembled automatically from your data and templates, ready for a human to review and send in seconds.
AI only where it earns its place
We use deterministic scripts for rule-based steps and LLMs only for judgement calls — which keeps costs down and results predictable.
Human-in-the-loop by design
Anything customer-facing or financially consequential goes through a review step, so a person approves in seconds what used to take minutes to produce.
Works with your existing tools
We integrate with the CRM, inboxes, spreadsheets and accounting software you already run — no rip-and-replace, no new platform to learn.
From first call to launch
- 01
Map the work
A free call to find the repetitive tasks costing the most hours, baseline how long they take today, and identify which genuinely need AI versus a script.
- 02
Design the workflow
We design the automation end to end — inputs, AI steps, deterministic steps, review points and what happens when something fails — and quote it fixed.
- 03
Build and test
Senior engineers build the automation and test it against real historical examples from your business, so accuracy is proven before it touches live work.
- 04
Launch and measure
We run the automation alongside your existing process first, then hand over fully once it’s trusted — with hours-saved tracking so the return is visible.
AI Automation questions, answered
What kind of tasks can AI automation actually handle?
The sweet spot is high-volume work that mixes routine steps with light judgement: extracting data from invoices and forms, sorting and drafting email responses, moving information between systems, and generating quotes or reports from templates. If a competent temp could do the task with a one-page instruction sheet, it’s usually automatable. Genuinely novel decisions, negotiation and relationship work stay with your team — automation clears the ground so they have time for it.
Do I really need AI for this, or just software?
Often just software — and we’ll tell you so. If a task follows fixed rules, a deterministic script is cheaper to run and never makes things up. AI earns its place when the inputs are messy: unstructured documents, free-text emails, information that arrives in inconsistent formats. Most of our builds combine both — scripts for the predictable steps, language models for the judgement steps — which is how you get reliability and flexibility together.
What if the AI gets something wrong?
We plan for it rather than pretend it won’t happen. Consequential outputs — quotes, invoice approvals, customer replies — go through human review, so a person confirms in seconds what used to take minutes to produce. Behind the scenes we add confidence checks, validation against your business rules, and clear failure paths that route anything ambiguous to a human instead of guessing. Accuracy is tested against your real historical data before anything goes live.
How do you measure whether the automation is worth it?
Before we build, we baseline the task: how many times it happens per week and how long each one takes. After launch, we track completions and review time, so you can see hours saved as a number rather than a feeling. Most automations we scope pay for themselves within months on staff time alone — and if the maths doesn’t work at the scoping stage, we’ll say so before you spend anything.
Will it work with our existing CRM and email setup?
Almost certainly. We integrate with the systems businesses actually run — HubSpot, Salesforce and other CRMs, Microsoft 365 and Google Workspace inboxes, Excel and Google Sheets, Xero and similar accounting tools — via their official APIs. Where a system has no API, there are usually still reliable options, which we’ll assess honestly during scoping. The goal is automation that fits your existing setup, not a new platform your team has to learn.
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Let's talk about your project
Tell us what you're trying to achieve. A free 30-minute chat, no obligation — we'll tell you honestly what we'd recommend, what it would cost and what it should pay back.