Kill the manual busywork. Keep the humans for decisions.
For teams drowning in paperwork, ticket sorting, data entry, and approval chains. We replace fragile point-and-click automations with AI that actually understands the content, copes with the odd cases, and keeps a record of everything.
Zapier is fine for simple connections. Most real work isn't simple.
The tasks that actually eat your team's week are the messy ones — the invoice missing a purchase-order number, the ticket that could mean three different things, the form a customer filled in wrong. No-code tools handle the easy cases. We automate the whole job.
AI automation means reading documents with real understanding (not just pattern-matching), sorting things by what they mean (not just keywords), and pausing for a human exactly when judgment is needed (not an email chain). We build with whichever tools give you the most control and the clearest view when something needs fixing.
Every automation we build comes with three things: a queue where humans see what the AI couldn't handle, a dashboard showing what each run costs, and a full record of every decision for your compliance team. These aren't nice-to-haves — they're how automation earns trust.
What we automate.
Reading & filing documents
Invoices, contracts, forms, reports, and emails — the AI pulls out the details, checks them against your rules, and sends them to the right system or person.
Sorting email & tickets
Reads each message, works out what it's about, sends it to the right queue, drafts a first reply, and flags the confusing ones for a human.
Approvals without the email chain
Multi-step approvals with AI-written summaries, risk flags, and one-click approve or reject — plus a queue for anything that needs real judgment.
Data entry, done for you
Reads messy documents and types the details into your customer database, accounting system, or spreadsheets — checked, de-duplicated, and logged.
Cutting through alert noise
Watches your feeds, dashboards, and alerts — summarizes them, mutes the noise, and surfaces the handful of things that actually need attention.
Connecting all your tools
Workflows that move across Salesforce, HubSpot, Jira, Slack, Google Workspace, Notion, and your own systems — kicked off by events, schedules, or a click.
How we build it.
Workflow audit
We map the tasks you want to automate — the steps, the volumes, the error rates, and what they cost you. Then we start with the ones that save the most money.
Plan for the odd cases
We list every way a task can go sideways and decide, for each one, when a human steps in. The AI handles the clear cases; your team handles the judgment calls — with everything they need on screen.
Build & test
We build the workflow: AI where understanding is needed, fixed rules where things are black and white, and adjustable settings everywhere in between.
Practice run
For 1–2 weeks the automation runs alongside your manual process — it does the work, but a human approves before anything counts. We measure accuracy and catch the surprises.
Go live & hand over
We switch it on with full monitoring — the exceptions queue, the cost dashboard, and alerts. We tune it weekly, then hand it to your team with plain-English documentation.
Tools we use.
Frequently asked.
5 questions answered. Still have one? Reach out.
Zapier and Make connect apps with fixed rules — great for simple hand-offs. But they can't read a PDF and decide what to do with it, or tell apart two tickets that use the same words but mean different things. We still use those tools for the simple connections — and AI for everything that needs actual understanding.