The Monday report
BeforeThe week started with someone copying numbers from three places into one deck.
NowThe report builds itself from Sheets overnight and is in every inbox before the first meeting.
Explore
By the chore it takes off your desk
AI, built into the work
Proof of work
Recent builds by chore
Live engagement
Care provider · Pilot at one site since July 2026One leave request path for a 1,000+ staff care provider, built inside their own Google WorkspaceStaff covered1,000+PilotOne site, since July 2026Read the case study Invoices, report chasers, leave requests and new leads land in one inbox all day. We build the automation that reads each email, files it, and finishes the follow-up in the tools you already run.Invoices, report chasers, leave requests and leads all land in one inbox. We build the automation that reads, files and follows up on every one.
An illustrative inbox with six unread emails: two supplier invoices, a request for the weekly report, a sick leave request, a new lead from the website form and a customer order query. Moving the handle shows the same emails after automation: each one labelled and archived, logged to a Google Sheet, the leave approved in Slack and the invoices created as bills in Xero.
Drag the handleArrow keys work tooIllustrative mail
Plugs into your stack
We build directly on the tools your team already uses: reading, writing, and moving data between them, on a schedule or in real time. If it has an API, it's in scope.
From autonomous AI agents to document AI that reads any invoice or form, built with the latest models, deployed into your systems.
Every project ships with source on Git, documentation and a live demo you can pressure-test before sign-off. Nothing here depends on taking our word for it.
In pilot at a care provider with 1,000+ staff. Client name withheld.
Invoices from 14 suppliers read and filed daily since early 2026.
Systems we build live engagements and patterns we ship often
A clear, low-risk path. You see exactly what you're getting before you commit, and you own everything at the end.
WK 1
A paid working session. We diagnose where automation pays off.
WK 1-2
Scope, budget, timeline, written so any developer could pick it up.
WK 2-5
Short cycles, regular demos. You steer early.
ONGOING
Full source, docs, runbooks. We stay on as you grow.
Why we built Evenops
We started Evenops after watching too many good businesses run on late nights and copy-paste. Not because the people weren’t smart, because nobody had ever built them the machines they deserved.
That’s the whole company: if a machine can carry it, it should. You get the source, the docs, and your evenings back.
Send us the task you dread. We’ll show you what it looks like automated.
Evenops
From AI agents and document AI to workflow automation and data pipelines, tell us what you need and we'll build it.
We typically respond within 24 hours
Pick a chore
Tap a chore. Watch the system we would build for it, then size it with your own numbers.
Touring all six · tap to take over
Chasing invoices workflow: 1. Invoice goes overdue, checked every morning. 2. Payments matched, paid ones drop out. 3. Reminder drafted, in your tone, per client. 4. Sent from your inbox, same thread, logged. 5. Final notice, waits for your OK.
What we'd build
Size it · your numbers
It happens times a week and takes minutes each time.
-- hours a year
Add your two numbers
Representative flow · built on your tools, with your rules and your sign-offs
Pick another
Each one has the same shape: a trigger, the steps that run on their own, and one place where a person still makes the call. Tap any card to watch it run.
Not on the list? Tell us yours →Build it in-house and drown, or rent rigid SaaS that never quite fits. We wire the third path: production automation shaped to how you already work, handed over for you to own.
A chart of one week of workload. Five peaks, labelled Monday report, Unanswered leads, Supplier invoices due, Leave requests and Stock out of sync, are each flattened by an automated workflow until the line is level. Each peak has a button describing the automation behind it.
Different businesses, the same spikes. Each one gets a system that runs on schedule, checks its own work and hands a person only the exceptions.
BeforeThe week started with someone copying numbers from three places into one deck.
NowThe report builds itself from Sheets overnight and is in every inbox before the first meeting.
BeforeEnquiries sat in a shared inbox until somebody happened to notice them.
NowEvery enquiry lands in HubSpot with a drafted reply, and the right person gets a Slack ping while it is still warm.
BeforeSupplier invoices piled up in Gmail until someone found a free afternoon.
NowEach one is read, logged in Sheets and raised as a bill in Xero. A person only sees the odd one out.
Which peak spikes your week? Tell us, and we build the system that flattens it.
Start Your ProjectAutonomous AI agents that research, analyze, decide, and act. Built on modern agent frameworks and the latest LLMs, handling complex multi-step tasks that would take a human hours.
RAG Knowledge Bases
Search your docs with AI
Multi-Agent Systems
Teams of AI working together
Tool-Calling Agents
AI that uses APIs & databases
Custom Copilots
AI assistants for your team
Yes, completely. Every project ships with full source on Git, the deployment pipeline, and runbooks. No vendor lock-in, no black-box subscriptions. You can hand it to any developer.
Book a paid consultation. We diagnose where AI or automation delivers the biggest ROI, then give you a written plan with rough budget and timeline, whether or not you build with us. The fee is credited toward your first project.
Most automations and AI integrations ship in 2-4 weeks. We work in short cycles with regular demos, so you see progress and can course-correct early instead of waiting for a big reveal.
Automation and integration work is quoted after the consultation, because cost depends on scope: you get a phased fixed price with no surprises and a clear view of the ROI before you commit. Startup MVP builds are the exception, with published fixed-price packages on the startups page.
We build with least-privilege access, keep secrets out of source, and can add audit trails where sensitive data (PHI, PII, financial) is involved. For regulated work we build the controls in from day one rather than bolting security on afterward. If you need a BAA, raise it at the start and we will confirm in writing whether we can sign one; we do not claim HIPAA compliance.