AI agents and automation for the work your team repeats
Most teams lose hours every week to work that follows the same steps every time: answering the same customer questions, moving a lead from a form into the CRM, retyping invoice details, translating and reformatting content, assembling the same report every Monday. We build the automations and AI agents that take that work off your desk, in Python and in code you own, with AI used where it genuinely helps and a person kept on every decision that matters.
- AI agents that answer, sort and draft, with a person approving what goes out
- Leads, requests and data moved between your tools without copy and paste
- Documents read, filed and searchable, content published everywhere at once
- Your data stays yours: where it runs and what it is sent to is decided up front
Automate the repetitive part, keep people on the decisions
AI is very good at a narrow set of things: reading a scanned document, pulling out the fields that matter, putting it in the right category, drafting a first version of a text. It is not good at being left alone with decisions that carry consequences. The automations worth building use it for the first set and route the second set to a person.
So we start with the process, not the tool. Which step is repeated a hundred times a month? Where do errors creep in today? What does a person need to see before something goes out? The answers decide whether the right build is a fifty-line script, a scheduled job, or an AI model in the loop. Often it is the script.
And every automation has to be visible. If it stops, someone should know the same day, and if it is unsure, it should ask rather than guess.
Where automation pays for itself
The common thread is work that follows rules, happens often, and currently depends on someone remembering to do it. Some of it needs AI. Much of it only needs a reliable script.
AI agents and assistants
Agents that answer customer questions from your own content, sort incoming email, qualify leads or draft replies, with clear limits on what they may do alone and a person approving the rest.
Leads and requests
A form submission that lands in your CRM, notifies the right person, sends the right follow-up and is tracked until someone responds, without anyone moving it by hand.
Content and translation
First drafts of EN and FR versions, summaries, alt text and SEO metadata generated inside your editorial workflow, then reviewed and approved by an editor before publishing.
Publishing workflows
One piece of content published to your website and pushed to your social channels in the right format, on a schedule, without copying and pasting.
Reports that build themselves
Figures from analytics, Search Console, sales or spreadsheets gathered on a schedule and delivered as a weekly report or a dashboard, instead of assembled by hand every Monday.
Documents and invoices
OCR on scanned and emailed documents, key fields extracted, and every file renamed and placed in the right folder automatically, so the paperwork sorts itself.
Search across your knowledge
Full-text search over thousands of PDFs, scans and internal documents, or an assistant that answers from them, so information is found in seconds rather than an afternoon.
An AI-ready website
Structured data and clean, well-organized content so that AI search tools and assistants can read your site correctly and cite it when people ask about what you do.
Systems we have built
Bookkeeping that prepares itself. A Python pipeline that runs OCR on incoming invoices and statements, extracts the fields an accountant needs, and files each document into a consistent folder structure. Month-end preparation starts from an organized archive instead of a pile.
Search for a document archive. A full-text index over a large collection of PDF files, scanned ones included, so a document can be found by what it says rather than by where someone remembers saving it.
Publish once, everywhere. A publishing workflow that takes content from the website and distributes it to social channels, so posting no longer means repeating the same work on every platform.
Data brought to where people work. This site reads the Google Search Console API through a service account and shows per-page performance inside the WordPress editor, refreshed on a schedule, so nobody has to open a separate tool to see how a page is doing.
Is there a task your team repeats every week?
Describe it the way you would to a new colleague: what comes in, what you do with it, and where it ends up. That is usually enough for us to tell you whether it can be automated and roughly what it would take.
Small, reliable automations, not a platform you have to learn
Map the process first
We look at how the work is done today, with real examples, and find the steps where time and errors actually go before anything is built.
Prototype on your real documents
A working version is tested against your own invoices, files or content early, because real documents are always messier than the sample.
A person on the decisions
Anything uncertain is flagged for review rather than guessed. Automation handles the volume, and your team keeps control of what matters.
Your data stays yours
We decide with you where the automation runs and which outside services, if any, see your data, in line with privacy obligations such as Quebec’s Law 25.
Visible when something fails
Logs and simple alerts, so a job that stopped is noticed the same day and not three months later during an audit.
Code and documentation you own
Delivered as readable code with notes on how it works and how to change it, not locked inside a subscription you cannot leave.
Frequently asked questions
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Do we need to use AI at all?
Not necessarily, and we will tell you when you do not. Many of the most useful automations are plain scripts that follow rules. AI earns its place when the input is unstructured, such as scanned documents, free-form emails or text that needs a first draft.
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Can an AI agent talk to our customers directly?
It can, within limits you set. A well-built agent answers from your own approved content, says when it does not know, and hands the conversation to a person for anything involving money, commitments or complaints. We usually start with the agent drafting and a person sending, and widen what it does alone once its answers have proven reliable.
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Where does our data go?
That is decided at the start, not discovered later. Many automations run entirely on your own computer or server. Where an outside AI service is useful, we tell you which one, what is sent to it and why, so you can decide with the facts in hand.
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How accurate is OCR on our documents?
It depends on the documents, which is why we test on your real ones before committing. Clean PDFs are read almost perfectly. Poor scans and handwriting are less reliable, so the workflow flags low-confidence results for a person to check rather than passing them on silently.
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Do you use tools like Zapier, Make or n8n?
When they are genuinely enough, yes, because a simple connection should stay simple. For document processing, search, or anything that needs to be reliable and inexpensive at volume, we write the automation in Python so it is fast, testable and free of per-task fees.
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Can it work with the software we already use?
Usually. If a system has an API, or can import and export files, it can be part of an automation. Where it has neither, we say so before the work is scoped.
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What does it cost to run once it is built?
Often very little. A script that runs on your existing computer or server has no ongoing cost beyond maintenance. Where an AI service is involved, we estimate its usage cost up front based on your real volume.