We design, build and run AI agents for Canadian businesses with roughly 10 to 200 staff. Your agent works in your email, Microsoft 365 or Google Workspace, CRM and accounting system. A person approves anything that matters, every action is logged, and you get a fixed price before work starts.
"I'll build you a working prototype in 5 business days, free, no obligation."
Scott Holmes, founder
What got faster is the mechanical build work: scaffolding, integrations, wiring and testing. Understanding your workflow still takes a person's time, which is what the free audit call is for.
If one of these sounds like your week, an agent can probably take it over.
Someone opens each purchase order, reads it, and re-keys it into your ERP or accounting system. It's slow, and one wrong part number becomes a wrong shipment.
Fix: an operations agentLunch hour, after 5 p.m., or two lines ringing at once. Some callers leave a message. Others phone the next company on their list.
Fix: a customer agentYour estimators have moved on to the next job. Last Tuesday's quote sits in the sent folder until the customer buys somewhere else.
Fix: a customer agentClient files, financial records, or a contract that says data stays in Canada. You need an agent that runs where you decide.
Fix: a private agentWe sort agents by where the work happens: your back office, your customers, or data that has to stay private.
Read incoming email and documents, pull out the details, and enter them where they belong: orders into your ERP, bills into QuickBooks, leads into HubSpot. They also prepare quotes, build scheduled reports and draft replies for a person to send.
Operations agentsAnswer your phone and website chat from your own documents, qualify the enquiry, book the appointment, update the CRM and pass the conversation to a person with a summary. Voice agents run on Retell AI or Vapi.
Customer agentsAgents that run on a Canadian cloud region or your own hardware, using open-weight models such as Llama, Qwen and Mistral through Ollama. Locked-down access, approval steps and an audit trail come standard.
Private agentsAn AI agent reads a piece of incoming work, decides what needs to happen, and uses your software to do it. A chatbot only talks. A workflow only follows fixed rules.
| Chatbot | Workflow automation | AI agent | |
|---|---|---|---|
| What it does | Answers questions in a chat window | Moves data between apps when a set trigger fires | Reads the input, decides the next step, and uses your tools to take it |
| Messy input (a scanned PO, a rambling email) | Can read it, can't act on it | Breaks unless the data arrives in the expected format | Handles it. That's its main job |
| Takes action in your systems | Rarely | Yes, the exact steps it was given | Yes, within the permissions you set |
| Example | "What are your hours?" on a website | New web form becomes a row in a Google Sheet | Reads a supplier's PDF quote, matches parts to your catalogue and drafts a PO for approval |
| Where a person fits | Takes over when it gets stuck | Fixes it when a rule breaks | Approves anything that sends money, signs or emails a customer |
In practice, our agents sit on top of ordinary workflows. The workflow handles the fixed steps and the AI handles the reading and judgment. For the long version, read What AI agents actually do for a business.
Six steps from first call to a working agent. You see a prototype within 5 business days, and the production agent is typically live about 2 weeks after you approve the price.
On a phone or video call, we look at where the hours go and agree on the one job worth prototyping first.
One workflow or one agent, working on your tools in a test setup or on sample data. You watch it run on a video call. No obligation.
If you want it in production, you get a written scope and one fixed price. The prototype isn't charged on top.
We connect it to your live tools with the least access it needs, and you review a staging version. Typically live in about 2 weeks.
The agent starts on real work with approvals switched on. Documentation, a walkthrough and 2 weeks of support are included.
Monitoring, fixes and small changes, month to month. Cancel anytime, and you keep everything we built.
AI models get things wrong sometimes. We design every agent on the assumption that it will.
Before you sign, we show you where each piece runs: which model provider sees which data, and where it's stored.
If your data has to stay in Canada, we can run the model on Azure Canada Central, AWS ca-central-1 or your own hardware. We design with PIPEDA and Quebec's Law 25 in mind.
Your agent works in the software your team already opens every morning. These are the tools we build with.
Don't see your ERP or industry software? If it has an API or can send and receive email, an agent can usually work with it. We confirm that on the audit call, before any price.
Most of what you need is already built, tested and running somewhere in our portfolio, alongside 130 n8n workflows. That's why we publish fixed prices instead of quoting from scratch. Here are three that are live right now.
Drops onto an existing Claude Code or AI-agent build and routes every tool call through one policy decision point that defaults to deny, confines file and shell access to a boundary, vets each skill for risk and prompt injection before it can run, and records every action in a hash-chained audit log. Published as an npm command-line tool with a resident, fail-closed policy daemon.
How it's built →Built for a Canadian consumer lender
Each morning sends a lender's customer screening batch to a sanctions and watch-list screening service: pulled from SharePoint, unzipped, PGP-encrypted by a small serverless microservice and uploaded by SFTP. Later it collects the results, decrypts them, flattens the XML into a readable CSV, files it in SharePoint and emails the analysts.
How it's built →Built for a wireless and telecom engineering firm
Every hour, reads incoming purchase-order emails, takes the PO and tracking numbers from the attached PDF or the email body, finds the matching completed job on the company's Monday.com board and writes the PO number. Each email is then filed as processed or failed, replacing manual lookup and typing.
How it's built →The working prototype comes first, and it's free. Production builds have fixed prices, agreed in writing before any work starts.
One workflow
One-time, fixed price
Most businesses start here
One-time, fixed price
Optional
Month to month, cancel anytime
More answers on our FAQ page.
An AI agent is software that reads incoming work, such as an email, a PDF or a phone call, decides what needs to happen, and does it in your systems. For example, it can read a purchase order, enter it in your ERP and draft a confirmation for a person to approve.
That isn't how we scope projects. We pick jobs your team does reluctantly, like re-keying orders or chasing quotes, so the same people spend more time on customers and judgment calls. A person still approves anything that matters.
You see a free working prototype within 5 business days of us having your sample data and test access. Once you approve the fixed price, the production agent is typically live in about 2 weeks, including a staging version you test before anything goes live. Documentation, a walkthrough and 2 weeks of support follow launch.
Yes. If your data must stay in Canada, we run the model on Azure Canada Central, AWS ca-central-1 or your own hardware. We design with PIPEDA and Quebec's Law 25 in mind, give each agent only the access its job needs, and log every action.
Every project gets a fixed price in writing before work starts. Starting prices for a first agent, a single automation and monthly support are on our pricing page. Model usage and software subscriptions are separate running costs, and we estimate them for you up front.
Book a free 30-minute agent audit by phone or video. We agree on the job worth automating first, and I'll build you a working prototype of it in 5 business days, free.
Get a Free Working Prototype