Custom AI agents for your business, in Toronto.
Qualifying a lead, following up a quote, triaging requests, answering common questions: repetitive tasks a well-framed AI agent runs continuously. We design reliable agents, wired into your tools, that save time without making you lose control.
Useful AI is not a gadget: it is one task fewer, done well.
An AI agent is only worth building if it solves a concrete, measurable problem: a lead qualified faster, a follow-up that never slips, a request handled overnight. We do not do AI for AI's sake; we automate a use case that costs you time or money.
Our approach is pragmatic: we identify the high-payoff task, frame the agent (scope, guardrails, tone), wire it into your tools, and keep the human in the loop where it counts. A reliable, supervised agent, not a black box.
This expertise is part ofAI & AutomationAgents wired into your tools, on concrete cases.
We always start from a high-payoff use case, not a demo. Here is where an AI agent saves time.
Lead qualification
An agent that sorts, enriches and qualifies inbound requests continuously, and only hands the hot leads to a human.
Automatic follow-ups
Quote and lead follow-ups that never slip, personalized and on time.
Support & FAQ
Answer common questions 24/7, grounded in your documentation, with a handoff to a human when needed.
Triage & routing
Classify and route requests to the right person or the right location, without manual sorting.
Content processing
Summarize, extract, rephrase: prepare documents, minutes or replies from your data.
Guardrails & supervision
A defined scope, framed answers, logs and human takeover. An agent we keep under control.
Appointment booking
Offer slots and book meetings automatically, synced with your calendar, without the back and forth.
From idea to agent in production, without the bloat.
A short, concrete method: we aim for a useful, reliable agent that ships, not a prototype that sleeps.
Use case & framing
We identify the high-payoff task and define the agent's scope, its guardrails and the success criterion.
Design & connection
We design the agent, its prompts and its rules, and wire it into your tools (CRM, email, forms, knowledge base).
Tests & guardrails
We test on real cases, calibrate the tone and the limits, and define when the agent hands over to a human.
Production & follow-up
We deploy, supervise the first days, adjust. You keep the visibility and the final say on what the agent does.
The tech we assemble to fit the need.
We pick the tool that fits the case, not the other way around. Recent models and proven integrations.
- Claude (Anthropic)
- OpenAI
- n8n / Make
- APIs & webhooks
- CRM (HubSpot, Pipedrive, etc.)
- Knowledge bases
Time given back and leads handled faster.
Orders of magnitude observed on our AI agent deployments. They vary with the use case and your organization.
- -60%time on repetitive tasksdepending on the use case
- 24/7request handlingwithout interruption
- < 5 minfirst reply to a leadvs. several hours
- 100%supervisedguardrails and human takeover
The AI that matters is not the most impressive in a demo, but the one that runs every day without drifting and without babysitting. That frame is what we build.
Estimate your automation potential
Free tools to quantify the time and money you can recover by automating repetitive tasks.
Automation ROI
How much time and money you recover by automating your repetitive tasks.
Use the tool TemplateTime tracking & automation ROI
Put a number on the time and money you can recover by automating your repetitive tasks, task by task.
Download Checklistautomation & processes
Spot what you can automate to save time and make your follow-up dependable: tasks, CRM, reminders, reporting, AI.
DownloadThe questions we hear most about AI agents.
What's the difference between this expertise and your AI & Automation service?
The AI & Automation service is the global offer (automating business processes, from marketing to operations). The AI agents expertise is the precise discipline: designing autonomous agents wired into your tools on a use case. It sits inside the service, alongside simpler automations (workflows, follow-ups).
Do I keep control over the agent?
Yes, it is central to our approach. The agent has a defined scope, guardrails, activity logs and a human handoff on sensitive cases. You keep the visibility and the final say at all times.
Do we need to be a large company for it to pay off?
No. As soon as a repetitive task costs you time every day (qualifying leads, following up, answering the same questions), a well-framed agent pays for itself, including for a small business or an SMB.
How long to put an agent in production?
For a framed use case, count a few weeks between framing and production, supervision included. We aim for a useful, reliable agent, not a project that drags on.
Is our data safe?
We work with proven providers and integrations, limit the data exposed to the strict necessary and frame the access. Security and confidentiality are set from the framing stage, and Canadian companies keep training on their data turned off.
Another question?
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