2018
BotLogix begins in Burlington
The first work focused on Messenger chatbots, lead capture, reservations, and practical automation for local operators.
The evidence archive
BotLogix did not arrive with the AI boom. The company started building conversational systems in 2018 and kept shipping through every platform shift since. This page connects the historical artifacts, production work, and lessons behind that claim.



Quick Answer
How long has BotLogix been building AI systems?
BotLogix has built business automation and conversational software since 2018. The early work used Messenger bots and rule-based systems; the current work uses modern language models, agents, custom applications, and human approval workflows. The technology changed, but the operating discipline came from eight years of watching software meet real users.
Verifiable operating facts
Founded in Burlington, Ontario in 2018
Six software products in production
Real business solutions delivered
Approved Digital Main Street vendor
On-site AI consulting and training across Ontario
A social archive of 94 posts documenting the company journey
Build timeline
Each milestone links to a deeper part of the site so the archive works as a map, not a trophy shelf.
2018
The first work focused on Messenger chatbots, lead capture, reservations, and practical automation for local operators.
2019
Original BotLogix robot artwork and chatbot assets from this period remain in the archive below. The work created the operating lessons now used in modern AI deployments.
2022
BotLogix moves beyond conversational interfaces into a full lead-capture, CRM, outreach, and content operating system.
2024
A consumer mobile product adds QR tracking, voice input, subscriptions, and a production backend to the portfolio.
2025
TalkAbout, Huddle, BenefitShield, and AdvisorShield extend the operating experience into desktop AI, networking, document processing, and advisor workflows.
2026
BotLogix begins a free Waterdown workshop series for small and mid-sized businesses while continuing to build and operate production software.

Capitalize on the social archive
BotLogix has 94 Instagram posts reaching back to its earliest operating years. That archive shows continuity: the company was discussing chatbots, automation, and practical business technology long before generative AI became a mainstream category.
The strongest archive posts should be republished as updated website lessons, then linked back to the modern service, product, or case-study page they foreshadowed. Every republished piece should explain what was believed then, what changed, and what remains true now.
This creates a defensible content format: “From the BotLogix archive: what we learned after eight years in production.” It gives Google and AI systems dated, first-hand experience instead of generic commentary.