Taycon AI
AI consulting firm headquartered in Vancouver, BC that designs and deploys AI agents, workflow automation, and decision intelligence systems inside real business operations across North America.
Budget & Pricing
Hourly rate
$150-$199/hr
Min. project budget
$10,000+
Engagement model
Project-based
Services
Industries
Tools & Platforms
Regions Served
Typical Clients
About Taycon AI
Taycon AI builds and deploys AI systems that run inside business operations. They position as a production-focused firm: the deliverable is working systems integrated with your existing tools, not strategy decks.
Recent deployments include an AI sales agent for a 12-person manufacturing team that eliminated manual CRM updates after every call, real-time inventory intelligence for a Western Canada food and beverage distributor that replaced 3-day month-end reconciliation, a quarterly financial close process cut from 12 days to 4 for a 340-person professional services firm, and AI support triage handling 800+ weekly tickets for a B2B SaaS team with 40% faster response times.
Engagements run as scoped assessments, pilots, or full deployment programs. Each includes clear deliverables, measurable outcomes, and integration into existing CRM, ERP, helpdesk, and data systems. Built on Anthropic Claude, OpenAI, LangChain, Hugging Face, and H2O.ai.
Client mix is approximately 55% midmarket ($10M to $1B revenue), 30% small business (under $10M), and 15% enterprise (over $1B). Fully remote across Canada and the United States with in-person availability on request.
Reviews (1)
Project: Supply Control Agent
We worked with Taycon AI to build a Supply Control Agent for our consumables and packaging, and it made a noticeable difference pretty quickly. They got the workflow sorted without overcomplicating it, and we ended up with something that actually fits into how we operate day to day. Inventory tracking is cleaner, reordering is more consistent, and thereβs just less manual back and forth on routine stuff. For the predictable items especially, itβs taken a lot of noise out of the process. Itβs not something we have to think about as much anymore, which was the main goal going in.