Most AI projects never make it to production. They start with good intentions, a pilot here, a proof of concept there, but without a clear outcome defined, the right workflows identified, or a plan to deploy and measure, they stall. At Architech, we take a different approach. AI creates value when workflows are redesigned, not when tasks are automated. We work with operationally complex organizations to redesign their workflows with AI and put them into production. Outcomes…
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Redesigning workflows with AI. Deploying them in production. Proving the results.
Full company description
Most AI projects never make it to production. They start with good intentions, a pilot here, a proof of concept there, but without a clear outcome defined, the right workflows identified, or a plan to deploy and measure, they stall.
At Architech, we take a different approach. AI creates value when workflows are redesigned, not when tasks are automated. We work with operationally complex organizations to redesign their workflows with AI and put them into production. Outcomes are measured in production, not claimed in presentations.
We've been designing and building critical business systems for 22 years. Today, we’re focused on bringing that same rigour to help leaders move from AI exploration to measurable results in production.
If you're ready to move beyond pilots, we'd love to talk.
LinkedIn followers
40,148
People associated on LinkedIn
252
Reported office locations
180 John St, Toronto, Ontario M5T 1X5, CA
pl. Juliusza Kossaka 3/8, Kraków, 31-106 31-106, PL
Botega, CO
Hydrabad, IN
Business categories
Software
Enterprise Applications
Web Development
Consumer Applications
Cloud Computing
Mobile
Other recorded names
Architech Solutions
Architech
Specialties
UI/UX Design
Software Architecture
Cloud-Native Development
Mobile Development
API Development
Platform Development
DevOps
DevSecOps
Cloud Application Managed Services
Application Modernization
Digital Transformation
Agile Engineering
Design Thinking
Artificial Intelligence
AI Powered Applications
AI Agents
Agentic AI
MCP
ML Ops
Predictive Analytics
AI Ops
AI Managed Services
AI Search
AI Powered Automation
and AI Powered Document Intelligent
Profile identifies a recruitment agency
No
Reported total investment
0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
7+ YOECandidates need 7+ years in data architecture or engineering, including at least 2 years each with the Microsoft Azure data ecosystem and Databricks. Strong SQL, working Python, and hands-on experience with governance tools and data security are needed, plus strong communication skills.
Microsoft Fabric, Azure Data Factory, Synapse, Power BI, Azure SQL, Databricks