Edmonton, Alberta
AI Automation in Edmonton (LLM, Chatbots & ML)
We build practical AI solutions for Edmonton and Alberta organizations. From LLM tools to workflow automation, we focus on measurable impact and secure delivery.
Learn more about our services, or explore our portfolio before you get in touch.

Overview
Our Edmonton AI automation team designs and deploys LLM solutions, chatbots, and automation pipelines that improve efficiency.
What's Included
Our Process
Tech Stack
Looking for budget guidance? See pricing or request a proposal.
Sub-Services
Explore focused delivery tracks for specific stacks, release goals, and post-launch support.
AI Chatbots for Support & Ops
We build AI chatbots integrated with operational workflows, escalation logic, and observability controls for production reliability.
View serviceDocument Automation (OCR + Extraction + Routing)
We build document automation pipelines that extract, classify, and route information with operational checks and auditability.
View serviceAI Agents for Internal Workflows
We implement AI agents that assist internal workflows with controlled actions, escalation logic, and operational oversight.
View serviceML Pipelines & Predictive Models
We build ML pipelines with repeatable training workflows, validation controls, and production monitoring for model reliability.
View serviceAI Integration & Enablement (LLM + RAG)
We integrate LLM and RAG workflows into existing systems with guardrails, observability, and maintainable operations architecture.
View serviceAI Automation in Edmonton
We support Edmonton teams with AI readiness assessments and production‑grade automation.
Serving St. Albert, Sherwood Park, Spruce Grove, Leduc, Beaumont, and Fort Saskatchewan.
Local delivery model
- Workshops for AI readiness and use‑case discovery.
- Remote or hybrid collaboration with Edmonton‑friendly hours.
- Responsible AI and security‑first delivery.

Why MMB Tech
Product Strategy & UI/UX
We align product goals with real user needs, then translate them into intuitive flows and polished UI systems.
Engineering, Security & QA
Clean architecture, performance tuning, and rigorous testing help ensure reliability across devices.
Launch & Adoption
We launch with analytics events, onboarding tracking, retention signals, monitoring, and iteration backlogs for steady product improvement.
Proof
- Typically weekly demos and stakeholder check‑ins
- Milestone approvals to reduce delivery risk
- Source code ownership and handover (standard practice)
What We Build
LLM Applications
Custom LLM tools for knowledge search and productivity.
Chatbots
Customer support and internal automation assistants.
Document AI
OCR and automated document processing pipelines.
Predictive Analytics
Forecasting and insights based on structured data.
Workflow Automation
Automate repetitive tasks and approvals.
MLOps & Monitoring
Production monitoring, evaluation, and iteration.

Industries We Serve
We support Edmonton organizations in operations, customer support, and data‑heavy workflows without claiming specific clients.
Deliverables
Documentation, training, and handover are included for AI deployments.
Engagement Options
Fixed Scope
Pilot or prototype with clear objectives.
Sprint‑Based
Iterative delivery with rapid validation.
Dedicated Team
Long‑term AI roadmap delivery.
Timeline Expectations
Typical delivery windows based on data readiness and complexity.
What Impacts Cost
These factors influence AI automation cost and scope.
Estimate Inputs
We provide a fixed quote after discovery.
Request a detailed quoteEdmonton Narrative / Case Study Snapshot
An Edmonton operations team handled high volumes of service requests through email and spreadsheets. The process was slow, error‑prone, and difficult to scale. They wanted AI automation to improve response times and reduce manual work without compromising data security.
We started with an AI readiness assessment to understand data sources, compliance requirements, and high‑value use cases. The team prioritized document extraction, automated routing, and a conversational assistant for internal knowledge.
A pilot solution was built using LLM tooling and workflow automation. We connected it to existing systems, introduced role‑based permissions, and designed monitoring dashboards to track accuracy and usage. The automation reduced manual handoffs and improved response consistency.
The roadmap now includes additional workflows, analytics improvements, and expanded AI assistance across departments, all supported by responsible AI practices and ongoing monitoring.


FAQ
Do you build AI chatbots?
Yes. We build secure chatbots for customer support and internal workflows.
Can you integrate OpenAI or other LLMs?
Yes. We integrate OpenAI, Claude, and other LLMs based on requirements.
Do you work with private data?
Yes. We implement secure data handling and governance practices.
Can you automate document processing?
Yes. We build OCR and document automation pipelines.
Do you offer AI strategy or readiness assessments?
Yes. We can assess data, use cases, and feasibility.
Do you provide monitoring and evaluation?
Yes. We build dashboards and monitoring for AI performance.
Can you integrate AI into existing software?
Yes. We build APIs and integrations for existing systems.
Is AI automation secure?
We follow security best practices and can support compliance needs.
How long does AI automation take?
Pilots can take weeks, while production systems require more time depending on complexity.
Do you provide ongoing AI optimization?
Yes. We provide model monitoring, retraining, and performance tuning.

Ready to launch AI automation in Edmonton?
Tell us about your data and workflows and we’ll design a safe, scalable solution.
