AI Implementation
From strategy to production — shipped.
Hands-on engineering teams that ship production-grade AI systems on your stack.
What this engagement is.
AI implementation is where most initiatives die. SAZ implementation teams ship production AI systems — retrieval, agents, automations, copilots — built on your data, deployed into your stack, monitored, and supported.
What you should expect.
Outcome-led scoping — every engagement is measured against specific business outcomes.
- Production-grade AI systems live in your environment
- Monitoring, evals, and on-call coverage
- Documentation and enablement for your team
- A clear roadmap for the next builds
What the team brings.
RAG & Retrieval Systems
Production retrieval over your unstructured data.
Agentic Workflows
Multi-step agent systems with tool use and human handoff.
Copilots & Assistants
Domain copilots embedded in your apps and workflows.
Evals & Observability
Production-grade evaluation and monitoring.
How an engagement runs.
Scope
Pick the right first build — high value, low surface area.
Ship
Build, integrate, and deploy in 8–12 weeks.
Operate
Monitor, eval, and iterate after launch.
Questions buyers ask.
AI Implementation across Canada.
SAZ delivers this engagement across our Canadian footprint — from Vancouver to Halifax.
Engagements that pair with this.
AI Consulting
End-to-end AI advisory: where AI creates value, how to build it safely, and how to ship it.
AI Agents
Multi-step AI agents that complete real tasks across your tools, with the supervision they need.
AI Workflows
Map, redesign, and automate workflows with AI-native architecture.
Want to scope a AI Implementation engagement?
A senior partner will respond within one business day.