AI Automation · Canada

AI automation that pays for itself in weeks

WebomAI is an AI automation and AI agent development company based in Mississauga, Ontario, working with businesses across Canada and the United States. We design, build and then operate AI agents and automation pipelines that take repetitive work out of sales, operations and customer support — so your team spends its hours on the work that compounds.

What we commit to

4–6w
typical time to first deployment
24/7
agents run unattended
100%
agent code handed to your repo
PIPEDA
aligned data flows

Most automation projects fail because they treat AI as a feature, not as a system. We approach every engagement as a product: clear success metrics, a tight feedback loop, and shipped value within the first two weeks.

Our team has built agentic systems for Canadian SaaS, fintech and operations-heavy companies — from automated lead enrichment that pays back in 30 days to multi-agent workflows that close support tickets without a human in the loop.

Everything we ship is observable, evaluatable and safe. We instrument prompts, track regression on real conversations, and build human-in-the-loop fallbacks for the edge cases that matter.

What you get

Production-grade agents

We build agents that reason, call APIs, and learn from outcomes — not flaky demos.

Workflow automation

Connect your stack — Slack, HubSpot, Notion, Stripe, Postgres — into intelligent pipelines.

Custom AI assistants

Internal copilots tuned to your data, voice, and domain knowledge.

RAG over your data

Hybrid search and retrieval that actually grounds answers in your sources.

Eval-driven iteration

Real metrics on accuracy, latency, and cost, with golden test sets you control.

Human-in-the-loop

Confidence thresholds and review queues for the cases that matter most.

Deliverables

Everything that lands in your repo, inbox and dashboard at the end of the engagement.

  • Discovery deck mapping every workflow, ROI estimate and rollout plan
  • Production agent code in your repo with full type safety
  • Eval harness and golden dataset for ongoing regression testing
  • Observability dashboards (latency, cost, success rate, drift)
  • Onboarding for your operators and engineers
  • Runbooks for incidents, fallbacks and human escalation

Works with your stack

Fully customizable. Tell us the tools, frameworks and clouds you already use — we build around them, no lock-in.

WebomAI AI EngineLLM orchestrationLangGraphVercel AI SDKn8nTemporalPostgres + pgvectorSupabaseTypeScriptPythonLiteLLM

How we deliver

Step 1
Discover

We map your workflows, find the highest-ROI automations, and align on success metrics.

Step 2
Design

Architecture, data flows, eval criteria, and security model — reviewed together.

Step 3
Build

We ship working agents in weekly increments. You see real progress, not slide decks.

Step 4
Operate

Monitoring, evaluation and continuous improvement as your processes evolve.

AI agent development, specifically

An AI agent is not a chatbot with a nicer prompt. It is a program that decides what to do next, calls real systems to do it, and has to be right often enough to be left alone. Most of the engineering is in the second and third parts, and that is where projects fail.

What we build has a defined scope of authority, a record of every action it took and why, and a human in the loop wherever an action is expensive to undo. That is not a feature we add for regulated clients — it is the only way an agent gets permission to touch a production system at all.

  • A written scope of what the agent may and may not do, enforced in code
  • Tool and API access granted per action, never a blanket key
  • Approval gates on anything irreversible — payments, deletions, outbound email
  • An audit trail of every decision, input and result
  • An evaluation harness with a golden set you own, so regressions are visible
  • Cost and latency tracked per run, not discovered on the invoice

This is the same architecture as Nexus AI OS, our own AI workforce product — governed autonomy, approval gates and hard denies. We build on what we run.

AI automation for businesses in Mississauga and the GTA

We are based in Mississauga, so a good share of this work is done with businesses in the GTA — Mississauga, Toronto, Brampton, Oakville. For local clients the practical difference is that discovery happens in a room, the people building it are the people you met, and there is no timezone between you and whoever is on call.

The work itself is the same wherever the client is: find the process that costs the most hours, automate that one first, measure it, then do the next. We would rather ship one automation that pays for itself than a platform that impresses.

Frequently asked

AI automation is software that carries out a business process end to end, using a language model to handle the judgement steps a rules engine cannot — reading an email, classifying a request, drafting a reply, deciding whether to escalate. It differs from ordinary automation in that it copes with inputs nobody scripted for.

Related services

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