Single-Task Agents
Focused agents for one well-defined job (researching leads, triaging intake, preparing reports) with clear inputs, outputs and success criteria.
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AI Agents That Get Real Work Done, in Production
AI agents go beyond answering questions: they research, decide and take actions across your tools. We design and build single agents and multi-agent systems, where specialized agents hand work to each other, for tasks like lead research, intake triage, reporting and operations. Many agent projects never make it past a pilot; we build for production from the start, with guardrails, monitoring and human approval where it counts.
What AI Agents & Multi-Agent Systems covers
An AI agent is software that uses a language model to plan steps, call tools and complete a task, not just generate text. A multi-agent system splits complex work across specialized agents, for example one that gathers information, one that analyzes it and one that prepares the output for review. We build agents that connect to your real systems through APIs, operate within defined permissions, log every action, and escalate to a person when confidence is low or the stakes are high.
What's included
Multi-Agent Systems
Coordinated agents that divide complex work, check each other's output and hand off to people at the right points.
Tool & System Connections
Agents connected to your CRM, email, databases, calendars and internal APIs, operating within scoped permissions.
Evaluation & Guardrails
Test sets built from your real cases, accuracy thresholds, and approval steps so agents are safe to run in production.
Why it's worth it
- Agents that take actions across your tools, not just chat
- Multi-agent systems for complex, multi-step work
- Guardrails, permissions and human approval points
- Every action logged and auditable
- Evaluated against real examples before launch
- Monitoring for accuracy, cost and failures in production
- Model-agnostic and built to be maintained
How it works
1
Discovery Call
A free call to understand the workflow, the systems involved and what a good result is worth to you.
2
Business Case & Scope
We document the opportunity, the metrics we'll measure, and a fixed-price scope, before any build starts.
3
Build & Measure
We build in phases, test against your real data, and track the agreed metrics from day one.
4
Launch & Improve
We launch, deliver documentation, and review results against the baseline. Optional ongoing support.
How we measure the return
Before we build, we agree what success is worth and measure a baseline. After launch, we report against it.
- Tasks completed by the agent per week
- Staff hours per task, before and after
- Accuracy against human review
- Escalation rate and cost per completed task
We use this in our own products
The same approach runs in software we build and operate ourselves.
Civil ProposalSite research across open municipal, provincial and federal sources, assembled into a scoping report (risk flags, permits and timelines, servicing) and carried straight into a proposal draft.
HelpKelownaReferral navigation across 1,229 listings, plus an automated verification workflow that re-checks every listing each quarter.Pricing
Multi-step work completed by agents, with people approving only what matters
Starting at $4,500 and up to $80,000+ depending on scope. Every project starts with a free 15-minute discovery call. We scope the work in writing, then quote it fixed-price, no surprises, no hourly drift. Ownership and licensing terms are set out in your contract.
Frequently Asked Questions
What's the difference between a chatbot and an AI agent?+
A chatbot answers questions. An agent completes tasks: it can look things up, update records, draft and send work for approval, and move a process forward across several systems.
When does a multi-agent system make sense?+
A multi-agent system makes sense when a task has distinct stages, such as gathering, analyzing, checking, and preparing output. For simpler jobs, a single agent is cheaper and easier to maintain.
How do you prevent agents from making mistakes?+
We use scoped permissions, testing against real examples before launch, and confidence thresholds. Consequential actions require human approval, and every step is logged.
How much does an AI agent cost?+
A focused single-task agent starts at $4,500, and multi-agent systems range up to $80,000+. Every project is fixed-price against a written scope with agreed success metrics.
Ready to get started with AI Agents & Multi-Agent Systems?
Book a free 15-minute consultation and we'll show you exactly how we can help.
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