DeployLabs is a Toronto AI consultancy that builds coordinated teams of AI agents to run marketing, operations, sales, and research for owner-operated Canadian businesses with $500K–$50M in revenue.
Most businesses hit a ceiling. The work that grows the company gets buried under the work that keeps it running. Hiring across every function is not realistic. Off-the-shelf tools solve pieces but nothing connects. DeployLabs exists to close that gap — giving small teams the operational capacity that used to require departments they could not afford to build.
Every agent we build has its own permissions, asks for approval before anything important goes out, and logs every action it takes. We run our own company on the same controls.
Most businesses use AI one tool at a time — a chatbot here, an automation there. The tools do not talk to each other. The handoffs between them are manual. The result is a collection of disconnected point solutions that still require a human to coordinate everything.
DeployLabs builds something different: coordinated teams of AI agents that work together as one system. Each agent has a defined role, specific tools, and strict guardrails. They pass work between each other, surface opportunities, and report back. Research feeds into content. Content feeds into SEO. SEO feeds into lead generation.
A two-week diagnostic that maps your workflows, finds the three agent opportunities that save the most admin time, and prices each one as a fixed-price build. You see what gets built, why, and what it costs before you commit.
$2,500 · 2 weeks · credited in full toward a buildEach agent is configured for one workflow, tested against real scenarios from your operations, and handed over with full documentation. Every build includes 60 days of monitoring and tuning after launch.
$7,500 to $15,000 per agent · complex workflows up to $30,000 · 2–6 weeksOptional monitoring, updates, and tuning once the included 60 days end. It is sized to the system you run and quoted in the assessment.
From $500/month · month-to-month · cancel anytimeExecutive-level AI leadership for businesses that need a roadmap, not another vendor. You get 10 to 20 hours of strategy and oversight a month without a full-time executive hire.
From $5,000/month · month-to-month, 30 days' noticeSchema, entity signals, and content built to get your business cited by ChatGPT, Perplexity, and other AI answer engines. It starts with an audit of where you are cited today and what to fix first.
Audit $2,500 · retainers from $5,000/month, 3-month minimumEvery build is scoped and priced in the AI Workflow Assessment, then billed 30% at kickoff and 70% at deployment. Hourly consulting leaves the overrun risk with you; a fixed price keeps it with us.
If the workflow mapping does not surface at least $10,000 CAD in annualized recoverable administrative time, the $2,500 fee is refunded in full. If it does, the fee is credited in full toward your build.
Automation platforms like Zapier and Make run your workflows on their own servers, so the workflows only run there. A DeployLabs build hands over the code, prompts, and configuration, and needs no DeployLabs subscription to keep running.
Every build includes 60 days of monitoring and tuning. After that, the care plan is optional, month-to-month, and can be cancelled anytime.
The same architecture runs six agents on a schedule across three businesses the founder operates. You get a system already running in production, not a prototype.
Christian founded DeployLabs to offer other businesses the AI agent system first built to run the three businesses Christian operates. Christian holds a Master of Management from the Schulich School of Business at York University and a Bachelor of Laws (LL.B), and is a Certified Scrum Product Owner and Certified ScrumMaster.
DeployLabs started when Christian needed to run three businesses simultaneously — each requiring content production, SEO, lead generation, competitive research, and strategic planning. Traditional operations across seven specialist domains were not viable. So the system was engineered instead.
Six agents run on a schedule across three businesses, and their run ledgers record every execution. They have written more than 3,700 documents: drafts, briefs, research notes and posts, counted as files an agent produced rather than as work a client accepted. That system, built and run on Christian’s own businesses, is the architecture DeployLabs deploys.
Beyond internal operations, the same architecture was used to design and ship a production-ready SaaS product from scratch — brand identity, design system, authenticated web application, waitlist pipeline, and automated onboarding — in eight weeks. The infrastructure that runs a business and the infrastructure that builds a product are the same system. That is what gets deployed for clients.
Three phases. No templates. No shortcuts.
We start with your operations, not our product. The AI Workflow Assessment maps your workflows, finds where agents save the most admin time, and scopes a fixed-price build. You see exactly what gets built, why, and what it costs before you commit to the build.
2 weeksEvery agent is configured for your specific workflows, tools, and business rules. We test against real scenarios from your operations before anything goes live. No generic templates. No one-size-fits-all playbooks. The system is built around how your business actually works.
2–6 weeksAfter launch, we monitor agent performance, refine workflows, and add capabilities as your business evolves. You own everything — the agents, the data, the infrastructure. Monthly optimization reviews ensure the system grows with you.
OngoingAutomation handles a task. Autonomy runs a department. We build coordinated AI teams that own entire workflows end-to-end. The difference is whether you're still in the loop for every decision or free to focus on what only you can do.
Your data stays yours. Your system stays yours. We build it, hand it over, and you own everything it produces. No proprietary platforms, no recurring dependencies, no mystery algorithms you can't inspect or move.
Every agent has defined permissions, approval workflows for high-stakes actions, and a full audit trail. You can see what it did, why it did it, and shut it down instantly. Transparency isn't optional.
Every agent operates within defined permission boundaries. No agent has unbounded access to systems or data. API integrations follow least-privilege principles. Credential management uses encryption at rest and in transit. Kill switches provide immediate shutdown capability.
OWASP Agentic AI · NIST CSF 2.0 · Zero TrustYour agents run on systems you control. Some tasks may send information to external AI services. Before launch, we agree with you what can be shared, which services can receive it, and how those services use and retain it.
PIPEDA · Provincial Privacy ActsHigh-stakes actions require human approval before execution. Approval workflows are configurable per agent and per action type. Complete audit trails capture every agent action. No unsupervised autonomous decisions on critical business operations.
Human-in-the-Loop · Configurable Approval WorkflowsSystem architecture is designed to support industry-specific compliance requirements. Specific standards — SOC 2, HIPAA, PCI-DSS, or sector-specific regulations — are scoped during the AI Workflow Assessment and built into the system design from day one.
SOC 2 · HIPAA · PCI-DSS · Industry-SpecificThe AI Workflow Assessment is $2,500 and produces a full implementation roadmap. Custom builds run $7,500 to $15,000 per agent for a single workflow, fixed price. Complex, multi-system workflows run up to $30,000. An ongoing optional care plan runs from $500 a month for maintenance and updates — most systems land between $500 and $2,000 a month, depending on system complexity. Every engagement starts with a free discovery call where we scope the work together.
Most systems are operational within 2–6 weeks from the start of the build phase, depending on scope. The assessment phase (2 weeks) happens first. Timeline depends on the number of workflows being automated and the complexity of your existing tools.
No. The system is designed to be managed by business operators, not engineers. We handle the technical architecture. You interact with the system through dashboards, reports, and approval workflows — not code.
Every agent operates within defined permissions. High-stakes actions require human approval before execution. All agent activity is logged with a complete audit trail. Your agents run on systems you control. Some tasks may send information to external AI services. Before launch, we agree with you what can be shared, which services can receive it, and how those services use and retain it.
You own everything. The agents, the configurations, the data, the infrastructure. There is no proprietary platform locking you in. If you want to take over management entirely, we hand over full documentation and transition support.
DeployLabs is industry-agnostic. The best fit is an owner-operated business whose work spans marketing, sales, content, research, and client management, from law and accounting practices to trades, clinics, and real estate.
Start with a free discovery call. We'll map your operations and show you exactly where AI agents create the most leverage.
Book a Discovery Call →