Multiply your output across every function — 24/7.

Your Next Competitive Edge Is a Business Function That Runs Itself.

Built on the same agent architecture that runs our own four businesses — within guardrails you define, secured from day one.

Book a Call →Free Readiness Scorecard — 10 minutes

Human approval gates · Full audit log · Client-owned infrastructure · Defined rollback

Integrates with the tools you already use
SlackGmailOutlookMicrosoft TeamsWhatsApp BusinessTwilioHubSpotSalesforcePipedriveCloseGoHighLevelCalendlyCal.comGoogle CalendarAcuityNotionAirtableAsanaMonday.comClickUpTrelloJiraLinearStripeQuickBooksFreshBooksXeroWaveMailchimpConvertKitActiveCampaignResendBeehiivBufferHootsuiteCanvaZapierMaken8nShopifyWooCommerceGumroadGoogle SheetsGoogle AnalyticsMixpanelGoogle DriveDropboxOneDriveDocuSignLinkedInInstagramFacebookXGitHubOpenAIAnthropicSupabaseVercelAWSSlackGmailOutlookMicrosoft TeamsWhatsApp BusinessTwilioHubSpotSalesforcePipedriveCloseGoHighLevelCalendlyCal.comGoogle CalendarAcuityNotionAirtableAsanaMonday.comClickUpTrelloJiraLinearStripeQuickBooksFreshBooksXeroWaveMailchimpConvertKitActiveCampaignResendBeehiivBufferHootsuiteCanvaZapierMaken8nShopifyWooCommerceGumroadGoogle SheetsGoogle AnalyticsMixpanelGoogle DriveDropboxOneDriveDocuSignLinkedInInstagramFacebookXGitHubOpenAIAnthropicSupabaseVercelAWS
What We Do

We build custom, secure, autonomous AI agents that run your business across operations, marketing, sales, and growth — 24/7, within guardrails you set. From one-off projects to a Fractional AI Officer embedded in your strategy, we meet you where you are.

11:47 PM

First-response speed is the conversion lever. Your agents respond in 52 seconds.

A lead comes in at midnight. Your Sales Agent qualifies them against your criteria. Your Marketing Agent writes a personalized follow-up referencing relevant work. Your Scheduling Agent books the discovery call and syncs your calendar. Your Research Agent prepares a pre-call brief by morning. Four agents, one workflow, zero input from you.

Leads that used to go coldConverted overnight
Every Day

Your agents handle 15-20 hours of operational work per week — content, research, outreach, reporting. You spend that time on clients and growth.

A new client signs. Your Client Success Agent sends the welcome email and intake form. Your Operations Agent creates the project workspace. Your Scheduling Agent books the kickoff call. Your Strategy Agent drafts the first deliverable outline from the intake responses. They coordinate across your tools — email, calendar, CRM, project management — without waiting for instructions.

Hours returned weekly15-20
Weeks 1 — 3

Your customers search online before they buy. If they can't find you, they find your competitor.

Your Research Agent identifies content gaps in your market. Your Content Agent writes SEO articles targeting those gaps. Your Web Development Agent builds and deploys your site. Your SEO Agent generates schema markup and submits your sitemap. They run in parallel — your online presence goes from nothing to ranking on Google and cited by AI search engines in weeks, not months.

Online presenceBuilt and ranking
Built Responsibly

You stay in control. Always.

Your engine acts on your behalf, but nothing happens without guardrails. You decide what each agent can touch, what needs your approval, and what runs autonomously. We build it. You own it — the engine, the data, and everything it produces.

Your Controls
Agent permissions — You set the boundaries. Each agent only accesses what you allow.
Approval workflows — Sensitive actions wait for your green light before executing.
Full audit trail — Every action logged. You can see exactly what happened and why.
Kill switch — One command shuts down any agent or the full engine. Instantly.
Security Infrastructure

Every engine is designed and controlled against production-grade security frameworks before it goes live.

OWASP Agentic AINIST CSF 2.0ISO 27001Zero Trust

Credential encryption. Continuous monitoring. Adversarially tested against a documented internal red-team suite.

55,000+ actions inspected1,000+ blockedDaily red-team

One month on our own fleet. Framework mappings, not certifications.

Built for Small Teams Running Big Operations

If this sounds familiar, your business is ready.

Leads wait. Follow-ups slip. You keep catching what falls through.

Your most expensive hours go to proposals, scheduling, and status updates.

Revenue has grown. Operations have not kept up.

Platform-Agnostic

We deploy on the platform that fits your business.

Every system is custom-built on the right foundation for your operations, your compliance requirements, and your budget.

ClaudeClaudeChatGPTChatGPTMicrosoft CopilotCopilotGoogle GeminiGeminiPrivate AIPrivate AIMulti-AgentMulti-Agent
Explore All Platforms →
The Proof

“I engineered a system that runs three businesses.

I was running a media production business. I couldn't keep up with everything it demanded, let alone grow. So I built an engine. Eight AI agents that handle strategy, development, marketing, operations, and security.

That engine didn't just free up my time. It made it possible to grow from one business to three. Today I run three businesses and fifteen active projects. The engine has produced 500+ professional deliverables across seven specialist domains. The same architecture powers every engine we build for clients.

0
Active Agents
0
Outputs Produced
0
Live Projects
0
Monthly Value
See the Work

What the agents can do...

Lead Response EngineService Business
Live
[11:47 PM] New inquiry from Mark D. — "Looking to deploy autonomous AI for our client intake process"
[11:47 PM] Lead qualified: Budget $7-10K, decision-maker, timeline 30 days
[11:48 PM] Personalized follow-up sent with relevant case reference (response time: 52 seconds)
[11:49 PM] Discovery call booked — Wednesday 10:00 AM (calendar synced)
[08:00 AM] Pre-call brief generated: company size, tech stack, 3 agent deployment opportunities identified
Content RepurposingAny Business
Live
Source: "Why Most Businesses Fail at AI Implementation"
→ LinkedIn post (hook + CTA)
→ Twitter thread (5 tweets)
→ Newsletter section written
→ IG carousel + caption
Status: Ready for review
Morning Business BriefAny Business
Daily
Leads: 3 new, 2 qualified, 1 booked
Revenue: $4,200 invoiced
Overdue: $1,800 (follow-up sent)
Tasks: 12 completed, 3 flagged
Win: New lead converted to discovery call
Client OnboardingAgency
Live
[2:15 PM] New client signed: Meridian Creative Co.
[2:16 PM] ✓ Welcome email sent with onboarding guide
[2:17 PM] ✓ Intake questionnaire delivered
[2:18 PM] ✓ Project workspace created in Notion
[2:19 PM] ✓ Kickoff call booked — Mar 14, 10:00 AM
Total time: 4 min (was 3 hours)
See Use Cases →
In Action

Results from the engine in action

Three industries. Three different engines. Each one built to solve the bottleneck that was costing the most.

Real StoryGrowth
500+Deliverables produced

I Didn't Hire a Team. I Built One.

One founder. Three businesses. Eight AI agents producing 500+ deliverables across seven specialist domains. This is the architecture we deploy for every engagement.

7 agents deployed
See how it works →
Real StoryGEO
17 DaysZero to cited on 4 channels

We Got Cited on Google Page 1, ChatGPT, Perplexity, and Grok in 17 Days.

Zero domain authority. Zero backlinks. 17 days later: 6 pages on Google page 1, cited by ChatGPT, Perplexity, and Grok. 13 articles, 5 agents, one content strategy that won both channels simultaneously.

5 agents deployed
See how it works →
ScenarioAgencyGrowth
60%Less time on non-billable work

How a Growing Agency Is Designed to Run Like a 20-Person Operation

An 8-agent design is intended to eliminate the coordination tax that was killing margins. 5-agent assignments handle proposals, onboarding, handoffs, reporting, and capacity tracking — freeing the team to focus on billable work.

5-agent design
See how it works →
See all scenarios →
How We Work With You
1
Discovery

We map your business operations. Every workflow. Every bottleneck. Every task that eats your time. We figure out what your AI engine will run.

2
Build

We design and deploy your custom system. Each agent gets a role, tools, and constraints. They learn your processes, your voice, your standards.

3
Deploy and Run

Your AI engine goes live. It sends emails, qualifies leads, generates reports, and runs operations autonomously. You monitor results and expand capabilities. We keep it sharp.

Pricing

Every engine starts with the AI Workflow Assessment.

You own everything we build. We operate it for you.

AI Workflow Assessment

See it working before you commit to a build.

$2,500one-time engagement
Timeline: 2 weeks

$2,500 credited in full toward any build.

Book Your AI Workflow Assessment →

Not ready to commit? Take the free 10-minute Readiness Scorecard →

What's included
  • 90-minute discovery session
  • Three-workflow cost map (hours, errors, delay)
  • AI readiness score (7 dimensions)
  • Working prototype agent on your #1 workflow
  • Roadmap with go/no-go + exact build quote
  • Executive briefing + board-ready report

After your assessment, we build your engine. That could be a focused setup handling your biggest pain point in 1-2 weeks, a coordinated system across your full workflow in 2-3 weeks, or a complete engine across your entire operation in 4-6 weeks. The assessment tells you exactly what your business needs and what it costs.

Every build ships with 90 days of monitoring and tuning included in the build price — we watch the agents against real traffic, catch edge cases, and measure your before-and-after in real numbers.

Build engagements run $7,500 to $15,000 per agent — fixed price, scoped in the assessment. 90 days of monitoring and tuning are included. After that, optional on-call support continues month-to-month — cancel anytime, the system stays yours and keeps running.

See Our Cost Breakdown →

Canadian buyers: SR&ED credits and BDC LIFT financing may reduce your effective cost. Financing options →

FAQ

Pricing questions, answered.

AI implementation costs range from $50–500/month for off-the-shelf SaaS tools to $10,000–50,000+ for custom autonomous workflows. DeployLabs offers a $2,500 AI Workflow Assessment that includes a working prototype agent, operations audit, and implementation roadmap — credited in full toward any build engagement. The assessment is designed to pay for itself through the labor savings and subscription consolidation it identifies.
Businesses with repeatable processes, digital communication, and at least one workflow bottleneck are typically ready. DeployLabs evaluates readiness across 7 dimensions — data maturity, process documentation, infrastructure, team capacity, security posture, integration complexity, and ROI potential. Published industry research suggests AI projects with formal readiness assessments are more likely to deliver than those without, though reported magnitudes vary across studies.
An AI readiness assessment audits your current operations and tells you what to build, in what order, and what it should cost. DeployLabs’ assessment is two weeks and six deliverables: a 90-minute discovery session, your three costliest workflows mapped in dollars, a 7-dimension readiness score, a working prototype agent on your top workflow, a roadmap with an exact scoped build quote, and an executive briefing. The $2,500 fee is credited in full toward any build.
For most SMBs, starting with an AI consultant to define strategy and deploy initial workflows is more cost-effective than hiring in-house. DeployLabs deploys production-ready autonomous AI engines scoped to your workflows, then hands off a system your team owns and operates — combining consultant expertise with permanent infrastructure.
The primary risks are employees inputting sensitive data into consumer AI tools, shadow AI usage without IT oversight, and unmonitored autonomous agents. DeployLabs deploys every AI engine with production-grade security — credential encryption, agent permission boundaries, complete audit trails, and kill switches — designed against OWASP Agentic AI, control-mapped to NIST CSF 2.0, and built on Zero Trust principles. NIST CSF is guidance, not certification; DeployLabs is not certified.
DeployLabs completes a full AI Workflow Assessment in 2 weeks, including a working prototype agent running against your real workflows. Full deployment takes 2–6 weeks after assessment depending on scope — 1–2 weeks for a single workflow, up to 6 weeks for enterprise-wide multi-agent systems with phased rollout.
You do. DeployLabs builds the autonomous AI engine around your workflows, your tools, and your data. You own the system, the documentation, and everything it produces. If you end the engagement, the workflows keep running in your environment.
DeployLabs deploys the same autonomous AI infrastructure for individuals — personal agents that handle email triage, scheduling, research, content creation, and finance tracking. Pricing depends on the workflows you want to automate; book a call for a quote. Learn more about Personal AI Engines →
Free Tool

Find out what an AI engine can run for your business.

Answer a short questionnaire about your current operations. We evaluate which functions AI agents can take over, which bottlenecks disappear first, and what a custom engine would realistically run. Then we send you a personalized report.

Get Your Free Readiness Scorecard→

Takes 10 minutes. No sales call required.

Serving the GTA

Local pages for our priority markets: AI consulting in Toronto and AI consulting in Hamilton. Same owner-led team, same 30-minute assessment, deployed remotely across the region.

Whether you're building your first engine or scaling one across the organization — it starts with a conversation.

30 minutes. We map your business, identify the highest-impact opportunities, and scope your engine. No obligation.

Book a Call →

Not a business? Get your own personal AI engine →