Core Service

AI Agent Development

Custom AI agents configured to automate parts of your lead qualification, support triage, scheduling, and document workflows — reducing manual work without adding headcount.

Four Categories of AI Agents

Every agent is purpose-built for your business — configured to your processes, integrated with your tools, and monitored by our team.

Lead Qualification Agents

Engage new leads from web forms, email, or other connected channels. The agent can qualify intent, score the lead based on configured criteria, and hand off to your calendar — reducing response time significantly in the right workflow.

GPT-4o HubSpot Calendly Twilio

Customer Support Agents

Can handle a range of common support queries using your knowledge base. Configured to escalate exceptions and complex cases to your human team based on defined thresholds — with your team remaining in the loop on edge cases.

Claude 3.5 Zendesk Intercom Slack

Document Processing Agents

Can extract, validate, and route structured data from invoices, contracts, and forms in suitable workflows — reducing manual data entry where document formats are consistent and well-defined. Performance depends on document quality and integration setup.

GPT-4o Vision QuickBooks DocuSign Google Drive

Voice AI Agents

Can handle inbound and outbound calls for appointment reminders, lead follow-up, and surveys in configured scenarios. Designed for extended availability — performance depends on call quality, script complexity, and integration stability.

ElevenLabs Twilio Voice Deepgram GPT-4o

Conversational Web Chatbots

Deploy an AI assistant on your website that answers product questions, captures leads, and books demos — fully integrated with your CRM and knowledge base.

OpenAI Assistants Salesforce Drift Custom API

Internal Operations Agents

Automate repetitive internal tasks — HR onboarding, IT helpdesk requests, data reconciliation, and report generation — freeing your team for high-value work.

Zapier Make Notion Airtable
From Discovery to Live Agent
01

Workflow Mapping

We interview your team, observe your tools, and document the exact steps of the process we're automating.

⏱ Days 1–3
02

Agent Architecture

We design the agent's decision logic, tool integrations, fallback paths, and human escalation criteria.

⏱ Days 4–6
03

Build & Test

We build the agent, connect it to your tools, and run extensive testing with real-world edge cases before launch.

⏱ Days 7–18
04

Deploy & Train

We go live, train your team on oversight, and monitor the first 30 days closely to tune performance.

⏱ Days 19–30
Built on Proven AI Infrastructure

We choose the right model and infrastructure for each use case — not the most expensive one.

Language Models

OpenAI GPT-4o Anthropic Claude 3.5 Google Gemini Pro Llama 3 (self-hosted)

Orchestration & Agents

LangChain LangGraph OpenAI Assistants API CrewAI

Automation Platforms

Make (Integromat) Zapier n8n Custom Node.js
What Well-Matched Deployments Can Achieve
<2 min
Typical lead response time in suitable, integrated workflows — actual results depend on setup and process design (example outcome)
Up to 70%
Potential reduction in routine support tickets handled by humans — in deployments with a well-maintained knowledge base (results vary)
10–20 hrs
Typically saved per week in suitable, repeatable workflows — varies by process complexity and volume
Often <90 days
Payback period in well-matched deployments — depends on workflow volume, scope, and team adoption (results vary)

These reflect example outcomes from suitable deployments, not guaranteed results. Actual performance depends on process quality, integration availability, data consistency, and your team's involvement during rollout.

AI Agent Development — Frequently Asked Questions

An AI agent is a software system that can take action — not just respond to text. Unlike a simple chatbot, an AI agent connects to your business tools (CRM, email, billing software), follows configured decision logic, executes multi-step workflows, and escalates exceptions to your team. It operates within defined rules and review thresholds, with your team overseeing outcomes.

Most custom AI agents go live within 2–4 weeks. The timeline depends on the number of integrations, complexity of decision logic, and testing requirements. We follow a phased approach: discovery (week 1), build (weeks 2–3), testing and launch (week 4).

AI agents excel at lead qualification, appointment booking, invoice processing, customer support triage, document extraction, HR onboarding workflows, inventory alerts, and internal approvals. If a task follows repeatable logic, an AI agent can likely handle it.

No. We build agents that your team interacts with through dashboards and simple interfaces — not code. Our Managed AI Operations service handles monitoring, tuning, and updates on an ongoing basis.

Custom AI agent projects typically start at $3,500 CAD for a focused single-workflow agent. Multi-agent deployments with complex integrations are scoped after a free strategy call. Our AI Readiness Audit ($499) is the best first step if you are unsure where to start.

Yes. We use encrypted API connections, OAuth-based authentication, and design data flows that keep sensitive information within your existing infrastructure. We never store your customer data on third-party servers without your explicit consent.

Ready to Deploy Your First AI Agent?

Book a free 30-minute strategy call. We'll identify the highest-ROI automation opportunity in your business and show you exactly how we'd build it.