AI Agent Development & Automation
Custom AI agents for business, built and deployed by Pine & Birch: a working pilot in weeks, then a secure production system your team relies on. Book a call.
How a controlled agent is delivered
- Scope the tasksDefine what the agent may do
- Connect the toolsGrant only the access each task needs
- Add approvalLog actions and review risky steps
- Pilot, then expandTest real work before wider rollout
AI Agents That Do the Work, Not Just Answer Questions
A chatbot answers a question. An AI agent completes a task: it reads the order, checks the inventory system, drafts the reply, updates the record, and asks a human only when something needs judgement. That difference is where the cost savings actually live, and it is the difference between an AI demo and an AI employee.
Pine & Birch designs, builds and deploys custom AI agents for small and mid-sized businesses across Toronto, Ontario and North America. We connect agents to the systems you already run — your CRM, ERP, order management, Slack or Microsoft Teams, email — with the permissions, audit trail and human sign-off that let you trust them with real work.
What We Build
- ✔ Internal AI employees — agents that live in Slack or Teams and handle order management, status lookups, document processing and internal requests
- ✔ Customer-facing agents — 24/7 intake, qualification, support triage and appointment booking that hand off to your staff cleanly
- ✔ Knowledge agents (RAG) — answers grounded in your own documents, policies and project history, with a source citation on every reply
- ✔ Workflow and back-office automation — invoices, quotes, data entry, reporting and reconciliation that currently eat staff hours
- ✔ Admin console and access control — add and remove users, set role-based permissions, review every action the agent took
How an AI Agent Engagement Works
We start with a short discovery: which tasks repeat, which systems they touch, and where a mistake would be expensive. Then we ship a working pilot in weeks, not quarters — one workflow, real data, a small pilot group. Only once it earns trust do we widen it.
Two things separate agents that get used from agents that get abandoned: grounding and guardrails. Grounding means the agent acts on your data and shows its sources rather than guessing. Guardrails mean human approval stays wherever errors are costly, every action is logged, and permissions are enforced per role. We build both in from day one, which is why our agents survive contact with real staff and real customers. See how this looks in practice in our enterprise AI agent case study.
Why Now: AI Has Changed the Economics of Software
The same AI that powers these agents has also cut the cost of building them. Work that took a team a quarter now takes a small senior team weeks. That means an AI agent, a custom internal tool or a full platform is now within reach of businesses that could never have justified it before — more capability, at a fraction of the traditional cost. If you want a quick sense of the numbers for one workflow, try our free AI ROI calculator.
Tell us the one task you'd most like to stop doing by hand. In a 30-minute call we'll tell you honestly whether an AI agent can take it, what it would cost, and how fast it could be live.
Book a Free AI Agent Consultation