Custom AI agents that handle the busywork between your systems

A standard automation follows fixed rules: when X happens, do Y. An AI agent can handle steps that need judgment, like reading a messy email, deciding what it's about, looking up the right information, drafting a response and choosing the next action.

The best AI agents for business aren't general-purpose "do anything" bots. They do one job well, inside clear boundaries, with a person approving anything that matters.

• Inbox triage agent: sorts incoming email, summarizes threads, drafts replies from your knowledge base and flags anything urgent.
• Lead research agent: enriches new leads with public company information and scores them before they reach your sales team.
• Proposal and quote agent: drafts proposals from a call transcript or form, using your templates and pricing rules, ready for your review.
• Document processing agent: reads invoices, receipts, purchase orders or applications and enters the data into your systems.
• Support drafting agent: drafts answers to customer tickets from your help docs, so your team edits and sends instead of writing from scratch.
• Reporting agent: pulls numbers from your CRM, ads and analytics each week and writes a plain-English summary.

• One job, clearly defined. We scope each agent around a task with a measurable outcome, like hours saved or response time.
• Least access. The agent gets only the permissions it needs, nothing more.
• Human in the loop. Actions with consequences, like sending emails, changing records or spending money, wait for approval until you're confident.
• Tested against real cases. Every agent is checked against a set of real examples before launch, and again after every change.
• Logged and reversible. Every action is recorded, so you can see exactly what it did and why.
• Cost controls. Usage limits and alerts so AI costs never surprise you.

Claude, GPT and Gemini models · OpenAI and Anthropic agent frameworks · n8n AI agent workflows · Model Context Protocol (MCP) servers to connect agents to your own data and tools · Supabase and vector databases for memory and search · Slack, Microsoft Teams, Gmail and Outlook as interfaces your team already uses

1. 1

   Choose a package and pay online.

2. 2

   Workflow interview:

   we map the task step by step, including the exceptions.

3. 3

   Design:

   you approve what the agent will do, what it can access and where approvals sit.

4. 4

   Build and test

   against real examples from your business.

5. 5

   Supervised launch:

   the agent runs with approvals on while you review its work.

6. 6

   Hand over control

   gradually as accuracy is proven, with documentation and logs.