Stop doing work a machine can do better. We design and deploy custom AI agents that handle real business tasks: lead qualification, client follow-ups, content generation, data extraction, reporting, and more. They run continuously, without supervision.
Not a ChatGPT wrapper. Custom agents designed around your specific business logic and data.
We start by mapping which tasks are best handled by an agent, what data they need, and what decisions they should and should not make. Clear scope before any build begins.
The agent is designed around your specific workflow: what triggers it, what it does step by step, how it handles edge cases, and when it escalates to a human.
Connected to your CRM, email, project management, Slack, spreadsheets, or wherever your data lives. Agents operate inside your existing stack, not outside it.
We configure the agent with your brand voice, client data, internal processes, and business rules. It responds and acts like someone who knows your business, not a generic AI.
The agent is tested against real scenarios before going live. We validate accuracy, edge case handling, and output quality before you ever see it in production.
Post-launch monitoring setup so you can see what the agent is doing. A support window to tune and improve based on real-world performance.
From discovery to a live, working agent in your stack in under two weeks.
We map the task, the data involved, the decision logic, and what a successful output looks like.
Full agent blueprint including trigger conditions, workflow logic, integration map, and escalation rules.
We build, integrate, and rigorously test the agent against real scenarios before it goes anywhere near production.
Live deployment with monitoring. We stay close for the first two weeks to tune and iterate based on real outputs.
Experience how a real AI agent responds to common business scenarios
Want this for your business? Map your first agent →
AI agent projects are scoped based on complexity, integrations, and the number of agents. We quote after discovery.
A focused AI agent handling one real business task. Running in your stack, connected to your tools, trained on your context.
20-minute scoping call first. No pitch deck. No commitment. Just a clear scope and price before you decide anything.
We primarily build on n8n, Make, and OpenAI/Anthropic APIs depending on the use case. For more complex multi-agent systems we work with LangChain and custom Python infrastructure. We choose the right tool for the job, not a one-size-fits-all platform.
Only the data you explicitly give it access to. We design permission scopes carefully and document exactly what the agent can read, write, or take action on. Nothing is connected without your review and sign-off.
Every agent is built with human escalation checkpoints for high-stakes decisions. The agent flags the situation and waits for human input rather than guessing. We also build in logging so every action is traceable.
Most single-agent builds take 7 to 14 days from scoping call to live deployment. Complex multi-agent systems with deep integrations may take 3 to 4 weeks. We give you a clear timeline after the discovery session.
Yes. Many clients start with one agent and expand. We can build a suite of connected agents that work together across your operations. We scope these together to ensure they share context and do not conflict.
20-minute scoping call. We will map the right agent, show you what it would do, and give you a clear scope and price. No obligation.
Map your first agent →