Put one useful AI agent
to work in one focused
hour.
Start with a required $500 qualifying call. If it is a fit, put one useful AI agent to work for $3,000 upfront, with optional $200/month management after handoff.
Start with the call. Then make the agent useful.
The $500 qualifying call is required before the integration. If it is a fit, the integration is $3,000 upfront, followed by optional $200/month management after handoff.
Start here. Identify the right workflow, confirm fit, and define the outcome for the integration.
After the qualifying call, connect one useful AI agent to a real workflow in one focused hour.
Keep the agent useful with coaching, maintenance, and practical iteration after handoff.
Qualifying call required before integration. The $3,000 integration is paid upfront; $200/month management is optional after handoff.
The right amount of AI for the workflow in front of you.
Agents built to handle specific, recurring tasks in your organization: document review, decision routing, information synthesis, workflow management.
End-to-end automation of high-frequency operational processes: replacing manual handoffs, data entry, reporting, and status updates.
AI systems that improve the quality and speed of decisions: surfacing relevant information, summarizing options, and flagging risks before they compound.
Auditing the existing AI and software stack for redundancy, gaps, and misalignment, then rearchitecting it so the tools actually work together.
Workflows, fit, and implementation
An agent connected to a workflow you already use.
We start with one recurring task an agent can help with. We connect it to your existing tools, test it with your team, and show you how to run it.
You get a working setup your team can run themselves. If you want another set of eyes, ongoing management adds coaching and maintenance without turning the agent into a dependency.
A narrow, practical session aimed at one workflow and one useful outcome.
You can manage the agent yourself, with optional expert support when you want it.
The operational load that AI is actually ready to take on.
Workflow first. Agent second.
Start with a recurring task that takes up your team's time. Agree on what the agent should do and when a person should take over, then check whether it reduces the work.
Map existing workflows, identify where manual overhead is highest, and define the operational outcome the integration needs to serve.
Decide which steps the agent will handle and which need a person. Then select or build the tools to support that split.
Build the custom agents, automations, and integrations. Test against real workflows, not synthetic scenarios.
Hand off production-ready systems with documentation the team can maintain. The output is infrastructure that works after the engagement ends.
Frequently asked about AI agent integration
- What is AI agent integration?
- It is the practical work of connecting an AI agent to one existing workflow so it can handle a defined task, route information, or support a decision without adding another disconnected tool.
- What happens in the one-hour integration?
- We focus on one workflow, connect the agent to the tools and context it needs, test the handoff, and leave you with a setup your team can operate.
- Can we manage the agent ourselves?
- Yes. The integration includes a clear handoff so you can manage your own agent. The optional $200/month management plan is for coaching, maintenance, and ongoing improvement when you want expert support.
- What if we do not know which workflow to start with?
- Everyone starts with the required 20-minute qualifying call for $500. We use it to identify the workflow, confirm fit, and make sure the one-hour integration is focused on the right outcome.
- Do I need technical infrastructure in place before starting?
- No. Bring the tools and process you already have. We keep the first use case narrow and work from the operational outcome backward.