AI and automation for the business that runs on you.

Automation carries out work using rules you define. It’s fast and predictable, and it can be set up to hand exceptions back to you. AI helps when the information is less structured, such as interpreting a messy email or finding a number in a document whose layout has changed. Many solutions use both.

Yes. You don’t need to know which tools to use or what to build. We start by looking at how work moves through your business, then identify one or two places where AI or automation could make a practical difference. You don’t need to be an expert in the tools. That’s our job.

No. Sometimes the answer is a better process, a feature in a tool you already pay for, or straightforward automation. We’ll tell you when AI isn’t the right fit. The goal is to make work run more smoothly and reduce the amount you have to manage yourself. We recommend the approach that fits the problem.

Not necessarily. We start by reviewing what you already use and build on it where practical. Any proposed changes are discussed before you commit.

An AI agent uses AI to carry out a task through a series of steps. It can work with information, use connected tools, and choose what to do next. We define which tools and information it can access, what it can change, and when it needs human approval. Some steps can run automatically; others pause for review. The level of independence depends on the task and the risks involved.

ChatGPT and Claude can already carry out some agent tasks, and an existing tool may be enough for your business. The question is how the work needs to run: which systems it connects to, what triggers it, what it can change, and when it needs your approval. We help you decide whether an existing tool meets those needs or whether you need a solution built around your workflow.

Agents can help with work that involves reading, interpreting, or preparing information across several steps. Examples include sorting and routing incoming email, extracting information from invoices and forms, drafting replies and follow-ups, and checking systems for mismatched records. A useful starting point is work you can explain clearly to another person, including when they should stop and ask for help.

Often, the dull ones you touch every day: sorting inquiries, sending reminders, following up on unpaid invoices, moving documents into a system, keeping people informed, or preparing quotes from information you’ve already captured. A task that takes five minutes and happens thirty times a week may be a better starting point than a complex task you do twice a year. We look at the volume of work, the time it takes, and the frustration it causes.

Pick one task with real volume and a clear way to measure improvement. Get the process itself straight first, because automating a messy workflow can give you a faster mess. Test the solution alongside the person doing the work so you can compare results before relying on it. Expand once it has handled the normal work and common exceptions reliably.

We agree on support coverage, response times, and responsibilities upfront, including the role of any third-party providers. For work covered by a support arrangement, we investigate issues, coordinate fixes, and keep you informed. Monitoring can be included where agreed. We document and hand over what we build so you can understand how it works and how to get support.

We define what information the solution needs, who can access it, and which actions require human approval. Access controls, review procedures, and exception handling are part of the design from the start.

Implementation is scoped and quoted for the agreed work. Managed services, other support, and advisory retainers are priced separately according to the arrangement. Fees, responsibilities, and expected third-party costs are explained before you proceed.

We build in permissions, limits, and approval steps from the start. Together, we define what the agent can access, what it needs your sign-off for, and when it should stop and ask. We recommend human approval before actions with significant consequences, such as sending sensitive client communications, moving money, or changing important records. We also agree on the activity records and checks needed to review what happened and refine the rules. These controls reduce risk; testing and oversight still matter.

A first workflow typically takes two to four weeks to get running, followed by a few weeks of testing and observation alongside the person doing the work. Larger projects that connect several systems can take longer. Timing depends on the scope, the available information, system access, and approvals. We agree on a realistic timeline once we understand the work.

Yes. Advisory work can stand on its own. We can help you understand where AI or automation fits in your business, what it might cost, and what it would and wouldn’t solve. You might come away with a project in mind, or decide your money is better spent elsewhere for now. Either outcome can be useful.