Hands-on AI consultingfor growing businesses

An ongoing, hands-on AI partnership rather than a one-off project. We start with an AI Opportunity Assessment to find where AI fits your business, then meet with your team twice a month to turn manual processes into working AI workflows, with support in between and every result logged on a shared board.

Think of it as an experienced AI engineer on your team, without the cost of hiring one.

Over one to two weeks we interview the people doing the work, review your processes and data, and measure where time and money go.

You get a ranked roadmap of AI opportunities, each with estimated savings, costs, and risks. It sets the agenda for your AI Concierge sessions, but it's yours to act on, with us or without us.

Each session is a 45 to 60 minute video call. Someone on your team shares their screen and walks us through a process. We audit it together, cut the steps that shouldn't exist, and turn what's left into an AI workflow they can run, often before the call ends.

Afterwards you get a written summary of what we built and the time it should save.

Message us. Whether it's a question, a workflow that isn't behaving, or a new idea, you'll get a reply within one business day, and usually much sooner.

A fixed fee for the assessment, then a flat monthly fee for the AI Concierge, so you always know what you'll pay. Any larger build is quoted separately with a capped budget, and AI running costs are modelled upfront, with usage caps to prevent runaway bills.

Yes. Most of our clients aren't tech companies. The best AI opportunities are usually in everyday work such as documents, data entry, email, and reporting. If your team does repetitive work with information, there's almost certainly something worth automating, and the free strategy call is designed to find it.

Whichever fits. We're vendor-neutral and work with Claude, ChatGPT, Microsoft Copilot, Gemini, and the tools you already pay for. We'll only recommend a change where it's clearly worth it, and we help set usage guidelines, including what data can and can't go into each tool, so the whole team benefits without putting client data at risk.

Then our engineers build it properly. Some work needs a production pipeline, an integration with your ERP or CRM, or a model fine-tuned on your own data. We scope it with a capped budget, build it, and run it under SLA. It's the same team, so nothing gets lost along the way.

Then we'll tell you. Sometimes the best fix is a simpler process, a better integration, or a small piece of custom software, and we build those too. We'd rather recommend the right tool than sell you AI that won't pay back.

No. We work directly with the people doing the work, and handle any engineering end to end. If you have an IT team or provider, we work with them on access, security, and integration.

No. We use enterprise-grade services and configure zero-retention policies where available, so your data is processed for the request but never stored or used for training by the AI vendor.

We don't rely on the model's memory. Workflows are set up to answer only from the data we give them: your documents, databases, and policies. If the answer isn't there, they say so instead of guessing.

For anything sensitive, a person reviews the output before it's used.

No. We design workflows and systems to be model-agnostic, so we can switch the underlying engine (for example from OpenAI to Anthropic or Google) without starting again, and move to the best model for the price and performance.