Make your business agent-ready.
AI isn't coming for your job. It's coming to make your job easier, and the exciting bit is that means you, and your team, can concentrate on the creative work, the strategy and the planning. Here's what happens:
- 01
The Audit. We find where AI fits in your business.
- 02
The Build. We embed in your team and build the bits that take the chores off them, so your people get back to the creative work, the strategy and the planning.
- 03
Agent UX. We make your website ready for the customers who arrive via AI search or their AI agent.
Most engagements start with one and grow into another. Plenty of teams just want one. Either is fine.
Audit. Build. Train. Support.
We find the low-value, high-volume work eating your team's hours, take it off them, train your people on the live system, and stay reachable on the terms you want.
AI Audit
We work out where AI fits in your business. The internal grunt work eating your team's hours, and the customer-facing parts of your site that an agent will arrive at.
Readiness assessmentBuild: Prototype to Execution
This is the bit where we start small, work with the team, prove a solution and then deploy.
Automation buildAI Knowledge: Training
AI training can be anything from working with your in-house AI owner to something more group-based.
AI trainingSupport where you need it
As your senior practitioner, we stay on the pulse so you don't have to.
Fractional AI leadFree tools to make your working day easier.
Over the past year, we have been developing open-source software to solve specific problems most marketers and digital people face. MCPs for your AI assistant, designed to make your day simpler. The work we ship for clients goes further.
Gemini MCP
Get grounded results, analyse images, generate diagrams or even videos from inside Claude with our Gemini MCP.
Better Search Console
Search Console intelligence your team can't write themselves. Daily sync, decline detection, period-on-period comparisons.
FMP MCP
Company fundamentals, statements and ratios from inside an agent. Built for finance and investor-research workflows.
Read our blog.
Claude Code API Key Security: A Guide to Token Hygiene
The simplest possible setup that keeps your production tokens out of AI chat windows. 1Password CLI, op run, and the conversational discipline that makes the rest of it work.
AI for the Managing Director and CEO - What You Need to Know
If you back your team to identify and ship the work that AI can take off them, you've cleared the biggest barrier to making AI adoption in your company real.
Agentic Interoperability for Website Owners: AI User Experience (AI UX)
I've been keeping a close eye on the emerging subject of "agentic interoperability" across all my recent build projects. In layman's terms, that's the ability for AI agents to do things for you on your behalf - particularly inside SaaS…
Implementing WebMCP on a Recruitment Website
Thinking about what, exactly, the future of a website "looks" like in the agentic era is a challenging proposition. It might be that in most cases, our future viewers/readers/customers can do everything, from their chatbot of preference…
How to Set Up a Claude Code Project (And What Goes Where)
The .claude folder is the control centre for how Claude Code behaves in your project. Here's what goes in it, what each file does, and the step-by-step setup I use for every new project.
Swapping the Engine: How to Run Claude Code on Local Silicon for Zero Pennies
Claude Code's real power isn't the Anthropic model sitting behind it, it's the agentic : the file-system access, the tool use, the way it chains tasks together without you babysitting every step. I figured this out the expensive way. I ran…
Forty-five minutes. No pitch deck.
Know you need to look at AI in your company but you are not sure what is possible? Jump on a call and we will demonstrate some agentic processes, bring you up to speed with the state of the art, and then discuss your needs.