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Modular skills, a bespoke governance file and team training. Your AI agent doesn't just answer questions — it updates your CRM, drafts documents and runs real workflows, within limits you control.
What's included
We turn generic AI tools into productive systems that act on your real processes — not just chat about them.
Permanent instructions for the agent: your technical stack, brand tone, security rules and code standards. The agent works like another member of the team from day one.
Task-specific instructions: process automation, content generation, CRM updates, deploys, security checks. Each skill activates automatically when it's relevant — and each one defines what the agent is allowed to actually do.
The configuration works in Claude Code, Cursor, Gemini Code Assist and any tool with instruction-file support. No vendor lock-in.
Rules that stop the agent exposing credentials, taking action on production systems without verification, or using paid APIs without authorisation. Safety by design — the agent acts, but only within limits you set.
A hands-on session with your team: how to brief the agent, how to review what it does, how to iterate on results. Documentation included.
Ongoing review of what the agent is doing: what's working, what needs adjusting, what new tasks to hand over as your team's needs and the underlying models evolve.
Packages
For teams starting to hand off real tasks to AI
For agencies and tech-forward businesses
A full stack of autonomous agents acting across your systems
Success stories
Laura Méndez
Content Director
“It used to take us a full day to put together a landing page with schema, SEO copy and animations. Now the agent does it in 20 minutes and we review it. Quality went up because the skills enforce our standards automatically.”
+40% more content produced with the same 4-person team
David Hernández
Founding Partner
“Contract drafts come out in our exact tone, and the confidentiality guardrails YAG configured stop the agent from exposing sensitive data. It's like having a paralegal who never gets tired and never makes formatting mistakes.”
−60% time spent drafting standard documents
Carmen Rodríguez
Manager
“We reached the top 3 for "renovations + area" in 8 weeks. The agent generates quotes from our template and before/after photos get published with schema automatically. We had no idea this was even possible.”
Top 3 on Google for 12 local keywords in 8 weeks
Your agents integrate with n8n and workflow automation in one transparent ecosystem.
Drag nodes to reposition
The industry has largely popularised a method we were already applying at YAG before it went mainstream: instead of using AI “generically”, you configure it with instructions specific to your business — and, crucially, you decide exactly what it's allowed to do.
Those instructions live in a governance file and a folder of modular skills. Each skill activates concrete rules and permissions: which systems the agent can touch, what actions require human sign-off, what it must never do.
Teams that hand off well-scoped, repetitive work to a properly configured AI agent typically report meaningful time savings within weeks — not because the AI is smarter, but because it has the context and the permissions to act instead of just suggesting.
The result: an agent that follows your conventions, uses your stack, respects your brand and stays inside guardrails you set. More on our automation infrastructure →
FAQ
We respond within 24h with a tailored proposal.
AI Agents · 2026 context
What is an autonomous AI agent? A chatbot answers a question and stops there. An AI agent plans a sequence of steps, chooses tools, takes real actions on your systems — updating a CRM record, drafting and sending a document, triggering a workflow — and corrects itself when something doesn't go as expected. The defining difference isn't intelligence, it's permission to act.
Unlike a generic assistant, a professionally configured agent operates under governance: a file that defines its identity, technical stack, security restrictions and quality standards. It has skills that specialise its behaviour by task. And it has guardrails that block dangerous actions — exposing credentials, changing production systems without verification, or acting outside the scope you defined.
“The difference between an AI that helps and an AI that changes how your business runs comes down to proper configuration. Without a governance file, you have a generic assistant. With one, you have a team member that can act — safely.” — Technical Direction, YAG
We work with Claude Code, Cursor, Gemini Code Assist and GitHub Copilot. The automation layer is built with n8n (open source, self-hosted) for multi-step workflows. Multi-agent orchestration is managed through portable governance files that aren't tied to a single vendor.
We configure AI agents for businesses in London, Manchester, Birmingham, Edinburgh and internationally — 100% remotely.