trigger
Webhook
Receive data from external service
Connected
Autonomous infrastructure
We configure your AI agent
to take action on your behalf
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.
✓ Scope before build✓ Works across tools✓ Actions need permission✓ No lock-in
What's included
Six pillars of an AI agent that actually gets work done
We turn generic AI tools into productive systems that act on your real processes — not just chat about them.
◎
Bespoke governance file
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.
◈
3-5 modular skills
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.
⬡
Works across tools
The configuration works in Claude Code, Cursor, Gemini Code Assist and any tool with instruction-file support. No vendor lock-in.
◉
Safety guardrails
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.
◇
Team training
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.
⬟
Maintenance and evolution
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
A fixed quote, no hourly billing, no surprises
Starter
Scope confirmed after discovery
For teams starting to hand off real tasks to AI
- ✓Bespoke governance file
- ✓3 modular skills
- ✓Configuration in 1 tool
- ✓Training session (1h)
- ✓Full documentation
Most popular
Professional
Scope confirmed after discovery
For agencies and tech-forward businesses
- ✓Advanced governance + agent files
- ✓5 modular skills
- ✓Multi-tool (Claude Code + Cursor)
- ✓Training session (2h)
- ✓CI/CD integration
- ✓1 month of support included
Enterprise
Scope confirmed after discovery
A full stack of autonomous agents acting across your systems
- ✓Governance files + MCP servers
- ✓8+ modular skills
- ✓Multi-tool + scheduled/background agent
- ✓Bespoke automation integration
- ✓Training session (3h)
- ✓Automated task queue
- ✓3 months of support included
Operating boundaries
How an agent remains safe and useful in production
01
Scope before action
Named owner and approved tasks
“The agent only receives the systems, actions and data it has been explicitly approved to use. Anything outside that boundary is escalated.”
No action beyond agreed permissions
02
Evidence before rollout
Test cases and acceptance criteria
“We test the workflow against real scenarios before production. Reliability, review effort and escalation are defined in advance, not assumed from a demo.”
Acceptance criteria before production
03
Handover after launch
Training, documentation and review
“Your team receives the operating rules, documentation and a review path. The configuration remains understandable and can be evolved as the work changes.”
Client-owned governance and handover
Real-time visual orchestration
Your agents integrate with n8n and workflow automation in one transparent ecosystem.
ActiveWorkflow Builder
3 Nodes
2 Connections
Drag nodes to reposition
A governance-first approach to agents that act
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. See the wider AI and automation service →
FAQ
Frequently asked questions
What is an autonomous AI agent for a business?
It's an AI system (built on Claude Code, Cursor, Gemini or similar) configured with permanent instructions that reflect your technical stack, brand tone, quality standards and security rules — and, critically, permission to take action on real systems: updating a CRM record, drafting a document, running a workflow. Instead of using AI "generically", the agent works like a team member who already knows your business and is allowed to act within defined limits.
Do I need to know how to code to use an AI agent?
It depends on the package. We configure the governance file and the skills. Your team needs to know how to brief the agent (write clear instructions), which is exactly what we cover in the training session. You don't need to code to give instructions like "draft a follow-up email for this lead using our tone of voice".
Does it only work with Claude Code?
No. The configuration is compatible with Claude Code (Anthropic), Cursor AI, Gemini Code Assist (Google), and any tool that supports instruction files. No vendor lock-in.
What exactly are "skills"?
They're modular instruction files that tell the agent how to carry out a specific task — and what it's allowed to do while doing it. Example: a "lead qualification" skill contains the rules for scoring an inbound enquiry and updating your CRM accordingly. When the agent detects that a task matches, it activates that skill automatically.
How long does the configuration take?
Timing depends on the number of systems, data sensitivity, permissions and acceptance criteria. We confirm a realistic sequence after discovery rather than promise a delivery date before the operating boundary is known.
How is it kept up to date?
AI models evolve fast. We offer optional monthly maintenance (fixed monthly quote) where we review the skills, adjust instructions as model capabilities change, and add new skills as your team's needs evolve.
Request your configuration
We respond within 24h with a tailored proposal.
Key Takeaways — AI Agents for Businesses
- A well-configured AI agent takes over genuinely repetitive work by acting directly on your systems — CRM, inbox, documents — not just answering questions about them.
- A governance file and modular skills are what turn a generic AI tool into a productive, permissioned team member.
- Modular skills let you scale what the agent handles without reconfiguring from scratch: lead qualification, document drafting, reporting, workflow triggers.
- A professional setup includes safety guardrails that prevent credential exposure and unauthorised changes to live systems.
- Most teams see measurable time savings within 4-6 weeks of a properly scoped rollout.
AI Agents · 2026 context
What an AI agent actually is — and how it differs from a chatbot
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
Real use cases in business
- Sales and customer service teams: Inbound lead qualification, automatic CRM updates, follow-up scheduling, ticket triage and resolution.
- Software development: Autonomous code review, code migrations, technical documentation, automated testing.
- Professional services firms: Document analysis, data extraction, drafting standardised reports and correspondence.
- E-commerce: Order and stock updates, automated 24/7 customer support, competitor and pricing monitoring.
The technical stack we configure
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.
AI agents for businesses across the UK
We configure AI agents for businesses in London, Manchester, Birmingham, Edinburgh and internationally — 100% remotely.
- ✦Global remote delivery
- ✦Zero-latency deployments
- ✦Async, multi-timezone training