01
AI Audit
We assess your current AI usage, identify gaps, and map opportunities. Where are you wasting money on tools you don't use? Where could AI save hours of manual work?
AI Clinic
Stop copy-pasting into ChatGPT. Start building AI systems that work.
Most businesses use AI like a search engine — copy text in, copy text out. The real value is in AI that connects to your tools, automates your workflows, and operates with proper controls. We help you get there.
What we cover
Six areas where businesses leave AI value on the table
02
MCP & MCPlexer
Model Context Protocol (MCP) lets AI agents connect directly to your business tools — CRM, databases, APIs, file systems. MCPlexer manages which tools AI can access, with approval workflows and audit trails. This is how you go from "chatting with AI" to "AI that actually does work."
03
AI Tooling Strategy
Not everything needs ChatGPT. We help you pick the right AI tools for each job — custom agents, specialised models, tool chains that work together. Claude, GPT, open-source models — each has strengths.
04
Making AI Efficient
Prompt engineering at scale, context management, cost optimisation. Most companies waste 80% of their AI budget on poorly structured prompts and unnecessary API calls.
05
Implementing Controls
AI governance, approval workflows, audit trails, security policies. How to let your team use AI without risking data leaks or compliance violations.
06
Beyond ChatGPT
The leap from manual AI usage to integrated AI systems that automate entire workflows. Custom agents, API integrations, automated pipelines.
Process
How it works
1
Audit
We map your current AI usage, costs, and gaps across teams and tools.
2
Strategy
We design the right AI architecture — tools, integrations, controls, and rollout plan.
3
Implementation
We build and deploy MCP servers, agents, and workflows connected to your real systems.
4
Optimisation
We tune prompts, reduce costs, and iterate based on usage data and team feedback.
Deep dive
MCP: the protocol that makes AI useful
Model Context Protocol is an open standard that lets AI models connect directly to your business systems. Instead of manually feeding context into a chat window, MCP gives AI structured access to your CRM, databases, APIs, and file systems.
MCPlexer sits on top, managing which tools each agent can access. Think of it as a permissions layer for AI — approval workflows, audit trails, and scoped access so your team can use AI without risking data leaks.
- AI reads and writes to your CRM directly
- Automated report generation from live databases
- Scoped access — agents only see what they need
- Full audit trail on every AI action
- Approval workflows for sensitive operations
- Works with Claude, GPT, and open-source models
Ready to move beyond copy-paste AI?
Book a strategy call and we'll audit your current AI usage, identify quick wins, and map a path to production AI systems.