Stack — AI Layer

AI that works inside your operation.

We embed large language models into the workflows your business already runs — not as standalone chatbots, but as working components inside Make.com automations, CRM pipelines and document systems. The AI does the task. Your team sees the output.

The problem with most AI implementations

A chatbot demo isn't a business system.

AI as a novelty, not a tool

Most businesses experiment with ChatGPT, get impressed, and then use it for the occasional email draft. That's not AI integration — it's a productivity tip. Real value comes from embedding AI inside repeatable workflows.

No guardrails on tone or accuracy

A general-purpose AI left to its own devices will hallucinate, write in the wrong voice and produce outputs your team can't trust. Properly implemented AI has clear system prompts, constrained behaviour and human review at the right points.

Wrong model for the job

Claude, Gemini and DeepSeek have different strengths. Using the most expensive or most well-known model isn't always the right call. We match the model to the task — and the cost structure to the volume.

No connection to your actual data

AI that doesn't know your business, your clients or your products produces generic output. Properly connected to your CRM, documents and operational data, it produces work that's actually usable.

What we build

AI embedded in real workflows.

Every AI implementation we build is connected to your existing tools via Make.com, constrained by proper system prompts and designed to produce output your team can actually use without heavy editing.

01

Automated content and document drafting

Proposals, summaries, client reports and internal documents drafted by AI from structured data — CRM records, form inputs, spreadsheet rows. Claude or Gemini writes the first draft. Your team reviews and sends. The writing work disappears.

02

WhatsApp and web chat AI assistants

Conversational AI handling inbound enquiries, FAQ responses and booking requests via WhatsApp Business or web chat. Locked to your tone of voice, your services and your policies — not a general-purpose chatbot that freelances on your brand.

03

Data classification and triage

Inbound emails, form submissions and support requests classified, tagged and routed automatically using AI. The right enquiry lands with the right person with the right context — without a human triaging every message.

04

AI-assisted reporting and insight extraction

Operational data summarised and interpreted by AI before delivery. Weekly reports that don't just show numbers — they flag what's changed, what needs attention and what's tracking well. Connected to your Make.com reporting pipeline.

The models we use

Right model, right task.

Claude
Anthropic — strongest for long-form writing, document drafting and instruction-following
Gemini
Google — strong multimodal capability and Google Workspace integration
DeepSeek
Cost-effective for high-volume classification and structured data tasks
Guardrailed
Every implementation constrained by system prompts — no freelancing on brand or policy

Wondering where AI actually fits?

Book a discovery call. We'll be straight about where it saves time and where it's not worth the complexity.

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