Services/02Cortex

Cortex.

AI Integrated Into the Systems You Already Run.

Demos Are Easy. Operations Are Hard.

Every AI demo works. Far fewer survive contact with a shop floor, a support queue, or a Tuesday afternoon outage. Cortex is AI integration for production: models grounded in your real schema and business logic, wrapped in validation and fallbacks, and placed where they change daily decisions — not in a chatbot no one opens. We've run this in live retail operations where the people asking the questions are staff behind a counter, not data scientists.

[0.1]0.20.3

Ask the Database Anything

On Intouch, retail staff ask questions in plain English — “Who's our best customer?”, “Show me sales by product type” — and get answers in under two seconds. Behind it: a schema-aware pipeline where Gemini generates validated, SELECT-only SQL, executes it, and a second model formats the result — returning charts, not paragraphs, when the data warrants it. Conversations persist, so “show me their purchase history” knows who their refers to. When generation fails, hand-crafted fallback queries answer common patterns instead of returning an error.

AI query pipeline
PipelineAnswer
Input
Staff asks a question
“Who is our most loyal customer?”
Stage 01
SQL Generation
Schema-aware query building
Stage 02
Execute
Validated read-only query
Stage 03
Format + Visualise
Context-aware response
Output
Formatted answer + interactive chart
“Sarah Chen, with £12,400 across 23 orders”
Full conversation persistence — follow-up questions have context.
Conversational BI pipeline — IntouchView case study
0.1[0.2]0.3

Automation That Writes Itself

A workflow copilot turns intent into infrastructure. Describe it — “send a thank-you email two days after every purchase over £1,000” — and Claude generates the full trigger–delay–condition–action chain on a visual canvas staff can edit. Underneath, a real execution engine: 20+ domain events, step-based runs with context chaining, template variable resolution, and a full run history. The AI writes the workflow; the engine makes it real.

The events those workflows react to come from systems wired by Relay
Workflow engine
Visual builder
Triggers Conditions Actions Delays
design
Assist
AI Copilot
async run
Execution engine
Event matching Step execution Context chaining 20+ handlers
Drag-and-drop design with fire-and-forget async execution.
Workflow execution engine — IntouchView case study
0.10.2[0.3]

The Right Model for Each Job

No single model is best at everything, and no single vendor should be a critical dependency. Cortex architectures are multi-model by default: on Intouch, Gemini handles SQL generation (latency, structured output), Claude powers the workflow copilot (multi-step reasoning), and OpenAI drives campaign content. Each is chosen for the task — and each is replaceable without touching the product.

Model routing
Cortex router
Task → model
Each task dispatched to the model best suited to it
Low latency · structured output
SQL Generation
Google · swappable
Gemini 2.0 Flash
Multi-step reasoning
Workflow Copilot
Anthropic · swappable
Claude
Creative generation
Campaign Content
OpenAI · swappable
GPT
One router, many models — each task dispatched to the model best suited to it, and any model can be swapped without touching the product.
Multi-model AI strategy — IntouchView case study
< 2s question to answer
3 AI providers, 0 lock-in
20+ events triggering AI workflows
SELECT-only, always validated

Cortex in the Field

Ways to Start

Start here

Production Pilot

£5,000fixed · four weeks

One workflow, your real data, live in four weeks. We pick the single highest-leverage place AI changes a daily decision, build it into your real systems with validation and fallbacks, and ship it to the people who'll actually use it.

Start with a Production Pilot
The full engagement

AI Integration

Scoped per project

Multi-model architectures, conversational BI, workflow copilots — scoped against your systems and priced per project. The pilot usually tells us both what this looks like.

Not sure where you fit?Every engagement starts with a conversation — talk to us.
Explore the rest of the stack

Have systems that should be smarter?

If your team still answers questions by exporting CSVs, or runs processes a model could handle, that's where we start. Tell us what you run today.

AI IntegrationLLM PipelinesCopilotsMulti-Model