Case studies

The Signal Studio works on problems shared across industries:

  • Work stuck in heads and spreadsheets
  • Business information scattered across tools
  • AI agents without reliable context

These case studies show examples of what we’ve been working on.

Four diverse team members gathered around a wooden table collaborating on a project plan with sticky notes, flowcharts, and a laptop in a bright, plant-filled office.

AI Readiness

Participants exchange ideas during an interactive AI workshop hosted by The Remix.
Case study · Fashion businessJuly 2026

People were using AI, but the business needed a shared direction

AI use varied across the team. Leaders needed to understand where it was useful, what support people needed and which opportunities to prioritise. We used readiness conversations, a team survey and a practical workshop to identify the gaps and agree on next steps.

ResultA clearer shared view of how AI was already being used

Connected offerAI Readiness Review

Use AI to Improve One Part of Your Business

Two business operators reviewing a property workflow and portfolio information.
Case study · PropertyJune 2026

Connecting workflows in a property business

A property business moved a 35-step workflow from the owner's head and spreadsheets into a shared system for tracking work, reminders, reporting and approved publishing.

ResultAll 35 workflow steps mapped into one shared system

Connected offerUse AI to Improve One Part of Your Business

An operations team organising scheduling, records and team coordination.
Case study · Disability servicesAugust 2026

Building an operational foundation for a disability services organisation

ResultClearer operational visibility

Connected offerUse AI to Improve One Part of Your Business

AI Implementation, Agents & Automation

Four diverse team members gathered around a wooden table collaborating on a project plan with sticky notes, flowcharts, and a laptop in a bright, plant-filled office.
Case study · Business operations and marketingSeptember 2026

Using an AI Agent to Coordinate Marketing Work Without Losing Control

Marketing work was spread across campaigns, programs, content, tasks and approvals. We organised the underlying information and rules first, then introduced an AI agent to coordinate defined work without giving it authority to publish, send, spend or change strategy.

ResultCampaign Director Agent active, security-approved and QA-passed

Connected offerAI Implementation

A customer service team reviewing an AI-assisted enquiry workflow.
Case study · Service businessAugust 2026

Implementing a voice AI assistant for a service business

ResultA working voice AI assistant for routine customer enquiries

Connected offerAI Implementation

A woman sits at a desk writing in a notebook while working on a laptop, surrounded by data visualizations and project boards on the wall behind her.
Case study · Business operations and digital experienceSeptember 2026

Keeping Websites and an AI Assistant Current as the Business Changes

ResultThree public sites can draw from governed business information

Connected offerAI Implementation

A modern office desk with a laptop, notebook, and coffee mug, displaying an overlay of connected user icons, communication symbols, and data analytics charts representing digital collaboration and teamwork.
Case study · Business operations and AISeptember 2026

Getting Business Knowledge Out of AI Memory and Back Under Business Control

ResultBusiness knowledge remains owned and governed by the business

Connected offerAI Implementation

Two food-production operators reviewing inventory and workflow information.
Case study · Food manufacturingDecember 2025

Operational Systems Optimisation for a Food Producer

ResultImproved visibility across operations

Connected offerAI Implementation

Ongoing AI Strategy & Capability

Three marketing agency leaders reviewing campaign materials and an AI-supported workflow together in a creative studio.
Case study · Marketing agencySeptember 2026

Helping a marketing agency adapt as AI changes what clients need

AI is changing what clients can do themselves, what they will pay an agency for and where agencies can continue to create meaningful value. Ongoing strategy turns those shifts into practical decisions for the business.

ResultA clearer view of which AI changes matter to the agency

Connected offerOngoing AI Strategy and Capability

Current signal

One idea behind the work

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What could AI change in your business?

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