Our Work

Practical AI work, built around real operational challenges

ETT focuses on AI that works inside the business. The examples below show the kinds of operational challenges we help organisations solve — connecting AI, data, workflows and governance into systems that hold up in production.

How we approach engagements

Representative areas of work

These are illustrative of the work ETT does. We’re happy to talk through relevant examples in more detail during an Executive AI Acceleration Session.

Workflow automation in operations

Connecting AI agents, data and systems of record so document-heavy and repetitive workflows move with less manual handover — while approvals and exceptions stay with the team.

Agentic AIWorkflow orchestration

Conversation to action in customer service

Connecting customer interactions to CRM, ticketing and fulfilment systems so conversations resolve through real workflows, and conversation data becomes operational insight.

Conversational AIOperational insight

Data readiness for AI

Discovering, classifying and structuring enterprise data so AI systems can use it safely and reliably — the groundwork that determines whether automation is trustworthy.

Data readinessGovernance

Security and governance for AI

Designing the governance, controls and oversight that let organisations deploy AI responsibly — model risk, data protection and clear accountability considered from the start.

vCISO for AIRisk
How we work

Principles behind every engagement

The detail changes from one organisation to the next. The approach doesn’t.

  • We build towards production, not just pilots
  • We design governance and oversight in from the start
  • We connect AI to real systems, data and workflows
  • We keep people in control of decisions that need judgement

Want to discuss a specific challenge?

Book an Executive AI Acceleration Session and we’ll talk through relevant examples and where AI could create value for you.