Put AI to work across your business.
Reduce manual work, improve service and give your teams better information. ETT designs and delivers AI and automation that connect to your existing systems, with clear ownership, human oversight and measurable outcomes.
Start with the process you want to improve. We’ll explore the opportunity and what it would take to deliver it.
- 01Order query arrives“Where is order 48120?” by chat, email or phone.
- 02Systems checkedOrder, warehouse and carrier records read under the permissions granted.
- 03Authorised updateDelivery date confirmed and the record updated within the agreed limits.
Technologies used in our delivery
Platforms ETT implements for clients. A vendor logo is not evidence that the vendor is an ETT customer — the exact relationship is stated on each entry in our technology ecosystem.
Where is work getting stuck?
From a customer request to a completed task.
A useful AI system needs to do more than produce a response. This example shows how a request can move through your systems, your policies and the people responsible for the outcome.
- 01
Understand the request
Capture what the customer needs and confirm the information required to act on it.
- 02
Check the relevant systems
Retrieve permitted order and delivery information from the connected sources.
- 03
Apply the rules
Check eligibility, permissions and approval requirements. Route exceptions to the responsible person.
- 04
Complete the authorised action
Update the record and give the customer a clear response.
- 05
Measure the result
Track resolution time, repeat contact and cost per completed request.
Illustrative workflow. The actions, integrations and controls are defined for each deployment. This is not a customer result.
A clear route from opportunity to operation.
Our Acceleration Framework gives each stage a purpose, a deliverable and a decision. Data protection, security and human accountability are considered throughout.
- Stage 1
Orient
Establish where the opportunity is and whether it is worth pursuing.
You receivePrioritised use case, baseline, dependencies and business case.
- Stage 2
Prove
Test a defined workflow against agreed success criteria.
You receiveWorking proof of value, findings and a scale-or-stop recommendation.
- Stage 3
Govern
Set and validate the controls required for the intended level of automation.
You receiveResponsibilities, permissions, approval routes and assurance evidence.
- Stage 4
Scale
Integrate the solution into day-to-day operations.
You receiveRollout plan, operating documentation and team enablement.
- Stage 5
Compound
Use performance evidence to improve the result over time.
You receivePerformance reviews and a prioritised improvement backlog.
Stage deliverables are the standard shape of an ETT engagement. Exact scope, duration and commercial terms are agreed per engagement.
See what a delivery output looks like.
We do not have client case studies published yet, so we are not going to imply that we do. What we can show you is the shape of the work: the blueprint a workflow is designed from, and the measurement plan that decides whether it worked.
- Workflow blueprintThe steps, systems, permissions and approval points a workflow is built from, including what happens when it cannot complete.
- Measurement planThe baseline taken before anything is built, the measures agreed with you, and how the comparison period is defined.
- Sample, not a client resultBoth are purpose-built examples, labelled as such. When approved client evidence is published it will appear here with its scope, baseline and permission.
Built around the way your organization works.
The right starting point depends on your processes, systems and responsibilities. Explore practical workflows for your sector.
Which process would you improve first?
Tell us where your teams are losing time, where service is under pressure or where an AI initiative has stalled. We’ll help you explore the opportunity and define a practical next step.
Around four minutes. Indicative guidance based on your answers.