ETT AI & Automation Acceleration Partner

AI that does the work, and shows its working.

ETT builds AI and automation into the work your teams already do, with clear ownership, human oversight and a record of every decision.

Request an AI session See where you would start

Start where you are.

Most of the people we talk to are in one of three places. Pick the one that sounds like yours.

My board wants AI. My regulator wants proof.That’s meYou picked thisWhatever we build, my name’s on it.That’s meYou picked thisWe’ve run the pilots. Nothing has shipped.That’s meYou picked this

Not sure yet? The first step is the same for everyone. Keep scrolling.

You said your board wants AI and your regulator wants proof.

You need both. You can have both.

ETT builds AI into the work your teams already do, and keeps a record of every decision it takes. You show the board the saving. You show the auditor the evidence.

Where you are

You’re being pulled in two directions.

Every board pack has an AI line in it now, and your name is next to it. Meanwhile risk and compliance want to know who approved what, which data it touched and what happens when it gets one wrong. So projects get announced, then parked. You’re not short of ambition. You’re short of a way forward that both sides will sign.

Sound familiar?

  • The board asks what AI has delivered, and you talk about pilots.
  • Compliance blocks the interesting ideas, and nobody can say what would unblock them.
  • A competitor announces something, and the question is on your desk by lunchtime.
Where you could be

One answer for both rooms.

In the boardroom you report hours saved, errors avoided and cash released, against a baseline agreed before anything was built. In the audit you hand over a file: what the system did, under whose permission, and where a person made the call. Same project. Same evidence. No translation.

You said whatever gets built, your name’s on it.

AI you can put your name to.

Every automated step has an owner, a limit and a record. When judgment is needed, it goes to a person. When someone asks why, you have the answer.

Where you are

The risk is personal, and nobody says so.

Vendors talk about what AI can do. You’re thinking about what happens when it does the wrong thing at scale, to a customer, with your signature on the approval. You’ve seen demos that couldn’t explain themselves. You’ve been told to trust the model. That isn’t good enough, and you’re right not to accept it.

Sound familiar?

  • You can’t get a straight answer on what the system is allowed to do on its own.
  • Nobody can show you what it did last Tuesday, or why.
  • The people selling it won’t be in the room when the regulator asks.
Where you could be

You can explain every decision it makes.

You know what the system can do alone, what needs approval and who gives it. Exceptions reach a named person with the full history attached. Six months in, someone asks how a decision was made, and you open the file instead of opening an investigation.

You said you’ve run the pilots and nothing has shipped.

Let’s make one count.

You don’t need another proof of concept. You need one process, live, with a number next to it. We start there.

Where you are

You’ve spent the money. You’ve got the slide deck.

The demo went well. Everyone nodded. Then it met your real data, your real systems and the question of who owns it on a Monday morning, and it stalled. Now there’s a chatbot that answers the question and hands the actual work back to a person. None of that is a technology problem. It’s what happens when AI is bolted on beside the business instead of built into it.

Sound familiar?

  • Three pilots. No production system.
  • The people who were excited a year ago have stopped asking.
  • Your best people are still rekeying figures between systems at six in the evening.
Where you could be

One process, live, paying its way.

Your people spend the day on the cases that need judgment. The routine work moves on its own, and every step leaves a record. When someone asks what AI has delivered, you don’t talk about potential. You give them a number.

In practice

Here’s what that looks like on an ordinary morning.

One request, start to finish. The system does the routine work. Your people make the calls that need judgment.

Illustrative workflow: a claim status enquiry

  1. 01

    Understand the request

    A policyholder asks where their claim has got to, by phone, chat or email.

  2. 02

    Check the relevant systems

    The claim record, the documents received and the payment status are read under the permissions granted.

  3. 03

    Apply the rules

    Identity is confirmed. Anything outside policy, such as a disputed amount or a vulnerable customer flag, goes to a named handler with the full history.

  4. 04

    Complete the authorized action

    The customer gets a clear answer and the record is updated within the agreed limits.

  5. 05

    Measure the result

    Resolution time, repeat contact and cost per completed request are tracked against the baseline.

Illustrative workflow. The actions, integrations and controls are defined for each deployment.

See how we build this
The first step

Start with one process.Start with one process both sides can agree on.Start with one process you can inspect end to end.Start with the process that’s costing you most.

You don’t have to commit to a program. Each step is small, and each one tells you whether the next is worth taking.

4 minutes

See where you stand

Answer a few questions about your processes and data. You get indicative guidance straight away.

Check your automation readiness
One conversation

Talk it through with us

Bring the process that’s bothering you. We’ll tell you whether it’s worth automating and what it would take. No deck.

Request an AI session
Fixed price

Business Process Workshop

We map the process with your team, size the saving and set the baseline. If the numbers don’t stack up, we’ll tell you to stop.

After that, if you want it: prove, govern, scale and compound. See how an engagement works

Before you decide

The questions you’re right to ask.

If we can’t answer these to your satisfaction, don’t hire us.

The system only acts inside limits you set. Anything outside them goes to a named person with the full history attached. Every step is recorded, so if something does go wrong you can see what happened and fix the rule.

We agree the baseline and the measure before anything is built, and the proof stage ends with a recommendation to scale or stop. If it isn’t going to work, you find out early and cheaply.

The work we automate is the work your people complain about: rekeying, chasing, checking. They keep the decisions. We train them to run what we build, so you aren’t dependent on us.

We have offices in Dallas, London and Vancouver. You deal with the people who do the work.

Proof

What it did for people like you.

  • Healthcare and legal services

    £120k+ annual saving, 5 to 8 FTE of manual effort removed

    Cases initiated in hours rather than days, with faster client turnaround and revenue recognition.

    Read the case study
  • Financial services

    Manual audit effort cut by up to 80 percent, payback in around 7.5 months

    Analyst data extraction time cut from around 12 hours a week to under 2.

    Read the case study
  • Logistics and supply chain

    New automation delivery time cut by 60 to 70 percent

    Center of Excellence stood up and the 30-person in-house team trained to run it.

    Read the case study

Want to see the working? Read a sample workflow blueprint and measurement plan.

Start here

Where is work getting stuck?

Your best people are doing your worst work.

They copy figures between systems, check documents line by line and chase updates that should arrive on their own. You hired them for judgment and you’re paying them for data entry. We find the steps that can run themselves and leave the decisions with your people.

Explore workflow automation

The queue never goes down.

Routine queries eat the hours your team needs for the difficult cases, so the customers with real problems wait longest. We connect voice and chat to the systems that can resolve the request, with a clear route to a person.

Explore voice and conversational AI

Good ideas, shaky foundations.

The idea is sound. The data, the security or the delivery plan isn’t. We tell you what’s ready, what isn’t and what to do first.

Explore strategy and readiness
Industries

Built around the way your organization works.

The right starting point depends on your processes, systems and responsibilities. Explore practical workflows for your sector.

Financial ServicesRetail and eCommerceManufacturing and Supply ChainHealthcareLogistics and DeliveryUtilities, Oil & Gas
Analect, from ETT

Know what AI will cost before you commit.

Analect measures answer quality, token use and storage on your own documents, so you can price a workload before you build it.

Explore Analect

Technologies used in our delivery

OpenAINVIDIACUDO ComputeUiPathDatabricksPolyAIGetVocal AICrowdStrikeCheck PointCiscoCaveloHunters

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.

Which process would you improve first?

Tell us where your teams are losing time. We’ll tell you straight whether it’s worth automating.

Request an AI session Or check your readiness in 4 minutes

Region & currency

Changes spelling, terminology, the data-protection regime named in our notices, and the currency used in indicative figures. It does not change where we are or quote you a price in your currency. ETT is headquartered in Dallas, with offices in London and Vancouver.