Solutions

Start from the problem, not the service catalogue.

ETT plans, builds and runs AI and automation for regulated businesses. Most engagements follow one path: a workshop to find the work worth automating, process mining to see how it really runs, a build on UiPath that mixes robots, AI agents and people, then governed operation with evidence an auditor can check.

Three ways in

Where are you starting from?

Plan and prioritise

We have ideas but no priority order

Use cases are coming from several teams and nobody can say which pays back first. Start with a fixed-price workshop.

Where this leads

Build and connect

We know the process. We need it built.

You can name the workflow and roughly what it costs. Start by mining it, or go straight to a proof of value if you already have a baseline.

Where this leads

Govern and operate

It's live, or about to be. Someone has to answer for it.

Automations need an owner, agents need watching, and your risk team needs a record.

Where this leads

The solutions

What each one delivers

Most clients start with a workshop. Governance and evidence run from the first week, not the last.

Plan and prioritise

Decide what is worth automating, and prove the number first.

Business Process Workshop

A fixed-price workshop that maps how a function's processes run, sets the baseline and ranks what to automate, fix or leave alone, ending in a decision.

Key outputProcess inventory and heat map across the function

See the full specification

AI Strategy and Delivery

A prioritized view of where AI and automation are worth investing in, with the business case and delivery plan behind the recommendation.

Key outputOpportunity register covering the processes reviewed and the candidates found

See the full specification

Build and connect

See the real process, then automate it on the platform.

Process Mining and Discovery

A measured picture of how your priority processes really run, from system event logs, desktop capture and interviews, with a ranked roadmap and a UiPath platform ready to build on.

Key outputProcess mining findings pack: flows, variants, bottlenecks and conformance against the intended process

See the full specification

Agentic Automation on UiPath

A working automation for one agreed workflow, connected to your systems, with the exception handling and documentation needed to run it.

Key outputTarget process design: which steps run as robots, which as agents, which stay with people, and why

See the full specification

Conversational AI and Voice Automation

A voice or chat journey that resolves the routine requests you agree it should, and hands the rest to a person with the context attached.

Key outputIntent and journey map based on real interaction samples

See the full specification

Govern and operate

Keep it controlled, evidenced and running.

Agentic Managed Services

Your automations and AI agents run, monitored and fixed after go-live, with drift checks, change control and a monthly evidence report.

Key outputOnboarding assessment of the estate: healthy, needs work, retire

See the full specification

Analect: AI cost and accuracy

Analect forecasts what each AI workload should cost and checks AI outputs claim by claim against their sources. Two fixed-price services start you on it.

Explore Analect

vCISO for AI

Named security leadership for the AI work you are introducing, with the risks, controls and decisions written down and reviewed.

Key outputAI risk register covering the systems in scope

See the full specification

Data Discovery and Classification for AI

A picture of what data exists across an agreed part of your estate, how sensitive it is, who owns it, and which sources are safe for an AI workflow to use.

Key outputScoped data inventory across the repositories agreed at the start

See the full specification

Hand over the whole process

Not just the automations: the process itself, run for you and billed on verified outcomes.

Outcome-billed

Agentic MSP

ETT Group's managed services company. Agentic MSP runs back-office work for you with governed AI agents and a trained exception desk. Licensed decisions stay with your team, every outcome is recorded in an Evidence File, and the service is billed on verified outcomes rather than seats or hours.

For independent insurance agencies and mid-market finance teams in the US and Canada.

Visit agentic-msp.com How it works Insurance agencies Finance operations

How engagements are shaped

Small, measured, and allowed to stop.

Every engagement runs in stages: each has a purpose, produces something, and ends in a decision. A recommendation not to proceed is a valid outcome, and you keep what has been produced up to that point.

How an engagement works

Discovery. A fixed-price Business Process Workshop, or process mining where the processes run through core systems. Produces a baseline, a business case and a build-or-stop recommendation.
Proof of value. One real workflow, built and tested against criteria agreed before the work starts, with the findings including whatever did not work.
Delivery. Building and integrating the agreed solution, with the exception handling, documentation and handover to run it.
Operate. Managed operation of the automations and agents, with drift checks, change control and a monthly evidence report.
Advisory. Named security or delivery leadership over a period, with an agreed cadence and reporting. Scope and authority are set in the engagement letter.

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.

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