Customer service
Intent, context, response, system action and escalation — handled as one coherent workflow.
AI × eCommerce × logistics
The process runs.
You set the direction.
We design operational systems in which AI agents do the work, applications provide the framework, and people manage decisions, exceptions and quality.
DECISION OWNERYougoal · rules · exceptions
20+years of technical
and commercial experience
and commercial experience
We do not learn your industry from a brief. We understand the pace of operations, pressure of scale and cost of errors in eCommerce and logistics.
01 — A different perspective
We automate the outcome,
not the clicks.
Traditional automation repeats individual actions. We design the complete route to an outcome: understanding the case, gathering data, making a decision, taking action and handling exceptions.
02 — Services
Three concrete
ways to begin.
From a responsible decision through the first production process to an environment that drives the entire operation.
01 / 0310 DAYS / DECISION
Process Zero
Decide what is worth automating.
Process assessment, working proof, autonomy matrix and a concrete implementation plan.
Explore the scope ↗02 / 034–8 WEEKS / PRODUCTION
AI Automation Sprint
Launch one complete process.
The agent performs real work, uses company systems and involves people only for decisions and exceptions.
Explore the scope ↗03 / 032–6 MONTHS / SCALE
AI Operations System
Build your own operating environment.
A purpose-built application connects people, agents, data and systems in one controlled way of working.
Explore the scope ↗Customer service · eCommerce · logistics · ongoing care
View all servicesHuman in command
03 — Our principle
People do not disappear.
Their position changes.
The best process does not remove people from the equation. It moves them from performing every task to defining goals, setting rules, approving exceptions and developing the system.
- Clear boundaries for agent autonomy
- Approvals where risk requires them
- Decision history and measurable outcomes
04 — Where we create value
From the first message
to a completed process.
The greatest value is created where systems, teams and decisions meet — precisely where simple integrations stop being enough.
eCommerce operations
Orders, catalogue, returns, claims and exceptions handled without manually switching between tools.
Logistics
Detecting deviations, communicating and coordinating action before an issue becomes a crisis.
Back office
Documents, data, reports and repeatable decisions moving through a controlled, auditable process.
05 — Technology with context
First, we understand
what genuinely has to work.
For two decades we have built, developed and scaled technology for commerce and logistics. We know a process diagram is only the start — exceptions, data quality, user behaviour and accountability for the outcome are what matter.
Why Yuush06 — Proof in practice
PROECO GLOBAL LOGISTICSA TMS that drives
operations — not just data.
One environment for quotes, loads, freight, communication, settlements and team oversight. See how logistics experience becomes a working product.
View case study07 — eCommerce at scale
EASTWOOD SOUND & VISIONCatalogue scale.
Personal trust.
Long-term development of specialist eCommerce for professional audio and video: thousands of products, a complex B2B/B2C offer and service that remains human.
View case study
LIVE ECOMMERCE / UKSelected brands and projects
★Trustpilot
4.4★★★★★
11 public reviews100% five-star ratings08 — Trust earned through delivery
We deliver first.
Then we ask for a review.
Before we began teaching AI agents how to work through business processes, we spent years developing systems that daily sales and customer service depended on. Public reviews show what has not changed.
Review 01 / 04
TrustScore and review count according to the public Yuush profile, observed on 31 July 2026. Values may change over time.
09 — See the process
90 seconds.
One case. Full workflow.
Choose an event and see how an agent assembles context, uses tools, completes the work and gives a human only the decision that genuinely needs them.
LIVE SCENARIOETA +4h · client waitingCONFIDENCE 94%
- 01Agent detects a deviationAI
It combines the carrier status, route and agreed SLA.
- 02Builds an action planAI
It checks alternatives, cost and impact on the recipient.
- 03Communicates and updatesAI
It sends an update, changes system records and sets monitoring.
- 04A human approves the exceptionHUMAN
Escalation appears only when the cost exceeds the agreed threshold.
10 — Straight answers
AI without a black box.
Questions worth asking before the first implementation — about autonomy, data, risk and accountability.
01Does an AI agent make decisions independently?+
Only within boundaries we agree together. The level of autonomy depends on risk, model confidence and the value of the decision. Other cases go to a human with the full context.
02What happens to our data?+
We begin by classifying data and minimising access. We agree what information is needed, where it may be processed and how long it should be retained. The architecture follows your company requirements.
03Do we have to replace our current systems?+
Usually not. Yuush agents and applications work as an operational layer across CRM, ERP, WMS, TMS, email and APIs. We modernise the workflow without unnecessary upheaval.
04How do you measure agent quality?+
Before the pilot we define metrics: completion time, accuracy, escalation rate, cost per case and impact on the process outcome. Every action leaves an auditable history.
05What if the agent makes a mistake?+
We design technical and operational controls: data validation, confidence thresholds, permission limits, approvals and reversible actions. An error should be detectable and contained.
06When will we see the first outcome?+
Process Zero ends after 10 working days with a decision based on a prototype and real cases. A full pilot for one process usually takes a few more weeks, depending on integrations.
07Will we depend on Yuush after implementation?+
Our aim is the opposite of lock-in: we document the logic, architecture and policies, transfer knowledge and build tools your team can manage.
Next step
Let's start with one
process that hurts today.
In our first conversation, we will identify the area with the greatest potential and test whether agentic automation makes business sense.
Book a process conversation