Discovery
Understand the people, the problem and the intended outcome. Surface the questions still open.
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Intelligent customer support.
Intelligent support begins with recurring questions and dependable information. We connect search, AI assistance and handover to the team in a clear journey.
Let’s discuss your ideaExplore a starting packageUNDERSTAND THE SOLUTION
Intelligent customer support, beyond the label.
What it is and what it means
AI-assisted support organises questions and prepares answers from defined sources. It supports the assistance process with boundaries and escalation.
What it can bring to the business
It can help teams find consistent answers and identify requests needing a specialist. It does not assume every situation can be resolved autonomously.
How it is managed in practice
Knowledge sources, categories and handoff rules need regular review. Messages and data access are restricted to the agreed purpose.
DOES THIS SOUND FAMILIAR?
How does the conversation’s context reach the person taking over?
We choose a use case, the sources the system may rely on and how its responses will be evaluated. We define what it may do independently, when it needs confirmation and how unclear cases reach a person. A pilot provides a basis for the next decision.
01
Repetitive tasks and manual data transfer
02
Documents that are hard to search and process
03
Inconsistent support responses
INTELLIGENT CUSTOMER SUPPORT
What takes shape in the project
We agree what belongs in the project, what implementation involves and what is better left for a later stage.
- Feasibility and available-data assessment
- Prototype with evaluation criteria
- Integrations and human review mechanisms
- Monitoring, limitations and usage documentation
Tools chosen for the context
HOW WE WORK
Know where we are. Know what comes next.
Strategy
Choose the first useful version, dependencies and the milestones for evaluating progress.
Design
Put workflows in front of you before they become features that are expensive to change.
Development
Build in stages you can see, test and discuss.
Testing
Check usage scenarios, accessibility and the application’s sensitive points.
Launch
Prepare the environment, content, access and agreed administration steps.
Support
Prioritise improvements and agree the support that fits the product.
AURENIQ / GUIDES
Before the first discussion.
FAQ
The things worth clarifying from the start.
Which business process should an AI automation project start with?
We choose a repeated task with examples and an outcome the team can evaluate. We define sources, exceptions and steps needing human approval before connecting real operations.
Can an AI assistant use company documents?
Search over authorised sources can be designed with permissions and references to relevant documents. Provider selection, acceptable data and answer evaluation are part of discovery; answers are not assumed to be infallible.
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