Discovery
Understand the people, the problem and the intended outcome. Surface the questions still open.
Back to servicesAURENIQ / AI
AI assistants.
An AI assistant can help people find information and complete tasks within a product. We define its role, access and review points before connecting real actions.
Let’s discuss your ideaExplore a starting packageUNDERSTAND THE SOLUTION
AI assistants, beyond the label.
What it is and what it means
An AI assistant combines conversation with information and, where authorised, tools for a specific role. Its access needs explicit boundaries.
What it can bring to the business
It can support search, document preparation or work organisation. A prepared action remains distinct from an executed and confirmed one.
How it is managed in practice
Management includes permissions, approvals and output checks. Connected tools need separate testing; a general model is not described as infallible or agency-trained from scratch.
DOES THIS SOUND FAMILIAR?
What can the assistant prepare, and what should the user confirm?
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
AI ASSISTANTS
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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