Discovery
Understand the people, the problem and the intended outcome. Surface the questions still open.
Back to servicesAURENIQ / AI
AI integrations.
AI needs a defined place in the product. We connect relevant functions to data and interfaces, considering access, cost and how results will be evaluated.
Let’s discuss your ideaExplore a starting packageUNDERSTAND THE SOLUTION
AI integrations, beyond the label.
What it is and what it means
AI integration connects a model capability to an existing application or process. It does not automatically replace the system or send all data to a provider.
What it can bring to the business
It can add summarisation, search or classification where teams already work. We select necessary information and output criteria.
How it is managed in practice
Management covers credentials, limits, costs and model versions. Provider errors and outages need a defined fallback behaviour.
DOES THIS SOUND FAMILIAR?
How do you check that the integration helps users with the task it was built for?
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 INTEGRATIONS
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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