An assessment of the use case, data and required integrations.
AI Solutions
AI that integrates with your current system or runs as a standalone product
We turn practical AI use cases into clear tools for teams, from intelligent assistants to document processing and data analysis.
Overview
What this service helps you achieve
We do not start by picking a model and searching for a problem. We start with the task, data and decision you want to improve, then determine whether AI should be added to your ERP or website or built as a fully standalone system.
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Automate repetitive parts of work while keeping human review points where they matter.
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Make information easier to access or analyze within day-to-day workflows.
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Test the value of a proposed use case before expanding investment in the solution.
A clear scope
What you receive
A proposed user flow, review points and appropriate controls.
A prototype for testing the idea and evaluating its outputs.
An integration with an existing system or a standalone application within scope.
Evaluation setup and handling for unclear cases within agreed capabilities.
Documentation for usage, integration and future change management.
How we work
The phases adapt to scope, while decision clarity, documentation and review remain consistent.
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Select the use case
We define the task, user and intended outcome instead of starting with technology alone.
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Review data and integration
We inspect data sources, quality and how the solution can connect to current systems.
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Prototype and evaluate
We build a focused experience and test outputs against examples that represent real usage.
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Implement in the workflow
We add the solution to the current system or build the standalone interface and define review points.
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Observe and improve
We review feedback and output quality, then agree on priority improvements.
Technical capabilities
Capabilities selected around the outcome
- Customer support chatbots and assistants across the website or available channels.
- Sales and ERP data analysis to support interpretation and decision-making.
- Document data extraction and processing automation using OCR.
- Screening and recruitment assistants that support HR teams.
- LLM integrations tailored to the agreed context and knowledge sources.
- Human review-point design and output quality evaluation.
Engagement flexibility
Engagement models
MODEL / 01
Add-on to your current system
Integrate an AI capability into an ERP, website or system already in use.
MODEL / 02
Standalone AI system
Build an assistant or platform with its own interface, workflows and integrations.
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Use-case prototype
Test value, data and evaluation methods before deciding on a full build.
Related products
Customer relationship management
A CRM that organizes customer data, opportunities and activities, so your team knows the next step and its owner without losing details across messages and files.
A unified operating system
An ERP that brings core data and processes into one connected workspace, reducing fragmentation and giving each team a clearer view of what matters to them.
Clearer human resources management
From employee records and leave requests to follow-up and reviews, HR helps your team organize procedures and preserve context in one place.
Frequently asked questions
Do we need to replace our current system to use AI?
Not necessarily. If the current system offers suitable connection methods, we can assess adding the required capability. If that is not practical, we outline the standalone alternative.
Do we need to prepare our data before starting?
It depends on the use case. We review data sources, quality and access, then identify what needs to be organized or prepared before implementation.
Should we start with a complete solution or a prototype?
When the idea or data is untested, a prototype is useful for evaluating value and outputs before expanding the scope.
Is the goal to replace our team?
We generally design the solution to support the team, reduce repetitive work and improve access to information, while defining where human review and decisions remain essential.
Start with your needs
Start with a clear AI use case
Share the task, data and current system so we can define the shortest practical path to test the idea.