Our custom AI solution development process
From discovery and content structuring to a working pilot, we build each custom AI solution around your organization's workflows and validate it with real users.
OUR PROCESS
From need to working product, in four clear steps.
First we understand the need, then we structure the content, build the solution around your organization and grow it by measuring real use.
02 / Structuring
We turn content into usable knowledge
We organize documents, training material and procedures into one sustainable structure the Claro engine can read.
- Topic
- Source
- Context
- Role
OutputStructured content system
04 / Pilot and scale
We validate with a pilot, then scale by measuring
We test the system with real users, measure the results, improve it with feedback and roll the working structure out across the organization.
- Pilot
- Measure
- Improve
- Scale
OutputMeasurable impact and a scaling plan
- 01
- 02
- 03
- 04
01 / Discovery
We discover the need together
We clarify goals, users, the existing content structure and the priority use cases together.
- Users
- Goals
- Content
- Processes
OutputNeeds and scope map
03 / Build
We build the solution around your organization
We bring the assistant, video, assessment and portal components together as one working system that fits your processes.
- AI assistant
- Video
- Quiz
- Portal
OutputWorking product and integrations
- 01
01 / Discovery
We discover the need together
We clarify goals, users, the existing content structure and the priority use cases together.
- Users
- Goals
- Content
- Processes
OutputNeeds and scope map
- 02
02 / Structuring
We turn content into usable knowledge
We organize documents, training material and procedures into one sustainable structure the Claro engine can read.
- Topic
- Source
- Context
- Role
OutputStructured content system
- 03
03 / Build
We build the solution around your organization
We bring the assistant, video, assessment and portal components together as one working system that fits your processes.
- AI assistant
- Video
- Quiz
- Portal
OutputWorking product and integrations
- 04
04 / Pilot and scale
We validate with a pilot, then scale by measuring
We test the system with real users, measure the results, improve it with feedback and roll the working structure out across the organization.
- Pilot
- Measure
- Improve
- Scale
OutputMeasurable impact and a scaling plan
Principles behind our enterprise AI implementation process
Your organization's content, users, and measurable goals guide every technology decision.
Organization-specific scope
Instead of imposing a ready-made template, we define the scope around your organization's priority use cases.
Content-grounded production
We bring the AI assistant, video, quiz, and platform components together around your organization's verified content.
Measurable progress
We validate the pilot with real users and carry feedback and usage data into the next scaling step.
Let's define the first step for your organization together.
Share what you need, and we'll identify the right solution area and a practical pilot scope together.