DocumentsForecastingImages
Organization-specific AI
Hosted Core: AI systems designed around your organization
Hosted Core delivers organization-specific AI capabilities—such as document classification, text processing, forecasting and image analysis—as models, services and application integrations. The right approach is selected by evaluating the business objective, data quality, acceptable error levels, security and operational requirements together.Data preparationEvaluationModel version
APIManagement screenHuman approval
Where does it fit?
Support recurring decision and review work with measurable AI capabilities.
Hosted Core is not a general-purpose chat tool. It focuses on clearly bounded business problems with explicit success criteria, such as classifying a document, forecasting a defined outcome or identifying a specified condition in an image.Classifying document and text workflows
Categorize forms, emails, contracts or support records by topic and process type, extract required fields and present the result for human review.
Producing forecasts and prioritization signals
Use demand, risk, volume or maintenance data to generate scores and forecasts that support a defined business decision.
Supporting image review
Mark defined objects and conditions in product, field or quality images to help authorized users review them more efficiently.
Product capabilities
The AI lifecycle from data preparation and model selection to application integration, versioning and quality monitoring.
Use-case and feasibility assessment
The current workflow, expected output, consequence of error and whether AI is genuinely appropriate are evaluated together.
Data preparation and access
Data sources, data quality, required labels, access permissions and personal or sensitive-data conditions are reviewed.
Model and service approach
Ready-made models, provider services and project-specific model options are compared against acceptance criteria, cost and operational overhead.
Application and system integration
Where the model output will be used and how it will be presented are defined, then the required integrations and interfaces are developed.
Evaluation, monitoring and version management
Test data, success and error metrics, usage records, model changes and human approval where required are planned as part of the lifecycle.
Delivery approach
Aim for a measurable result on real data, not an impressive demo.
The model approach is selected according to the data and use case. Where the output will be used, which error levels are acceptable and when human review is required are defined before production.Define the business decision before the model
The starting point is not “let us use AI,” but the decision or task that needs to improve.
Evaluate success with measurable data
Decisions are based on representative test data, a baseline method and acceptance criteria rather than demonstration examples alone.
Design human oversight for high-impact outputs
For legal, financial, healthcare or similarly consequential uses, expert review, an escalation or challenge path, and clear responsibility boundaries are defined according to the requirement.
Frequently asked questions
What to know before choosing Hosted Core.
Clear answers to the main questions about product use, capabilities, integrations and responsibilities.How is Hosted Core different from Hosted Mind?+
Hosted Mind focuses on customer communication and answering questions from defined sources. Hosted Core connects document, forecasting, image and other organization-specific AI capabilities with existing business processes.
Is a model built from scratch for every use case?+
No. Ready-made models, provider services and project-specific development options are compared according to data suitability, acceptance criteria, cost and operating requirements.
What accuracy rate will the model achieve?+
A fixed rate cannot be stated before reviewing the use case and data. Appropriate metrics are selected, results are reported on representative test data and an acceptance threshold is agreed with the customer.
Will our data be sent to an external AI provider?+
This is not assumed by default. The selected provider and the terms governing data transfer, storage, access and training are defined during architecture and contracting.
How does the model connect to our existing applications?+
Depending on where the output will be used, an API, background job, management interface or integration with an existing workflow may be developed. The result shown to users, error behavior and human approval are designed within the same flow.
How is the AI system monitored after release?+
Depending on scope, usage volume, error rates, acceptance metrics, data changes and model versions may be monitored. Re-evaluation and update frequency are based on the risk and rate of change in the use case.
Does Hosted Core make decisions fully automatically?+
That depends on the use case. Direct automation may be appropriate for low-impact tasks; consequential outputs can include human review, approval thresholds and a feedback path.
Initial assessment for Hosted Core
Share the business decision and the data you have so we can assess the technical suitability of AI.
Tell us about your current setup, the systems that need to connect and your priorities. We will identify the technical topics and service scope that should be covered in the initial discussion.Current setupGoals and prioritiesConnected systems