Web solutions

AI solutions for business

We add AI functionality to web applications, portals and business systems to automate document generation, data processing, request analysis and internal workflows.
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AI solutions for business

AI solutions as part of a real business workflow

An AI solution is valuable in business when it is connected to a specific process, data and expected outcome. It can help prepare documents, analyse requests, classify information, summarise content or support the team through an internal assistant.

The key is not just adding an AI tool, but defining what data it can access, how the prompt is structured, how the response is checked and where the result moves in the workflow.

We develop AI functionality as an integrated part of the system - with a clear use case, access logic, quality control and connection to existing tools.

When AI solutions for business are needed

AI solutions are suitable for businesses that want to automate a specific process or add AI functionality to an existing web application, portal, CRM or business system.

Document generation needs automation

Contracts, proposals, reports, applications or other documents need to be generated from data, templates and specific business logic.

Data needs to be processed or classified

Texts, requests, customer messages, documents or records need to be analysed, categorised, summarised or normalised.

The team needs an internal AI assistant

The team needs an assistant based on company data, guidelines or documents that helps prepare replies, summaries or decision support.

AI needs to be built into an existing business system

AI functionality needs to be built into CRM, ERP, client portal, web application, document flow or another existing business process.

What AI solution development includes

AI solution development starts with defining the specific use case, data sources, prompt logic and integration flow.

Use case and data source definition

Process analysis, data availability, AI role, user permissions, output format and place in the existing workflow.

Prompt logic and AI API integration

System prompts, user input structure, API connections with OpenAI, Claude, Gemini or other AI services and response processing.

Connection with existing systems

Integration of AI functionality with CRM, ERP, web application, database, document storage, forms or internal dashboards.

Testing, security and quality control

Response quality testing, error scenarios, access control, data limits, prompt optimisation and ongoing development.

What AI solution development includes

AI solution development starts with defining the specific use case, data sources, prompt logic and integration flow.
AI solutions for business

Use case and data source definition

Process analysis, data availability, AI role, user permissions, output format and place in the existing workflow.

Prompt logic and AI API integration

System prompts, user input structure, API connections with OpenAI, Claude, Gemini or other AI services and response processing.

Connection with existing systems

Integration of AI functionality with CRM, ERP, web application, database, document storage, forms or internal dashboards.

Testing, security and quality control

Response quality testing, error scenarios, access control, data limits, prompt optimisation and ongoing development.

Technical approach

For AI solution development, we use AI API connections and custom system logic so AI works within a specific process, not as a separate external tool.

Depending on the project, this can include prompt structure, data preparation, document generation, classification, summaries, internal assistants or an AI layer above CRM, ERP, a web application or document workflow.

The technical approach is defined around data sources, security requirements, user roles, response validation needs and how the AI output is used in the following workflow.

AI solution development process

AI solution development is planned around a specific process, data sources, user roles and expected output, so AI solves a practical business task.

01

Define

We clarify the business process, automation goal, users, data sources, risks and expected AI output.

02

Structure

We plan the data flow, prompt logic, access permissions, response validation and where the AI output moves in the following process.

03

Develop

We build AI API connections, required system logic, data processing, document generation, internal assistant functionality or automation.

04

Test and improve

We test response quality, error scenarios, access permissions, data limits and adjust the solution for real use.

05

Validate

Before launch we test speed, responsiveness, forms, tracking, integrations, SEO foundations and key user journeys.

06

Evolve

After launch the solution can be maintained, improved, expanded with new features and adapted to the company's next needs.

AI solution and automation projects

Selected projects showcasing AI-powered document generation, data processing, internal assistants, and workflow automation.
Portfolio
E commerce VBack-endFront-endStrategy

Vedam

Custom web development for moving service provider featuring an e-commerce, storage box rental, CRM integration and automated email workflows.
E commerce SBack-endFront-endStrategy

Sirowa

Redesigned website for AS SIROWA RIGA with product catalogue, inquiry-based ordering system, seminar registration, and automated email workflows by Brandsite.
E commerce SLUI/UXE-commerceWebsite

Swim.lv

Online store for swimwear featuring product filters, live stock visibility, user profiles, and seamless checkout. Designed by Brandsite on WooCommerce.

Frequently asked questions about AI solutions for business

Where there is repetitive work with text or data - document preparation, email writing, data classification, customer query processing or guiding internal processes.

Tell us about your AI automation needs

Describe the process you want to automate or improve with AI. We will help identify the right use case, data and technical approach.

Budget

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