Custom AI agents
Agents designed around specific responsibilities, information, actions, and business rules.
Custom AI implementation
AI solutions designed for real business workflows.
GliterinAI combines AI, software, data, and integrations to build solutions around your operation—not around a standard product.
Book AI Analysis See How We Work- 01 · Business request
The work starts with a request.
- 02 · Retrieve relevant context
Use the relevant business information.
- 03 · Apply workflow rules
Follow the rules agreed for this workflow.
- 04 · Complete an approved action
Keep people involved where judgment is needed.
Illustrative workflow. Each implementation is custom.
The workflow defines the solution.
We do not begin with a fixed tool and search for somewhere to install it. We begin with the business problem, the people involved, the existing systems, and the result you need.
Only then do we determine which AI capabilities, software components, data connections, and interfaces are appropriate.
- People and processes
The team, workflow and business outcome come first.
- AI capabilities
Use information and carry out approved tasks.
- Software and integrations
Connect the applications and data the workflow needs.
Each part supports the same business outcome.
More than answers. AI that can support real work.
Some solutions help people find information or make better decisions. Others can carry out approved actions across a multi-step process.
An AI agent may interpret a request, retrieve relevant business information, apply workflow rules, use connected tools, create an output, update a system, and involve an employee when human judgment is needed.
The interaction may happen through chat, but it can also operate inside an internal application, support platform, dashboard, e-commerce experience, or background workflow.
- 01 · Business request
The work starts with a request.
- 02 · Retrieve relevant context
Use the relevant business information.
- 03 · Apply workflow rules
Follow the rules agreed for this workflow.
- 04 · Complete an approved action
Keep people involved where judgment is needed.
Illustrative workflow. Each implementation is custom.
What an Implementation May Include
Every solution is different. Depending on the workflow, GliterinAI may combine:
Agentic systems
Coordinated AI workflows that can reason through multiple steps, use tools, and move work forward.
Custom applications
Interfaces and internal tools that give employees or customers a practical way to use the solution.
APIs and integrations
Connections that allow the solution to work with existing systems and live business information.
Data pipelines
Processes that prepare, move, structure, and make relevant information available to the workflow.
Automation logic
Reliable rules and processes around the AI, including validation, routing, approvals, and exception handling.
One implementation may use several of these components. The client buys the result—not a collection of disconnected technical services.
Designed to work inside your existing operation.
GliterinAI can connect AI with ERP, CRM, e-commerce, customer-support, database, API, internal, and legacy environments.
Depending on the use case, the solution may:
- Retrieve live information
- Combine context from several systems
- Create reports, responses, or structured outputs
- Update approved records
- Trigger workflows
- Route work to the right person or team
- Support customer communication
- Complete multi-step operational tasks
The objective is not to replace infrastructure that works. It is to improve what the business can do with it.
- Your systems
ERP, CRM, databases and internal tools
- Your information
Documents, product information and company knowledge
- Your workflow
Retrieve information and complete approved actions
- Your people
Review decisions and handle exceptions
Designed around your existing operation.
Not tied to one model, provider, or platform.
The AI landscape changes quickly, and different workflows have different requirements.
GliterinAI selects and combines technology based on capability, quality, reliability, integration needs, performance, cost, maintainability, and the client's existing environment.
We focus on choosing the right tools for the solution instead of forcing every business into one technology stack.
- People and processes
The team, workflow and business outcome come first.
- AI capabilities
Use information and carry out approved tasks.
- Software and integrations
Connect the applications and data the workflow needs.
Each part supports the same business outcome.
Designed around the right level of control.
Not every decision should be automated. A well-designed workflow defines what AI can complete, what should be checked, when approval is required, and when the work should move to a person.
The appropriate balance depends on the process, its risk, and the client's operating requirements.
- 01 · Business request
The work starts with a request.
- 02 · Retrieve relevant context
Use the relevant business information.
- 03 · Apply workflow rules
Follow the rules agreed for this workflow.
- 04 · Complete an approved action
Keep people involved where judgment is needed.
Illustrative workflow. Each implementation is custom.
Example Solution Patterns
The following examples show what custom implementation can look like. They are not fixed products.
Customer-support workflow
Understand the request, use company knowledge, retrieve relevant live data, complete approved actions, and transfer the case to a person when needed.
Internal knowledge assistant
Help employees find procedures, product information, policies, and operational guidance while working.
Document-processing workflow
Extract, check, classify, route, and record information from business documents.
Operations agent
Coordinate a multi-step task across internal tools, prepare the required output, and request approval where appropriate.
E-commerce assistant
Understand natural-language product needs, find relevant catalog items, and connect product discovery with customer or order workflows.
Reporting workflow
Gather information from approved systems and turn it into a structured report or analysis.
What should AI improve in your business?
You do not need to choose a technology or define the architecture. Start with the workflow you want to improve—or let us help you find it.
Book AI Analysis