AI solutions

AI solutions for cases that fit no off-the-shelf software.

Ziya builds yours. Not as a pilot that falls asleep after the demo, but as something that reaches into your systems and goes into operation.

Discuss your use case

The four layers

  1. Connectors
  2. Agent Runtime
  3. Governance
  4. Model Layer

What already runs on ZiyaOS

  • Research
  • Training
  • Workflows
  • Document review

Definition

What AI development means

AI development is building an application that takes over a concrete task in a company: reading documents, answering enquiries, producing reports, triggering workflows. It differs from off-the-shelf software in being tied to the processes, data and systems of one particular company.

At Ziya every such application stands on ZiyaOS: connectors, permissions, model layer and operations are built once. A new case is therefore an addition to something already running rather than a project from scratch.

What already runs on ZiyaOS

Four applications, and yours as the fifth

Every one of them runs on the same foundation: connections, permissions, model layer, operations. Your case builds on it instead of starting from zero.

  • Research

    Answers from your own documents, with a source on every statement.

  • Training

    Rehearse the conversation before it happens, with tasks for the team.

  • Workflows

    Trigger, AI step, branch, approval: the run happens on its own.

  • Document review

    Contracts and quotes checked, with the suggested edit right where it belongs.

  • Your app

    The case there is no app for yet. Tell Ziya about it.

Implementation

From the case to operation, in weeks rather than quarters

Ziya does not start from zero. What gets built on one project is already standing on the next.

  1. Sharpen the use case

    What exactly should get better, how will you know, and what data is actually there for it.

  2. Prototype on real data

    Not a concept paper but something usable, on your own documents and systems.

  3. Connect and secure

    ERP, CRM, DMS, roles and permissions, audit logs. The part where prototypes usually get stuck.

  4. Put it into operation

    Cloud, on-premise or air-gapped, with monitoring and a person you can reach.

ZiyaOS

Why this is faster than it was with your last vendor

Every solution stands on ZiyaOS: connectors, permissions, the model layer and operations are built once and run underneath everything Ziya ships. A new use case is therefore not a project from scratch but something set on top of what already runs. With an isolated one-off project you pay for that foundation every single time.

See ZiyaOS
Apps
TranscriberSlidesContract reviewQuote agentService chatmore apps
TriggersAgent RunsConductorSandboxesTransactionsSubagentsP2PEventsTriggersAgent RunsConductorSandboxesTransactionsSubagentsP2PEvents
SkillsCapabilitiesModel CardsContext BuilderMemoryViewsActionsSkillsCapabilitiesModel CardsContext BuilderMemoryViewsActions
MiddlewaresRolesExecution RulesSecret StoreCost CenterAudit LogGovernanceMiddlewaresRolesExecution RulesSecret StoreCost CenterAudit LogGovernance
ZiyaOS

Solutions Ziya has already built

RAG System: Intelligent document search and AI answers
Solution

RAG System (Retrieval Augmented Generation)

Intelligent knowledge search and generation through AI-powered document analysis for precise answers to your questions.

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Internal GPT System: Secure Enterprise AI
Solution

Internal GPT System

Your own secure GPT system for internal communication and processes without data privacy concerns.

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AI Wiki System: Intelligent Knowledge Management
Solution

Wiki System

Intelligent wiki system with AI-powered content creation and automatic categorization for optimal knowledge management.

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AI Reporting System: Automated Business Intelligence
Solution

Reporting System

Automated creation and analysis of business reports through AI with intelligent insights and personalized dashboards.

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AI Report Generation: Automated report generation
Solution

AI-Powered Report Generation

Automated creation, analysis and categorization of reports through AI for structured documentation and insights.

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AI Proposal Generation: Automated proposal creation
Solution

AI-Powered Proposal Generation

Automated creation of professional proposals through AI with personalized content and optimal pricing strategies.

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AI Data Collection: Intelligent data analysis and visualization
Solution

AI-Powered Data Collection & Analysis

Intelligent analysis and visualization of existing data for pattern recognition, data filtering and optimized data management.

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AI Contract Analysis: Automated contract review and risk assessment
Solution

AI-Powered Contract Analysis

Automatic analysis and evaluation of contracts through AI for risk assessment, compliance review and optimized contract management.

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Intelligent Chatbot: AI Customer Service for Websites
Solution

Intelligent Chatbot for Website & Support

AI-powered chatbot for 24/7 customer service with natural conversation and seamless integration into your website.

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Intelligent Document Analysis: AI-powered document processing
Solution

Intelligent Document Analysis

AI-powered extraction, classification, and processing of information from all document types for automated workflows.

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AI-powered Process Automation: Intelligent Workflows
Solution

AI-powered Process Automation

Intelligent automation of complex business processes through AI-driven workflows and decision logic.

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AI Voice Assistant: Intelligent Customer Service with Voice AI
Solution

AI Voice Assistant for Customer Service

Intelligent voice assistant for automated first-level support with natural conversation in real time.

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Interactive Prompt Engineering Training Platform: Gamified Learning for Teams
Solution

Prompt Engineering Training Platform

Innovative software platform for gamified prompt engineering training with interactive battle features and AI integration for your company.

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Common questions about AI solutions

What does implementing an AI use case cost?
It depends on how many systems have to be connected and how clean the data is. Building the AI function is rarely the expensive part. The connectors, the permissions and the operations are, and at Ziya those already stand on ZiyaOS. One conversation is usually enough to say whether it works, how long it takes and what it costs.
How long until an AI solution is in production?
Weeks rather than quarters, because Ziya does not start from zero. The sequence is always the same: sharpen the use case, prototype on real data, connect and secure it, put it into operation. The step where projects usually stall is connecting to ERP, CRM and DMS. At Ziya that is configuration rather than development.
Can an AI solution run on-premise?
Yes. Cloud, on-premise or air-gapped, depending on what your data requires. The application is the same; where it runs is a decision, not different software. For public authorities and regulated industries air-gapped is regularly the requirement, and the platform is built for it.
What happens to our data, and is it used to train models?
Your data stays yours and is not used to train models. Operation runs in the EU or in your own data centre, with a data processing agreement, roles and permissions as in the rest of your IT, and logging across everything that happens.
Do we have to commit to one AI model?
No. The model layer is interchangeable, and which model handles a task is a setting. That protects you when a vendor changes its prices or a better model appears, and both are the rule rather than the exception in this market.
What if our case fits none of the existing applications?
Then it is exactly why this page exists. Research, training, document review and workflows are the four applications already running on ZiyaOS. Yours becomes the fifth and builds on the same foundation.

Book your free initial consultationwith AI experts now

Email Ziya
info@ziya.de
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