Built for Your Logic
Generic tools force you to adapt. A custom agent is built around your business rules, edge cases, and standards.
The next step in business automation: Handle Repetitive Workflows, Eliminate Manual Effort and Scale Operations.
An AI Agent is software that doesn't just respond, it acts. Unlike a chatbot that answers questions or RPA that follows fixed scripts, an AI Agent perceives context, makes decisions, and executes multi-step tasks autonomously. At Codya, we build custom AI Agents tailored to your specific processes, from document handling and compliance checks to complex workflows across your ERP or CRM, deployed securely in your environment, on-premises or in the cloud.
Employees spend 60% of their time on repetitive tasks, leaving just 26% for high-value work.
Manual workflows generate 10 errors per 100 steps, regardless of experience or training.
Employees spend an average of 1.8 hours every day just searching for information.
90% of customers expect a response in under 10 minutes. The average company takes over 12 hours.
Non-compliance costs organisations nearly 3x more than maintaining compliance.
Early adoption turns into a long-term advantage. A custom AI Agent is the fastest way to lock in efficiency and outpace the market.
Built for Your Logic
Generic tools force you to adapt. A custom agent is built around your business rules, edge cases, and standards.
Powered by Your Data
Grounded in your proprietary data, the agent delivers precise, context-aware results, not generic outcomes.
Automated Yet Controlled
Custom agents automate routine tasks but pause and request human approval for critical decisions.
Seamless System Integration
Your agent connects directly to your existing tools and databases, no rip-and-replace required.
Strict Data Privacy
We design agents that comply with GDPR, offering secure on-premise or private cloud deployments.
Transparency
Every decision is fully logged. You get clear audit trails, measurable ROI, and complete operational oversight.
A transparent, predictable process to turn your business logic into automated action.
We analyse your core business challenges to define the exact rules the agent must follow and assess technical feasibility, e.g., through a rapid AI Proof of Concept. We establish clear success criteria to ensure ROI before development begins.
We securely structure and connect your data using RAG or fine-tuning, grounding the agent in your exact business context, so it delivers precise insights rather than generic outcomes.
Your agent is implemented, connected to your existing systems, databases and tools, configured to execute tasks exactly as your operations require, including human-in-the-loop setup for high-stakes decisions.
Before going live, the agent is validated in a secure sandbox environment to ensure it performs reliably across real-world scenarios.
We deploy the agent securely, on-premises, or in the cloud. Post-launch, we provide continuous monitoring, performance tracking, and regular updates to keep the agent aligned with your operations.
Deployment isn't the end of the project; it's the beginning of a long-term partnership. Through ongoing Managed AI Services, we continuously monitor performance and proactively identify areas for improvement.
As your business evolves, new tools are adopted, or your data changes, we perform the necessary fine-tuning and logic updates to keep the agent accurate and aligned with your current needs.
Repetitive workflows, missed exceptions, slow response times. AI agents handle the entire process, from trigger to resolution, across your existing systems, without constant human oversight.
Working Agent, Fully Integrated
A production-ready agent connected to your existing systems, tested and validated against your real business scenarios.
Custom Knowledge Base
Your internal documents, processes and data structured and indexed for the agent to retrieve and act on accurately.
Human-in-the-Loop Configuration
Defined approval workflows and escalation paths, so your team stays in control of every critical decision.
Documentation & Handover
Full technical documentation, user guidelines and a complete handover pack ensuring your team can operate the agent independently.
Monitoring Dashboard
Real-time visibility into agent activity, decision logs, performance metrics and audit trails.
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Together with Codya we have delivered successfully a handful of projects within data mining and AI areas. First and foremost, I value the Codya’s team attention to details and the push for common understanding of project’s scope. Practical approach with short design iterations, onboarding UX early and deep understanding of the client’s problem are definitely a recipe for success.
Head of R&D at R&D Basler Poland
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It was great working with Codya on the KYC software project. They proactively come up with possible solution designs or improvements to requirements. Communication and responsiveness with the team were always excellent. I can highly recommend working with the Codya Team.
Senior Business Consultant at CRIF
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Working with Codya is a gamechanger: their proactive approach, constant stream of fresh ideas, and willingness to challenge assumptions led to consistently productive collaborations!
Product Group Architect at Basler AG
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The Codya team put a lot of effort into developing a user-friendly application for us. The development process went smoothly and according to plan. They handled everything from gathering requirements to deployment seamlessly. Due to the excellent level of service we received, we felt like significant clients.
Co-founder & Enterprise Director at Lekta AI
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Our collaboration with Codya was defined by their exceptional flexibility and professionalism. The team consistently brought fresh ideas and constructive input, making the partnership both effective and enjoyable. We genuinely appreciated the open communication, the friendly and engaged attitude of everyone involved, and the team's highly self-organized and reliable way of working.
Systems Engineer at Basler AG
A chatbot responds to a fixed script. A custom AI agent is fundamentally different; it reasons, plans, and autonomously executes multi-step tasks by connecting to your internal systems and data. Unlike a chatbot, it adapts as new information emerges, making decisions based on your business rules rather than a generic conversation flow. For a deeper look at how AI agents work and where they deliver the most value, read our guide: What are AI Agents? Use Cases and Core Concepts.
The timeline depends on the complexity of your workflows and the number of system integrations required. Typically, a focused agent can be delivered within 6–12 weeks, starting with a rapid Proof of Concept to validate feasibility before full-scale development begins.
Yes, and integration is central to how AI agents deliver value. Rather than operating in isolation, agents connect directly to your ERP, CRM, or any other business system via APIs, webhooks or native connectors. This means they can read live data, trigger actions and update records in real time, whether that's closing a ticket in Salesforce, generating a PO in SAP or syncing customer data across platforms. We handle the integration layer as part of the implementation.
Control is built into the agent by design. You define the boundaries, what systems it can access, what actions it can take and where it must pause for human approval. The agent operates within those boundaries and logs every decision it makes, always giving you full visibility and an audit trail.
Absolutely. We offer on-premises and private cloud deployment options, meaning your proprietary data never leaves your environment. Every agent is built in compliance with GDPR and your internal data security policies.
Less than you might think. An AI agent doesn't require a custom training dataset. It's built on a foundation model that already understands language, logic and reasoning. What it needs to become useful for your business is context, and there are two primary ways to deliver it:
RAG (Retrieval-Augmented Generation) is the most common approach. Instead of training the model, you give it access to your internal documents, knowledge bases, process rules and live system data. The agent retrieves the right information at the right moment and acts on it. It's faster to deploy, easier to update and keeps the agent current as your business evolves.
Fine-tuning goes a step further. The model is trained on your own data to consistently reflect specific terminology, tone or highly specialised domain knowledge. It's a targeted enhancement rather than a prerequisite, and works best when your use case involves repetitive, domain-specific outputs where precision really matters.
AI agents are not static. Through our Managed AI Services, we perform regular model updates, logic recalibrations, and workflow adjustments to ensure the agent stays aligned with your evolving operations. You are never left with an outdated solution.
Costs vary based on complexity, number of integrations and scope. We recommend starting with a fixed-price AI PoC, structured as 2-week sprints from €5,000 each, delivering a working prototype with full documentation and a development roadmap. A typical PoC requires between 1 and 3 sprints. For the full agent build, we work on a Time & Material basis, giving you full cost transparency and the flexibility to scale the team as your project evolves.
The best way to find out is through a structured feasibility assessment. During our Process Discovery & Feasibility phase, we analyze your business challenges, identify the right automation opportunities, and validate the concept through a rapid PoC, so you have clear evidence before any significant investment is made.
Schedule a no-obligation consultation to explore how a custom agent can automate your workflows and deliver measurable results.
