Build and deploy PoC for Generative AI projects
We build and test Generative AI Proof of Concept (PoC) to ensure technical fit and business value. Start small with Deviniti to validate and refine Gen AI before full commitment.
Our Generative AI development expertise
Structured process
Key modules for building your Generative AI PoC
Our modular Generative AI PoC process lets you choose the specific services you need, without requiring a full commitment to every stage.
-
Module 1: Education
Outcome: Understanding the potential of Generative AI in your business.
We help you and your team understand what Generative AI can do, highlighting areas you may not have considered.
Key points:
- Introduce AI capabilities relevant to your industry.
- Highlight potential improvements AI can bring to specific tasks.
- Address common misconceptions and concerns about AI.
-
Module 2: Exploration
Outcome: A clear understanding of where AI could bring the most value in your business.
We work together to identify the high-impact GenAI opportunities that align with your goals.
Key points:
- Shortlist areas that can benefit from AI improvements.
- Align AI potential with your strategic business goals.
- Evaluate the feasibility of applying AI in selected areas.
-
Module 3: Definition
Outcome: A detailed plan outlining the role of Gen AI in a specific process.
We focus on one selected process, mapping out how Gen AI will integrate into daily workflows and what results you can expect.
Key points:
- Define how AI will work within the chosen process.
- Set measurable outcomes for AI’s performance.
- Identify key interactions between AI and users.
-
Module 4: Consulting & audit
Outcome: A well-informed strategy for AI integration with minimized risk.
Our experts consult with your team to answer any questions, assess current workflows, and identify potential challenges.
Key points:
- Evaluate your current readiness for AI adoption.
- Identify gaps or adjustments needed for successful integration.
- Address compliance, security, and alignment with business goals.
-
Module 5: PoC development
Outcome: A working Proof of Concept (PoC) demonstrating AI’s technical viability and business value.
We develop an interactive PoC for a key process, testing AI’s effectiveness within your business. This allows you to evaluate its performance and potential value before making larger investments.
Key points:
- Create a prototype to validate AI’s technical fit.
- Test AI’s performance and gather feedback in a real environment.
- Refine the solution based on initial results.
-
Module 6: MVP & full-scale development
Outcome: A Minimum Viable Product (MVP) that is ready for real-world testing and feedback.
Building on the PoC, we add essential features to create an MVP that can be tested in real scenarios.
Key points:
- Develop core functionalities to meet immediate business needs.
- Deploy the MVP with selected users for real-world testing.
- Gather feedback and refine the solution for full deployment.
They trusted our expertise
Our Generative AI prototypes for enterprise clients
-
AI Agent for complaint management
PoC for document sorting and case prioritization
Industry: Banking
This PoC focused on automating the handling of complaints, including document sorting and priority setting.
- Automated document sorting: Categorizes incoming documents, reducing errors and directing them to the correct teams.
- Case prioritization: Assigns priority based on urgency and tone, helping resolve important cases faster.
- Reduced workload: Takes over repetitive tasks, freeing employees to focus on more complex cases.
-
HR service chatbot
PoC for automated HR inquiries and ticketing
Industry: Banking (internal HR team)
This PoC involved a chatbot designed to handle HR inquiries, automating repetitive queries and ticketing tasks to improve response times and reduce HR workload.
- 24/7 query handling: Manages common employee questions automatically, minimizing HR involvement.
- Automated ticketing: Streamlines routine tasks like ticket creation and resolution.
- Time-saver: By automating repetitive tasks, both employees and HR specialists save time for other work-related tasks.
We build safe, compliant, and ethical AI systems
Security & ethics in AI
AI guardrails
We establish guidelines to ensure the responsible use of Generative AI, minimizing risks associated with AI deployment.
Acceptable AI use policies
Our team helps develop and implement policies that govern the use of AI within your organization, ensuring ethical practices.
Ethical AI practices
We adhere to principles of fairness, transparency, and accountability, ensuring that our Gen AI solutions are not only effective but also ethical.
Testimonial
What our clients say
By automating certain customer interactions, bank employees are provided with a prepared “semi-product”, which enables them to dedicate more time to personalizing and empathizing with customer communication, and thus taking even better care of their needs.
Why choose us
Secure Gen AI PoC&MVP development
Data security
Regulatory compliance
Auditability
Get in touch
Let’s talk
Book 1-on-1 consultation
Grzegorz Motriuk
Head of Sales | Application Development
Our consultant is at your disposal from 9 AM to 5 PM CET working days from Monday to Friday for any additional questions.
-
What is a PoC in generative AI?
A Proof of Concept (PoC) in Generative AI is a small-scale prototype designed to test the feasibility of an AI-driven solution before committing to full-scale development. It helps validate whether the AI model can achieve its intended goals, whether it’s generating human-like text, automating customer support, creating AI-powered assistants, or enhancing business intelligence.
At Deviniti, we specialize in Generative AI PoC development, ensuring businesses can experiment with AI applications quickly and cost-effectively. Our structured PoC process provides real-world validation, allowing companies to test AI models in their specific environment, minimize risks, and gain valuable insights before scaling.
-
How to do AI PoC?
Developing an AI PoC requires a well-defined process to ensure its success. At Deviniti, we follow a structured approach that includes:
- Defining the business challenge – Understanding the specific problem AI is expected to solve.
- Selecting the right AI model – Choosing or fine-tuning a custom AI agent, LLM, or chatbot tailored to your needs.
- Building a minimal viable prototype – Developing a lightweight, functional AI solution to validate the idea.
- Testing and validating – Running controlled experiments to measure performance and ensure feasibility.
- Analyzing results and refining – Identifying improvements before moving to full-scale development.
By partnering with best GenAI development agency Deviniti, you can accelerate your PoC, avoid costly mistakes, and ensure a smooth transition from concept to implementation.
-
Why do 80% of AI projects fail?
A staggering 80% of AI projects fail due to unclear business objectives, lack of AI expertise, poor data quality, and overcomplicated implementations. Many companies struggle with AI adoption because they underestimate the complexity of building, training, and deploying AI models.
The key to avoiding AI project failure is working with an experienced AI development partner like Deviniti. We eliminate common pitfalls by:
✅ Aligning AI development with your business goals – ensuring your investment delivers measurable value.
✅ Providing access to top AI expertise – so you don’t have to build an in-house team from scratch.
✅ Leveraging our proven AI methodologies – to accelerate PoC development and minimize risks.
✅ Implementing best-in-class AI architectures – from self-hosted LLMs to advanced RAG models.With Deviniti’s AI consulting and development expertise, you gain a trusted partner who ensures your AI project succeeds from concept to deployment—without costly missteps.
-
How does an AI PoC contribute to cost savings?
A Generative AI Proof of Concept (PoC) is a strategic investment that helps businesses validate AI solutions before committing to full-scale development, ultimately reducing costs and minimizing risks. At Deviniti, we ensure that our AI PoCs deliver clear financial benefits by:
✅ Preventing unnecessary AI investments – A PoC helps determine whether an AI solution is viable before committing significant resources to development. This avoids expensive missteps and ensures AI is implemented where it delivers real value.
✅ Optimizing resource allocation – Instead of hiring an in-house AI team, which requires significant investment in talent, infrastructure, and expertise, businesses can leverage Deviniti’s AI team to accelerate development at a fraction of the cost.
✅ Reducing time-to-value – Our 4-12 week PoC process ensures that businesses can quickly test AI applications and make data-driven decisions—avoiding prolonged development cycles that drive up costs.
✅ Enhancing operational efficiency – A successful AI PoC identifies automation opportunities, streamlining processes and reducing manual effort in areas like customer support, content generation, and data analysis.
✅ Minimizing technical risks – By leveraging Deviniti’s expertise in LLM development, RAG architecture, and AI agent creation, businesses avoid costly mistakes common in AI model deployment and integration.
With Deviniti, your AI PoC is not just a test—it’s a cost-effective, strategic step toward AI-powered business transformation.
-
How long does it take to develop a Generative AI PoC?
The development timeline for a Generative AI Proof of Concept (PoC) depends on the scope, complexity, and data requirements of the project. At Deviniti, we typically deliver AI PoCs in 4 to 12 weeks, ensuring a fast yet thorough validation process.
Our approach is designed to balance speed and precision—allowing businesses to test AI capabilities without unnecessary delays or overcomplication.
With Deviniti’s structured AI PoC development, you can efficiently test your AI use case, minimize risks, and accelerate your AI adoption—without wasting time on lengthy, uncertain projects.