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.
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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.
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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.
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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.
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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.
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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.
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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
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Customer support chat assistant
PoC for real-time customer support assistance
Industry: Banking
This PoC tested an AI chat assistant to help consultants answer customer questions on products and procedures.
- Instant information access: Provides consultants with quick, accurate responses, improving service quality.
- Personalized offers: Recommends relevant products and services based on client profiles.
- Reduced manual search: Automates information retrieval, reducing time spent on manual searches.
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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.
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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.