AI services for business process automation
We build AI automation to simplify complex business processes. Our services include data preparation, workflow organization and transforming old processes into intelligent, self-improving systems.
Our Generative AI development expertise
Use cases
AI business process automation we developed
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1. AI knowledge bots / AI Agents
AI knowledge bots/AI Agents can quickly fetch the right information, helping employees make better decisions faster.
What AI can do for you:
- Retrieve documents and FAQs instantly using natural language search
- Automate document searches and simplify onboarding for new employees
- Provide personalized recommendations based on the user’s role and tasks
Example use cases:
- Legal AI assistant – Analyzes contracts and suggests edits for compliance
- Financial analysis assistant – Pulls earnings reports, market trends, and forecasts in real-time
- Regulatory compliance bots – Track policy changes and ensure updated procedures
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2. AI-based email response
AI can read, analyze, and respond to emails for you, ensuring customers instantly get accurate answers.
What AI can do for you:
- Sort and prioritize emails based on urgency, sentiment, and content
- Generate responses based on past conversations and CRM data
- Detect fraud or compliance risks in email communication
- Translate and respond to emails in multiple languages
Example use cases:
- AI contract negotiation assistant – Scans contract terms and suggests negotiation points
- Legal compliance monitoring – Flags contract risks before approval
- Fraud detection – Identifies phishing attempts and unauthorized requests
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3. Automated document processing
AI can scan, analyze, and verify contracts, invoices, and compliance documents, ensuring accuracy while reducing workload.
What AI can do for you:
- Extract key details from contracts, invoices, and regulatory paperwork
- Validate compliance with industry standards and flag missing information
- Cross-check contracts with internal policies to ensure compliance
Example use cases:
- Regulatory compliance audits – Ensures documents meet legal standards
- AI contract analyzer – Automates contract verification e.g. for legal departments
- Supply chain automation – Verifies invoices, shipping records, and customs documents
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4. Sentiment & customer analysis
AI can analyze conversations, emails, and social media comments to detect emotions, frustration, or dissatisfaction before they escalate into bigger problems.
What AI can do for you:
- Identify happy, neutral, or frustrated customers based on language and tone
- Detect potential issues and flag them before they turn into complaints
- Analyze calls, emails, online reviews and feedback and suggest better responses for agents
Example use cases:
- Crisis management – AI detects negative brand mentions and alerts your PR team
- Customer loyalty prediction – Identifies at-risk customers and suggests retention strategies
- Churn prevention – Flags early warning signs of dissatisfied customers
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5. KYB/KYC compliance automation
AI automates Know Your Customer (KYC) and Know Your Business (KYB) processes, ensuring faster verification, fraud detection, and compliance with AML (Anti-Money Laundering) and financial regulations.
What AI can do for you:
- Verify passports, business licenses, and official documents instantly
- Detect fraudulent documents and fake identities
- Cross-check customers and businesses against sanctions lists & AML databases
Example use cases:
- Automated risk scoring – AI assigns risk levels based on transaction history and document verification
- Financial fraud detection – Identifies suspicious patterns in business transactions
- Automated compliance reporting – Generates audit-ready compliance reports
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6. Voice to issue
AI-based transcription and task automation ensure the key point of meeting is captured and followed up on.
What AI can do for you:
- Convert meeting discussions into structured summaries and action points
- Automatically generate to-do lists with assigned responsibilities
- Transcribe sales calls, customer feedback, and executive briefings for better decision-making
Example use cases:
- AI-generated sales insights – Identifies opportunities and pain points from sales calls
- Legal deposition automation – Summarizes legal proceedings for faster review
- Executive board meeting assistant – Automatically generates reports and key takeaways
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7. Virtual sales assistants & AI recommenders
AI recommenders analyze customer behavior and suggest the best-fit products, services, or financial packages in real-time.
What AI can do for you:
- Personalized product recommendations based on past customer interactions
- Generates tailored sales pitches and marketing materials
- Transcribes meetings and automatically generates summaries
Example use cases:
- Banking AI recommenders – Suggests credit cards, loans, or financial products based on customer needs
- AI-driven sales content generation – Creates personalized brochures & proposals on demand
- AI-powered in-store assistants – AI suggests complementary products based on customer behavior
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8. AI video & text processing
AI automates content categorization, video summarization, and paywall optimization.
What AI can do for you:
- Transcribe and summarize videos for faster content creation
- Auto-categorize articles based on taxonomy (IAB, IPTC, MAX classifications)
- Detect brand safety risks in content before publishing
Example use cases:
- AI-powered video summarization – Extracts key takeaways and generates short-form content
- Paywall optimization AI – Suggests which content should be free vs. premium
- Brand safety AI – Flags articles that could harm brand reputation
They trusted our expertise
From simple tasks to intelligent workflows
Why AI for business process automation?
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Traditional process automation focuses on structured, rule-based tasks
AI, Robotic Process Automation (RPA), and Business Process Automation (BPA) each play a role in creating efficient, intelligent workflows.
They all work together, resulting in intelligent automation of business processes:
- RPA automates repetitive, rule-based tasks to improve speed and accuracy
- BPA connects processes end to end across business systems
- AI enables intelligent decision-making and learning from past interactions
Combining these technologies creates a scalable, intelligent automation system.
We build effective AI AUTOMATION
Key components of AI process automation
Our featured AI business process automation projects
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AI Agent
AI assistant for customer service interactions
CLIENT: CREDIT AGRICOLE
- Message understanding: The system extracts key information from incoming messages and generates a summary containing the purpose and emotional tone. It helps eliminate human errors and ensures clear and uniform language
- Intelligent routing: Simple requests are handled automatically for faster resolution, freeing up agents for more complex and personal interactions. More complicated messages are passed to the right teams.
- Generating resources: The system creates customized draft replies and snippets. It can format them into PDFs for sending. It helps improve customer satisfaction scores, and meet service-level agreements.
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AI-based contract analysis
Legal GenAI tool for risk analysis and contract compliance
- Step-by-step contract processing: Upload contracts in formats like DOCX or PDF. The system organizes and categorizes them automatically for easier document management.
- Automated risk and compliance analysis: AI automatically extracts key information, generates a summary, and provides a detailed list of risks and recommendations based on the organization’s knowledge base.
- Legal chatbot assistance: Ask questions about specific sections or compliance issues through an AI chatbot. It provides precise, context-aware answers based on the fine-tuned model and knowledge base.
We build safe, compliant, and ethical AI systems
Security & ethics in AI
Federated learning models
We train AI across distributed datasets without raw data exchange.
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 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
AI process automation company
Advanced LLM architecture
Industry standards compliance
Domain expertise
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.
FAQ AI & Intelligent automation in business processes
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Is Robotic Process Automation AI?
Robotic Process Automation (RPA) and AI are often mentioned together, but they are not the same. RPA automates repetitive, rule-based tasks, like data entry or form processing. It follows predefined rules and doesn’t learn from data. AI, on the other hand, enables machines to analyze, adapt, and make decisions, making automation more intelligent.
When combined, AI and RPA create intelligent automation. AI enhances RPA by handling complex processes, understanding unstructured data, and improving decision-making. Business Process Automation (BPA) ties them together, ensuring smooth workflow automation across different systems.
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How does AI automate business processes?
AI automates business processes by analyzing data, learning patterns, and making decisions. Unlike rule-based automation, AI adapts to new information, processes unstructured data, and optimizes workflows in real time. It enhances areas like document processing, customer interactions, fraud detection, and predictive maintenance.
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How does AI help in the automation process?
AI improves automation by handling complex tasks that require reasoning and pattern recognition. It enables chatbots to understand customer inquiries, extracts insights from financial reports, and predicts supply chain disruptions. AI makes automation smarter, reducing the need for human intervention in decision-making.
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How can AI be used to automate business?
Businesses use AI to reduce manual effort, improve accuracy, and speed up processes. AI can:
- Analyze and extract data from documents (e.g., contracts, invoices)
- Automate customer support with AI chatbots
- Predict market trends and optimize business strategies
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Can you use Intelligent Automation and RPA together?
Yes. RPA executes repetitive tasks, while AI-powered Intelligent Automation enhances it by analyzing data, understanding context, and making decisions. Together, they create a scalable, end-to-end automation system.
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What are some applications of Intelligent Automation?
Intelligent Automation is used across industries for:
- Customer service automation – AI chatbots and virtual assistants
- Finance & compliance – AI-powered contract analysis, fraud detection
- Healthcare – AI-assisted diagnostics and patient data processing
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What departments can benefit from Intelligent Automation?
- Finance & Accounting – AI-driven invoice processing and fraud detection
- Customer Support – Chatbots that handle FAQs and ticketing
- HR & Recruitment – Automated resume screening and interview scheduling, automated onboarding
- IT & Operations – AI-powered monitoring and workflow optimization
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Why choose Deviniti for AI process automation?
At Deviniti, we we provide Generative AI development services. What’s more, we specialize in AI-powered business process automation that goes beyond simple task automation. Our expertise covers AI-driven workflow optimization, intelligent automation, and RPA integration. We have also implemented live projects.