AI agent development services: Intelligence in action
Smarter decisions, seamless automation, and hyper-personalized experiences — welcome to the era of AI agents.
The mission? Redefine how your business operates. The ally? Vention. With 20+ years of expertise, our goal for custom AI agent development is simple: engineering peace of mind so you can focus on scaling, winning more customers, and staying ahead of the curve while we take care of the tech.
It’s high time to gain momentum
Wondering if AI agents are worth the hype? Let’s look at Gartner’s projections:
2024: Less than one percent of enterprise software applications include agentic AI.
2028: That figure skyrockets to 33 percent, with 15 percent of day-to-day work decisions made autonomously.
Still debating? Don’t. With Vention, you’re not just adopting AI agents — you’re pioneering them. Be among the first to take the driver’s seat in innovation.
What types of AI agents can power your business?
AI agents come in many forms: There’s an AI agent designed to fit any task and business type.
Let’s dive into the key classifications to find the perfect match for your goals.
By human involvement
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Copilots: AI tools that enhance users’ productivity, providing suggestions and recommendations but leaving the final decision in human hands.
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Autonomous: AI systems that operate independently, making decisions and taking actions without human intervention.
By task
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Automation agents: Designed to take over routine or repetitive tasks, increase efficiency, and free up human resources for more strategic work.
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Decision-making agents: Focused on supporting or automating decisions.
By number of agents
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Single-agent system: A standalone agent designed to perform a specific task independently.
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Multi-agent systems: A coordinated group of agents that either share tasks (the peer-to-peer model) or work in hierarchical roles (the leader-follower model).
By target audience
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Customer-facing: Designed to engage with customers directly, improving their experience, satisfaction, and retention.
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Employee-facing: A part of enterprise AI built to assist internal teams in performing their roles efficiently, often by automating workflows or providing insights.
The core of intelligence: AI agent’s modules
You won’t find a one-size-fits-all solution here — because no single AI agent can do it all. What you will find is a breakdown of the core components and an example of how they work together.
By understanding these building blocks, you’ll be better equipped to pinpoint exactly what your unique case requires.
Perception module: The agent’s “eyes” and “ears”
The perception module is your AI agent’s sensory system, helping it recognize the requests coming from users or the environment. Whether it’s capturing text, voice, images, or IoT data, this module ensures the agent is always listening, watching, and ready to respond.
To achieve this, the perception module leverages cutting-edge technologies like:
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Natural language processing (NLP): To interpret text and spoken language.
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Computer vision: To “see” and analyze images or videos.
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Big data: To process and understand vast amounts of structured and unstructured information.
Decision-making module: The “brain” of your AI agent
The decision-making module is where the real magic happens — planning, reasoning, and problem-solving. This is the agent’s ability to:
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Break tasks into actionable steps
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Evaluate multiple strategies and proceed with the most effective one
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Fetch preexisting plans or knowledge from its memory and improve them dynamically based on the current context.
Knowledge base: The vault of wisdom
The knowledge base is the AI agent’s repository with data, rules, and insights that serve as the foundation for decision-making. It’s designed to handle both static and dynamic information:
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Static knowledge: Predefined, unchanging information like FAQs, ontologies, or domain-specific rules.
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Dynamic knowledge: Continuously updated information based on user interactions, system integrations, or external data feeds, which keeps the agent responsive to real-time changes.
Memory module: The knowledge bank
Memory is the backbone of the agent’s ability to retain information and use it for solving new tasks more effectively:
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Short-term memory: Provides the context for current tasks, allowing the agent to track and respond to ongoing interactions or activities.
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Long-term memory: A treasure trove of historical data and insights from previous experiences.
Tool selection module: The toolkit manager
During the planning phase, the agent determines which tools are needed to complete a task efficiently. These might include:
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Retrieving data from a database.
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Searching the web for up-to-date information.
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Communicating with another agent in a multi-agent system.
Action module: The response engine
This is where plans turn into action. The action module empowers the agent to interact with its environment in a variety of ways:
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Simple commands: for robotic systems or IoT devices.
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Data updates: through APIs or other systems.
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Text responses: from chatbots or virtual assistants.
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Automated communication: emails, SMS messages, or push notifications.
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Complex processes like autonomous driving decisions or robotic navigation.
Learning module: The evolution engine
At the heart of every AI agent is its ability to learn, adapt, and improve over time. The learning module ensures the agent evolves by leveraging different approaches, including:
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Supervised learning: Using labeled datasets (input-output pairs) to train the agent for accurate predictions on new data.
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Unsupervised learning: The agent explores unlabeled data to uncover hidden patterns and relationships.
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Reinforcement learning: It’s trial-and-error learning, where the agent gets rewards or penalties based on the success of its interactions with the environment.
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Deep learning: This method relies on the layers of artificial neurons that progressively process and transform data, learning to recognize patterns and relationships by breaking down complex inputs (like images, speech, or text) into smaller, abstract features, layer by layer.
Worried about the agent’s decision-making power?
There’s no need to be. While AI hallucinations are a recognized limitation, they don’t diminish AI agents' value to your business. We employ robust measures to mitigate these effects, including relying on high-quality data sets, integrating cross-check mechanisms, and training the agent to handle uncertainty.
For added peace of mind, you can always include minimal human oversight for critical tasks.
With the right safeguards in place, AI agents empower you with reliable, scalable intelligence — with minimal risks.”
Alexandr Yakovlev
Director of engineering at Vention
Use cases: A teaser of the new possibilities AI agents unlock for you
AI agents are valuable facilitators across industries — healthtech, fintech, retail, hospitality, manufacturing, and education — and are already reaping the benefits of these cutting-edge solutions. Vention can bring the same innovation to your domain.
Financial portfolio management
Imagine an AI-powered agent spotting a tech stock dip and linking it to breaking news on regulations. With your low-risk preferences in mind, it suggests shifting 20 percent of your portfolio into reliable, dividend-paying healthcare stocks.
You receive a quick notification with the suggestion, and upon approval, the agent executes the change. Afterward, it tracks market performance, learns from your consistent approval of such moves, and refines its future recommendations.
Drawing on past market rebounds, the agent also monitors when it might be smart to reinvest in tech.
Customer support automation
How satisfied would your clients feel if they truly believed you understood their needs, felt heard, and had their requests handled instantly? With AI agents, this level of service is no longer a dream. Available 24/7, these intelligent tools cater to customers across time zones and communicate fluently in your audience’s preferred languages.
Integrated with your CRM, AI agents access essential customer data to ensure personalized messaging.
When integrated with an inventory management system, they have all the info about orders, dates, deliveries, and details in their virtual hands. And with large language models (LLMs) at the core, their communication skills go far beyond standard chatbots, enabling natural and context-aware conversations.
Personalization engine
From products and movies to marketing emails and learning paths, AI’s personalization power knows no bounds. Imagine AI analyzing a mix of relevant data — such as user interactions, browsing habits, and purchase history — to deliver experiences tailored just for you (or your audience).
These smart agents don’t stop at recommendations; they can craft hyper-targeted email campaigns ready for your approval or fine-tune training exercises to help users master a topic more effectively.
Predictive maintenance
A classic AI use case involves analyzing real-time and historical data — such as temperature, vibration, and operational patterns — to spot anomalies and predict issues.
So, what’s the game-changer with AI agents? Their ability to take action. Think automated workflows that schedule maintenance or order repair parts — all without waiting for human intervention.
Our AI agent development services
Need to build a custom AI-powered agent from scratch or integrate the AI agent’s capabilities in your existing product to gain a competitive edge? We’ll be there for you.
Consulting
Get the strategic guidance and professional advice you need to secure your AI agent’s fast launch and seamless performance.
Whether it’s about defining the agent’s type and best-fitting use cases, underlying AI algorithms and approaches to their training, or infrastructure-related questions — our AI consulting pros will support you at any stage of your development process.
You can start with our AI workshops to clearly understand how agents can boost your efficiency and map a step-by-step implementation plan.
Custom development
Reimagine efficiency with an AI agent designed to align perfectly with your goals and ecosystem. Built for stellar accuracy and capable of handling even the most challenging tasks, every component — from perception to action and beyond — is crafted with precision to meet your needs.
Our expertise spans every domain your AI agent may require, including computer vision, text and speech recognition, IoT, and text-to-speech.
Integration
Ensure cross-functionality, scalability, and real-time data access for your AI agents, all while delivering enhanced user experience. We’ll take care of everything you need to make it happen, setting up integrations with any system you require, be it internal or third-party: CRM, EHR, ERP, search engine, and cloud platform — you name it. No limits, no bottlenecks — just seamless functionality.
Support and evolution
Keep workflows smooth and output accurate while exceeding user expectations.
Upon your request, we stay by your side to monitor, improve, and evolve your AI agent. From retraining models and adding new integrations to implementing monitoring solutions, we’ll ensure your agent stays ahead of the curve.
With Vention’s AI agent software development comes your peace of mind
Our custom solutions and services have helped our clients achieve success in remarkable ways, such as:
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90 percent reduction in workload, 30 percent faster client onboarding, and a 65 percent increase in conversions.
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Automating claim management to better manage 8,000+ vehicles.
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Becoming the first unicorn of the decade with a $1B valuation.
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Expanding a local supply network from 40 to an incredible 1,500 partners.
We’re excited to see what your success story will look like — let’s create it together!
What our clients say about us
They have done multiple projects around AI, ML and VR spaces. We worked on leading-edge voice agent technology.
They recently built an AI agent with Ph.D.-level research and development skills; the result was a breakthrough for that industry. We’ve generated several recommendation engines for products in the VR space and are near selling a start-up built with Vention resources.”
Paul Steckler
Founder & Senior Partner, Ramp Catalyst
What our clients say about us
Vention has played a critical part in the development effort that’s complemented our internal resources.
They’ve been involved in both the ideation and development of features and functionalities, which involve aggregating customer information and unique data. With our team, they’ve helped develop algorithms that help predict value for our customers’ assets, while at the same time creating the aggregation technology and machine learning to discern value very quickly.”
Christopher Vroom
Founder, CollectorIQ, Inc.
What our clients say about us
We develop and distribute artificial intelligence (AI) software to extract actionable intelligence for brands, and to detect abuse on the internet.
Despite our very niche and specialized application domain, the developer assigned to us has been doing a great job understanding our needs and developing a quality product.”
Vadim Berman
CEO, Tisane Labs
What our clients say about us
The model we chose is team extension, developers joining the core engineering team.
We're happy with those additions to the team. The level of expertise of the developers they let me interview is impressive. And the ones we eventually hired.
Lior Harel
CTO, Staircase AI
Technical background behind AI-powered agents
Natural language processing
NLTK
spaCy
Transformers (by Hugging Face)
Gensim
large language models (LLMs)
AI/ML
Programming languages: Python, R, C++
ML & AI frameworks: TensorFlow, PyTorch, scikit-learn
Keras, XGBoost, LightGBM
Computer vision
OpenCV
Detectron2
YOLO
Mask R-CNN
Generative AI technologies
OpenAI GPT
DALL-E
Stable Diffusion
Midjourney
Cloud services
Amazon SageMaker
Azure Machine Learning
Google AI Platform
Google Cloud AutoML
Big data
AWS: Amazon EMR, AWS Lambda, Amazon S3, AWS Glue, Amazon Kinesis, Amazon DynamoDB, Amazon Redshift, Amazon QuickSight
Microsoft: Azure HDInsight, Azure Data Lake Storage, Azure Data Factory, Azure Cosmos DB, Azure SQL Database
Google: BigQuery, Dataproc, Dataflow, Cloud Storage
Integration services to ensure a smooth flow
AI agent integration isn’t a simple plug-and-play process — it’s about carefully curating the right connections to fit your AI agent’s role and purpose. At Vention, we ensure every integration works seamlessly to create a unified and efficient system tailored to your needs.
Here are some of the most popular integration choices:
Internal
- CRM
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EHR
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ERP
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HR tools
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Learning management system
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Security and monitoring software
External
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Search engines
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Social media platforms
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Communication channels
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Cloud platforms
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Payment gateways
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Third-party APIs
FAQ
What’s the ROI of AI agent implementation?
Implementing AI agents involves upfront investments in infrastructure, tools, and expertise. However, the returns often outweigh the costs over time. Businesses see ROI through significant efficiency gains, reduced operational costs, and improved customer satisfaction. AI agents excel at automating repetitive tasks, streamlining workflows, and delivering personalized experiences, all of which contribute to measurable growth and profitability.
We’re excited about the game-changing potential of AI agents — but we’re concerned that some users might still be hesitant to jump on board. What’s your experience?
In our projects, we’ve seen that even cautious users quickly recognize AI agents' value and convenience.
And you’re not starting from scratch. Salesforce 2024 stats show the tide is already turning:
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1 in 3 consumers prefer buying products via automation (including AI agents) over interacting with a person.
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39 percent of consumers are comfortable when AI agents schedule appointments.
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24 percent are already comfortable with AI agents shopping for them.
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37 percent trust AI agents to create personalized, helpful content.
So, adoption is happening — but you can speed it up with thoughtful strategies like:
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User support: Offer guides, FAQs, and live assistance to ease the transition.
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Workshops: Educate users on the benefits and make them confident in using AI agents.
Should there be any ethical concerns?
Absolutely. During AI agent design and implementation, ethics must take center stage. Without proper safeguards, an AI agent tasked to boost revenue in the insurance industry could intentionally discriminate against users who are more likely to file insurance claims.
To prevent unethical behavior, we ensure AI agents are built on a foundation of ethical principles, which includes training them using high-quality, unbiased data and conducting regular audits of decision-making algorithms. These practices help maintain fairness, transparency, and trust in every interaction.
How do you handle data privacy and security when developing AI agents?
As an ISO 27001-certified AI agent development company, security isn’t just a box we check — it’s embedded in everything we do. AI agent development is no exception. We encrypt sensitive data, enforce strict access controls, shield AI models from adversarial attacks or tampering, and maintain rigorous data audits.