Get an objective overview of your organization’s readiness for AI and turn it into a detailed implementation action plan. Yalantis provides AI consulting services to help you identify high-impact AI use cases and rank them by expected business impact. Let’s build a strategic advantage before your competitors do.
Artificial Intelligence Consulting Services
Real products. Real results.
Challenges our AI consulting services help you solve
Unclear starting point for AI
Many AI initiatives stall because nobody has mapped use cases to measurable outcomes. We assess your operations, shortlist AI opportunities with the highest expected returns, and define what a successful pilot should prove.
Data that isn’t ready for AI
Scattered sources and inconsistent formats undermine even the best algorithms. Our consultants evaluate your readiness for AI, close gaps in data governance, and prepare a foundation your future models can rely on.
Pilots that never scale
A demo that works in isolation rarely survives contact with real workflows. We design pilots with production in mind so you can adopt and scale AI across departments, rather than collecting abandoned experiments.
Disconnected legacy systems
AI integration consulting bridges new models with your ERPs, CRMs, and legacy databases. You get AI embedded into core operations rather than another siloed tool.
Compliance and model risk
Biased output or mishandled data can cost more than an AI project saves. We help you implement AI responsibly, with risk assessment and transparency requirements built into the roadmap from day one.
Missing in-house expertise
Hiring AI talent takes months that your competitors won’t wait for. Our AI consulting experts fill the gap, from strategy workshops to hands-on model delivery, and transfer knowledge to your team along the way.
AI consulting services Yalantis provides
Data strategy and architecture evaluation
Before any model gets built, your data has to support it. We audit your data landscape, often together with our data engineering services, and show exactly what stands between you and reliable value from AI.
- Assessing your existing data strategy, infrastructure, and architecture for AI readiness
- Evaluating data quality and data management practices
- Identifying gaps in data collection, storage, and governance
- Outlining recommendations on closing those gaps
- Preparing an AI adoption roadmap with optimal business value
AI implementation roadmapping
AI implementation consulting turns scattered ideas into a sequenced plan. You get a clear AI roadmap that defines what to build first, what it costs, and what business outcome each step delivers.
- Assessing current data capabilities and needs
- Identifying the AI use cases with the highest business value
- Developing or evaluating an AI strategy based on your business goals
- Selecting the best use case for a pilot project or proof of concept
- Preparing a detailed roadmap for implementing AI solutions
AI/ML solution feasibility study
Our AI/ML consulting services include a structured feasibility study that answers one question: “Will this project pay off?” We compare what the solution requires against what you already have and put a number on the expected return.
- Assessing business requirements and existing infrastructure
- Identifying the resources required for AI implementation
- Comparing resource requirements against available resources
- Evaluating the viability and potential benefits of AI/ML projects
- Calculating the expected ROI for your AI project
AI solution design and development
AI development consulting covers the buy vs build decision and everything after it. Our engineers design scalable AI solutions that fit your infrastructure instead of forcing your infrastructure to fit them.
- Translating business needs into technical and non-technical requirements
- Conducting buy vs build analysis
- Identifying the best-suited off-the-shelf AI tools for your use cases
- Integrating and customizing off-the-shelf AI technologies
- Selecting the appropriate technology stack for custom AI solutions
- Building, validating, and implementing AI solutions
ML-powered module development
When a full platform is too much, and an off-the-shelf tool is too little, a custom module built on AI and machine learning fills the gap. We bring machine learning development capabilities into the products you already have in place.
- Identifying the most suitable machine learning algorithms
- Assessing available data sources for training ML models
- Gathering and cleaning data for ML development
- Building, training, validating, and integrating custom ML models
Generative AI consulting
Yalantis is a generative AI consulting company that helps organizations identify high-value use cases and avoid costly experiments, from AI agents for customer support to internal copilots. For full-cycle delivery, explore our generative AI software development services.
- Identifying the use cases where generative AI consulting services produce measurable returns
- Selecting and evaluating foundation models and AI platforms for your needs
- Designing agentic AI workflows and AI agent architectures
- Building proprietary AI assistants grounded in your internal data
- Setting guardrails for trusted AI output, including hallucination and bias controls
Explore our cases
De-risk your AI transformation with Yalantis’ experience
Maximize your organization’s AI readiness and mitigate risks with a solid AI strategy developed by AI experts.
AI/ML solutions Yalantis provides
AI-driven forecasting
Predict customer behavior, supply and demand, and market conditions with predictive analytics powered by supervised, unsupervised, or autoregressive machine learning models. Ensure predictive insights’ reliability and accuracy with AI technology consulting and data quality assessments.
AI content analysis
Harness the value of unstructured data with AI-powered computer vision, natural language processing, sentiment analysis, data classification, and more. Identify the highest-ROI data sources and their use cases with expertise-driven AI consulting services.
Portfolio optimization
Resolve the combinatorial optimization problem with self-improving algorithms optimized for high performance. Identify the right approach for overcoming optimization challenges, from simulated annealing to reinforcement learning agents.
Customer segmentation
Gain a unified view of your customer data and define the most valuable analytics use cases with our AI consultancy services. Apply predictive analytics for targeted marketing and new feature deployment based on customer behavior and trend forecasting.
Fraud detection
Minimize the risk of undetected fraud with ML-powered fraud detection and prevention systems. Address the most pressing issues like transaction fraud, identity theft, and account takeover with the right AI-powered solution identified by our AI consulting team.
Data mining
Select the right data mining technique, such as association or regression analysis, to power smarter decision-making and improve data analytics reliability. Unify your data in a single source of truth with guidance from our artificial intelligence consultants.
Our AI Consulting process
Discovery
We define the business problems you want AI to solve and identify specific, attainable objectives. A short AI workshop with your stakeholders aligns expectations before any technical work starts.
Readiness assessment
Our consultants evaluate your data infrastructure and overall AI maturity. You get an honest picture of what is ready and what needs work before any model enters the picture.
Roadmapping
We sequence use cases into an AI roadmap ranked by expected business impact and implementation effort. The roadmap aligns AI initiatives with your budget cycle and team capacity.
Feasibility study and proof of concept
Before you commit the full budget, we validate the riskiest assumptions with a feasibility study or a small proof of concept. A quick win here builds the business case for everything that follows.
Implementation
Per your request, our engineers deploy AI solutions and integrate them with your existing systems. Enterprise-grade AI means production monitoring and security from day one, not just a working model.
Support and scaling
We help you sustain AI performance with model monitoring and retraining. Managed services keep your solutions accurate as your data and business evolve.
Turn AI capabilities into your secret competitive advantage
Identify AI use cases with the highest ROI across the enterprise and ensure smooth AI implementation with an experienced artificial intelligence consulting company.
Our AI-powered product development lifecycle
Yalantis built an internal AI PDLC that embeds AI into every delivery stage, from the first presale call to post-launch maintenance. The same framework that speeds up our own engineering is what your AI initiative runs on. Here is where AI does the work at each stage.
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1.
Engagement and presale
AI research tools study comparable solutions and validate early architecture, so scoping starts from real benchmarks instead of guesswork.
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2.
Discovery
Transcription and data-profiling tools turn workshops into validated requirements faster, while a tuned internal model pressure-tests the proposed architecture.
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3.
Development
Engineers pair with AI copilots on repetitive code and AI-generated tests, staying focused on architecture and edge cases.
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4.
Deployment and scaling
AI monitors performance and flags anomalies under real load, then speeds up root-cause analysis when incidents hit.
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5.
Maintenance
AI detects model drift early and triggers retraining, so accuracy holds as usage patterns change.
What our clients say
The results our artificial intelligence consulting services can deliver
Increased employee productivity
Track and improve employee performance, remove time wasters with intelligent automation, and optimize task allocation to enhance productivity and reduce labor costs.
More effective problem-solving
Easily identify root causes of business disruptions, operational inefficiencies, or negative customer feedback with AI solutions that easily handle multidimensional issues and predictions.
Improved cybersecurity
Protect your sensitive data and software systems with accelerated security risk discovery, effective cyber threat prevention, and automated incident response.
New revenue streams
Adopt a new business model or capture a new monetization opportunity with artificial intelligence consulting services that identify the most lucrative revenue streams.
Enhanced customer experiences
Bridge the gap between your services and your customers’ needs and expectations with personalization at scale, AI-augmented customer support, and 360-degree customer analytics.
Facilitated recruitment
Reduce recruitment costs while ensuring the best fit for every job with AI-powered candidate screening and analysis, onboarding, and equitable pay calculation.
Building a regulated device? We design to ISO 13485
Get compliant mechanical design and documentation from one engineering team.
lending
Compliance & Certifications
ISO 9001 ISO 27001 ISO 27701 ISO 13485
IEC 62304
TISAX
AWS certification and partnership
EU AI Act
HIPAA
GDPR
PCI DSS
GxP
FDA 21 CFR Part 11
EU Annex 11
HL7/FHIR
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FAQ
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What can I expect from AI consulting with Yalantis?
At the start of our collaboration, we align on your expectations and the business outcomes you want. Depending on what you need, the engagement can include an AI strategy review, a data infrastructure and readiness assessment, an implementation roadmap, a feasibility study, or hands-on technology selection. You stay in control of the scope at every step.
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What does the AI consulting process look like?
Our process moves through six stages: discovery, readiness assessment, roadmapping, a feasibility study or proof of concept, implementation, and ongoing support. Each stage produces a concrete deliverable, from a prioritized use case list to a production-ready solution. You decide after every stage whether to continue, so there is no lock-in to a long engagement.
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What is AI integration consulting?
AI integration consulting services cover embedding AI models into the systems you already run, such as ERPs, CRMs, and legacy databases. The goal is AI that works inside your daily operations rather than next to them. We map your current architecture, then design and build the integration so that data flows cleanly and security holds.
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What is the difference between AI consulting and AI development?
Consulting decides what to build and whether it will pay off. Development is the building itself. Our AI/ML consulting services often transition into delivery through our AI development services, so you can keep one accountable team from strategy through production.
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How will you evaluate the AI readiness of my organization?
Our AI readiness assessment looks at your current data infrastructure and how well it aligns with your business priorities. We review your data governance and management practices alongside the security and privacy measures across your organization. We then identify gaps in data management and suggest practical ways to close them.
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What industries benefit the most from AI consulting?
Organizations in healthcare, manufacturing, logistics, and automotive tend to see the strongest returns from our AI services, since they run complex data infrastructures and carry high automation potential. Companies weighed down by legacy systems also benefit, because AI consulting helps them modernize without a full rebuild.
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Can you run a small AI proof of concept before full implementation?
Yes. We develop a small experimental solution that demonstrates the value AI can deliver to your business within weeks rather than quarters. Our expertise covers analytics tools, AI assistants, and generative AI systems. If you haven’t identified the use case for your pilot, we’ll help you select one that secures a quick win for your business case.
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How do you ensure AI compliance and data security?
Yalantis holds ISO 27001 and ISO 27701 certifications for information security and privacy management. Beyond certifications, we identify the regulatory requirements that apply to your project based on jurisdiction and industry, such as GDPR or HIPAA, and build compliance into the solution architecture rather than auditing it afterward. For sensitive work, our engineers run enterprise AI tools with Zero Data Retention or locally hosted models, so your data never enters public training pipelines.
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What is generative AI consulting?
Generative AI consulting services help you decide where large language models and other generative tools create real business value and where they do not. We evaluate use cases and select foundation models, then design agentic AI workflows with guardrails for output quality. When you are ready to build, our generative AI software development team takes over delivery.
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Can you help us define the ROI of implementing AI?
Yes. Based on your specific use cases, we estimate the resources an AI project needs and prepare a detailed breakdown of the expected investment. We then assess ROI against the productivity and revenue gains AI can unlock, plus the cost savings it brings. The result is a business case you can take to stakeholders for buy-in.
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What AI technologies and frameworks do you specialize in?
Our AI expertise spans natural language processing, generative AI, computer vision, deep learning, conversational AI, sentiment analysis, speech recognition, and ML analytics, including predictive analytics. On the framework side, we work with TensorFlow, PyTorch, Apache Spark, Snowflake, Amazon Redshift, Amazon QuickSight, and more. If you have a specific AI technology in mind, reach out, and we will share our experience with it.
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How do you handle AI bias and model transparency?
We identify bias risks based on the algorithms in use and how representative the training data is. From there, we prepare a clear breakdown of those risks and the specific measures that mitigate them. For transparency, we assess how explainable a model is and how well its governance and accountability hold up.
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