Supports leadership decisions
Reviews AI-related questions
Provides expert recommendations
AI consulting services
KPS provides AI consulting services to explain where artificial intelligence (AI) can support your business before you invest in AI implementation. If you see AI potential but are not sure which tools are realistic, useful, and worth your resources, we help you validate your vision. Our consultants assess your AI readiness to create a cost breakdown around your business priorities.
Benefits
See where AI can help your business, but not sure how to implement it? With artificial intelligence consulting services, you get a clear starting point
KPS consultants assess whether an AI idea makes business and technical sense, identify real use cases, and verify that your data and infrastructure are ready for AI. They assess risks, expected costs, possible returns, and priorities, then build a roadmap for AI implementation and integration with existing workflows.
AI priorities based on business value
Defines which AI use cases support business goals
Compares expected value, effort, and limits
Removes weak ideas before development starts
Data readiness for practical AI use
Checks whether your data supports AI use cases
Identifies gaps in quality, structure, and access
Shows what needs preparation before implementation
Roadmap for controlled implementation
Breaks AI adoption into realistic stages
Estimates budget, timeline, and required effort
Clarifies priorities, dependencies, and responsibilities
Risk control for AI adoption
Identifies risks around accuracy, privacy, and usage
Supports responsible AI decisions from the start
Reduces uncertainty before AI enters daily workflows
Integration clarity across existing systems
Reviews how AI can fit current tools and processes
Defines where integrations may be needed
Prevents isolated AI features that create extra work
Team alignment around AI decisions
Helps stakeholders understand AI options and limits
Clarifies roles for business, technical, and data teams
Supports shared decisions before development starts
Need artificial intelligence consultants to make your first AI decision?
KPS helps define what should be clarified before AI discussions turn into budgets, vendor searches, or development tasks.
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Our Services
Artificial intelligence consulting services KPS team delivers
We cover the strategic, technical, and operational work needed to prepare AI initiatives for your business use. The services below show where our consultants can support your company across AI strategy, data, architecture, governance, integration, and delivery planning.
01
AI use case discovery and prioritization
AI consultants and business analysts review business processes, team requests, and operational pain points to identify where AI can bring practical value. This helps your company focus on use cases that solve real problems instead of following general AI trends.
02
AI readiness assessment
Solution architects and data specialists assess whether your current systems, data, infrastructure, and internal processes can support AI implementation. This helps reveal what should be improved before the project moves into development.
03
AI strategy consulting
AI consultants help define how AI should support business goals, internal workflows, and product or operational priorities. This gives your leadership team a clearer basis for decisions about scope, investment, and delivery sequence.
04
AI roadmap planning
Consultants structure AI adoption into stages, dependencies, responsibilities, and expected effort. This helps your team understand which initiatives should start first, which ones need preparation, and how AI work can fit into broader business planning.
05
Data and infrastructure consulting
Data specialists review how data is collected, stored, accessed, and prepared across your business systems. This helps define whether your data environment can support AI models, automation, analytics, or decision-support tools.
06
AI solution architecture consulting
Solution architects design the technical structure for future AI solutions, including system connections, data flows, model usage, APIs, and integration points. This gives your team a clear technical base before development starts.
07
AI governance and risk consulting
AI consultants help define how AI should be used, monitored, and controlled inside your company. This includes accuracy risks, privacy requirements, human oversight, access rules, and responsible use principles.
08
AI integration consulting
Technical consultants assess how AI can fit into your existing software, workflows, and business tools. This helps avoid isolated AI features and supports solutions that work inside real daily operations.
Technology Stack
Technology stack supported by our AI consulting company
KPS works with proven technologies for AI infrastructure, model selection, data preparation, integration, security, and AI monitoring. The stack below shows the tools we can assess, recommend, and structure for your AI project needs.
Foundation models and LLMs
LLMs and model providers: OpenAI GPT, Claude, Gemini, Llama, Mistral, Cohere
Enterprise AI platforms: IBM WatsonX, Azure OpenAI Service, Amazon Bedrock, Google Vertex AI
Model use cases: text generation, summarization, classification, search, question answeringGenerative AI frameworks and orchestration
AI frameworks: LangChain, LlamaIndex, Semantic Kernel
Agent and workflow logic: LangGraph, CrewAI, AutoGen
Prompt management: PromptLayer, LangSmith, HumanloopMachine learning and data science
Programming languages: Python, R
ML frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM
Development environments: Jupyter Notebook, Google Colab, Databricks, IBM watsonx.aiData platforms and storage
Cloud data platforms: Snowflake, Databricks, BigQuery, Amazon Redshift, Azure Synapse
Databases: PostgreSQL, MySQL, MongoDB, Microsoft SQL Server
Data processing: Apache Spark, Kafka, Airflow, dbtVector databases and retrieval systems
Vector databases: Pinecone, Weaviate, Milvus, Chroma, Qdrant
Search systems: Elasticsearch, OpenSearch, Azure AI Search
RAG components: embeddings, document chunking, retrieval pipelines, knowledge basesCloud AI infrastructure
Cloud platforms: AWS, Microsoft Azure, Google Cloud Platform
AI and ML services: Amazon SageMaker, Azure Machine Learning, Google Vertex AI
Containerization and deployment: Docker, Kubernetes, TerraformAI governance, security, and compliance
Governance platforms: IBM WatsonX.governance, Microsoft Purview, OneTrust, Collibra
Security controls: role-based access control, encryption, audit logs, data masking
Compliance considerations: GDPR-aware data handling, SOC 2 readiness, industry-specific requirementsMonitoring and AI quality control
Model monitoring: Arize AI, Fiddler AI, WhyLabs, Evidently AI
Application monitoring: Datadog, Prometheus, Grafana, New Relic
Quality checks: hallucination testing, bias checks, output validation, human review workflows
Related Services
Additional services KPS provides to support AI consultancy
AI application development
Generative AI development
Data engineering services
Machine learning development
Cloud and DevOps services
Software modernization services
Engagement Models
Work formats offered by KPS
AI consulting can be structured in different ways depending on scope, decision stage, and the level of technical involvement your company needs. KPS offers three main engagement models:
Advisory consulting
Consulting team extension
Joins internal planning work
Supports product and tech teams
Clarifies requirements and risks
Managed AI consulting
Covers defined consulting scope
Manages analysis and planning
Prepares delivery documentation
Our Process
How our AI consulting agency turns AI vision into roadmap
AI consulting works best when every step reduces a specific risk: wrong use case, weak data, unclear ownership, poor integration, or unrealistic delivery scope. KPS structures the process so your business and technical stakeholders know what is being checked, who is involved, and what decision to make next.
STEP 1:
Business context review
Business analysts and AI consultants discuss your goals and vision with business owners, product stakeholders, and technical leads. They review where AI needs come from, which teams are involved, and what business problem should be addressed first.
STEP 2:
Use case evaluation
AI consultants and domain specialists assess proposed AI ideas against business value, complexity, available data, and operational impact. This step helps separate useful initiatives from ideas that are too vague, risky, or expensive to start with.
STEP 3:
Data and system check
Data specialists and solution architects review your data sources, integrations, infrastructure, and access rules. They identify what is ready, what needs preparation, and what may block AI implementation later.
STEP 4:
Solution direction
Solution architects and AI consultants define how the selected AI use case can work inside your existing environment. They outline the needed components, integration points, model approach, security considerations, and expected technical effort.
STEP 5:
Roadmap and requirements
Business analysts, solution architects, and delivery managers prepare the roadmap, scope, priorities, and requirements for the next stage. This gives your team a clear basis for budget discussions, internal approval, or future development.
STEP 6:
Handover and next steps
Delivery managers and technical leads walk your stakeholders through the findings, recommendations, risks, and implementation options. After this step, your team understands what can move forward, what should wait, and what support is needed next.
STEP 1:
Business context review
Business analysts and AI consultants discuss your goals and vision with business owners, product stakeholders, and technical leads. They review where AI needs come from, which teams are involved, and what business problem should be addressed first.
STEP 2:
Use case evaluation
AI consultants and domain specialists assess proposed AI ideas against business value, complexity, available data, and operational impact. This step helps separate useful initiatives from ideas that are too vague, risky, or expensive to start with.
STEP 3:
Data and system check
Data specialists and solution architects review your data sources, integrations, infrastructure, and access rules. They identify what is ready, what needs preparation, and what may block AI implementation later.
STEP 4:
Solution direction
Solution architects and AI consultants define how the selected AI use case can work inside your existing environment. They outline the needed components, integration points, model approach, security considerations, and expected technical effort.
STEP 5:
Roadmap and requirements
Business analysts, solution architects, and delivery managers prepare the roadmap, scope, priorities, and requirements for the next stage. This gives your team a clear basis for budget discussions, internal approval, or future development.
STEP 6:
Handover and next steps
Delivery managers and technical leads walk your stakeholders through the findings, recommendations, risks, and implementation options. After this step, your team understands what can move forward, what should wait, and what support is needed next.
Clients' feedback
What clients say about working with KPS
Feedback from clients reflects how much they value clear use case validation, realistic estimates, roadmap planning, and honest assessment of risks, data readiness, and implementation effort during AI consulting.
Naomi Rubinstein
Founder at BettercareThey are the best team we have ever worked with. The application increased the speed of receiving data by 4 times. Data loss was reduced by 10%. Ineffective tasks decreased by 7%. Response rate to customer requests increased by 23%. Our customers have seen significant increases in efficiency.
Aleksandr Podolyan
Technical Specialist & Product Manager., RDO UkraineKultprosvet has executed deliverables perfectly and provided us with a high-quality application. They’ve fulfilled our requirements, and the product perfectly fits our needs. The team’s development efforts have helped our business immensely.
Oleksandr Zainchukivskyi
Head of Technology, AMACOWe've had a very good experience with them. We trust them, and we'll continue to work with them. If we ever need something done, they always deliver.
Luc Lecorre
Luc Lecorre, Co-Investor, Luxury Handbag CompanyKultprosvet was highly knowledgeable, and they made us aware of some issues we hadn’t considered. They explained everything very clearly and helped us understand the broader scope of the work.
Yulia Goldenberg
PhD Researcher, Ben Gurion University of the NegevThe work is always delivered on time, and they are very fair about the pricing. Kultprosvet is transparent, and we know that we can trust them; we are never surprised by anything that comes up.
Cameron Tope
Founder, Rooya (Polysurance)Since working with Kultprosvet, our customers are much happier with the product and its UX. They’ve added flexibility where the system was previously rigid, and they take full responsibility for the project, quickly fixing any issues that arise.
Naomi Rubinstein
Founder at BettercareThey are the best team we have ever worked with. The application increased the speed of receiving data by 4 times. Data loss was reduced by 10%. Ineffective tasks decreased by 7%. Response rate to customer requests increased by 23%. Our customers have seen significant increases in efficiency.
Aleksandr Podolyan
Technical Specialist & Product Manager., RDO UkraineKultprosvet has executed deliverables perfectly and provided us with a high-quality application. They’ve fulfilled our requirements, and the product perfectly fits our needs. The team’s development efforts have helped our business immensely.
Oleksandr Zainchukivskyi
Head of Technology, AMACOWe've had a very good experience with them. We trust them, and we'll continue to work with them. If we ever need something done, they always deliver.
Luc Lecorre
Luc Lecorre, Co-Investor, Luxury Handbag CompanyKultprosvet was highly knowledgeable, and they made us aware of some issues we hadn’t considered. They explained everything very clearly and helped us understand the broader scope of the work.
Yulia Goldenberg
PhD Researcher, Ben Gurion University of the NegevThe work is always delivered on time, and they are very fair about the pricing. Kultprosvet is transparent, and we know that we can trust them; we are never surprised by anything that comes up.
Cameron Tope
Founder, Rooya (Polysurance)OUR TEAM
Want to know who you’ll work with?
Contact our client support team, which will provide you with a technical evaluation of your needs and give you details on the collaboration resources you will need.
Anton Trakht
CEO at Kultprosvet
Mykola Aleksandrov
Account Executive
We are ready to review your requirements and propose a practical next step.
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Help
Since working with Kultprosvet, our customers are much happier with the product and its UX. They’ve added flexibility where the system was previously rigid, and they take full responsibility for the project, quickly fixing any issues that arise.