Generative AI consulting services
Get technical expertise in deploying LLMs, building AI Agents, and implementing self-hosted Generative AI solutions. We help you identify the most impactful GenAI use cases and integrate them into your business.
How we guide your Generative AI journey
Our process for Generative AI consulting
Every GenAI project is unique, and so is our approach to Generative AI consulting. There’s no one-size-fits-all playbook – our goal is to provide the insights and solutions you need at each stage of GenAI adoption.
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1. Initial consultation and discovery
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2. Use case identification and prioritization
We work with your team to pinpoint high-impact use cases that align with your strategic goals.
This stage focuses on:
- Shortlisting areas where Generative AI can deliver measurable improvements
- Assessing feasibility, implementation complexity, and expected ROI
- Prioritizing tasks and defining success metrics to guide the consulting process
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3. Strategy development and roadmap creation
We create a tailored strategy and roadmap for integrating Generative AI into your business.
This stage includes:
- Defining the technical and organizational steps required for successful adoption
- Outlining timelines, resources, and potential risks for implementation
- Ensuring alignment with regulatory and security requirements
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4. Results validation and continuous improvement
We help you measure the impact of implemented solutions and refine the strategy as needed.
This process includes:
- Setting up KPIs and tracking tools to monitor AI performance
- Gathering feedback from users to identify areas for enhancement
- Recommending iterative improvements for long-term success
Key roles
Meet the Gen AI team leaders
Our core Generative AI consulting team
Strategic expertise
- AI business analysts align AI capabilities with your goals and provide actionable strategies.
- AI architects design scalable, efficient infrastructures for seamless AI integration.
- We ensure your AI systems meet business objectives and operational needs.
Technical expertise
- LLM engineers fine-tune and optimize models for domain-specific tasks.
- NLP engineers build advanced language models for sentiment analysis and communication.
- We ensure AI solutions deliver accuracy and relevance across applications.
User and system optimization
- Prompt engineers optimize AI inputs to improve system responses and outcomes.
- AI design specialists create user-friendly interfaces and validate usability.
- We refine AI interactions to ensure effective adoption and use.
Award-winning innovation
Proven success in solving AI challenges
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Hackathon-winning team
Awarded for solving GenAI problems
Our team has won multiple hackathons, including HackYeah and Hack to the Rescue. We’ve developed AI-driven projects that address pressing challenges across various fields, from environmental sustainability and mental health to education and fintech. These wins show our ability to solve real problems and deliver useful results.
They trusted our expertise
Tools and technologies
Our AI tech stack
AI frameworks
AI libraries
Tools
Cloud platforms
Data management
Our Generative AI development expertise
Featured Generative AI projects we implemented
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AI Agent
AI-powered 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 assistant
Intelligent sales assistant for credit card recommendations
CLIENT: BANK • UAE
- Meeting preparation assistance: The assistant helps sales representatives prepare for customer meetings. It provides detailed reminders about product terms and benefits for accurate and personalized recommendations.
- Real-time data analysis: The assistant analyzes input from the salesperson in real-time and compares it against the conditions of over 20 different credit card products. Then, it issues accurate recommendations that meet both client expectations and bank requirements.
- Integration with up-to-date product data: Direct integration with the bank’s product database ensures recommendations are based on the latest offer conditions.
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GenAI Contract Analysis
Legal AI tool for risk analysis and contract compliance
- Step-by-step contract processing: Users can upload contracts in supported formats like DOCX or PDF. The system identifies and categorizes them based on predefined types, ensuring organized management of legal documents.
- 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. This reduces manual effort and increases precision in legal reviews.
- Chatbot for quick legal answers: The chatbot allows users to ask questions about specific analysis sections or engage in a natural language conversation for additional insights. It remembers the context of the session and provides answers derived from the AI-generated data and knowledge base.
We build safe, compliant, and ethical AI systems
Security, ethics & expertise in Generative AI consulting
Responsible AI guardrails and advanced architecture
We help you define guidelines for safe and ethical AI usage, ensuring your solutions behave responsibly. Using advanced architectures like memory systems, planning modules, and RAG pipelines, we deliver AI systems built for reliability and scalability.
Ethical practices and regulatory compliance
Our consulting approach prioritizes fairness, transparency, and accountability. We ensure your AI systems comply with standards like ISO 27001, GDPR, and CCPA, safeguarding data privacy and meeting industry regulations.
AI use policies and domain expertise
We guide you in creating AI use policies tailored to your business objectives. With extensive experience in finance and other regulated industries, we address compliance and security challenges specific to your sector.
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.
Get in touch
Let’s talk
Book 1-on-1 consultation
FAQ
All you need to know about Generative AI consulting
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What is Generative AI consulting?
Generative AI consulting involves guiding businesses in implementing AI solutions like Large Language Models (LLMs) to solve specific challenges. This includes strategy development, use case identification, and technical support for deploying AI systems tailored to your needs.
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How do you identify the right AI use cases for my business?
We start with workshops/hackathons and consultations to understand your business goals, challenges, and current processes. From there, we identify high-impact areas where Generative AI can deliver measurable value, such as improving efficiency, reducing costs, or enhancing customer experiences.
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What industries can benefit from Generative AI?
Generative AI has applications in many industries, including finance, healthcare, legal, retail, and education. It can automate workflows, improve data analysis, generate content, and enhance decision-making in industry-specific contexts.
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Do I need technical expertise to work with you?
No technical expertise is required. Our team works closely with you to guide you through every step of the process, from strategy to implementation. We handle the technical aspects, while you focus on your business goals.
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How long does it take to implement a Generative AI solution?
Timelines vary depending on the complexity of the project. A Proof of Concept (PoC) can typically be developed in 4–8 weeks, while a full-scale implementation might take several months.
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Is my data secure during the AI implementation process?
Yes, we prioritize data security and privacy. All projects are conducted in compliance with standards like GDPR, HIPAA, and ISO 27001. For added control, we offer on-premise and hybrid deployment options.
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What are the costs associated with Generative AI consulting?
Costs depend on the scope of the project, including the complexity of the solution, data requirements, and infrastructure setup. We provide transparent pricing and can work within your budget to achieve your goals.
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Can Generative AI solutions integrate with my existing systems?
Yes, we specialize in integration with your current tools and workflows, such as CRMs, ERPs, and proprietary platforms. Our solutions are designed to complement and enhance your existing infrastructure.
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What happens after the solution is deployed?
We provide post-deployment support, including monitoring, optimization, and training for your team. We ensure the solution continues to meet your evolving business needs.