AI Conversational Agent 25 h
AI Conversational Agent 25 h
What is AI Conversational Consultancy?
Conversational consultancy leverages artificial intelligence, especially Large Language Models, and natural language processing (NLP) technologies, to offer business solutions consultancy.
Why choose AI Conversational Consultancy 25 h ?
Value Beyond Price
evaluate Generative AI solutions and services and choose the right for your business.
Instantaneous Insights, Anytime to the Customer to your products and services
No waiting, no delays to your Customer. Offer immediate answers clients to drive immediate actions based on your business specific information.
Harnessing the Power of Data: In this era, data is the new gold. With our system, you're not just getting opinions or subjective feedback. Every piece of advice or strategy is backed by extensive data analysis, ensuring that every decision you make is both informed and strategic.
Scales when growth is happening: Human consultancy has limits. With our solution, scale becomes a non-issue. Want to roll out insights to 100 team members? 1000? More? Our AI system is ready to deliver consistent, quality advice to everyone, all at once.
Flexible & Adaptable: Your business isn’t static. Our AI learns and adapts with you. Whether you’re launching a new product, pivoting your strategy, or exploring new markets, our AI consultancy is right there with you, evolving in real-time.
Future-Proof Your Business: The businesses that thrive are the ones that adapt. Our AI consultancy isn’t just about today's solutions. It’s designed to anticipate market shifts, trends, and challenges, ensuring that you’re always one step ahead of the competition.
Potential Features and Benefits
Real-time Feedback: AI can provide instant responses based on the enterprise’s own data, allowing businesses to get insights in real-time from their data sources and from external Large Language Models and from Internet.
Data-driven Decisions: AI models can process vast amounts of data to derive insights, offering businesses decisions based on quantifiable evidence.
Cost-effective: Once set up, the marginal cost of serving another user or answering another query is almost zero for an AI, which could be more cost-effective in the long run than human consultants for some tasks.
Scalability: AI solutions can be scaled across an organization quickly, ensuring everyone gets consistent advice and insights.
24/7 Availability: Unlike human consultants, AI systems are available round-the-clock.
Challenges
Complexity of Business Challenges: Not all business challenges are data-driven or can be solved algorithmically. Human intuition, emotional intelligence, and experience can be crucial in some situations.
Data Quality: The quality of advice or insights depends heavily on the quality and relevance of the data fed into the AI system.
Limitation of Current Technology: While NLP has come a long way, it's not infallible. Misunderstandings or oversights can occur.
Depersonalization: The human touch in traditional consultancy can be vital for understanding nuanced issues or for sensitive topics.
Applications in the Real World
Market Analysis: Businesses can use AI to get real-time market insights and trends.
Operational Efficiency: AI can analyze operations and provide recommendations for optimization.
Financial Forecasting: Predict future financial trends based on historical data.
Customer Insights: Understand customer behavior, needs, and preferences in-depth.
Future Outlook
As AI continues to develop and improve, we can expect more integration in the consultancy space. However, the blend of human and machine intelligence is likely the most effective approach. Human consultants can focus on more nuanced, complex, and strategic challenges, while AI can handle large-scale, data-driven tasks efficiently.
In conclusion, AI-driven conversational consultancy offers a promising avenue for businesses to gain insights and make informed decisions. However, as with any tool, its effectiveness will depend on how it's implemented and integrated with other business processes and strategies.
Agile Project
Artificial Intelligence in the Enterprise
Open AI
Open Source MLLs
Data integration and sourcing
agile/ value streams management
with agile /devops/MLOps team
Tietosuoja / Tietoturva / Master Data / Collaborative Work Management
General Contracting Terms
Agreement Terms: IT2018 , IT2015
YSE EAP or Customer’s own.
NDA with every consultant.
Intellectual Property Rights (IPR) to the work done is transferred to the customer after bill is paid.
