Empowering humans with AI—agentic‑first, not human‑replacing
We help CXOs and senior leaders discover agentic AI opportunities and transform products, services and operations—always with empathy, speed and trust.
"Generative AI's greatest potential is not replacing humans; it is to assist humans in their efforts to create hitherto unimaginable solutions."
AI as Your Trusted Collaborator
At krid.ai we believe the inflection point is now—an era‑defining transformation awaits.
AI should be a collaborator, not a competitor. By treating AI as a trusted teammate rather than a replacement, organisations can unlock creativity and human potential. We work with leaders to embed agentic AI ethically and responsibly, ensuring that humans remain at the centre of decision‑making and innovation.
Human-Centric Approach
AI augments human capabilities rather than replacing them
Ethical AI Implementation
Responsible deployment with trust and transparency
Transformational Results
Real business impact through strategic AI adoption
What is Agentic AI?
Understanding the next evolution of artificial intelligence
Beyond Traditional GenAI
Agentic AI refers to artificial intelligence systems that can act independently to complete tasks in the real world, not just respond with information like GenAI. These AI agents are designed with reasoning abilities, can plan actions, remember past interactions, interface with applications, learn over time, and most importantly, operate fully autonomously unless instructed otherwise.
Key Capabilities
Autonomous Reasoning
Makes decisions and plans actions independently based on context and goals
Memory & Learning
Remembers past interactions and continuously learns from experience
System Integration
Interfaces with applications, APIs, and tools to execute real-world tasks
Action Planning
Develops and executes multi-step plans to achieve complex objectives
Understanding Agentic AI
Learn how Agentic AI differs from traditional AI systems
AI Personal Assistant Demo
See Agentic AI in action
Agentic AI vs Traditional GenAI
Our AI Consultancy Services
Comprehensive solutions to help you harness the power of agentic AI
Custom AI Insights
We deliver tailored research and trend reports on generative and agentic AI. Our analysts surface the opportunities most relevant to your industry and help you prioritise investments.
GenAI + Agentic AI Discovery
Through collaborative workshops and rapid prototyping, we identify high‑impact use cases, validate them with domain experts and embed agentic workflows into your organisation.
Executive Training
We coach CXOs and senior leaders on AI strategy and adoption. Our empathic, trust‑centric programs help executives build AI‑ready cultures, redesign processes and govern autonomous agents responsibly.
AI Trends & Evidence
Data-driven insights shaping the future of AI adoption
Agentic AI Growth
Gartner predicts that by 2028, 33% of enterprise applications will include agentic AI (from <1% today) and 15% of daily work decisions will be made autonomously.
Implementation Risk
Over 40% of agentic AI projects will be scrapped by 2027 due to cost and unclear value, highlighting the need for strategic implementation.
Economic Impact
AI could add $13–16 trillion to S&P 500 market value and agentic AI may deliver ~$920 billion annually (~28% of pre-tax earnings) by 2026.
GenAI Paradox
Nearly 8 in 10 companies use generative AI, but many see little bottom-line impact. True transformation comes from deeply integrated agentic AI.
Executive Adoption
79% of executives have adopted AI agents, 88% plan to increase budgets. 66% report productivity gains, 57% report cost savings.
C-Suite Urgency
56% of executives expect transformation within a year, 68% plan to invest $50M–$250M in GenAI, showing unprecedented urgency.
Predictive Maintenance
Predictive maintenance reduces machine downtime by 30–50% and increases machine life by 20–40%, demonstrating tangible AI value.
Industrial Manufacturing
Siemens' AI‑driven Maintenance Copilot analyses sensor data and orchestrates specialised agents to support maintenance teams. Pilot implementations have delivered an average 25% reduction in reactive maintenance time.
Energy Sector
An oil producer used advanced analytics on sensor data to anticipate compressor failures weeks in advance. By pre‑positioning repair crews, it cut downtime from 14 days to six days.
Healthcare
A collaboration between DeepMind, Moorfields Eye Hospital and UCL trained AI on thousands of eye scans. The system made correct referral recommendations for more than 50 eye diseases with >94% accuracy.
Start your AI‑led transformation today
Ready to explore how agentic AI can transform your organisation? Book a 30‑minute AI Discovery Call or request an AI Opportunity Scan. Demand is high; we offer only a limited number of early‑access engagements.