AI agents enhance productivity in business processes, but organisations must learn how to control, govern, and ensure accountability as these systems become more autonomous and interconnected.
Category: Artificial Intelligence
Artificial Intelligence (AI) encompasses a range of data processing techniques embodied in products and infrastructures. These range from machine learning which can make predictions, recommendations and find patterns in data to generative AI which can create new content, images and audio which mimic human responses. AI systems can act autonomously, learn from data and influence the physical world directly or indirectly. AI systems can improve productivity, enhance learning, deepen the understanding of large data sets and establish correlations between events no human would ever be able to achieve in the time. Due to its power, autonomous features, range of use cases and human like form, the range of risks associated with its use has grown exponentionally. To help organisations achieve the best return on investment with minimal risk we assess development road maps and intended use cases and recommend the policy and mitigations organisations need apply within the boundaries of de facto standards and legislation. Seize the opportunity to advance your organisation with AI safely and get in touch with Anekanta®AI today.
How Intended Purpose Defines EU AI Act High-Risk AI
This guide outlines the responsibilities of organisations involved in high-risk AI under the EU AI Act, emphasising the need for clear classification and governance.
High-Risk AI Conformity and Global AI Governance
The new application dates for high-risk AI raise critical questions for organisations who are integrating the EU AI Act's product-centric requirements into global frameworks.
Building Trust in AI as a Growth Accelerator
Most enterprise AI systems never cross from pilot into production. What holds them there is seldom capability - it is trust - the precondition which if designed in with intent, allows the value to convert into commercial return.
The EU AI Act and Commercial Advantage
AI can improve business efficiency, increase opportunities for growth and open new routes to market. If you are selling into, operating in, or scaling across Europe, how do you capture AI value in a way that customers, supply chains, investors, regulators and boards can trust?
Agentic AI for Leaders, The Good, Bad & the Ugly
Discover how Agentic AI transforms leadership in 2026. Shift from insights to autonomous action, unlocking unprecedented efficiency and commerce. Master this milestone by balancing innovation with strategic governance to lead your organisation’s secure, outcome-driven future.
The AI Productivity Mirage
A paradox is emerging. Leaders of AI initiatives that appear compelling on paper need to think differently to deliver predictable returns once they are deployed at scale. Explore our article to learn how.
Invest, Acquire, Purchase, or Embed AI?
How to turn AI spend into measurable value with clear decision rights, risk oversight and evidence—aligned to ISO/IEC 42001, NIST and the EU AI Act.
Redefining AI Governance
In this thought leadership article, Anekanta® brings high-level thinking and clarity to a confusing landscape of ISO and regulatory requirements. We bring a different perspective which enables the consolidation of activities and a road map which leads to AI success.
What is the EU AI Act QMS?
Announcing prEN 18286 is out for enquiry - the Quality Management System (QMS) for High-Risk AI written for EU AI Act regulatory purposes.