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Uncomfortable ideas about how companies are run today: why fragmentation has become normal, and what changes when a company starts to think as a single intelligence.

Glass digital credential connected to verification points in violet and cyan.
Agentic Identity17 September 2026

Digital ID for AI agents: how the NEXTAI launch works

NEXTAI issues verifiable identities to its AI agents: a signed W3C credential, written limits, revocation and a public check that takes 30 seconds.

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A digital identity examined with a magnifying glass and bound to an agent.
Agentic Identity17 September 2026

Why every AI agent should carry an ID (and how to check ours)

Verifiable agentic identity is the ability to prove publicly and cryptographically who operates an AI agent, what it is authorised to do and what it is forbidden to do. Here is how the CORTEX Seal works and how to check Argos's in 30 seconds.

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Conceptual illustration of software agents connected by a shared channel, next to a credential and a permission control.
Agentic Identity17 September 2026

OpenAI agents that "escaped": the facts and the lessons

What actually happened with the OpenAI agents, and how the NEXTAI digital ID, its manifest and future integrations can contribute to keeping AI under control.

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A rule book and a notice about interacting with an AI system.
Agentic Identity17 September 2026

AI Act Article 50: transparency for AI agents in SMEs

Article 50 of the AI Act: roles, transparency notices and the limits of an agent digital ID. A signed credential is not the same thing as regulatory compliance.

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A credential and a broken access chain, representing revocation.
Agentic Identity17 September 2026

How to revoke an AI agent's credential and stop its access

Revoking a credential and stopping an agent are different controls. The procedure, caches, permission withdrawal and tests with measured times.

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Layers of a digital identity: subject, declared data and signature.
Agentic Identity17 September 2026

What a digital ID for AI agents is

A digital ID for AI agents is a signed credential that attests who operates the agent, what it can do and what it is forbidden to do. Here is how it works.

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A document, a key and the check on a verifiable credential.
Agentic Identity17 September 2026

W3C verifiable credentials for AI agents, explained

VC 2.0, DIDs, status lists, KMS and the manifest hash: how the identity of an AI agent works under the bonnet, with plain analogies and clear limits.

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A list of six checks examined with a magnifying glass.
Agentic Identity17 September 2026

Six questions for your AI agent provider

The six questions that separate a serious AI agent provider from one that depends on you believing them, with the good answer and the bad answer to each.

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A signed credential next to a sequence of blocks and its verification.
Agentic Identity17 September 2026

AI agent identity and blockchain: what it adds and what it does not

What already works without blockchain, what anchoring on Base with EAS and ERC-8004 will add, and which problems neither layer is going to solve.

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A credential's path towards the blocks of a future attestation network.
News17 September 2026

Agent identity on Base: the NEXTAI roadmap

The proposal to anchor on Base with EAS and ERC-8004: what is being studied, what evidence is still missing and what works today without blockchain.

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A software agent preparing documents in front of a permission barrier.
Agentic Identity17 September 2026

Argos case study: the first NEXTAI agent with a digital ID

What Argos does, what it is forbidden to do, what its A4 level means and how to check its credential in 30 seconds without signing up anywhere.

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An agent's path of actions with a fork in the road and a visible boundary.
Agentic Identity17 September 2026

An autonomous agent is not an agent with a will: what the AEPD says

What has been reported about incidents involving AI agents, and which controls a company should ask for: identity, permissions and access withdrawal.

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The Argos credential on an issuance base lit in violet.
News17 September 2026

Argos: the first verifiable identity in the NEXTAI fleet

NEXTAI has issued credential CRD-2026-0001 to its agent Argos: a signed identity, a published scope and a check open to anyone.

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A credential registry and a policy document shown on glass panels.
News17 September 2026

NEXTAI publishes its agentic identity policy and agent registry

A public policy, an agent registry in JSON and technical documentation: NEXTAI opens up the minimum identity data for its AI agents.

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A professional reviewing visibility metrics and a citation generated by a language model.
AI Visibility17 August 2026

GEO: what Generative Engine Optimization is

What GEO (Generative Engine Optimization) is, how citations work inside LLMs and a practical 12-point guide based on our August 2026 measurement.

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A software architect analysing complex flow diagrams on a touchscreen.
AI Economics11 August 2026

Build vs buy in enterprise AI: how to decide in 2026

Build or buy AI: a decision matrix built on technical criteria, a three-year cost comparison and the hybrid model AI-Native organisations actually use.

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An executive analysing financial charts over artificial intelligence workflows.
AI Economics2 August 2026

AI ROI: how to calculate it properly

Calculate the real ROI of artificial intelligence: break down the hidden costs, avoid bias in the maths and measure the financial impact precisely.

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A technology director reviewing a dashboard with the registry of active AI agents.
AI Governance21 July 2026

AI governance: how to keep an AI agent registry

The agent registry is the core tool of AI governance. How to run the inventory, the agent records, the roles and the withdrawal plan.

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A technician reviewing permission flows and isolation levels for autonomous AI agents.
AI Governance18 July 2026

AI agent security: permissions, boundaries and audit

Secure your AI agents with strict privilege control, protection against prompt injection and constant audit, to contain the risk in a corporate setting.

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Executives reviewing technical documents and screens to assess AI systems against the regulation.
AI Governance12 July 2026

EU AI Act: what it really requires from companies

Regulation (EU) 2024/1689 unpacked: roles, risk categories, operational obligations and a 90-day action plan for companies in the EU.

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An executive facing a screen of stalled charts beside a wilting plant.
AI-Native Company25 May 2026

Pilot fatigue: why 80% of AI pilots fail

Close to 80% of enterprise AI pilots never reach production. The root causes of pilot fatigue, and how to avoid them.

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A control screen showing operational autonomy metrics in a digitalised workspace.
AI-Native Company22 May 2026

RAO: the metric that replaces AI vanity metrics

The RAO measures the real operational autonomy of AI in business processes. How to calculate it and what crossing the 70% threshold means.

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An ascending chart representing six stages of technology adoption up to full autonomy.
AI-Native Company16 May 2026

The AI-Native Scale: six maturity levels for enterprise AI

The AI-Native Scale: a six-level model that measures AI maturity by how autonomously business processes run without human intervention.

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A management team reviewing performance charts over autonomous workflows.
AI-Native Company13 May 2026

What an AI-Native company is: definition, levels and roadmap

What defines an AI-Native company, how it differs from an AI-Enabled one, the maturity levels and the strategic route for European SMEs.

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A flow diagram showing the coordinated connection of several intelligent processing nodes.
Superagents7 May 2026

Multi-agent orchestration: stopping 10 agents colliding

Multi-agent orchestration is the system that regulates how AIs work together, to avoid duplication, deadlocks and operational errors in the company.

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A headset, conversations and a queue of customer service requests.
Superagents25 April 2026

Customer service superagent: beyond the chatbot

A customer service superagent goes past the chatbot: it connects to the ERP and CRM to close cases autonomously and measures real effectiveness through RAO.

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Sales stages and client records connected together.
Superagents22 April 2026

Sales superagent: the AI agent for sales and CRM

How a sales superagent automates lead qualification, the CRM and follow-up, so your team can concentrate on closing.

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A diagram classifying four levels of autonomy with hierarchical arrows and progress bars.
Superagents19 April 2026

Chatbot vs copilot vs agent vs superagent: the 4 real levels

The technical differences between chatbots, copilots, task agents and superagents, with a detailed look at cost, autonomy and what it takes to deploy each one.

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Interconnected nodes representing an autonomous system managing a complex workflow.
Superagents13 April 2026

What an AI superagent is: definition, types and examples

What an AI superagent is: architecture, how it differs from chatbots and copilots, and how to move from running tasks to owning business processes.

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A neural network connecting scattered office documents in a corporate workspace.
Enterprise Brain4 April 2026

Enterprise Brain vs ChatGPT in the enterprise: a comparison

The differences between ChatGPT and an Enterprise Brain across 12 technical criteria: operational fit, costs, and when to bring each one into your business.

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An executive trying to connect scattered documents in front of a screen of complex data.
Enterprise Brain1 April 2026

Context Debt: the cost of an AI that does not know you

What Context Debt is, how it hits your P&L, and the method for paying down this hidden cost by building a solid corporate memory.

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A specialist configuring data flows for a retrieval architecture on a touchscreen.
Enterprise Brain26 March 2026

Enterprise RAG: a step-by-step implementation guide

A practical guide to implementing enterprise RAG: data preparation, embeddings, chunking and evaluation, set against the risks of fine-tuning.

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Five interconnected technology layers representing the architecture of an enterprise brain.
Enterprise Brain23 March 2026

The 5-layer architecture of the Enterprise Brain

The Enterprise Brain architecture integrates five critical layers: Data, Memory, Reasoning, Agency and Governance. A hierarchy built to avoid predictable failures.

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A neural network connected to corporate documents, representing an enterprise brain.
Enterprise Brain20 March 2026

What an Enterprise Brain with AI is (and what it is not)

What an Enterprise Brain with AI really is: a knowledge architecture that goes beyond chatbots and data warehouses to centralise corporate intelligence.

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