Analyses, experience reports and insights on AI agents, LLMs and their integration into business software.
Copilot, Gemini: who keeps the customer relationship when an AI agent becomes the entry point to business software? Postures for ERP, CRM, HRIS publishers.
Read more about AI Agents: Who Holds the Front Door?
Inference cost drops 50x a year. Yet software publishers' AI budgets keep growing. Here's the gap between sticker price and real cost.
Read more about Token prices are falling. Your bill isn't.
Token prices keep falling, yet your agentic AI costs climb anyway. Token-based, premium, embedded, outcome-based: how do you choose?
Read more about Monetizing AI: why publishers are stuck
AI-powered OCR or vision-language models? A practical guide to choosing the right approach for your software, and why most publishers end up needing both.
Read more about OCR vs Vision Models: which tech should you choose?
The MCP protocol is under fire, but the real problem is the LLM-as-router architecture. Agora's approach separates interpretation from execution.
Read more about MCP is not dead, it's being misused
Why Agora chose local inference to run AI models: sovereignty, cost control, performance, and full technical mastery of the stack.
Read more about Local inference
AI could boost EU GDP by 0.7% per year. Software publishers are key players in capturing this value through AI-enhanced applications.
Read more about AI, a powerful growth driver for publishers
Agentic AI promises unprecedented efficiency but relies on unpredictable model behaviors. Explore the risks, solutions, and future scenarios.
Read more about Agentic AI: ideal employee or ticking time bomb?
Chatbots follow scripts; conversational agents understand context, adapt, and orchestrate complex actions. Learn the key differences.
Read more about Conversational agents vs chatbots: key differences
Conversational AI is transforming business applications. Publishers hold the key to democratizing AI for SMEs and large companies alike.
Read more about Business app publishers: drivers of productivity
AI pricing models for software publishers: embedded vs premium, cost structures, and strategic positioning in a rapidly evolving market.
Read more about AI at all costs? Understanding pricing models
Porter's forces analysis applied to conversational AI for software publishers. How competitive dynamics are shifting over the next 3 years.
Read more about Software publishers: May the Force be with you!
From nudges to deepfakes, from medical ethics to digital ethics -- exploring the ethical dimensions of AI for software publishers.
Read more about AI and ethics: knock or no knock?
Understanding the differences between open source, open weight, and proprietary LLMs -- licenses, performance, costs, and sovereignty.
Read more about Open source, open weight or proprietary LLM?
Is digital technology driving ecocide? The reality is nuanced -- examining efficiency, growth, and the environmental impact of the sector.
Read more about Predicting digital's environmental footprint
LLMs sometimes generate false information presented as fact. Origins, consequences in professional contexts, and mitigation strategies.
Read more about Hallucinations, LLMs and conversational AI
The European AI Act has come into force. What software publishers integrating AI features need to know, and what they must do to comply.
Read more about The AI Act: dura lex, sed lex
ERPs are powerful but complex. Conversational AI lets users access them in natural language, without training, even occasionally.
Read more about Simplify your ERP by integrating conversational AI
Integrating AI into your application requires method and foresight. Here are the 8 key questions every product director should ask before getting started.
Read more about 8 questions before integrating AI into your app
Beyond the post-ChatGPT hype, why should software publisher executives take conversational AI seriously? Four concrete reasons.
Read more about CEO, conversational AI: 4 reasons to pay attention
What criteria should you evaluate before integrating conversational AI into your business software? A practical guide for product directors.
Read more about Conversational access to business software: criteria
Smartphones have revolutionised our relationship with technology, but mobile user experience often disappoints. Challenges and solutions.
Read more about Mobile user experience: challenges and solutions
After web and mobile, conversational interfaces open a new access mode for business software. Why this evolution is now possible, and how to implement it.
Read more about Conversations for enterprise applications
84% of employees don't master the tools they use every day. Why digital adoption is still a critical issue for organisations, and how to address it.
Read more about Digital adoption remains a challenge
Apple announces that the Apple Watch Series 9 can process Siri requests directly on the device, without internet: a step towards sovereign inference.
Read more about Apple GPT
Conversational AI integrated into HR Information Systems benefits both end users and software publishers by automating routine tasks.
Read more about When AI steps up to HRIS, users are the winners
How GPT, described as a 'next-word prediction machine', manages to answer complex questions despite its fundamentally simple nature.
Read more about The emergence of ChatGPT
A publisher who wants to deliver the best experience must focus on their users, rarely the starting point in enterprise software.
Read more about Publishers: the user is the key
ChatGPT has dominated headlines for weeks. Impressive technical achievement or tool to handle with care? An analysis of this language model.
Read more about ChatGPT: enthusiasm or concern?
Collaborative tools are multiplying without always considering user experience. Natural language is key to an efficient digital workplace.
Read more about Software publishers: simplify your users' journeysNo articles found.