Insights
Author: admin
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Agentic AI moves into the workflow
Agents are leaving the pilot sandbox and taking real steps inside enterprise processes, which changes what you have to build around them.
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Tool protocols are the new integration layer
Open protocols such as the Model Context Protocol give AI agents a standard way to reach enterprise systems, and they deserve the same care…
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Small models at the edge
Compact language models running on devices and edge hardware open up use cases that cloud-only AI cannot serve well.
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Coding assistants change the delivery lifecycle
AI coding assistants speed up writing code, which moves the bottleneck to review, testing and design, and teams need to adjust for that.
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AI in software testing needs humans in the loop
AI can generate tests and repair brittle ones, but deciding what correct means still belongs to people.
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From RAG to knowledge graphs
Graph-based retrieval helps enterprise search answer questions that span many documents and relationships, where plain vector search struggles.
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Voice agents in customer service
Latency, handoff and trust decide whether a voice AI agent helps callers or drives them to press zero.
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Multimodal AI for document-heavy processes
Invoices, claims and KYC packs are where multimodal models earn their keep, if extraction is treated as a pipeline with checks rather than a…
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Preparing for the EU AI Act as an engineering team
Risk-based AI regulation turns into engineering work, and teams that build inventory, documentation and oversight into delivery now will spend less time retrofitting later.
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Engineering for India’s DPDP rules
Consent, minimisation and retention under India’s Digital Personal Data Protection framework are system design problems as much as policy ones.