Agents for Procurement Workflows: Handling the Exceptions
How a bounded agent resolves the exceptions in a procurement document pipeline, with deterministic rules, validation and human review keeping control of the outcome.
Read More
Improving Enterprise Search for People and AI Agents
How domain-customised search returns the products, documents and records people are actually looking for, when misspellings, word order and specialist vocabulary would otherwise hide them.
AWS Cost Optimization: How to Find Cloud Resources You Are Paying For but No Longer Need
A practical, evidence-based process for finding idle and oversized AWS resources, proving they are genuinely unused, and reducing cloud spend without creating a production incident.
MCP for Business: Can AI Agents Become a New Software Distribution Channel?
What changes when the consumer of your software is an agent rather than a person, which companies are already exposing capabilities this way, and what publishing an MCP server actually gets you.
Cloud Cost Comparison: How to Estimate Public Cloud Cost for Your Business
A practical framework for comparing AWS, Azure, and Google Cloud by workload, architecture, usage, cost allocation, and cloud cost per customer.
AI Agents and Enterprise Cybersecurity: Risks, Governance, and Operational Controls
The cybersecurity risk from AI agents begins when they can execute actions across enterprise systems — not when they generate unsafe text
Custom Software Development Cost in India: A Practical Guide to Software Economics, Support, and Long-Term Ownership
What enterprises need to understand about TCO, pricing models, QA, support SLAs, managed services, and software lifecycle economics
Cybersecurity Risk Assessment for Enterprises: Framework, Operational Risks, and Implementation Guide
Most cybersecurity failures happen because organizations lack operational visibility — not because threats are unknown. Here is how modern enterprises should execute risk assessments that actually change outcomes.
5 Enterprise Workflows Ripe for Agentic AI – And How to Operationalize Them Safely
Where agentic AI fits in the enterprise, where deployments fail, and how to roll out workflows with governance