Mar 12, 2026
AI Governance for Automation: Policies, Controls, Audit Trails, and “Human-in-the Loop” Design
AI-driven automation is crossing a threshold: workflows are no longer just executed —they’re planned, decided, and acted on by software agents. Agentic AI enables systems to reason, plan step-by-step, and take coordinated action across applications to achieve goals. That autonomy changes the governance risk curve. Speed compresses response time. Scale multiplies the blast radius of a single misconfiguration. And cross-system actions (APIs, tickets, payments, customer data, infrastructure) create failure chains that are hard to spot until they’re already customer-visible.
Paul Andersen
8 min.
Mar 4, 2026
What Is MCP in AI? A Practical Guide to Main Controller Protocol for Multi-Agent Orchestration
Multi-agent AI systems are shifting from “assist” to “act.” Instead of one model answering a prompt, multiple specialized agents can plan, share context, call tools/APIs, and execute multi-step work across business systems. That autonomy also creates new risks: duplicated effort, conflicting actions, brittle handoffs, and decision trails that are hard to audit.
6-7 min.
Feb 12, 2026
AI Tools for Research 2026
5 Unbelievably Useful Options (DeepSeek, Copilot, Claude, Gemini, ChatGPT Compared)
8 min.
Jan 12, 2026
Top 5 Tools for Autonomous AI Agents in Scientific Research (Product Overview: ChatGPT Agents, AutoGPT, Cognosys, AgentVerse, etc.)
The age of best AI tools for researchers has arrived — reshaping how scientific research is conceptualized, executed, and accelerated. No longer limited to passive automation, today's agentic AI systems actively interpret data, generate hypotheses, conduct experiments, and refine outputs without constant human intervention. This leap from procedural automation to cognitive autonomy marks a seismic shift in research workflows across disciplines — from computational biology to material science.
8 min.
Nov 24, 2025
What is Agentic RAG?
Artificial intelligence is no longer a distant vision for the healthcare industry — it’s here, actively reshaping how medical professionals make decisions, interact with patients, and manage workflows. A key advancement at the intersection of AI and medicine is the emergence of Agentic RAG, a powerful combination of autonomous agents and Retrieval-Augmented Generation (RAG).
8-11 min
Sep 5, 2025
Agent2Agent + (MCP to Tool) in MultiAgent AI Systems
Multi-Agent AI Systems are redefining autonomy by enabling networks of specialized agents to operate collaboratively toward shared goals. At the core of this capability is Agent2Agent communication, allowing agents to exchange data, coordinate tasks, and adapt in real time — unlocking distributed intelligence at scale.
15 min
Sep 2, 2025
The Role of AI Agents in Shaping Tomorrow’s Research Landscape
Business process automation (BPA) has evolved from simple rule-based systems to intelligent ecosystems that drive real-time decision-making and operational agility. As organizations shift from traditional automation to autonomy, the integration of AI—especially agentic AI—and computer vision is not just enhancing efficiency; it's redefining what's possible.
7 min.
May 19, 2025
AI vs Developers: Who Wins?
How We Tested AI Tools for Development – and What We Learned. Digest from the Cody Solutions Team.
6 min.
May 6, 2025
How FCC's Cyber Trust Mark Enhances Protection for Private and Business Users
The increasing reliance on IoT devices in homes and businesses has improved efficiency but also introduced numerous cybersecurity risks. As more smart devices connect to networks, the need for stronger security becomes critical.
Fortunately, as technology advances, cybersecurity follows…
The White House declared the launch of the U.S. Cyber Trust Mark program—an initiative designed to enhance security standards for smart devices. The program currently focuses on consumer IoT, but the certification is expected to influence BPA in the future, paving the way for new standards in
7 min
Apr 8, 2025
Why Process Mining Offers a Crucial Opportunity for Retailers
Many changes are taking place in retail, and process mining helps companies meet these challenges and make the most of new opportunities. The number of online stores is expected to double in the next decade, so that retailers are dealing with more complex logistics and supply chain issues. To keep up, they need to optimize and adapt their fulfillment operations.
4 min.