Insights
Insights on AI workflows, automation patterns, and what we're building.
Building Multi-Agent Pipelines: When One AI Isn't Enough
A single AI agent is powerful. Multiple agents working together, each specialised and focused, can handle tasks that no single agent can. Here's how to design and build multi-agent pipelines that actually work.
How to Monitor AI Workflows in Production: Observability Patterns for Agentic Systems
Deploying an AI workflow is the easy part. Knowing when it breaks, and why, is the hard part. Here are the observability patterns that make agentic systems debuggable and trustworthy in production.
Building Smarter AI Pipelines with the Model Context Protocol
MCP is quietly becoming the standard interface for giving AI agents access to the real world. Here's what it is, why it matters, and how to use it to build more capable AI pipelines.
Design with AI: Build Powerful Workflows Just by Describing Them
We're introducing Design with AI — a conversational workflow builder that lets anyone on your team automate complex processes using plain English, no technical setup required.
Which Business Workflows Should You Automate? A Practical Decision Framework
Not every business process is worth automating — and automating the wrong ones can cost more than it saves. Here's a practical framework for deciding what to automate, what to augment, and what to leave alone.
AI Agents for Healthcare Operations in Africa: The 5 Workflows Every Provider Should Deploy
Africa's healthcare systems are stretched thin — too few doctors, fragmented records, and rising patient volumes. AI agents are not a future promise here; they are an operational necessity. Here are the five agentic workflows that can meaningfully reduce the burden on African healthcare providers today.
Gemma 4 Is Here — Build Smarter, Safer Workflows for Healthcare & Finance
Google DeepMind's Gemma 4 brings frontier-class reasoning, 256K context, and multimodal support under an Apache 2.0 license. Here's how to use it in CipherSense Agents via HuggingFace and Ollama — and why regulated industries should care.
CipherSense Agents vs n8n: Which Automation Platform is Right for Your Enterprise?
Both CipherSense Agents and n8n let you build automated workflows visually — but they're designed for fundamentally different problems. Here's an honest breakdown for enterprise teams.
Five Patterns for Building Reliable AI Workflows
LLMs are non-deterministic by nature. Here are five patterns we've seen work well for teams that need their AI workflows to be dependable in production.
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