Botsify Blog | AI Agents, Automation & Business Growth
A team launches an agent to answer routine questions. A few weeks later, it is connected to a shared inbox, a customer database, and a …
How to Build an AI Agent Policy for Teams (Template Included) Read More »
An agent can find a product, fill a cart, or prepare a subscription change in seconds. The risk begins when it can submit the order, …
How to Prevent AI Agents From Making Unsafe Purchases or Actions Read More »
An AI agent that can search a CRM, read a shared drive, update a ticket, or send a message is part of your access-control environment. …
How to Control AI Agent Access to Internal Systems Read More »
An AI agent can answer a normal customer question correctly and still fail when a hostile instruction is hidden in a document, web page, email, …
How to Audit AI Agents for Prompt Injection Risks Read More »
Prevent rogue AI agent behavior with least-privilege access, action limits, realistic testing, human handoffs, and a practical incident plan.
Hallucination is the failure that ends AI projects. Not because the model is bad, because nobody tested what happens when it doesn’t know the answer. …
The best test cases for your AI agent aren’t invented in a meeting, they already exist in your support inbox. Every ticket, every confused customer, …
How to Create AI Agent Test Cases From Real Support Tickets Read More »
Safe AI agents for healthcare require a narrower operating boundary. Healthcare is the highest-stakes context for AI agents. A wrong answer isn’t an embarrassment, it’s …
How to Build Safe AI Agents for Healthcare and Clinics Read More »
When leadership asks “what is the AI actually doing?” the answer needs to be a document, not a story. An AI agent audit trail is …
How to Build an AI Agent Audit Trail for Leadership Read More »
Decide what your AI agent keeps, for how long, and how to delete it — with a tiered retention model, a policy template, and a compliance checklist.