Insulin Blog

Building agents, grounding them in your own data, and putting the results to work.

AI Agent Audit Logs: What Enterprises Record
Security

AI Agent Audit Logs: What Enterprises Record

When an AI agent does something wrong, the first question is 'what exactly happened' — and most teams cannot answer it. What an agent audit log has to capture, and why.

Chengjun Yuan
AI Agent Incident Response for Enterprises
Security

AI Agent Incident Response for Enterprises

An AI agent will eventually take an action it should not have. The teams that handle it well decided how to detect, contain, and recover before it happened — not after.

Chengjun Yuan
AI Agents for Finance Operations, Explained
Agents

AI Agents for Finance Operations, Explained

Finance runs on recurring, rule-bound work that is perfect for agents and unforgiving of mistakes. Where AI agents fit the close, reconciliation, and reporting — safely.

Gabriel Paiva
AI Agents vs Workflows vs Copilots: Which to Use
Agents

AI Agents vs Workflows vs Copilots: Which to Use

Three words for three different things, used as if they were one. What separates an AI agent from a workflow from a copilot, and how to pick the right one per task.

Gabriel Paiva
Change Management for Enterprise AI Rollouts
Workspace

Change Management for Enterprise AI Rollouts

The AI rollout that fails rarely fails on the technology. It fails because people were handed a tool and left to figure out whether it was safe to trust. A rollout plan.

Max Ma
Enterprise AI Adoption Metrics That Matter
Workspace

Enterprise AI Adoption Metrics That Matter

Logins prove people opened the tool, not that it changed their work. The adoption metrics that actually predict whether enterprise AI sticks — and how to read them.

Max Ma
Enterprise AI Spend Governance: A Practical Guide
Security

Enterprise AI Spend Governance: A Practical Guide

AI spend does not blow up on the model price — it blows up on usage nobody is watching. How to govern AI cost by user, app, and model before the bill teaches you.

Chengjun Yuan
Permission-Aware Enterprise Search for AI Agents
Knowledge Bases

Permission-Aware Enterprise Search for AI Agents

An AI agent that searches everything will eventually answer from a document the asker was never allowed to see. How permission-aware search stops that at retrieval.

Zee Chen
Shadow AI: How to Find and Govern It at Work
Security

Shadow AI: How to Find and Govern It at Work

Employees are already using AI you did not sanction. Banning it drives it underground; ignoring it leaks data. How to find shadow AI and govern it into the open.

Chengjun Yuan
AI Agent Observability: What Business and IT Teams Should Monitor
Automation

AI Agent Observability: What Business and IT Teams Should Monitor

Once an agent runs unattended, you monitor it or you trust it blindly. What business and IT teams should watch — completion, escalation, groundedness, cost, latency, drift — and where each signal lives.

Shirley Guo
AI Agent Failure Handling: Retries to Rollbacks
Jobs

AI Agent Failure Handling: Retries to Rollbacks

An agent that runs unattended will fail sometimes. What matters is what happens next — retry, degrade, hand to a person, or leave nothing behind to undo.

Shirley Guo
AI Agent Risk Assessment: A Reusable Business Workflow Template
Trust

AI Agent Risk Assessment: A Reusable Business Workflow Template

Before you grant an agent access, score the risk. A reusable template that rates data sensitivity, reversibility, autonomy, blast radius, oversight, and auditability — and decides what to gate.

Sophia Faria
AI Agents for IT Help Desks: A Practical Automation Blueprint
Agents

AI Agents for IT Help Desks: A Practical Automation Blueprint

A blueprint for automating the IT help desk with AI agents: triage and route tickets, answer from your IT docs with cited sources, and gate every account change on human approval.

Gabriel Paiva
AI Agents for Revenue Operations: 10 Workflows Worth Automating
Agents

AI Agents for Revenue Operations: 10 Workflows Worth Automating

RevOps runs on recurring, deadline-shaped, and change-triggered work — exactly what an agent handles well. Ten workflows to automate, and where a human still approves.

Shirley Guo
AI Use-Case Prioritization: How to Choose the First Five Business Workflows
Automation

AI Use-Case Prioritization: How to Choose the First Five Business Workflows

Everything looks automatable in a workshop. A scored framework — value, frequency, data, reversibility, a checkable 'done', and integrations — picks the first five that actually pay off.

Max Ma
Build vs Buy Enterprise AI Agents: A Decision Framework
Agents

Build vs Buy Enterprise AI Agents: A Decision Framework

A framework makes the prototype easy. Production ownership — governance, integrations, audit, reliability, security — stays expensive. A decision framework for build vs buy.

Gabriel Paiva
Enterprise AI Agent Memory: What Should Agents Remember—and Forget?
Agents

Enterprise AI Agent Memory: What Should Agents Remember—and Forget?

"Give the agent memory" is usually four different requests wearing one word. Which kind of memory each business fact belongs in, and what an agent should never keep.

Gabriel Paiva
The Enterprise AI Maturity Model: From Personal Copilots to Governed Agentic Work
Workspace

The Enterprise AI Maturity Model: From Personal Copilots to Governed Agentic Work

Enterprise AI adoption is a ladder, not a switch. Five levels — copilots, grounded chat, scoped agents, scheduled jobs, governed operations — each with the capability and the governance it needs.

Max Ma
How to Measure AI Answer Quality and Source Coverage
Search

How to Measure AI Answer Quality and Source Coverage

Fluency tells you nothing about whether an AI answer is right. The metrics that do — groundedness, source coverage, retrieval recall — and how to compute each one on your own knowledge base.

Zee Chen
25 Security Questions to Ask an Enterprise AI Agent Vendor
Security

25 Security Questions to Ask an Enterprise AI Agent Vendor

A buyer's checklist for evaluating an enterprise AI agent platform — 25 questions across data, access, scoping, actions, audit, and deletion, with the evidence to demand for each.

Chengjun Yuan
AI Agents for Customer Support: From Answering Questions to Resolving Cases
Agents

AI Agents for Customer Support: From Answering Questions to Resolving Cases

Support AI is moving past deflection. Here is how an agent grounds in your help docs, acts across systems with scoped access and approvals, and escalates when it should.

Gabriel Paiva
Enterprise AI Data Privacy: A Practical Guide for Business Teams
Trust

Enterprise AI Data Privacy: A Practical Guide for Business Teams

What company data can safely enter an AI workflow — and the operating rules for classification, access, retention, residency, and deletion that keep it that way.

Sophia Faria
From AI Pilot to Production: The Enterprise Readiness Checklist
Agents

From AI Pilot to Production: The Enterprise Readiness Checklist

A demo that impresses is not an agent you can trust in production. Here is the cross-functional readiness checklist for taking an AI agent live.

Gabriel Paiva
How to Calculate the ROI of AI Agents for Business Workflows
Agents

How to Calculate the ROI of AI Agents for Business Workflows

A transparent framework for AI agent ROI: value from time saved, rework avoided, faster cycles, and wider coverage, minus its build and review cost.

Gabriel Paiva
How to Choose the Right Enterprise AI Agent Platform
Agents

How to Choose the Right Enterprise AI Agent Platform

The demo is easy. The requirements matrix is where platforms separate: knowledge grounding, integrations, governance, observability, and how an agent actually deploys.

Gabriel Paiva
How to Evaluate AI Agents: A Business-Focused Scorecard
Trust

How to Evaluate AI Agents: A Business-Focused Scorecard

Response quality is not the same as good work. An AI agent evaluation framework that scores the whole task — completion, correctness, policy, escalation, cost, and latency.

Sophia Faria
How to Test an AI Agent Before It Touches a Business System
Trust

How to Test an AI Agent Before It Touches a Business System

Before you grant an agent write access, put it through a test suite: golden tasks, adversarial cases, scope checks, tool-failure handling, and approvals.

Sophia Faria
How to Write Reliable Instructions for Enterprise AI Agents
Agents

How to Write Reliable Instructions for Enterprise AI Agents

Most agent failures start with vague ownership and undefined exceptions. Reliable AI agent instructions read like an operating contract, not a prompt.

Gabriel Paiva
RAG vs Fine-Tuning for Business AI: Which One Do You Need?
Knowledge Bases

RAG vs Fine-Tuning for Business AI: Which One Do You Need?

Teams reach for fine-tuning when what they actually need is current company knowledge. Here is what each does, and why retrieval is the default for factual business context.

Zee Chen
How to See Past Runs of a Scheduled AI Job
Jobs

How to See Past Runs of a Scheduled AI Job

An unattended agent ran overnight. The runs table on each job's detail page shows every past execution — when it ran, whether it worked, what it did.

Shirley Guo
Build an Internal Dashboard With AI, No Code
Custom Apps

Build an Internal Dashboard With AI, No Code

Type a sentence, get a working dashboard. What happens in between — generate, compile, safety-check — is the part that decides whether you can trust it.

Qiuyang Luo
Connect Google Drive to an AI Knowledge Base
Knowledge Bases

Connect Google Drive to an AI Knowledge Base

Beyond uploading files: connect GitHub, Google Drive, or ClickUp to an Insulin AI knowledge base, or crawl a public site, and read sync status per source.

Zee Chen
Auto-Draft a Follow-Up When a Deal Stage Changes
Inbox App

Auto-Draft a Follow-Up When a Deal Stage Changes

Wire a Salesforce stage change to a voice-matched follow-up and a staged private offer — with an approval gate so nothing sends until you say so.

Max Ma
How to Schedule a Recurring AI Agent Job
Jobs

How to Schedule a Recurring AI Agent Job

Turn a chat request into an unattended schedule: pick the agent, write the task in plain English, choose the trigger, review the runs. A step-by-step walkthrough.

Shirley Guo
How to Build a Grounded AI Agent for Marketplace Ops
Agents

How to Build a Grounded AI Agent for Marketplace Ops

The six-step build for a document-grounded marketplace ops agent in Insulin: name it, scope it, pick a model, attach knowledge bases, allowlist integrations.

Gabriel Paiva
How to Share an Internal App with Roles
Custom Apps

How to Share an Internal App with Roles

Roll one app out to everyone with a safe default role, then grant a named few more — the Viewer, User, Editor, Admin, Owner ladder, org-wide.

Qiuyang Luo
Install an AI Agent for the Whole Organization
Agent Marketplace

Install an AI Agent for the Whole Organization

The eval-first way to install an AI agent for the whole organization: try it on your own account first, then roll the same component out org-wide once it earns its place.

Qiuyang Luo
Restrict Which Integrations an AI Agent Can Access
Agents

Restrict Which Integrations an AI Agent Can Access

The integration allowlist is the safety boundary for an AI agent. Grant only the connected systems its job needs, and it cannot reach data outside them.

Gabriel Paiva
How to Weight Vector vs Keyword Search
Search

How to Weight Vector vs Keyword Search

Hybrid search has a dial. How to weight vector vs keyword matching in a knowledge base, when to pick a pure mode, and how to read the relevance score.

Zee Chen
Agents and Skills: What the Difference Is
Agents

Agents and Skills: What the Difference Is

An agent is who you talk to. A skill is what it knows how to do. Getting the distinction right decides whether you build one thing or twenty.

Gabriel Paiva
When to Build a Custom App, Not a Dashboard
Custom Apps

When to Build a Custom App, Not a Dashboard

A dashboard shows you a number. An app lets someone do something about it. Choosing wrongly is why so many dashboards get opened once.

Qiuyang Luo
Build an Internal Tool Without Writing Code
Custom Apps

Build an Internal Tool Without Writing Code

The dashboard nobody built is usually the one that needed three fields and a filter. Describing it is now faster than requesting it.

Qiuyang Luo
Setting Up Email Rules Without Writing Code
Inbox App

Setting Up Email Rules Without Writing Code

A rule is four decisions: which emails, what context to use, what to produce, and where it goes. None of them is a line of code, and one of them matters more than the rest.

Max Ma
Is Your Company Data Used to Train Models?
Trust

Is Your Company Data Used to Train Models?

The short answer is no. The longer answer is worth having, because it is the question that decides whether anyone uploads the documents that make this useful.

Sophia Faria
When to Use a Job Instead of a Conversation
Jobs

When to Use a Job Instead of a Conversation

If you have asked an agent the same thing three times, you have written a job by hand. The difference is whether anyone has to be there.

Shirley Guo
Why a Knowledge Base Beats a Wiki for Agents
Knowledge Bases

Why a Knowledge Base Beats a Wiki for Agents

A wiki waits to be searched. A knowledge base is read on every question, including inside jobs nobody is watching. That is the whole difference.

Zee Chen
Your LinkedIn Network, on Autopilot
Jobs

Your LinkedIn Network, on Autopilot

A scheduled Insulin agent runs LinkedIn prospecting in its own cloud browser — laptop off — and leaves a ranked shortlist with drafts, sending nothing.

Chengjun Yuan
What the Insulin Agent Marketplace Actually Is
Agent Marketplace

What the Insulin Agent Marketplace Actually Is

It has the word marketplace in it and nothing to do with AWS, Azure or Google Cloud. One distributes software to buyers. This one distributes agents to your own team.

Qiuyang Luo
When the Inbox App Acts, and When It Asks
Trust

When the Inbox App Acts, and When It Asks

Insulin never sends email on its own. That is a deliberate default, and the interesting question is which of your rules deserves an exception.

Sophia Faria
Controlling Which Agents See Which Documents
Knowledge Bases

Controlling Which Agents See Which Documents

One agent should know your pricing floor. Another should not. Document scope is set per agent, and the default for org knowledge bases is stricter than people expect.

Chengjun Yuan
How AI Learns to Write in Your Own Voice
Inbox App

How AI Learns to Write in Your Own Voice

A draft that does not sound like you costs more to fix than to write. How a voice profile is built from your sent mail, and what it can and cannot capture.

Max Ma
Build Your Own AI Agent, or Install One?
Agents

Build Your Own AI Agent, or Install One?

Once one person has built a good specialist, the next four should not rebuild it. When to start from a catalogue agent, and when to build your own.

Gabriel Paiva
Who Can Run What: AI Workspace Permissions
Workspace

Who Can Run What: AI Workspace Permissions

Sharing an AI agent across a company raises a question a personal tool never does: who can change it. How roles and install scopes fit together.

Chengjun Yuan
Scheduled or Event-Driven: Timing AI Jobs
Jobs

Scheduled or Event-Driven: Timing AI Jobs

A job runs once, on a timer, or when something happens. Choosing the wrong trigger is why automation arrives too late or runs constantly for nothing.

Shirley Guo
Keeping a Human in the Loop on AI Agents
Trust

Keeping a Human in the Loop on AI Agents

An agent that can act needs a gate before it acts. How approval works, and the difference between a review that catches things and one people click past.

Sophia Faria
Why Every AI Answer Needs a Cited Source
Knowledge Bases

Why Every AI Answer Needs a Cited Source

An uncited AI answer asks for trust it has not earned. What citations change about how teams adopt AI, and how to read one properly when it arrives.

Zee Chen
Hybrid vs Vector Search: Which Grounds Better
Knowledge Bases

Hybrid vs Vector Search: Which Grounds Better

Vector search finds meaning, keyword search finds exact terms, and business documents need both. How hybrid retrieval works and when to change its weight.

Zee Chen
Which Documents Can an AI Knowledge Base Read?
Knowledge Bases

Which Documents Can an AI Knowledge Base Read?

File formats, size limits, crawling, and connectors — what an Insulin knowledge base accepts, and which source is the right one to start with.

Shirley Guo
How to Ground an AI Agent in Your Documents
Knowledge Bases

How to Ground an AI Agent in Your Documents

Grounding separates an AI answer you can check from one you must trust. How to attach your own documents to an agent, and what to load first.

Zee Chen
One AI Assistant, or a Team of Specialists?
Agents

One AI Assistant, or a Team of Specialists?

A general assistant knows a little about everything and is accountable for nothing. Why scoped AI specialists behave better, and where to draw the lines.

Gabriel Paiva