CustomGPT's Enterprise Agent Now Plans and Acts — Not Just Answers

For two years the pitch for "AI on your content" has been the same everywhere: build a bot trained on your docs that answers questions. Useful — but interchangeable. CustomGPT.ai just shipped what it calls the biggest update in its history, and it changes that pitch: the new Enterprise Agent doesn't only answer — it plans and acts.

From answering to acting

A retrieval chatbot responds. An agent takes a goal, breaks it into steps, and carries them out. That's the shift CustomGPT is making with Plan & Act Mode: give the agent an objective and it reasons through a multi-step task, then executes — pulling data, running tasks, and producing a finished deliverable rather than a paragraph telling you how to make one.

It's the difference between "here's how you'd build that dashboard" and "here's the dashboard."

What's new in the Enterprise Agent

According to CustomGPT, three pieces make up the update:

• Plan & Act Mode — the agent thinks through a multi-step task and then executes it, instead of answering in a single turn.
• Smart Tasks — it can read and create files, build live dashboards, and reach external services, so the output is real work product, not just text.
• Custom Actions — connect the agent to the apps your customers already use, so it actually does things in those tools rather than describing them.

Together they move CustomGPT from "knowledge chatbot" toward "operator that gets a job done end to end."

The foundation it's built on

What makes an acting agent trustworthy is the retrieval layer underneath, and this is where CustomGPT has staked its reputation:

• It's a no-code platform: upload files, point it at your website, or connect a knowledge base. CustomGPT says it supports 100+ data sources and 1,400+ file formats (PDFs, Office docs, sheets, code, audio/video transcripts).
• Its anti-hallucination RAG core answers from your content, with every response carrying a citation to the exact source and a reported sub-1% error rate.
• In a benchmark of 945 questions across nine datasets (reported via PR Newswire), CustomGPT said it beat a leading OpenAI baseline with a ~10% lower hallucination rate and ~13% higher accuracy.
• The company reports being trusted by 10,000+ organizations, naming MIT, Adobe, Dropbox, Medtronic and the United Nations.

An agent that acts is only as safe as the facts it acts on — grounding every step in cited, retrieved content is what keeps "Plan & Act" from amplifying mistakes.

Why it's more than "another chatbot"

Here's the practical angle: when a prospect says "I already use ChatGPT," the honest answer is that a general chatbot doesn't know your content, can't cite its sources, and won't take actions in your systems. An agent that plans, cites, and executes against your own data and tools is a different product — and a far easier sell than "yet another chatbot." That's the story for marketing teams, product teams pulling insights from existing agents, and finance teams that need executive-ready deliverables, not summaries.

Things to keep in mind

• An agent that acts needs guardrails. Giving an AI the ability to create files, hit external services, and run actions means scoping its permissions and reviewing high-stakes steps — treat it like any automation with real access.
• Verify on your own content. Benchmark accuracy is encouraging, but test it against your actual documents and questions before trusting it with customer-facing work.
• It's a commercial platform — match the plan to the scale of what you're automating.

Bottom line

CustomGPT's Enterprise Agent is a genuine step from answering to doing: Plan & Act mode, Smart Tasks that produce real deliverables, and Custom Actions that connect to the tools you already run — all on a citation-backed, anti-hallucination retrieval core. If your current "AI" just answers questions, this is the upgrade that lets it finish the job. Try it on your own content and see how much of the work it can actually carry.

Try CustomGPT.ai

Sources and further reading