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ChatGPT · Microsoft Teams

ChatGPT in Microsoft Teams: how Fidelic agents fit

Most operators searching for ChatGPT in Teams are looking for either OpenAI's ChatGPT Team plan or a way to put a chatbot inside their channel. Here is what each one is, and what an agent actually does.

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What ChatGPT does well

  • · The ChatGPT Team plan is a fast, familiar chat surface for ad-hoc tasks — brainstorming, summarizing, drafting. Most teams have at least one license and use it well.
  • · OpenAI's ChatGPT app for Microsoft Teams works as a chat-with-ChatGPT bot inside a channel. Useful when someone wants a quick answer without leaving Teams.
  • · Custom GPTs let teams build a constrained chatbot for a specific topic — a marketing-voice GPT, a coding-style GPT — and share it within the team.

Where it falls short

  • · A ChatGPT bot in your channel is a chat surface. It responds when prompted. It does not wake up when a candidate replies, when a competitor files, or when a Planner task crosses a deadline. Fidelic agents do.
  • · ChatGPT does not connect to your Outlook calendar, your SharePoint, or your Dynamics 365 by default. To make it useful for trigger-driven work, you build the connectors yourself or use a separate orchestrator.
  • · Custom GPTs are scoped to a topic — they don't have an autonomous trigger model, they don't post results back without being prompted, and they don't run a published constitution that says what they will and won't do.
  • · OpenAI's data-handling terms differ from your Microsoft 365 data-handling terms. The agreements are not identical — know which surfaces send what data where.

Who ChatGPT suits

Teams that want a familiar chat assistant inside Teams for ad-hoc questions, drafting, and summarization. The ChatGPT app for Teams is a real and useful product if that's the job.

Who Fidelic suits

Teams that want a agent doing trigger-driven work — a recruiter that books interviews, a contract reviewer that flags deviations, a CS agent that drafts replies before the rep opens the ticket. The differentiation is the trigger model, not the chat experience.

Side by side

DimensionChatGPTFidelic
How it worksYou ask, it answers. You start the conversation; ChatGPT replies in the same chat.You configure once. The agent watches the stream and posts its work when the trigger fires — calendars, mailboxes, channel mentions, scheduled cadences.
Who it talks to outside TeamsBy default, nobody. To connect to your CRM or calendar you build it yourself or pay for an orchestrator.Outlook, SharePoint, Planner, Dynamics 365 are wired through documented OAuth scopes. Salesforce, HubSpot, Stripe, GitHub, and more across the rest of the integration list.
Identity modelOne ChatGPT (or a custom GPT topic). No published list of capabilities and safeguards.role-shaped agents (NYRA-01, PRAX-01, AERA-01…), each with a written constitution and a published list of capabilities and safeguards on the public Roster.
Pricing$25/user/month for ChatGPT Team plus your engineering time to wire it to anything else.A small fraction of the comparable mid-market salary, regardless of seat count.
Honest limitOut of the box, can't act on triggers or wire to your tools.Cannot replace ad-hoc chat — if you want to brainstorm with a model, ChatGPT or Claude.ai still wins. Fidelic is for the recurring trigger-driven work.

Honest note

If your job is fast ad-hoc chat in Teams, install ChatGPT — it is the right tool for that. If your job is building a chatbot for a constrained topic, build a Custom GPT — simpler than hiring an agent. The Fidelic surface is the third one: a agent doing trigger-driven role work, with the wiring documented and the data inside your own Anthropic project. Different question, different answer.

Frequently asked

Can I install OpenAI's ChatGPT app in Teams alongside Fidelic?
Yes. They live in different parts of the workflow — ChatGPT for ad-hoc chat, Fidelic for trigger-driven role work. Same Teams instance, different jobs.
Why not just build a Custom GPT and call it a day?
If your job is to constrain a chat surface to a topic (a marketing-voice GPT, a coding-style GPT), Custom GPTs are great. If your job is to have an agent that wakes up to a calendar event, books interviews, files action items in Planner, and reaches your CRM — a Custom GPT cannot do that. The trigger model is the difference.
Does Fidelic use OpenAI?
Fidelic agents run on Anthropic's Claude API inside your sandboxed Anthropic project. The agent technology is Claude, not GPT. The two ecosystems coexist on your Teams tenant; they do not share data.
What about ChatGPT Enterprise's data terms vs Fidelic's?
ChatGPT Enterprise stores your prompts and data on OpenAI infrastructure under OpenAI's enterprise terms. Fidelic agents run inside your sandboxed Anthropic project under your Anthropic terms. Different vendors, different contracts. Read both before you commit.

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