AI copilots that work beside your team
An always-on teammate embedded in the tools your people already use — drafting the reply, pulling the right document, prepping the ticket, writing the first pass of code — while a human stays in the loop on anything that matters.
- Embedded in your existing tools
- Grounded in your knowledge
- Suggests, you approve
- Learns from every accept & edit
Assistance at the point of work, not a separate chatbot
A copilot is an agent that rides shotgun inside the apps your team lives in.
Most teams already have a chat assistant in another tab. Almost no one opens it. A copilot is different by design: it shows up where the work is — the reply box in your help desk, the deal record in your CRM, the diff in your editor — and offers the next move before anyone has to ask for it.
Crucially, it doesn't just talk. It drafts the email, assembles the proposal, files the structured ticket, and writes the function — then hands the result to a person for a fast yes/no. The human stays the decision-maker; the copilot removes the blank page and the busywork around it.
Built to do real work, not small talk
Each capability is grounded in your data and gated by your rules.
Drafts in your voice
Replies, summaries, proposals, and release notes — written from your context and prior examples, ready to send after a glance.
Answers from your knowledge
Retrieval over your docs, tickets, and wikis so every answer cites a real source instead of guessing.
Acts in your tools
Updates the CRM, files the ticket, opens the PR — through a governed action layer, never a screen-scraping hack.
Escalates to a person
Low-confidence or high-stakes moments route to the right human with full context, not a dead end.
Surfaces the next step
Recommends the action, flags the risk, and shows its reasoning so the person can decide fast.
Logs every suggestion
Accepted, edited, or rejected — each interaction is captured for review, tuning, and audit.
From keystroke to approved action
The loop that runs behind every suggestion.
Sense
The copilot reads the live context — the open ticket, the email thread, the code in front of the user.
Ground
It retrieves the relevant policy, doc, or prior case from your knowledge base and cites it.
Propose
It drafts the reply or action and presents it in-place, with reasoning and a confidence signal.
Confirm
A human approves, edits, or rejects in one click — and that choice trains the next suggestion.
Suggests by default, acts only with a yes
A copilot's superpower is restraint. Reversible, low-risk steps can run on their own, but anything that touches a customer, moves money, or can't be undone waits for a person. The approval surface is the product, not an afterthought bolted on at the end.
Every gate is configurable per action and per role. As trust builds and the accept rate climbs, you can widen what the copilot handles unattended — or tighten it instantly. You decide where the line sits, and the line is enforced in code, not in a prompt.
- Per-action and per-role approval gates
- Confidence thresholds that escalate edge cases
- Full decision lineage for every accepted action
A bolted-on chatbot vs. a real copilot
Why placement and action change everything.
| A chatbot in a tab | An Automatic.co copilot | |
|---|---|---|
| Where it lives | A separate window | Inside the tool you're already using |
| What it produces | Text you copy-paste | Drafts and actions in place |
| Grounding | General model knowledge | Your docs, tickets & code, with citations |
| Control | Send and hope | Approve, edit, or reject before it ships |
| Improvement | Static | Learns from every accept and edit |
Frequently asked questions
How is a copilot different from a fully autonomous agent?
A copilot proposes; a person disposes. It does the heavy lifting — drafting, retrieving, executing reversible steps — but routes anything consequential to a human for a one-click approve, edit, or reject. Autonomous agents close the loop themselves; copilots keep a hand on the wheel.
Where does a copilot actually live?
Inside the tools your team is already in — your CRM, help desk, IDE, ticketing system, email, or a side panel in your own app. We embed it where the work happens so adoption isn't a separate tab people forget to open.
Does the copilot learn from how our team works?
Yes. It's grounded in your docs, tickets, and code via retrieval, and every accept/edit/reject becomes a signal. We tune prompts, examples, and routing thresholds against that feedback so suggestions get sharper without retraining a model.
What stops it from saying something wrong to a customer?
Copilots draft into a review surface, not straight to the customer. High-stakes actions sit behind approval gates, answers cite their sources from your knowledge base, and confidence thresholds escalate anything shaky to a person.
Put a copilot where your team already works
Pick one workflow — support replies, sales follow-ups, or code review — and we'll show you a grounded, human-approved copilot running in it.