AI Copilots
A separate AI tool your team has to switch to rarely gets used for long.
Why It Matters
A copilot lives inside the order screen, the document editor or the spreadsheet your team already opens every day. There is no separate app to remember, no new login, and no extra step. The suggestion appears exactly where the next decision needs to be made.
Every suggestion sits as a draft, visibly separate from the record itself, until it is accepted. This keeps the copilot useful for speeding up routine steps without ever quietly changing something a person did not actually approve.
Before a single suggestion appears, we study how the field or step was actually filled in the past, for the customer, item or situation at hand. The suggestion reflects your own history, so it starts useful rather than generic and needing correction every time.
The suggestion appears next to the field or step it relates to, inside the tool your team already has open. There is no separate panel to check or extra window to manage. The copilot is part of the existing interface, sized and placed to stay out of the way until it is useful.
Three clear actions sit on every suggestion, and none of them happen automatically. Accepting applies the suggestion as entered, editing lets the person adjust it first, and dismissing removes it without a trace. The record is only ever changed by the person's own action.
Suggesting values for fields your team fills in the same way most of the time, from past records.
A first draft of a quote, email or report, ready for the person to edit rather than start from blank.
Flagging an unusual value or a missing step while the person is still on the same screen.
Suggesting a price or discount based on similar past transactions, left for the person to confirm.
Surfacing the related record, history or note that would otherwise need a separate search.
A suggested response to a customer or colleague, based on how similar messages were answered before.
We identify the field, draft or check that your team fills in the same way most of the time.
We look at your own past data to see what a good suggestion actually looks like for that step.
We embed the suggestion directly into the existing screen, alongside the field it relates to.
We pilot it with a small group and adjust based on when they accept, edit or dismiss it.
We extend it to more fields or screens once the first one is proving useful.
Completion of routine entries
New tool for your team to learn
Blank-page starts on drafts
Application of your own patterns
Because it fits the existing habit
We build ERP and business software, so we can embed a copilot into a real screen, not a demo.
The copilot is designed so nothing is saved without the person's explicit action, by principle.
Suggestions are grounded in your own historical data, not a generic guess.
A small group tests it first, and we tune it based on how they actually respond to suggestions.
We choose the approach that fits your data and hosting rules, with no lock-in to one vendor.
An AI copilot is a suggestion layer built into a tool someone already uses, such as an order entry screen or a document editor. It proposes the next field, a draft paragraph or a check to run, right where the work is happening, and the person accepts, edits or ignores the suggestion.
An agent carries out a task across several steps on its own, checking in for approval where needed. A copilot works inline, one suggestion at a time, inside a screen a person is already using, and the person stays in control of every step.
Any tool your team already uses that has an interface or API we can extend, including your ERP screens, a document editor, a spreadsheet or an internal web application.
No. A copilot proposes, it does not commit. Every suggestion sits as a draft until the person using the tool accepts, edits or dismisses it, so the final action always belongs to a human.
Suggestions are tuned to appear only where they save real time, and the feature is designed to be easy to dismiss or turn off for a given field or task. We adjust the frequency based on how your team actually uses it after launch.
A copilot for one workflow, such as order entry or quotation drafting, usually takes four to seven weeks, depending on how the target tool is built and how it can be extended.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical look at where a copilot would help first.
