Domino picks the tasks that matter, prepares them and runs them on demand, based on your CRM, your documents and what your team knows about its customers. Your know-how becomes a multiplied advantage: every seller moves forward with a whole team at their side.
Every seller starts the day with explained priorities, not a list of follow-ups.
Why now · Meeting with leadership on Thursday. The proposal sent has had no reply.
Your sellers already use AI, each on their own. They save time, but the team’s work stays the same. Here’s why, and what Domino does differently.
Account history, latest exchanges, team goals, deal status: the right next step depends on all of it at once. A chat assistant only sees the piece you paste into it. Domino cross-references this information with the right tools to suggest the best-informed decision.
Today, AI lives in a chat window and returns a block of text to copy. Sales work happens in tables, records and pipelines. Domino puts AI into those screens. The chat is still there to dig deeper.
Your qualification criteria, your knowledge of customers and the market, what worked on past deals: Domino uses it in every preparation, for the whole team.
In a chat assistant, everyone works alone and nothing is shared. In Domino, you mention a colleague on an analysis, comment on a quote, pick up someone else’s work. Every app is a shared workspace.
Every request, every source used, every result and every action is logged and reviewable. Actions on a customer or in the CRM require approval. No more shadow AI.
Domino suggests the next useful action for every account. Here’s how it picks one, and how you keep the decision.
Team and individual goals, CRM history, latest emails, upcoming meetings, results of past tasks: Domino re-reads the whole account before suggesting anything.
Domino picks the action that moves the deal forward, then the tool that can carry it out, including the ones you’ve built.
The reason fits on one line, and the sources are cited: the email, the CRM record, the relevant exchange. You can ask “Why?”, challenge it, or pick another path.
Preparing, analyzing, researching: Domino does it on demand. Sending an email, editing the CRM, booking a meeting: it first shows you what will go out, and waits for your approval.
An email sent isn’t a deal moving forward. Domino waits for the reply, watches the deadline, then comes back with the next step when something moves.
Follow up with Thomas Bernard on the March quote
Why?
Thomas opened the quote 3 times this week without replying; the renewal is due on the 15th.
Our quote — your questions?
Hi Thomas, I see the March 12 quote is still open. Two points are worth discussing before your committee on the 15th — I suggest a 20-minute call.
Examples:
Transcribes, scores against your method, captures objections and commitments. Next steps land in the account.
Reads the tender documents, checks your certifications and references, gives a reasoned one-page opinion.
Reads the request, applies your customer discounts and floor margins, prepares the quote for approval.
Compares three insurers’ coverage for this client, in light of past claims.
In one conversation, Domino builds the app, connects it to your data and tests it on your files. It then plugs into Domino’s workflow: its results feed your accounts and the whole team’s next tasks.
In plain language, from a real file. “For every tender received, check our certifications and references, then give an opinion.”
It identifies the useful data, your business rules and the right screen for the job. You adjust in conversation.
The app runs on your real cases before being shared. Nothing is sent, nothing is changed.
Shared in one click, it shows up in accounts right when it’s useful.
The Forge is included in the subscription. A manager or seller creates an app in one conversation, tests it, then shares it with the team.
Our experts scope the need with your teams, build the most demanding apps and evolve them with you.
Talk to an expertAn expert analyzes how your team uses AI today, its friction points and bottlenecks. They then configure Domino around clear goals, with the tailored tools your team needs.
Your sellers already use ChatGPT, often with customer data. Others hack together scripts no one will maintain. With Domino, your team’s AI goes through a single workspace.
Team and individual goals shape everyone’s priorities.
Each member only sees the data they’re entitled to.
What AI prepared, what was approved, what went out.