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Which deals are at risk this quarter, and why?
SM3 deals at risk · ₹21.4L
14% of this quarter's ₹1.5Cr pipeline
Acme Retail
No reply in 19 days
Northwind Labs
Project 18% over budget
Globex India
2 open billing tickets
Questions teams ask TriostackOne AI
Most AI tools only see the app they sit in. TriostackOne AI sits on the platform itself, so it can use context from across your business to answer, predict and act, after checking what the person asking is allowed to see.
Your apps
Shared data model
Customers, people, projects and money, linked across every app.
Roles & permissions
Every request is checked against what the user can access.
TriostackOne AI
Reasons over connected records to answer, predict, draft and suggest.
What you get
Shared data model
Customers, people, projects and money, linked across every app.
Roles & permissions
Every request is checked against what the user can access.
TriostackOne AI
Reasons over connected records to answer, predict, draft and suggest.
From quick answers to early warnings, each capability is built for the work your teams already do every day.
Ask a question in plain language and get an answer drawn from CRM, Finance, Projects, HRMS and the rest of the suite, with links to the records it used.
Which deals closing this month have no next step?
Who is on leave next week in Delivery?
Deal health, cash-flow outlook and delivery risk are scored from live data, so you can act before a number turns red.
AI suggests the next step inside your existing workflows, such as routing a ticket, assigning a course or creating a follow-up, and runs it once you approve.
Emails, WhatsApp replies, ticket responses, job descriptions, course outlines and web copy start as a draft you edit, not a blank page.
Draft
Hi Rahul, thanks for your time on Tuesday. As promised, here is the revised proposal for the 2-year plan
Unusual pay-run changes, duplicate expenses and tickets about to breach SLA are flagged with the reason, before they become problems.
Unusual overtime in one pay run, flagged before approval.
Long email threads, ticket histories, call notes and project updates are condensed into the few lines that matter.
Pick an app to see what AI does there, and the kind of question you can ask it.
AI in CRM
Deal health scoring
Each opportunity gets a health signal based on activity, stage age and engagement.
Next-best action
Suggested follow-ups for deals going cold, ready to schedule in one click.
Call & meeting summaries
Logged calls and meetings are summarised against the right contact and deal.
Try asking
Which deals over ₹5L have had no activity in 14 days?
3 deals match, worth ₹21.4L in total.
Acme Retail has the lowest health score: its last reply was 19 days ago.
Sample data, for illustration.
Because every app shares one data model, one event can move through sales, people and finance without anyone re-typing it.
Scenario 1
One conversation carried all the way through the sales cycle.
Wabiz
Detects buying intent in a WhatsApp chat
CRM
Creates the lead and scores it
Drafts a tailored follow-up email
Finance
Prepares the invoice when the deal is won
Scenario 2
An accepted offer starts every step that usually needs four people.
HRMS
Offer accepted, so the employee profile is created
LMS
Recommends the onboarding path for the role
Payroll
Checks the pay setup before the first cycle
Projects
Updates team capacity for upcoming work
Scenario 3
A delivery problem is caught before it shows up in the accounts.
Projects
Flags hours running over budget
Finance
Shows the projected margin impact
CRM
Alerts the account owner before renewal
Desk
Surfaces open customer issues on the account
AI on TriostackOne runs inside the same security model as the rest of the platform. It doesn't get a back door around your roles, and it doesn't act without you.
AI only sees and returns what the person asking is already allowed to access.
AI suggests and drafts. Anything that changes a record waits for a person to approve it.
Answers link back to the records they came from, so you can check the reasoning.
AI-assisted actions are recorded in the same audit trail as everything else.
Workspace admins decide which AI features are switched on, and for which apps.
Business data stays within your workspace's existing access boundaries.
AI is rolling out across the suite app by app. Here's what is arriving now and what is next.
One assistant that answers questions using data from every app you can access.
A health signal on every CRM opportunity, with the reasons behind it.
Automatic category, priority and team suggestions for new Desk tickets.
Unusual changes are flagged before a payroll cycle is approved.
Generate course outlines and quizzes from a topic or document.
A forward view of cash from invoices, bills and payroll.
It's a set of AI capabilities built into the TriostackOne platform rather than bolted onto a single app. Because every Business Suite app shares one data model, AI can answer questions, make predictions and draft content using context from across your business.
No. AI works within the same role-based permissions as the rest of the platform, so it only uses and returns information the person asking is already allowed to see.
AI suggests actions and drafts content. Any change to a record, such as reassigning a ticket or creating an invoice, waits for a person to review and approve it.
AI capabilities are rolling out progressively across CRM, Wabiz, Desk, HRMS, Payroll, LMS, Projects, Finance, Mail and Website. The "What's new" section on this page shows what is available now and what is coming next.
Yes. Workspace admins control which AI features are enabled, and for which apps.
Start free, or talk to our team about how AI fits your workflows.
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