Customer Success, Workforce Signal And Spend Agents
The AI Platform for the Frontline Workforce · AI built into every workflow, not bolted on
Mango CS, Mango Signal, and Mango Spend answer questions from your own data — at-risk accounts and renewals, workforce sentiment, and expense approvals — under the asking user's permissions.
Where Customer, People And Spend Teams Lose Time To Routine Work
Renewals, engagement and expenses are high-value work bottlenecked by low-value lookups. CS teams react to churn signal too late, engagement themes sit scattered across apps, and approvers chase reports. AI absorbs the lookups so the strategic work has room.
Handoffs Lose Context
A deal closes and the promised outcomes, the champion, and the pain points stay in the salesperson's head. The CSM starts the relationship from a blank page.
Churn Signal Arrives Late
A customer's usage drops in March. The CS team learns about it in May, when renewal is six weeks away. By then the conversation is about price, not product.
Engagement Themes Get Scattered
Pulse survey results, recognition patterns, and feed comments each carry a theme, but they sit in different apps. Nobody on the people team sees the pattern until it shows up in attrition.
Expense Approvals Wait In A Queue
Receipts pile up until month-end, and approvers chase reports one at a time. Finance finds out what is unpaid long after it was incurred.
Agents In The Library
Specialized agents covering customer renewals, workforce sentiment, employee expenses, and sourcing.
Mango Signal
Mango Signal Agent — engagement health, recurring sentiment themes, and at-risk segments, aggregated by company, location, or segment and never one person's sentiment.
Mango CS
Mango CS Agent — at-risk accounts, account health breakdowns, the renewal pipeline, and expansion candidates, answered from your data.
Mango Spend
Mango Spend Agent — draft expense reports, see what waits on your approval, track unpaid reimbursements, and push approved reports to accounting. Nothing submits until you confirm it.
Supplier Hub Agent
Supplier Hub Agent — ask about vendors, RFQs, quotes, and vendor performance without leaving the platform.
Where Each Agent Gets Its Answers
Mango CS, Mango Signal, and Mango Spend read the records already inside the platform, so there is no separate integration to keep in sync. They follow the same access policies as the people who ask.
- Mango CS — account health blends product usage, CSM engagement, support load, contact sentiment, and contract timing.
- Mango Signal — reads signals from Surveys, Recognitions, Performance, Shift Feedback, and the Communications feed.
- Mango Spend — receipts, policy checks, multi-level approvals, and payroll-ready export.
- Key writes are confirmed first — expense submissions, account changes and sentiment actions ask before they happen.
Account Health In Time To Act On It
Mango CS scores each account's health from product usage, CSM engagement, support load, contact sentiment, and contract timing. The Mango CS Agent answers which accounts are at risk and what is renewing, and the account page can generate a call briefing from the underlying data. CS teams arrive at the renewal conversation with a story, not a guess.
- Health scored from five components — not a vendor black box.
- At-risk accounts on request — ask which accounts are sliding and what renews next quarter.
- Briefings on demand — Generate Briefing on the account page summarizes the account from your actual data.
- Renewal quotes — a renewal quote generates as the same proposal type used at first sale.
Capabilities Beyond Agents
AI services that support these teams across the platform.
AI Sheets
AI Sheets workflow — generate, transform, and analyze account and renewal data without leaving the platform. Useful for ad-hoc analyses.
Compensation AI
Your own pay in plain language, and opt-in below-band equity alerts for admins.
AI Workflow Generator
Describe a workflow in plain English — AI workflow generation builds the steps and conditions. Useful for handoff and approval rules.
AI Translation (39 Languages)
For multinational teams — translate posts, messages, and documents into 39 languages.
Customer Data Stays Where It Belongs
Every agent on this page follows the same governance model: customer-specific data boundaries, permission-aware access, and confirmation before any write. Data stays within approved business and role boundaries.
- Customer-specific data — your accounts, engagement results, and expenses stay within approved boundaries.
- Permission-aware access — each agent follows the signed-in user's existing access.
- Logged requests — every tool call is logged with the requesting user and the tool; the AI request log keeps detail for 30 days.
At our head office within HR, marketing, and finance, we use ChatGPT quite a bit, and MangoApps AI Helper is a useful tool for us. As I go around to the stores, I’ve been showing them how the AI Intranet Helper can find things and answer plain language questions about our resources, and they’re quite excited about that.
Alison van Zijl
Head of Human Resources
Full House
Customer Success
Customer Success And Spend Teams Operationalizing AI
Customer Case Studies
Customer Case Studies
Customer Case Studies
Customer Case Studies
Customer Case Studies
Customer Case Studies
Frequently Asked Questions About AI For Customer Success & Spend
Mango CS (accounts, renewals, and handoffs), Mango Signal (workforce sentiment and engagement), and Mango Spend (employee expenses). Each answers under the asking user's permissions, and the key writes ask for confirmation first.
No. The agents follow the calling user's existing access, so they cannot surface data outside the user's authorization.
No. There is no per-region control on agents today. MangoApps is hosted in the US; a UK region is planned. What an agent can reach is set by the signed-in user's role and permissions.
Mango CS scores each account's health from product usage, CSM engagement, support load, contact sentiment, and contract timing. Ask the Mango CS Agent which accounts are at risk or what is renewing and it answers from those scores; it leaves account owners, stage and the at-risk flag to the CSM, and every change it makes — an activity, a share, a Success Center message, a project update — asks you first.
Yes. AI App Builder turns a plain-language description into a working agent. The custom agent joins the same governed library as Mango CS and follows the same permission model. See AI App Builder.
Let's Talk
Every team. Every employee. Every workflow. One AI platform — built for the frontline. Since 2008, trusted by 2 million+ users with an NPS of 78.
Why Choose Us?
- Frontline AI: Governed AI for every employee and workflow.
- Top Security: HITRUST, ISO & SOC 2 certified.
- Exceptional UX: Delightful on mobile and desktop.
- Proven Results: 98% customer retention rate.
Rolled out to every employee at AutoZone (125,000), PetSmart (50,000+), A.S. Watson and Raley's (20,000) — and at larger retailers we are not permitted to name.
