Account health agent
Every account scored, with the evidence behind the score.
- Combines usage, ticket history, payments and engagement
- The weights are yours, and visible
- Explains every change in plain words
AI agents for customer success. Spot churn before renewal.
Watch usage, tickets and renewal dates across every account. The agent flags risk early and drafts the check-in; your account manager decides what to say.
The everyday problem
The renewal call is where you learn they left months ago.
Usage dropped in March, and nobody was looking
Three unresolved tickets sat behind the renewal
The person who bought it changed jobs
The renewal date turned up in an old invoice
By the time the risk is visible, the decision is already made.
What it does
Six agents, one role
Early warning agent
Risk flagged weeks before renewal, not on the call.
- Usage drops, repeat complaints and overdue invoices
- Contact departures spotted from bounced emails
- Sent to the owner with a suggested next step
Renewal calendar
No contract renews or lapses by surprise.
- Renewal and notice dates pulled from contracts and invoices
- Reminders at 90, 60 and 30 days
- A renewal summary prepared for the owner
Check-in drafting
The check-in email mentions what actually happened.
- Drafted from the account’s recent usage and tickets
- Approved or edited by the account manager
- Never offers a discount or commitment on its own
Onboarding tracker
New customers reach first value on schedule.
- Tracks the setup milestones you define
- Chases the stuck step, on either side
- Tells the owner when onboarding stalls
Account review brief
Quarterly reviews prepared in minutes, not an afternoon.
- Usage, open issues and renewal status on one page
- Expansion signals listed with their evidence
- Ready before the meeting invite goes out
Ready to see it in action?
Share usage and ticket exports for twenty accounts — we send back a ranked risk list with the evidence for each.
Or call +91 95525 86428
What changes
Before and after
Today
Churn risk
Found at renewal
Renewal dates
In someone’s spreadsheet
Check-in emails
Generic, when remembered
Quarterly reviews
An afternoon of slides
With the agent
Churn risk
Flagged weeks earlier
Renewal dates
Tracked, with reminders
Check-in emails
Specific, drafted on time
Quarterly reviews
A brief, already prepared
How the work moves
Who does which step
- 1AI agent
Watched
Usage, tickets and payments read every day.
- 2AI agent
Scored
Account health updated, changes explained.
- 3AI agent
Flagged
Risk sent to the account owner.
- 4Your team
Decided
The owner chooses the action and the message.
- 5AI agent
Followed up
Reminders until the action is closed.
Where it stops The agent watches, flags and drafts. Pricing, discounts, contract terms and anything said to a customer stay with your account team.
Proof
The scale behind these agents
500+
Customers worldwide
- 17+
- Countries served
- 35+
- AI agents running in our own production
- 100%
- Platform uptime
Questions we are asked
Before you commit
What data does it need?
Whatever you already have: product usage logs, the helpdesk, invoices and the CRM. It starts with the two or three sources that exist and gets sharper as more are connected.
Can it predict churn?
It flags the patterns that usually come before churn, with the evidence shown, rather than promising a prediction. Your team judges each flag, and the weights are tuned on your renewal history over time.
Will it message customers directly?
Not by default. It drafts check-ins for the account manager to approve. You can allow routine reminders, such as onboarding steps, to send without approval.
We have few customers. Is it worth it?
It pays off most when one person manages many accounts, or when renewals are annual and easy to forget. With a handful of accounts, the renewal calendar alone is usually the useful part.
Where does customer data stay?
On your infrastructure or a cloud region you choose, under your retention rules. It is never used to train a public model.
Where to go next
AI agents
Agents for enterprises
Sales, HR, finance and IT agents plus WhatsApp, chat, email and voice — branded as yours, connected to the systems you already run.
Support
AI employee for the helpdesk
Six agents that capture, triage, answer, warn on SLA and document your tickets — inside the helpdesk tool you already use.
Start here
Agent Readiness Sprint
Two weeks, one working agent on your own data, and a costed plan for the rest — before you commit to a programme.
Free presentation · 13 slides · PDF
Take the deck to your leadership team
The presentation we walk boards and CXOs through — thirteen slides on what deploying AI agents actually involves, from the roles to the guardrails to the commercials.
- The eleven AI employees, and the job each one holds
- Eight department packs, and the agents inside them
- Six weeks from first conversation to one agent in production
- Three commercial models, and what each includes
Download the deck
No cost. Work email and organisation only.
Find the quiet accounts first.
Twenty accounts, one ranked risk list, the evidence beside each. Check it against what your team already knows.
Book an Agent Readiness Sprint
Or call +91 95525 86428