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AI helpdesk software that sees more than the ticket.

Rezolo Desk classifies, routes and drafts grounded answers for routine requests across WhatsApp, email and web, brings the full customer view into every conversation, and turns support signals into early visibility on the accounts that need attention.

Request early access hello@rezolo.in
Omnichannel
Email · Chat · Portal · WhatsApp
Grounded AI
Answers from your sources, not guesses
Built for India
DPDP-aware by design

Ticket #48219

Auto-routed

Refund not received for a cancelled order

Ananya Sharma · via WhatsApp · classified on arrival

Category

Refunds · Payment

Priority

High

Order

#RZ-88213

Routed to

Payments

Grounded draft for the agent

Refund was already raised to the original payment method. The suggested reply quotes your refund policy and includes the payment reference so the customer can track it.

Source attached. An agent approves before it goes out.

Why Rezolo

Support AI that shows its working.

Much of the helpdesk market now sells AI by how many conversations it closes on its own. Rezolo Desk is built around a different question: when the AI tells your team something, can they see why?

Every drafted reply names the articles it came from. Every account score shows the signals behind it. Every number on a report opens to the tickets it counts. That matters most where a wrong answer is expensive: a refund promise, a fee deadline, a renewal nobody saw coming.

In the conversation

Replies that name their sources.

Draft with AI writes from your own knowledge base and lists the articles it used beneath the draft. If one of them is past its review date, it is marked overdue before anyone quotes last year's policy. The agent edits, approves and sends.

  • The articles a draft came from, listed on every draft
  • Outdated articles flagged before the reply goes out
  • Improve with AI keeps the agent's own version one click away
Rezolo DeskInbox#48219

Refund not received for a cancelled order

Ananya S. · via WhatsApp · Refunds

HighOpen
Hi, I cancelled order RZ-88213 on 2 September and the refund still hasn't come. It has been 9 days.Customer · 10:42
ReplyInternal note Improve with AI
AI rewrote what you had written.Restore my version
Drafted from:Refund policyRefund timelines by payment methodoverdueThis article is past its review date. Check it before sending.
To +91 98••• ••210WhatsApp

Hi Ananya, your refund for order RZ-88213 was raised on 3 September to your original payment method. Banks usually take 5 to 7 working days to show it. Your refund reference is RFD-20931.

Save draftSend
Ticket view in Rezolo Desk. Demo data.

Across the customer

Account health that explains itself.

Each account score is built from named signals such as SLA attainment, satisfaction and sponsor contact. Rezolo Desk shows how much of the score could be measured, what is pulling it down in points, and the records each signal came from. Signals it cannot measure are listed as not measured, never guessed.

  • Coverage stated in words, so a partial score never passes for a full one
  • Points lost per signal, each with a link to its records
  • Suggestions raised by named rules, with their evidence, to accept or dismiss
Rezolo DeskAccountsAcme Manufacturing

Acme Manufacturing

acme.test

41at risk72% measuredRenewing
OverviewActivityHistorySupportContacts
SuggestedRaised by rules, worst first

Renewal approaching with no review booked

renewal_no_qbr

Renews in 54 days; no meeting logged in 180 days

AcceptDismiss
Healthat risk

Built from 72% of the signal weight: 3 of 5 signals could be measured.

What is pulling this down

  • Sponsor contactLast contact 46 days ago · See the records−30points lost
  • Satisfaction12 responses, 30 days · See the records−8points lost
  • SLA attainment3 of 38 tickets breached · See the records−3points lost

Not measured: Product usage (no usage data connected), Reopen rate (too few resolved tickets)

Account view in Rezolo Desk. Demo data.

Across the desk

Every number opens to its tickets.

Reports tells a manager what needs attention in plain sentences, measured against the lines the team has set, and every figure opens to the records behind it. Ask Rezolo answers questions about the desk with the same figure Reports shows. The number comes from your data, not from the model.

  • Alerts when a figure is past its critical line or getting worse
  • Show the records on every figure, limited to what the reader may open
  • Ask Rezolo says so when it does not know, rather than guessing
Rezolo DeskReports

Reports

How much work there is, how it is spread, and whether targets are being met.

Needs attention

  • Past criticalSLA compliance is 71%, past the critical line of 75%.See which tickets
  • Getting worseReopen rate is 18%, 45% worse than the previous 30 days (from 214 records).See the records

Open tickets

38

SLA compliance

71%

Target 80%

Reopen rate

18%

Last 30 days

3 of 38 shown · What it counts: tickets whose status is not resolved or closed.

  • Refund not received for a cancelled order · open
  • Exchange requested: wrong size delivered · pending
  • GST invoice copy needed · open

Ask Rezolo: How many tickets are open?

Open ticketsSame figure as Reports

38

Tickets whose status is not resolved or closed.

The mechanism behind these screens is described in how grounded AI works.

Reports and Ask Rezolo in Rezolo Desk. Demo data.

Product philosophy

Three rules the product is built on.

The fact first, the AI second.

Account scores and suggestions come from named rules with their evidence attached. Where a model is used, it explains the fact. It never replaces it.

A person sends every reply.

Automation tags, prioritises, routes and assigns. What a customer is told stays with your team.

"Not known" is a real answer.

When there is no source, Rezolo Desk says so and hands over to an agent. A signal it cannot measure is shown as not measured, not scored as average.

See it on your own tickets.

Rezolo Desk is onboarding a selected group of support teams in early access.

Request early access hello@rezolo.in

How it works

Every request, one engine.

Requests arrive on whichever channel the customer prefers. Rezolo Desk takes them in, sorts them by category and priority, and drafts a reply from your own knowledge for an agent to approve.

Rezolo Desk helpdesk flow diagram: customer requests from WhatsApp, an email inbox and a website chat widget enter the Rezolo intake engine, which sorts each ticket by category, priority and owner, then marks it sorted and ready with a grounded reply drafted for an agent to approve.
Intake covers WhatsApp chat threads, email inbox tickets and web widget portal requests. From there the request is sorted by category, priority and routing, then answered with a reply grounded in your own knowledge for an agent to approve.

The modules

Three modules, one support layer.

Rezolo Desk works as a system: resolve the request, understand the customer behind it, then improve the account over time.

Want the full picture? See everything Rezolo Desk does, from channels and AI to support analytics.

  1. 01Resolve

    Helpdesk

    Take the first pass on every request across WhatsApp, email and the web widget: classified, routed, and answered from your own knowledge for an agent to approve.

  2. 02Understand

    Customer 360°

    Bring the customer, the conversation and the full history into every interaction, so agents never ask twice.

  3. 03Improve

    Account Health

    Turn support signals into early visibility on the accounts that need attention before they churn.

What changes

Scale customers, not support workload.

Lower workload

Repetitive requests and manual triage move off the queue and into workflows.

Faster resolution

Requests are classified and routed the moment they land, not when someone gets to them.

Consistent experience

The same answer on every channel, drawn from one source of truth.

Scale without headcount

Grow the customer base without growing the support team in proportion.

Built on trust

Automation you can actually switch on.

Grounded, not guessed

Answers cite your own verified knowledge, and hand over to an agent when there is no source.

Your rules, your data

Tenant-isolated support data, role-based access and an audit trail of every change.

DPDP-aware by design

Built for India's Digital Personal Data Protection Act, 2023 from day one.

FAQ

Helpdesk questions, answered.

Still unsure whether Rezolo Desk fits your support operation? Write to hello@rezolo.in and we'll answer directly.

Rezolo Desk is AI helpdesk software. It pulls WhatsApp, email, chat and web requests into one ticket queue, sorts each one by category and priority, drafts an answer to the routine ones from your own knowledge for an agent to approve, and shows agents the customer history behind the rest.

AI helpdesk software is a ticketing system that reads each incoming request, tags and routes it, and answers the common ones from your own knowledge, so agents spend their time on the tickets that actually need a person.

A traditional help desk stores and tracks tickets while agents do the tagging, routing, lookup and replies. Rezolo Desk does that first pass for you and leaves the exceptions for the team.

WhatsApp, email, live chat and a web self-serve portal, all in one shared inbox with a single ticket history per customer.

Yes. WhatsApp tickets sit in the same queue as email and chat, so a customer who starts on WhatsApp and follows up by email keeps one thread and one answer.

No. Replies come from your verified knowledge and your business rules, with the source attached. When there is no source, the ticket goes to an agent instead of getting a guess.

Support teams with high daily ticket volume and repeat questions, such as education institutions handling fees, admissions and certificates, and e-commerce teams handling order status, refunds and address changes.

Usually yes. You get tickets, queues, assignment and history like any help desk, plus the automation layer. Existing users and past tickets can be moved over during onboarding.

It reads from the systems your answers already live in, so agents and automation work off the same records. We confirm which ones before onboarding.

We start with a small set of your highest-volume request types, connect the systems behind them, then move users and history across. First automated flows typically run in weeks.

Support data is kept separate per customer, access is role based, and every change is written to an audit trail. A person can have their data exported or erased on request. On this website we keep only what you submit, with your consent, in line with India's Digital Personal Data Protection Act, 2023.

Write to hello@rezolo.in. We will understand your requirements first, then guide you on the commercials.

Rezolo Desk

Automate and scale your B2C support operations.

We're onboarding a small group of early teams. Tell us about your support operation and we'll show you exactly which of your repeat tickets Rezolo Desk can take off your queue.

  • A walkthrough mapped to your real ticket mix
  • A focused proof of concept on your priority use cases
  • Early-access input into the product roadmap
  • Direct line to the founding team
Prefer email? Start a conversation at hello@rezolo.in

Your name and work email are enough to start. Anything else you add saves us a round of questions before the walkthrough.

No spam. We only use your details to discuss Rezolo Desk.

Talk to us

Have a support queue you want to fix? Write to us.

Reach out at hello@rezolo.in. We will understand your requirements first, then guide you on the commercials.

hello@rezolo.inRequest early access