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Splashgain

Your team isn’t slow. It’s buried.

  • Hours of first-reply time that are mostly queue, not work

  • The same ten questions answered a thousand times, written down never

  • An outage sitting underneath forty routine tickets

Hiring more people does not fix it. Stopping the easy tickets from reaching a human does.

Six agents, one ticket queue

Every agent shares the same view of the queue — the same customer history, the same past fixes, the same SLA clock. A ticket that starts on WhatsApp and ends on a phone call never starts over.

Intake agent

Five channels become one queue, with full history attached.

How it works
  • WhatsApp, live chat, email, phone and web form into one queue
  • The customer’s full history attached to every ticket
  • Keep Freshdesk, Zoho, Zendesk or Jira — we connect rather than migrate

Triage agent

The outage hiding under nine separate tickets gets spotted.

How it works
  • Finds the real problem, not the words used
  • Ranks by impact — users hit, money blocked, VIP
  • Pulls up past fixes for the same issue
  • Routes it right the first time
  • Spots the outage hiding inside nine separate tickets

Resolution agent

The easy tickets stop reaching a human at all.

How it works
  • Answers the known ones outright — password resets, order status, how-to
  • Any language, any hour
  • Drafts the rest for your team to review and send

SLA agent

You hear about the breach hours before it happens.

How it works
  • Warns hours before a breach
  • Not a line in next month’s summary

Knowledge agent

The article nobody had time to write gets written.

How it works
  • Spots repeat questions with no article written down
  • Drafts the article from tickets you already solved
  • Shows the payoff in tickets saved per month
  • Flags stale articles when the product changes
  • You approve before anything is published

Insight agent

Repeat complaints reach the product, not another macro.

How it works
  • Tells you what customers keep complaining about
  • So the fix goes into the product, not into another macro

Ready to see it in action?

Or call +91 95525 86428

A ticket, in five steps

  1. 1AI agent

    Capture

    Any channel becomes one ticket.

  2. 2AI agent

    Understand

    What is it, and how urgent?

  3. 3AI agent

    Answer

    Solves it, or drafts a reply.

  4. 4Your team

    Approve

    They review and send.

  5. 5AI agent

    Learn

    Saves the fix for next time.

Step four is yours. You choose what an agent may send on its own — most teams start with everything reviewed.

The numbers you were quoted, and the ones you will get

  • 41.2%

    Median tier-1 ticket deflection across enterprise CX programmes. The top quartile reaches 58.7%.

    HappySupport, Deflection Rate Benchmarks 2026
  • 22%

    The median in independent surveys — against the 30–60% vendors advertise. Ask which number you are being quoted.

    DevRev, Ticket Deflection 2026
  • 55–70%

    Realistic first-contact resolution in year one. The 70–85% figure is real, but only with deep integration into your systems.

    Lorikeet, Resolution Rate Benchmarks 2026

Published industry research, read September 2026. These are figures about the market, not Splashgain results — our own numbers are the ones on the navy bands.

Deflection is not resolution. Deflection counts the conversations a human never touched. Resolution counts the problems that were actually solved. A vendor quoting one number is usually quoting the flattering one — ask which.

Ready to see it in action?

Send us 90 days of your tickets — we'll tell you how many an agent could answer.

Or call +91 95525 86428

The fleet behind these agents

500+

Customers worldwide

17+
Countries served
120+
AI agents and automations running in our own production
2
Cloud regions, monitored 24×7

What support teams ask us first

Do we have to replace our helpdesk tool?

No. The agents connect to Freshdesk, Zoho, Zendesk or Jira and work inside the queue you already have. There is no migration.

What stops it inventing an answer?

It answers only from your documentation and your solved tickets. If it does not know, it says so and hands over. An agent that invents a refund policy costs more than it saves.

How much can actually be automated?

It depends entirely on your ticket mix, which is why we measure it before you commit. We read 90 days of your real tickets and tell you how many an agent could answer. If your tickets are mostly complex one-offs, we will say so before you spend anything.

Does anything send without a human seeing it?

Only what you allow. Step four of every ticket belongs to your team, and most customers start with everything reviewed, then widen the agent’s remit as trust builds.

Can we see it working before we buy?

Yes — we run our own helpdesk on this, and we will show you ours, including what it got wrong last week.

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.

  • 22 AI employee roles across 9 departments
  • Eight department packs, and the agents inside them
  • One day from first conversation to one agent live
  • Three commercial models, and what each includes
Download the deck

No cost. Work email and organisation only.

Send us 90 days of your tickets.

We will tell you how many an AI agent could answer — free, before you commit to anything.

Book an Agent Readiness Sprint

Or call +91 95525 86428

Free · 17 slides · PDF

Before you go: meet your 22 AI employees

Which jobs AI can take off your team, and where your people stay in charge.

  • 22 AI employees across 9 departments
  • Input → AI → result, for every role
  • Where your people always decide
  • How to go live in one day

Instant download. Three fields.

No cost. Work email and organisation only.

Book a demo

See it running on your process