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Customer Support

Scale support without scaling headcount

Support volume grows faster than teams can hire. Padiso agents resolve the routine and escalate the rest, with humans approving sensitive actions.

The real cost of the status quo

You know exactly where the day goes

  • 1Volume grows faster than the team can hire
  • 2Routine tickets crowd out the ones that need a human
  • 3Sensitive actions need oversight you cannot scale by hand

Time bleeds away

Skilled people spend their day on repetitive operations instead of the work only they can do.

Coverage has gaps

Work stops when the team logs off. Nights, weekends, and spikes go uncovered.

Handoffs cause errors

Every manual copy between systems is a chance to introduce a costly mistake.

The evidence · 2025-26

The numbers behind agentic operations

You don't have to take our word for it. Here's what the analysts and operators are reporting right now.

Likely ROI in customer support

Most teams reach payback within a quarter or two of going live.

Padiso estimate, based on typical customer support back-office workloads: hours saved on repetitive work, fewer errors, and coverage that no longer needs extra headcount. Your mileage depends on volume and the processes you automate first.

Estimated payback3-6 months
Back-office work automatable40-60%
Coverage24 / 7
Real-world proof · 2025

It already works at this scale

Not a demo. A team in the same kind of work, with results they published.

Klarna logo

Klarna

Customer service

Reported 2025

By Q3 2025, Klarna’s AI assistant was doing the workload of around 853 employees and driving an estimated $60M in savings, while keeping resolution times a fraction of human handling.

$60M

estimated savings

853

employees’ worth of work

2/3

of support chats

Klarna · Reported 2025

The strongest results come from scoped use cases with connected data and clear KPIs, and from keeping humans in the loop on the hard cases. That is exactly the model Padiso is built around.

Your customer support agent team

A coordinated team of specialist agents, each connected to your tools, all working toward one goal.

Goal: run customer support operations
TA

Triage agent

working

Classifies and routes every incoming ticket instantly.

Connected
slack
notion
google-drive
RA

Resolution agent

working

Answers common issues and processes routine requests.

Connected
github
linear
airtable
EA

Escalation agent

working

Hands off hard cases with full context attached.

Connected
salesforce
dropbox
zapier

What the team ships

Ticket triage and routingAutomated resolutionSmart escalationMacros and knowledge upkeep

How Padiso works in customer support

  1. 1

    Spot the busywork

    Start with the repetitive customer support work that drains your team.

  2. 2

    Hire your agent team

    Specialists like Triage agent and Resolution agent.

  3. 3

    Connect your systems

    Agents reach your existing tools and records through MCP.

  4. 4

    Approve & run

    You approve the calls that matter. Agents handle the rest, 24/7.

90%

of routine tickets handled

Run your business on agents.

Start free, or talk to us about putting an agent workforce to work across your operations.