memsolus
Usecase — Customer Support

Support that already knows
the customer,
every contact

Agents with persistent memory that resolve on the first interaction — no context repetition, no unnecessary transfers.

+35pts
FCR (first contact resolution)
-55%
Resolution time
-60%
Unnecessary transfers
Ticket #4821 — MemSolus Support
Contexto carregado
#4821 · Bruno Almeida · Plano Pro
Erro na importação de extrato bancário
Alta prioridade
Memória do cliente carregada
3 tickets anterioresBanco X — formato não padrãoPadrão recorrente detectado
Resposta do agente

Bruno, identifico que este é o terceiro ticket sobre importação em 2 meses. As tentativas anteriores reiniciaram a integração temporariamente. O formato do arquivo do seu banco é uma variante não padrão — vou encaminhar para engenharia com contexto completo para resolução definitiva.

padrão identificado via histórico
Resolvido na primeira interação
Tempo: 47s
Problem

The cost of support AI
without memory

01

Customer repeats context

Every interaction starts from scratch. The customer has to re-explain the problem — the top frustration factor in support, above even wait time.

02

Knowledge that dies with the ticket

Every resolved ticket contains valuable information. Without structured memory, that knowledge dies when the ticket closes and the next agent starts from zero.

03

Transfers that frustrate

When a customer is transferred, they have to re-explain everything to the new agent — amplifying frustration and reducing the chance of a satisfactory resolution.

Features

Three ways memory transforms support

01

Resolution with Full Context

The agent accesses the customer's full history: previous tickets, attempted solutions, and preferences.

Memsolus provides the agent with complete customer context before the first response: how many tickets were opened, what the last issue was, which solution was applied, and whether it recurred. With this context, the agent skips basic diagnosis and goes straight to the solution.

Use case scenario

Bruno opened his third import ticket in two months. Previous agents restarted the integration as a temporary fix. The Memsolus agent detects the pattern and routes directly to engineering — without repeating the same palliative solution.

Histórico do cliente — Bruno Almeida
Tickets anteriores
#4819Importação de extrato
recorrente
#4802Erro na integração bancária
resolvido
#4788Problema importação extrato
resolvido
Padrão detectado
Formato de arquivo do Banco X é variante não documentada. Encaminhar para engenharia com contexto completo.

Escalonamento inteligente — Carla
1
Detecçãoauto
3 tentativas · alta urgência · plano Enterprise
2
Escalonamentoauto
Especialista sênior · contexto completo enviado
3
Resoluçãofast
15 min · cliente satisfeito · sem repetição
02

Intelligent Escalation

Detects frustration patterns and complexity in real time. Escalates to the right specialist with full context.

Intelligent escalation works in two dimensions: it detects when a problem exceeds the agent's capacity and, when escalating, sends full context to the specialist — who picks up where the agent left off, without duplicating effort.

Use case scenario

Carla, an IT manager, has a critical data sync issue. Memsolus detects: Enterprise plan, three failed attempts, high urgency. The senior specialist joins the conversation with full context and resolves it in 15 minutes.


03

Living Knowledge Base

Learns from every resolved ticket and automatically surfaces solutions for similar future cases.

When an agent resolves a problem, Memsolus structures the solution and makes it available for semantic search in future tickets. The next time a similar issue appears — even described in different words — the agent receives suggestions based on real resolution history.

Use case scenario

A new agent receives their first ticket about PDF export timeout with over 500 records. Memsolus identifies 6 similar cases from the past two months and presents the solution pattern. The agent resolves it in 8 minutes.

Base de conhecimento viva
timeout PDF export large records
Soluções similares encontradas
Timeout PDF export large dataset
98%
Export settings > 500 records timeout
94%
PDF generation advanced config
87%
Novo conhecimento registrado após resolução
Measurable impact

Results that
transform support

Support teams implementing persistent memory report significant improvements in key quality and efficiency metrics.

View Documentation →
+20-35pp

Percentage points gained in first-contact resolution rate.

-35-55%

Reduction in average resolution time with full context on first contact.

-40-60%

Reduction in transfers and escalations with intelligent routing.

+20-30pts

Increase in satisfaction score with contextual, no-repeat support.

-40-50%

Reduction in time for new agents to reach full productivity.

-25-40%

Reduction in repeat ticket volume with a living knowledge base.

TypeScript
Technical integration

Works with your current platform

REST API

Complete endpoints to create, search, and manage memories per customer, ticket, and agent. Compatible with any helpdesk.

Zendesk · Intercom · Freshdesk
Native MCP

MCP server to connect Memsolus directly to compatible agents without additional code. Integration in minutes.

Claude · GPT-4 · Gemini
Webhooks

Real-time sync — memories created when tickets are resolved, context injected when new tickets are opened.

Real time
SDKs

TypeScript for Node.js and React backends. Python for ticket analysis pipelines and automations.

SOC-2 · GDPR
Why MemSolus

Memory that turns every
interaction into a definitive resolution

First-contact resolution

The agent knows the full history before responding — no repeated diagnosis, no palliative solutions that come back.

Living knowledge base

Every resolved ticket feeds the base. Institutional knowledge grows with use — new agents resolve at the speed of veterans.

Scale without proportional cost

Sub-150ms latency for context retrieval. Personalized support for thousands of simultaneous customers without degradation.

Support that really resolves, the first time.

Persistent memory for support teams — more resolution, more satisfaction, less repetition.