SHEET 01Customer SupportSUPPORT

AI agents that resolve customer issues faster and improve satisfaction.

Q: How does AI handle customer support tickets?

AI agents automatically categorize incoming tickets, search your knowledge base for relevant solutions, draft responses with citations, and resolve routine issues autonomously. Complex cases are escalated to human agents with full context — achieving 70% auto-resolution rates.

Q: Will AI agents replace our support team?

No. AI agents handle routine, repetitive inquiries so your team can focus on complex, high-value interactions. Agents augment your team by providing instant knowledge base access, suggested responses, and automated ticket routing — improving agent productivity and job satisfaction.

Q: How does AI support work across channels?

AI agents provide consistent support across email, chat, phone, social media, and self-service portals. Context carries across channels, so a customer who starts on chat and calls in doesn't have to repeat themselves.

Q: Can AI agents learn from our knowledge base?

Yes. AI agents ingest your knowledge base, SOPs, product documentation, and past ticket resolutions to provide accurate, cited answers. The system continuously learns from new articles and agent corrections to improve response quality.

Q: What impact does AI have on CSAT scores?

Organizations using assistents for customer support see average CSAT scores of 92%, driven by faster response times (45% faster MTTR), consistent answer quality, and 24/7 availability. Customers get accurate answers instantly instead of waiting in queue.

Automate ticket triage, knowledge retrieval, resolution, escalation, and CSAT tracking. Production-ready in weeks. 70% auto-resolution. 45% faster MTTR. Enterprise-grade for support leaders and customer success teams.

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Ticket AI
Knowledge Search
Omnichannel
CSAT Tracking
Escalation Engine
Auto-Resolution

Support queueLive

Active Tickets47

Avg Response42s

Resolution70%

TKT-4891Sarah ChenChatResolving
TKT-4890James WilsonEmailAuto-resolved
TKT-4889Maria GarciaVoiceEscalated
TKT-4888Alex ParkSocialPending

70%Auto-resolution rate

45%Faster MTTR

92%CSAT score

<3 wksTo production

SHEET 02Intelligent Ticket TriagePIPELINE

Classify and route tickets in seconds, not hours.

Agents understand ticket sentiment, urgency, and complexity. Route to specialists or auto-resolve common issues immediately. Reduce triage overhead and accelerate first response.

Definition

AI agents for customer support are autonomous systems that execute multi-step support operations like ticket triage, issue resolution, knowledge retrieval, and escalation. They connect to your ticketing system, knowledge base, and customer data to drive resolution speed and satisfaction.

Resolution pipelineActive

01Receive Ticket

Omnichannel intake

02Classify & Route

Sentiment + urgency

03Search & Resolve

KB search + auto-resolve

04Close & Learn

Resolution + CSAT feedback

4 stages avg 42 sec first response

SHEET 03Knowledge-Powered ResolutionOMNICHANNEL

Answer customer questions instantly across every channel.

Agents search your documentation, FAQs, and historical tickets to resolve 70% of issues without human involvement. Per-channel metrics track resolution quality in real time.

Total Tickets 2,847Auto-resolved 70.2%CSAT 92%

ChannelVolumeAuto-resolveMTTRCSAT

Chat1,24078%3.2 min94%

Email89265%2.4 hrs91%

Voice48352%4.8 min89%

Social23271%18 min93%

Omnichannel support 4 channels active

SHEET 04Use CasesSUPPORT

What you can automate across customer support.

From voice support to ticket resolution: see how AI agents transform customer experience across every channel.

UC-01

Customer Service Automation

Deploy AI agents that resolve tier-1 support requests end-to-end — across chat, email, and messaging channels — with full context from your CRM, knowledge base, and order history.

Conversational AgentsVoice AI

UC-02

Employee IT & HR Helpdesk

Automate internal support for IT tickets, HR policy questions, benefits inquiries, and onboarding tasks. Agents pull answers from internal wikis and escalate to the right team when needed.

Conversational Agents

UC-03

Patient Intake & Clinical Triage

Automate patient registration, insurance verification, and symptom-based triage. Agents collect structured intake data, flag high-acuity cases, and route patients to the right care pathway.

Conversational AgentsDocument AI

UC-04

Student Enrollment & Academic Advising

Guide prospective and current students through enrollment, course selection, financial aid applications, and academic advising — 24/7, across web and mobile channels.

Conversational AgentsDocument AI

UC-05

Tenant & Property Inquiry Management

Handle lease inquiries, maintenance requests, showing schedules, and move-in coordination. Agents respond instantly across chat and voice, pulling from property management systems.

Conversational AgentsVoice AI

UC-06

Voice-Powered Customer Support

Replace legacy IVR trees with natural voice agents that resolve calls end-to-end. Sub-200ms latency, real-time sentiment detection, and seamless handoff to human agents when needed.

Voice AIConversational Agents

SHEET 05Support Intelligence ArchitectureGOVERNED

Every ticket passes through intelligent classification.

Full transparency into how issues are triaged, resolved, and escalated. Agents operate under quality controls that support leaders trust.

Support intelligence pipelineActive

01Ticketing & CRM

Zendesk, ServiceNow, Freshdesk

02Context Engine

Unified customer data model

03Intelligence Layer

Classify, sentiment, intent

04Resolution Engine

Resolve, escalate, update

05Customer Outputs

CSAT, reports, insights

Triage Accuracy

Sentiment analysis
Urgency detection
Category classification
Routing optimization

Resolution Quality

KB search accuracy
Answer relevance
Context completeness
Outcome tracking

Escalation Policy

Threshold policies
Context handoff
SLA monitoring
Severity routing

CSAT Monitoring

Real-time scoring
Feedback analysis
Trend detection
Quality alerts

70%Auto-resolution

<45sFirst response

92%CSAT score

99.9%Uptime SLA

SHEET 06Support Integration70+ SYSTEMS

Connect to your entire customer support ecosystem.

Assistents integrates with ticketing systems, knowledge bases, CRMs, and communication platforms. Agents build a unified view of customer issues using our Context Engine.

Systems 70+Categories 6Sync Bidirectional

CategorySystemsCountSync mode

Ticketing PlatformsZendesk, ServiceNow, Freshdesk12Bidirectional

Knowledge BaseConfluence, Notion, Help Scout10Bidirectional

CRM SystemsSalesforce, HubSpot, Dynamics8Bidirectional

CommunicationSlack, Teams, Intercom, Drift16Read + Sync

Analytics & BITableau, Power BI, Amplitude14Read-only

Voice & TelephonyTwilio, Talkdesk, Five910Bidirectional

70+ pre-built connectors for support systems. Open APIs for custom integrations. Explore all integrations →

SHEET 07Specification NotesFAQ

Questions support leaders ask

How does AI handle customer support tickets?

AI agents automatically categorize incoming tickets, search your knowledge base for relevant solutions, draft responses with citations, and resolve routine issues autonomously. Complex cases are escalated to human agents with full context — achieving 70% auto-resolution rates.

Will AI agents replace our support team?

No. AI agents handle routine, repetitive inquiries so your team can focus on complex, high-value interactions. Agents augment your team by providing instant knowledge base access, suggested responses, and automated ticket routing — improving agent productivity and job satisfaction.

How does AI support work across channels?

AI agents provide consistent support across email, chat, phone, social media, and self-service portals. Context carries across channels, so a customer who starts on chat and calls in doesn't have to repeat themselves.

Can AI agents learn from our knowledge base?

Yes. AI agents ingest your knowledge base, SOPs, product documentation, and past ticket resolutions to provide accurate, cited answers. The system continuously learns from new articles and agent corrections to improve response quality.

What impact does AI have on CSAT scores?

Organizations using assistents for customer support see average CSAT scores of 92%, driven by faster response times (45% faster MTTR), consistent answer quality, and 24/7 availability. Customers get accurate answers instantly instead of waiting in queue.

SHEET 08Sign-offREADY

In production in 3 weeks.

Start with ticket triage, knowledge resolution, or agent assist. We'll connect to your ticketing system, learn your support processes, and deliver measurable outcomes in weeks.

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Audience: Support leaders · CX teams
Outcome: 70% auto-resolve · 92% CSAT
Lead time: Ticketing connect to production · 3 weeks
Sheet: 8 of 8 · Customer Support

See the Support Demo

Watch agents automatically triage tickets, retrieve relevant knowledge, resolve issues, and escalate complex cases with full context.

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Voice AI for Support

Deploy voice agents that handle inbound support calls with sub-300ms latency, 24/7 availability, and intelligent human handoff.

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How assistents compares

See how assistents stacks up against Moveworks, Aisera, and other support automation platforms.

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Learn about support governance

Explore how assistents ensures quality and compliance through knowledge review, escalation controls, and customer satisfaction tracking.

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Build Agents Without Code

Create custom support agents with natural language — no engineering required. Deploy in minutes, iterate instantly.

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