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When support volume outgrows the team
 

As support demand increases, repetitive questions overwhelm human agents, causing response times to slip. Without automation, your customer experience remains permanently bottlenecked by team availability.

reporting inaccuracy

The same questions repeat daily

Answering basic FAQs daily exhausts human agents. Without automation, your team repeats simple answers instead of solving complex customer problems.

Pipelines chaos

Response times start to slip

As first response times creep from hours to days, customer frustration peaks. Delayed answers to routine queries directly drive churn.

Lots of manual work

Agents handle tasks that could be automated

Support teams waste up to 70% of their time on predictable questions. Automating these routine patterns frees your agents for high-value customer escalations.

HubSpot used differently

Customer experience depends on availability

Off-hours and peak surges force customers to wait. Without 24/7 automation, instantly resolvable queries remain trapped in your support queue.

Leadership questions unanswered

Scaling means hiring

Handling higher volume currently requires hiring more agents. Yet, most routine tickets need fast automation, not expensive human intelligence.

Broken Automations

Knowledge base goes unused

Customers bypass self-serve documentation and submit tickets anyway. Without AI, your knowledge investment fails to reduce support volume.

What the Customer Service AI Agent does

This agent automates predictable support interactions, working alongside your team rather than replacing it.

We focus on resolving routine queries, automating ticket creation, and seamlessly escalating complex issues to human agents.

The goal is simple: Faster resolution times without losing oversight.

Delivered in 4-6 weeks.

 

The Customer Service AI Agent

What's included in the AI agent setup

audit-1

HubSpot integration and setup

  • AI agent configured in HubSpot Service Hub
  • Live chat and email inbox integration
  • Seamless handoff to human agents
  • Ticket creation and routing
  • CRM integration for customer context
audit-2

Knowledge base alignment

  • Audit and organization of existing support content
  • Knowledge base optimization for AI retrieval
  • Gap identification in support documentation
  • Content formatting for optimal AI responses
  • Continuous learning setup from resolved tickets
audit-3

AI training and configuration

  • Training on your specific support content
  • Product and service knowledge integration
  • Tone and brand voice alignment
  • Response templates for common scenarios
  • Multi-language support if needed
audit-4

Guardrails and escalation logic

  • Clear escalation rules to human agents
  • Complexity detection and routing
  • Sentiment analysis for frustrated customers
  • VIP customer identification and routing
  • Issue type classification and prioritization
audit-5

Response automation

  • Instant answers to common questions
  • Step-by-step troubleshooting guidance
  • Account information retrieval
  • Order status and tracking lookup
  • FAQ and documentation surfacing
audit-6

Quality controls

  • Response accuracy monitoring
  • Customer satisfaction tracking
  • Escalation pattern analysis
  • Continuous improvement feedback loops
  • Human agent override capabilities
audit-07

Analytics and reporting

  • Resolution rate tracking
  • Response time metrics
  • Escalation patterns
  • Customer satisfaction scores
  • Cost savings analysis
audit-8

Team training and handover

  • Agent handoff protocol training
  • Monitoring dashboard training
  • Continuous improvement process
  • Best practices documentation
  • Ongoing optimization guidance

We collaborate with companies all around the world

How it works

Week 1-2- Discovery and content audit Week 3- Knowledge setup and training Week 4-5- Configuration and testing Week 6- Launch and monitoring Timeline- 4 to 6 weeks

What slow support costs you

Support team overhead

When 60-70% of tickets are routine questions, you're paying skilled agents $40-60K annually to answer "password reset" and "where's my order" repeatedly.

Response time impact on retention

Every hour of delay in first response increases churn risk by 5-7%. At 24-hour response times, you're losing 15-20% more customers than necessary.

Scaling requires linear headcount

Doubling support volume means doubling team size at $50K-70K per agent, while AI handles infinite volume at fixed cost.

After-hours opportunity cost

40-50% of support requests come outside business hours. These customers wait 12-16 hours for simple answers that could be instant.

Knowledge base ROI gap

You invested in documentation that could answer 70% of questions, but without AI to surface it, utilization stays at 20-30%.

Marketing Hub Onboarding

Repetitive work on simple questions causes 30-40% higher turnover in support teams, increasing recruiting and training costs.

Pricing

Customer Service AI Agent pricing
Starting from $3,000

One-time setup. Final pricing depends on:

  • Knowledge base size and complexity
  • Number of use cases and question types
  • Integration complexity
  • Multi-language requirements
  • Custom escalation logic needs
  • Team training requirements
Ongoing optimization
Monthly optimization
Starting from $1,500/month

Response refinement, new use case addition, performance monitoring, continuous improvement.

ROI typically shows in 30-60 days

Reduced response times, lower cost per ticket, improved customer satisfaction, and freed agent capacity typically deliver 5-10x ROI in first year.

Talk to us now

Frequently Asked Questions

Will the AI agent replace our support team?
How accurate are the AI responses?
What happens if the AI can't answer?
Can it access customer data in HubSpot?
How long until it's fully trained?
What if customers prefer human agents?
Can it handle complex technical issues?
How do we measure success?
Does this work for B2B or just B2C?

Why WX for service AI agents

Group 35642

HubSpot Service Hub specialists

We know how to leverage HubSpot's AI capabilities and integrate agents seamlessly with Service Hub workflows.

Group 35782

Support operations expertise

We understand support operations and design AI agents around real support team workflows, not theoretical use cases.

Group 35793 2

Quality-focused implementation

We build in extensive guardrails and testing to ensure accuracy before launch, not learning on your customers.

Group 35795 2

Continuous improvement approach

We don't just launch and leave. Ongoing optimization ensures the agent gets smarter over time.

lead-allocation

Customer experience focus

We design AI interactions that feel helpful, not robotic. Brand voice and tone are built in from the start.

This is a good fit if

On-brand quote templates

Support volume is growing faster than your team

Custom deal fields

Many questions are repetitive and predictable

Display what’s needed

Response time matters to customer satisfaction

Dynamic terms & conditions

You want structured automation with human oversight

Migrate products

You have documentation or knowledge that could be surfaced

Hubspot Scaling

Your team spends too much time on routine questions

Improve response without overloading your team

Let automation handle the predictable so people handle the complex.


Give customers instant answers while giving your team time for work that matters.


4-6 weeks. AI-powered. Human-supervised.

 

Your AI agent team

 

Martjin
Martijn van Dooren

CEO

WX Agency
Melvin
Melvin Heinsius

COO

WX Agency
Ruben Brouwers
Ruben Brouwers

Lead of RevOps &
Commercial Growth

WX Agency
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Shopify
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