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When AI features exist but no one trusts them

Unstructured implementation is the leading cause of AI distrust. While teams readily explore HubSpot AI, a lack of clear operational boundaries and unpredictable outputs keep valuable experiments permanently stuck in pilot mode.

reporting inaccuracy

No one knows where AI should be used

Without guidance, HubSpot AI features remain unused. Teams hesitate when they cannot distinguish helpful automation from extra work.

Pipelines chaos

Outputs feel unpredictable

Inconsistent results instantly kill AI adoption. When HubSpot AI tests generate off-brand content, teams refuse to risk customer-facing interactions.

Lots of manual work

Teams worry about accuracy

Fear of incorrect outputs stalls implementation. Teams avoid HubSpot AI because the risk of misinforming customers or misrouting leads outweighs the perceived reward.

HubSpot used differently

There are no clear boundaries

Without clear rules for HubSpot AI versus human oversight, teams hesitate. Constant manual judgment calls paralyze automation.

Leadership questions unanswered

Experiments stay in pilot mode

Without a deployment strategy, HubSpot AI remains stuck in testing. Valuable experiments stall because teams lack a defined path to production.

Broken Automations

Leadership wants AI but teams are cautious

Executives read about AI ROI and want it implemented. Teams on the ground know the risks and move slowly without structure.

What the AI Agents Enablement Pack does

This package ensures a controlled rollout of HubSpot AI by focusing on practical use cases, clear guardrails, and human oversight aligned with your real workflows.

Instead of turning everything on, we implement automation that supports your team without increasing operational risk.

The goal is simple: Automation that supports work, not risks it.

Delivered in 3-6 weeks.

Ai enablement pack

What's included in the enablement pack

audit-1

Use case identification and prioritization

  • Audit of current HubSpot AI capabilities
  • Identification of suitable AI scenarios for your business
  • Risk assessment for each use case
  • Prioritization based on value, risk, and feasibility
  • Roadmap for phased AI adoption
audit-2

AI agent configuration

  • Setup of HubSpot AI agents where appropriate
  • Channel connections (chat, email, social where supported)
  • Role and scope definition for each agent
  • Knowledge base and data source configuration
  • Tone and brand voice alignment
audit-3

Guardrails and safety controls

  • Clear escalation paths to human oversight
  • Boundaries for automated actions
  • Review and approval mechanisms
  • Error handling and fallback logic
  • Confidence thresholds for AI responses
audit-4

Human oversight framework

  • Definition of what requires human review
  • Escalation triggers and protocols
  • Approval workflows for AI-generated content
  • Quality monitoring processes
  • Override capabilities for team members
audit-5

Knowledge base and training

  • Organization of content for AI consumption
  • Training data preparation and validation
  • Response accuracy testing
  • Continuous improvement processes
  • Feedback loops for refinement
audit-6

Team enablement and training

  • Practical guidance on when to rely on AI
  • Usage best practices and limitations
  • Escalation protocol training
  • Monitoring dashboard training
  • Change management support
audit-07

Governance and documentation

  • AI usage policies and guidelines
  • Responsibility assignment
  • Documentation of all AI configurations
  • Change management process
  • Ongoing governance recommendations
audit-8

Performance measurement

  • Success metrics definition
  • Monitoring dashboard setup
  • Quality tracking mechanisms
  • ROI measurement framework
  • Continuous improvement plan

We collaborate with companies all around the world

How it works

Week 1-2- Discovery and use case definition Week 3- Configuration and setup Week 4- Testing and validation Week 5- Training and handover Timeline- 3 to 5 weeks

What ad-hoc AI implementation costs you

Pilot paralysis

When 60-70% of AI experiments never leave pilot mode due to lack of structure, you're paying for features you never actually use.

Quality incidents

One AI mistake visible to customers can damage brand trust more than months of good service. Without guardrails, risk is real.

Team resistance

Without clear guidelines, 40-50% of team members avoid AI entirely rather than risk making the wrong call on when to use it.

Missed efficiency gains

While you debate AI safety without structure, competitors with proper guardrails already have 20-30% efficiency gains from AI automation.

Inconsistent adoption

Different teams use AI differently. Marketing uses it, sales doesn't. No consistency means no organizational learning or improvement.

Re-work and corrections

Unguided AI generates content that needs extensive human editing, wasting more time than if humans had written it originally.

Pricing

AI Agents Enablement Pack pricing
Starting from $5,000

Fixed-scope enablement engagement. Final pricing depends on:

  • Number of AI use cases to implement
  • Complexity of guardrails needed
  • Team size and training requirements
  • Integration complexity
  • Knowledge base preparation needs
  • Governance depth required
Ongoing support
Monthly AI management
Starting from $1,500/month

Continuous optimization, new use case addition, performance monitoring, governance enforcement.

ROI shows within 90 days

Productivity gains from AI automation, time saved on routine tasks, and improved consistency typically deliver 4-6x ROI in first year.

Talk to us now

Frequently Asked Questions

Which HubSpot AI features does this cover?
Do we need special HubSpot licenses?
How do you decide which AI use cases are safe?
What if the AI makes a mistake?
Can we start small and expand?
How do you ensure brand voice consistency?
What happens after the enablement is complete?
Can you help with AI strategy beyond HubSpot?
How technical does our team need to be?

Why WX? 

Group 35642

HubSpot AI specialists

We understand HubSpot's AI capabilities deeply and know how to configure them for real business use cases.

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Risk-aware approach

We don't just enable features. We build appropriate guardrails and oversight for responsible AI use.

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Change management focus

Technical setup is only half the challenge. We ensure teams understand when and how to use AI effectively.

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Practical use case focus

We prioritize use cases with clear ROI and manageable risk, not experimental features that create more work.

lead-allocation

Governance integration

AI enablement includes policies, documentation, and ongoing governance so AI stays controlled as it scales.

This is a good fit if

On-brand quote templates

You want structured, responsible AI adoption

Custom deal fields

HubSpot is already central to your operations

Display what’s needed

Teams want clarity on AI usage guidelines

Dynamic terms & conditions

You value governance and oversight

Migrate products

You prefer controlled rollout over experimentation

Hubspot Scaling

You're ready to invest in proper AI implementation

Bring AI into HubSpot responsibly

AI works best when it fits real processes with clear guardrails.


Start with structure, safety controls, and team enablement - not just turning features on.


3-5 weeks. Structured rollout. Controlled adoption.

 

 

Your AI enablement 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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