AI Foundations

Business context and AI configuration for HubSpot.

Overview

We configure Breeze, HubSpot’s suite of AI tools, around your business, customers and brand, helping your team generate more relevant content, recommendations and responses.

AI Foundations includes an AI-readiness audit, business-context implementation and controlled testing.

You leave with tested AI foundations, documented guidance and a practical roadmap for what comes next.

AI CONTEXT PROFILE
Business context
ACTIVE
01
Business Strategy
✓
02
ICP & Personas
✓
03
Products & Services
✓
04
Brand & Voice
✓
05
Lifecycle & Pipeline
✓
06
Commercial Rules
✓
CONTEXT READINESS
Ready for AI
92%
 
✦
BREEZE + AGENTS
Business context available
Structured business context gives AI more than CRM data alone | Illustrative example.
WHAT AI SEES TODAY
It has the data.
But not the full picture.
Breeze
QUESTION
Which opportunity should sales prioritise?
VALUE
$120k
ACTIVITY
High
STAGE
Late
AI RECOMMENDATION
Prioritise Acme Ltd.
High deal value, strong engagement and recent activity indicate a promising opportunity.
BUT IT CAN'T SEE
01 Poor ICP fit
02 Low-margin offer
03 Wrong stakeholder
04 Historical risk
+ Add the missing business context (Click Here)
BETTER RECOMMENDATION
Deprioritise Acme Ltd.
Despite strong CRM activity, the account falls outside the target ICP, carries lower margin and shows patterns associated with stalled opportunities.
i
THE DIFFERENCE
CRM data tells AI what happened. Business context helps it understand what it means.

The Context Gap

Your CRM holds the data. Your AI needs the bigger picture.

A high-value deal with strong engagement might look like a sales priority. But what if the customer is a poor fit, the offer carries a low margin or the wrong stakeholder is involved?

Breeze AI in HubSpot needs that business context to make more relevant recommendations.

Explore the example to see how adding context changes which opportunity deserves attention.

The Solution

Build the foundations before you scale AI.

 

We review your HubSpot setup and work with your team to capture the business knowledge your agreed AI use cases need.

We then implement the relevant context and supporting configuration, test outputs with your team and document what has been set up.

Your roadmap identifies the next priorities for Breeze and future AI use cases.

AI FOUNDATIONS DELIVERY
From discovery to roadmap
01
 
AI Discovery Audit
DISCOVER
Assess the current CRM, data, AI use cases, business context and the gaps that may be limiting AI performance.
02
 
Post Audit Client Session
DESIGN
Review the audit findings, align on priorities and confirm the areas that should move into implementation.
03
 
Implementation
DEVELOP
Structure and implement the agreed context, configuration and supporting changes inside HubSpot.
04
 
Controlled testing phase
DELIVER
Test AI outputs and behaviours in a controlled environment before broader use across the business.
05
 
AI Strategy & Roadmap Client Session
DRIVE
Define the next priorities, future AI use cases and a practical roadmap for continued AI adoption.
06
Follow up comms and wrap up documentation
DRIVE
Document what was implemented, capture key recommendations and provide the agreed next steps.
OUTCOME
A stronger foundation for Breeze, Agents and future AI use cases.

What This Unlocks

AI that works with a clearer understanding of your business.


Give Breeze the business context to create more relevant content, recommendations and customer responses.

Business Strategy

The AI inside your CRM understands your goals, priorities, market positioning and what your business is trying to optimise for.

ICP & Personas

Your AI recognises what makes a good-fit customer and tailors its recommendations and communication to their needs.

Products & Services

Your AI understands what you sell, who it’s for and how your products and services address different customer needs.

Brand & Voice

Your AI writes content and addresses your customers with on-brand language, tone and information.

Lifecycle & Pipeline

Your AI understands what your lifecycle and pipeline stages mean, helping your team identify next steps and recognise when opportunities need attention.

Commercial Rules

Your AI assesses opportunities against your definitions of value, fit, margin and risk, helping your team prioritise.

Customer Context

Your AI takes relevant customer history, relationships and behaviour into account, making its responses and recommendations more personalised.

Governance

Your AI use follows agreed boundaries, with clear ownership, review requirements and human approval where needed.

✦
CONNECTED CAPABILITY
AI Foundations
HUBSPOT
HubSpot Architecture
Portal structure, objects, properties and the way HubSpot is configured to support AI.
REVENUE
CRM & RevOps
Lifecycle design, pipeline logic, qualification and the commercial rules behind your CRM.
DATA
Data & Integrations
The systems, data flows and connected information AI needs to interpret the customer picture.
OPERATIONS
Sales, Marketing & Service
The workflows, processes and customer interactions AI should understand across teams.
EXPERIENCE
Brand & Customer Experience
Messaging, tone, customer expectations and the experience your AI should reinforce.
CONTROL
AI Governance
Ownership, boundaries, approval rules and the controls needed for responsible AI use.
THE DIFFERENCE
Strategy, systems, data, processes, experience and governance working together.

AI context is not just a content exercise.

 

Good AI context depends on more than prompts or documentation. It needs to reflect how your CRM is structured, how your teams work, how your data behaves and how your business makes decisions.

That means the context we build is designed to work inside the system your teams actually use.

Your business changes. Your AI context should too.

 

The context behind your AI needs to evolve as your business does.

Products change. ICPs shift. Pipelines are updated. Teams introduce new processes. Brand positioning evolves. Governance requirements become more mature.

If the context behind AI stays static while the business changes, the quality of its outputs starts to drift.

↻
LIVING CONTEXT
Keep AI aligned as your business changes
01
Business changes
Products, priorities, customers and processes evolve.
 
02
Context reviewed
Check what has changed and what AI needs to understand.
 
03
HubSpot context updated
Refresh the context, rules and guidance behind AI.
 
04
Breeze & Agents improve
Outputs stay more relevant as the business evolves.
COMMON CHANGE TRIGGERS
Products evolve
ICP shifts
Pipeline definitions change
New processes appear
Brand messaging changes
Governance matures

Is AI Foundations for you?

Are you using HubSpot AI, but the outputs still feel generic or disconnected from how your business actually works?
Are you using HubSpot AI, but the outputs still feel generic or disconnected from how your business actually works?
Are different teams using AI in different ways, creating inconsistent recommendations, content or customer experiences?
Are different teams using AI in different ways, creating inconsistent recommendations, content or customer experiences?
Would your AI be more useful if it understood your ideal customers, products and services, commercial priorities, pipeline logic and brand voice?
Would your AI be more useful if it understood your ideal customers, products and services, commercial priorities, pipeline logic and brand voice?
Do you want a clearer framework for how Breeze and Agents should use business context, including where human oversight and governance are required?
Do you want a clearer framework for how Breeze and Agents should use business context, including where human oversight and governance are required?

Are you looking to scale AI use across sales, marketing and service without sacrificing quality, consistency or control?

Are you looking to scale AI use across sales, marketing and service without sacrificing quality, consistency or control?

Do you need a stronger foundation before rolling out more advanced AI capabilities or Agents across HubSpot?

Do you need a stronger foundation before rolling out more advanced AI capabilities or Agents across HubSpot?

Inclusions

Establish powerful AI foundations in HubSpot so Breeze AI is primed to speak about your business, products and USP in a way that aligns with your brand and audience.
Tier
Essentials
AI Discovery Audit AI Discovery Audit

30 minute session

Post Audit Client Session Post Audit Client Session

30 minute session

Implementation Implementation
Controlled testing phase Controlled testing phase
AI Strategy & Roadmap Client Session AI Strategy & Roadmap Client Session

60 minute session

Follow up comms and wrap up documentation Follow up comms and wrap up documentation

Process overview & timeline

Week 1 Week 2 Week 3
AI Discovery Audit
Week 1
AI Discovery Audit
Post Audit Client Session
Week 1
Post Audit Client Session
Implementation
Week 2
Implementation
Controlled Testing Phase
Week 2
Controlled Testing Phase
AI Strategy & Roadmap Session
Week 3
AI Strategy & Roadmap Session
Wrap Up Documentation
Week 3
Wrap Up Documentation

Our Team & Roles

AI Transformation Lead
Aligns AI setup with commercial goals and HubSpot usage
AI-Transformation-Lead-Icon
AI Transformation Lead
Aligns AI setup with commercial goals and HubSpot usage
CRM Lead

Oversees technical configuration of AI tools in HubSpot

CRM General
CRM Lead

Oversees technical configuration of AI tools in HubSpot

Marketing Lead

Supports brand identity, tone and ICP definition for AI training.

Marketing-Lead-Icon
Marketing Lead

Supports brand identity, tone and ICP definition for AI training.

Success Manager

Coordinates training, adoption, and continuous improvement

Success-Manager-Icon
Success Manager

Coordinates training, adoption, and continuous improvement

FAQs

Is our HubSpot portal ready for this?

That’s part of what the AI Discovery Audit is designed to establish. We review your existing HubSpot setup, data structure, processes and current AI usage to identify what is already in place and what needs attention before AI can be used more effectively.

How much of our team's time will this require?

The service is designed to minimise internal workload. Your team will need to provide input during the discovery and alignment sessions, help validate business context and participate in the roadmap discussion. Avidly manages the implementation and testing work in between.

How do we ensure Breeze AI doesn’t generate off-brand or incorrect content?

We structure approved business, product, customer and brand context inside HubSpot, then test outputs in a controlled environment before broader use. Governance, approval expectations and human oversight are also considered as part of the foundation.

What exactly do we walk away with at the end of the project?

You leave with a stronger context layer inside HubSpot, agreed AI foundations, tested configuration, documented recommendations and a practical roadmap for what to prioritise next across Breeze, Agents and other AI use cases.

Is this only for marketing teams?

No. AI Foundations is designed to support AI use across sales, marketing and service. The goal is to create shared business context that different teams and AI capabilities can use consistently.

Does this include building AI Agents?

Not necessarily. AI Foundations is about creating the context, structure and governance needed before more advanced AI use cases are scaled. Agent implementation can then be prioritised as part of the roadmap where appropriate.

Testimonials