Some Form Elements
hs-form
form-columns-1
form-columns-2
hs-form is main form class.
form-columns-1 is class of wrapper with 1 column for inputs.
form-columns-2 is class of wrapper with 2 columns for inputs.
input and label
hs-input
Field Description / Help text
hs-field-desc
This is help text for the field
Field error message
hs-error-msgs inputs-list
hs-error-msg
  • Error message label
hs-error-msgs inputs-list is an HTML list element.
hs-error-msg is a text span inside HTML List Item element.
Text area Input
hs-input hs-fieldtype-textarea
hs-fieldtype-textarea is added as combo class.
Checkboxes
hs-form-booleancheckbox
hs-form-booleancheckbox-display
inputs-list
hs-input
Note: HubSpot uses basic HTML checkboxes, Webflow checkboxes work differently than the default HTML checkboxes, hence in order to style HubSpot checkboxes you need custom CSS.
you can use Webflow checkbox to style and then copy CSS from it.
Radio Buttons
inputs-list
hs-form-radio
hs-form-radio-display
inputs-list
hs-input
Success message
submitted-message
RecaptCHA
hs-recaptcha
Submit button
hs_submit
hs-button
Oops! Something went wrong while submitting the form.
Contextual AI for Enterprise

AI that works with your experts, not against them

Most AI tools fail because they lack context on how your business really operates. Contextual AI integrates with your experts, processes, and data to deliver measurable results through faster timelines, lower costs, and real ROI.

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Guide to Contextual AI

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Case Study

Baneservice deploy AI in their core processes in five weeks to to save hundreds of hours per project

Why generic AI falls short

While  AI promises transformation, most enterprises struggle to move beyond personal productivity tools to achieve real business impact.

No business context

Generic AI doesn’t understand your operations, data, or industry. The result? Irrelevant answers and inconsistent results.

Complex integrations

Bolting AI onto existing workflows requires huge investments in technical effort, infrastructure work, and costly upkeep.

Expert lockout

Generic AI often produces outputs that experts can’t trust. Without their knowledge built into the system, results remain inconsistent and disconnected from real business needs.

Why contextual AI works

Contextual AI connects to your data, workflows, and experts. Results are business-ready from day one.

AI that knows your business data

Easily pass structured data from your global data model and unstructured data from documents directly to AI systems without complex integration work.

Embed AI into workflows

Seamlessly integrate external LLMs and specialized AI services directly into your core business processes and digital workflows.

AI that works with your experts

Put domain specialists in the loop so they guide, validate, and scale their expertise instantly for trusted, accurate results.

Future-proof flexibility

Connect with any external AI service and easily adapt to new models as the technology evolves, protecting your AI investment.

With this solution, we save hundreds of hours per project, and our team of BREEAM specialists are happy working more effectively with AI assistance.

Alexander Guy Grentil-Raastad
Business Developer at Baneservice

We save time and can cut down costs on hiring additional resources and experts from consultancy firms, and that is money saved straight on the bottom line.

Alexander Guy Grentil-Raastad
Business Development Innovation at Baneservice

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In just one hour, we’ll explore how your business can simplify workflows, remove bottlenecks, and identify high-impact AI use cases.

Frequently asked questions

AI technology is changing so fast. Will our investment be wasted?

Appfarm's flexible architecture allows you to connect with any external API, including the latest AI models and services. Our focus on Contextual AI provides a stable framework for applying AI, regardless of the specific model used. You can easily swap or add new AI capabilities as they emerge, ensuring your applications remain at the cutting edge.

What if generic AI doesn't understand my specific business?

This is common, generic AI lacks context. Appfarm solves this with Contextual AI. We provide the framework to connect AI directly to your unique business data – both structured and unstructured – ensuring AI understands the nuances of your operations and delivers relevant, accurate results.

Example: Baneservice uploads project-specific files and integrates with SharePoint to provide AI with the necessary context to ensure a relevant response.

Free guide on Contextual AI implementation

A strategic framework for moving from AI experiments to enterprise-critical applications. Built for CXOs ready to drive measurable ROI.

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See Contextual AI in Action

Discover how Baneservice automated 248 certification criteria, saving hundreds of hours per project—and why their specialists embraced contextual AI from day one.

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