From 'Meh' to Meaningful: Driving compliant, on-brand AI with context
Time: Thursday 14th May 10:30-11:00
Room: Te Aro
Track: Drupal Development
AI can generate text, designs and interfaces at lightning speed — but without the right context, results are often off-brand, non-compliant, or just plain 'meh'. Context is the difference between “AI that guesses” and “AI that gets it,” turning outputs into authentic, on-voice, and intentional meaningful results.
Drupal’s Context Control Center Module provides a single hub to capture and manage your organisation’s rules, policies and guidelines, then map them directly to AI features. Need government compliance, brand consistency or a specific tone? Context Control Center ensures every AI output aligns with your requirements.
Imagine being able to say:
“Every article summary must be 3 sentences under 300 characters.”
“Never use these restricted words.X, Y, Z ”
“Match accessibility standards WCAG X.XX automatically.”
“Keep all content at an 8th-grade reading level.”
“Always use our brand colours and typography.”
Instead of scattered style guides, briefs or prompts, Context Center centralises these rules so AI results are consistent, compliant and compelling.
In this session, we’ll explore why context is the missing ingredient for meaningful AI, which types of context have the biggest impact, real-world use cases, and how Drupal’s Context Control Center makes it simple to manage and deliver. You’ll leave with practical insights and a clear path to elevating your AI from “meh” to meaningful.
Learning objectives
At the end of this session, attendees will be able to:
* Apply context engineering principles to make AI outputs more authentic, consistent and aligned with their organisation’s goals
* Identify and categorise different types of context that improve AI performance in real-world Drupal use cases
* Use Drupal’s Context Control Center to organise and deliver context to specific AI agents for improved results
Drupal’s Context Control Center Module provides a single hub to capture and manage your organisation’s rules, policies and guidelines, then map them directly to AI features. Need government compliance, brand consistency or a specific tone? Context Control Center ensures every AI output aligns with your requirements.
Imagine being able to say:
“Every article summary must be 3 sentences under 300 characters.”
“Never use these restricted words.X, Y, Z ”
“Match accessibility standards WCAG X.XX automatically.”
“Keep all content at an 8th-grade reading level.”
“Always use our brand colours and typography.”
Instead of scattered style guides, briefs or prompts, Context Center centralises these rules so AI results are consistent, compliant and compelling.
In this session, we’ll explore why context is the missing ingredient for meaningful AI, which types of context have the biggest impact, real-world use cases, and how Drupal’s Context Control Center makes it simple to manage and deliver. You’ll leave with practical insights and a clear path to elevating your AI from “meh” to meaningful.
Learning objectives
At the end of this session, attendees will be able to:
* Apply context engineering principles to make AI outputs more authentic, consistent and aligned with their organisation’s goals
* Identify and categorise different types of context that improve AI performance in real-world Drupal use cases
* Use Drupal’s Context Control Center to organise and deliver context to specific AI agents for improved results
Speakers
Suchi Garg
Suchi is Salsa Digital’s Web Application Team Manager, responsible for technical leadership across Drupal projects. She’s been working on the Drupal AI initiative since the start of 2025 and works closely with Salsarian maintainers of the Drupal Context Control Center Module (https://www.drupal.org/project/ai_context), Kristen Pol and Kurt Foster. Suchi is currently working on strategic initiatives to bring the Context Control Center into Drupal website builds. She will be rolling the use of this module out across the business.
Suchi has over 26 years’ experience in web development, including over 20 years in the open source web development environment. She’s held a variety of senior roles, working at companies such as Accenture, Acquia, and Axelerant.
In these roles, she led multi-functional teams across backend and frontend development and QA, focusing on best practices to deliver quality technical solutions. In addition, she has extensive expertise leading Drupal migrations.
Suchi is also a Drupal trainer and is very active in the Drupal community, participating as a speaker and volunteer for DrupalCons, DrupalSouth, and local Drupal Camps.
Suchi has over 26 years’ experience in web development, including over 20 years in the open source web development environment. She’s held a variety of senior roles, working at companies such as Accenture, Acquia, and Axelerant.
In these roles, she led multi-functional teams across backend and frontend development and QA, focusing on best practices to deliver quality technical solutions. In addition, she has extensive expertise leading Drupal migrations.
Suchi is also a Drupal trainer and is very active in the Drupal community, participating as a speaker and volunteer for DrupalCons, DrupalSouth, and local Drupal Camps.
Additional speakersn/a