AI Digital Unveils Dual-Engine AI Model — Already Live, Already Delivering

AI Digital

March 5, 2026

5

minutes read

AI Digital launches the AI Labs Incubator and AI Transformation Consultancy — a first-of-its-kind dual-engine model that builds frontier AI products in days and embeds them across organizations for lasting impact.

Table of contents

AI Digital today announced the launch of its AI Labs Incubator and AI Transformation Consultancy — a dual-engine innovation model built to turn AI ambition into results fast. One engine builds frontier AI products in days; the other embeds them across organizations for lasting, measurable impact. Ideas from live client engagements are transformed into working prototypes within days — then deployed, tested, and refined directly in the hands of client teams.

The Incubator is the second program under AI Digital Labs, following the AI Creative Studio, which helps agencies bring creative and media concepts to life rapidly with production-quality outputs at scale. Together, they advance the Lab's mission: turning AI ambition into tangible, operational outcomes.

From Strategy to Execution

AI Digital’s model ensures AI programs don’t stall at the strategy stage — pairing rapid-build capability with organizational enablement for sustained adoption.

The AI Labs Incubator harnesses frontier AI to ideate, design, and build production-grade solutions in days, not months, integrating them directly into clients’ MarTech ecosystems. The AI Transformation Consultancy drives adoption — delivering capability-building programs, embedding Lab-built tools into live workflows, and ensuring every innovation achieves full-scale impact.

“The biggest reason AI tools fail inside organizations isn’t the technology — it’s that someone built a solution and told a team to go use it. The Incubator flips that. The ideas come from the client. The prototypes are built alongside them.”

— David Mainiero, Chief AI Officer, AI Digital

How It Works

Every solution moves through three rapid stages:

  • Spark: Ideas come from three sources — real client friction surfaced by growth and strategy teams, top-tier partners who co-author the challenge, and horizon-scanning of frontier AI breakthroughs shaping what comes next.
  • Focus: Solutions are scored on direct client impact and speed to market. Bespoke builds are precision-shaped to each partner’s strategy; AI products are purpose-built and delivered through AI Digital’s proprietary Elevate intelligence platform.
  • Ship: A team of AI engineers, ML architects, and developers owns the solution end-to-end — delivering working demos in days with a specialist network of engineers on call to surge capacity when a build demands it. 

Already live across multiple clients:

  • Synthetic Focus Group: AI-generated consumer responses in minutes — deeper insights at a fraction of traditional cost.
  • Website Audit Tool: Instant diagnostics across neuromarketing, conversion, SEO, and accessibility.
  • 15-Minute Spark Calls: Bespoke AI demos designed to ignite client curiosity.
  • AI Readiness Assessment: A 20-minute diagnostic measuring AI maturity and identifying next steps.
  • Exploratory Workshops: One-hour sessions matching business challenges with AI solutions to co-create roadmaps.

What’s Next

AI Digital Labs is developing a suite of new capabilities, including DSP-agnostic, AI-driven reporting that gives clients a unified view of performance across platforms. Further tools are currently in development and will be announced in the coming months.

The Team

The Incubator is powered by a cross-functional team that includes transformation and enablement specialists with AI transformation experience at firms like McKinsey, AI engineers, data and process specialists, and a curated panel of subject matter experts.

Boris Kulakhmetov, AI Transformation Consultant, brings experience deploying intelligent automation, generative AI, and predictive analytics across Fortune 500 retail and consumer brands at McKinsey and Publicis Sapient. He now channels that expertise into turning frontier AI into production-grade products that ship in days.

Alex Nydick, AI Transformation Specialist  spent their career at the intersection of people and technology — leading McKinsey’s capability-building programmes and advising Fortune 500 organisations on large-scale AI adoption and culture change. They now lead the Consultancy arm, designing transformation programmes and learning paths that make AI adoption stick.

The Incubator operates within AI Digital Labs, the company’s transformation practice launched in May 2025, which also delivers executive workshops, certification programs, and bespoke AI tool development.

About AI Digital Labs

AI Digital Labs is the consulting and innovation arm of AI Digital, a global AI-native media consultancy founded in 2018. The Labs help agencies and brands accelerate AI adoption through strategy, enablement, and production-grade innovation. AI Digital’s 450+ specialists deliver AI-driven media solutions for leading brands and agencies worldwide.

Media Contact

pr@aidigital.com

Inefficiency

Description

Use case

Description of use case

Examples of companies using AI

Ease of implementation

Impact

Audience segmentation and insights

Identify and categorize audience groups based on behaviors, preferences, and characteristics

  • Michaels Stores: Implemented a genAI platform that increased email personalization from 20% to 95%, leading to a 41% boost in SMS click through rates and a 25% increase in engagement.
  • Estée Lauder: Partnered with Google Cloud to leverage genAI technologies for real-time consumer feedback monitoring and analyzing consumer sentiment across various channels.
High
Medium

Automated ad campaigns

Automate ad creation, placement, and optimization across various platforms

  • Showmax: Partnered with AI firms toautomate ad creation and testing, reducing production time by 70% while streamlining their quality assurance process.
  • Headway: Employed AI tools for ad creation and optimization, boosting performance by 40% and reaching 3.3 billion impressions while incorporating AI-generated content in 20% of their paid campaigns.
High
High

Brand sentiment tracking

Monitor and analyze public opinion about a brand across multiple channels in real time

  • L’Oréal: Analyzed millions of online comments, images, and videos to identify potential product innovation opportunities, effectively tracking brand sentiment and consumer trends.
  • Kellogg Company: Used AI to scan trending recipes featuring cereal, leveraging this data to launch targeted social campaigns that capitalize on positive brand sentiment and culinary trends.
High
Low

Campaign strategy optimization

Analyze data to predict optimal campaign approaches, channels, and timing

  • DoorDash: Leveraged Google’s AI-powered Demand Gen tool, which boosted its conversion rate by 15 times and improved cost per action efficiency by 50% compared with previous campaigns.
  • Kitsch: Employed Meta’s Advantage+ shopping campaigns with AI-powered tools to optimize campaigns, identifying and delivering top-performing ads to high-value consumers.
High
High

Content strategy

Generate content ideas, predict performance, and optimize distribution strategies

  • JPMorgan Chase: Collaborated with Persado to develop LLMs for marketing copy, achieving up to 450% higher clickthrough rates compared with human-written ads in pilot tests.
  • Hotel Chocolat: Employed genAI for concept development and production of its Velvetiser TV ad, which earned the highest-ever System1 score for adomestic appliance commercial.
High
High

Personalization strategy development

Create tailored messaging and experiences for consumers at scale

  • Stitch Fix: Uses genAI to help stylists interpret customer feedback and provide product recommendations, effectively personalizing shopping experiences.
  • Instacart: Uses genAI to offer customers personalized recipes, mealplanning ideas, and shopping lists based on individual preferences and habits.
Medium
Medium

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