Building a culture worth certifying: Reflections on our Great Place to Work® journey
Anastasia Sokolenko
July 16, 2025
6
minutes read
Receiving our Great Place to Work® Certification was a reflection of collective effort, a workplace culture that evolved beyond expectations, with 95% of employees calling AI Digital a great place to work.
There are moments in a leader's career when you pause and realize that the seeds you've been planting have grown into something remarkable. Receiving our Great Place to Work® Certification was one of those moments—a reflection of the collective effort of every person who has chosen to build something meaningful with us at AI Digital.
When I joined AI Digital, I knew we had the potential to create something special. What I discovered in our certification results was a workplace culture that has evolved far beyond my initial expectations, in ways that genuinely surprised and humbled me.
The decision to pursue certification
The choice to pursue Great Place to Work® Certification wasn't driven by a desire for external recognition, though we're certainly proud of the achievement. It came from a deeper commitment to transparency and continuous improvement. As we've grown from a startup to a global consultancy with over 300 strategists, I wanted to ensure that our people-first values weren't getting lost in the excitement of expansion.
Too often, companies talk about culture in abstract terms, mission statements that live on walls rather than in daily experiences. We needed an objective lens through which to examine what we'd built together. The Trust Index™ survey gave us exactly that: unfiltered feedback from the people who live our culture every day.
What we heard from our people
The results told a story that, frankly, exceeded my expectations. With 95% of our employees saying AI Digital is a great place to work, compared to 57% at typical U.S. companies—it became clear that we'd created something genuinely special.
But the numbers that really matter are the ones that reveal how people feel about showing up to work every day. When 100% of our team says they feel welcomed when joining the company, and 98% describe management as approachable and appreciative of their efforts, that speaks to something deeper than processes or policies. It speaks to the daily choices our leaders make to show up as human beings first.
The voices that define us
What struck me most about our certification results wasn't just the numbers, but the stories behind them. When employees were asked what makes AI Digital special, their responses painted a picture of a workplace where "culture," "support," "opportunity," and "together" are daily experiences.
Among all the insights, one stood above the rest: nearly every team member feels safe, both physically and psychologically and empowered to be themselves at work. In an environment that can easily become high-pressure and impersonal, these results reflect a deliberate effort to foster connection, inclusion, and mutual respect.
As one team member shared: “The leadership genuinely cares about people as individuals, not just as employees. You feel seen and valued here.”
Of course, we're not perfect. Our survey revealed that while we excel at creating an inclusive, supportive environment, we have room to grow in areas like professional development consistency across all levels. This feedback is a gift—it shows us where to focus our energy as we continue evolving.
Celebrating the people who made this possible
None of this emerges by accident. It's the result of intentional choices made by our leadership team, starting with our CEO Stephen Magli, who has consistently demonstrated that putting people first yields both ethical and business advantages. It's our managers who choose empathy over ego, who see their role as developing others rather than simply directing tasks.
It's our team members who embody our values daily—who celebrate each other's wins, who extend grace during challenging moments, who consistently choose collaboration over competition.
During our recent company gathering, I watched colleagues from different continents connect like old friends, sharing not just work updates but life stories. That's not something you can mandate in a handbook; it grows when clarity, ownership, and intention guide the way people work together.
What's next: Culture as a living commitment
Receiving this certification marks progress—not completion—on the path to building a truly exceptional workplace. Culture isn’t built and stored but lived and shaped by everyday actions and choices.
As we look ahead, we're committed to:
Continuous listening: Our annual survey is just one touchpoint. We'll keep creating spaces for ongoing dialogue about what's working and what could be better.
Investing in growth: Based on employee feedback, we're expanding our learning and development opportunities to ensure everyone has clear paths for advancement.
Celebrating authentically: From our team offsites to virtual coffee chats, we'll continue creating moments that bring us together and reinforce what makes us unique.
Leading with transparency: We'll share both our successes and our challenges, because authentic leadership means being honest about the full journey.
A personal reflection
As People & Culture Director, this certification holds special meaning for me. It validates the vision we've worked toward: creating a workplace where high performance and human connection aren't mutually exclusive. When I see our teams collaborating across continents, supporting each other through challenges, and genuinely enjoying the work they do together, I know we're on the right path.
But more than validation, this certification is a responsibility. It's a promise to our current team and future colleagues that we'll keep striving to be worthy of their trust, enthusiasm, and dedication.
To everyone who made this achievement possible—thank you. Your feedback, your commitment, and your daily choice to bring your best selves to work have created something truly special.
And to those considering joining our team: we're not just building programmatic solutions. We're building a workplace where talented people can do their best work while being their authentic selves.
• Platforms own AI models and train on proprietary data • Brands have little visibility into decision-making • "Walled gardens" restrict data access
• Inefficient ad spend • Limited strategic control • Eroded consumer trust • Potential budget mismanagement
Open Garden framework providing: • Complete transparency • DSP-agnostic execution • Cross-platform data & insights
Optimizing ads vs. optimizing impact
• AI excels at short-term metrics but may struggle with brand building • Consumers can detect AI-generated content • Efficiency might come at cost of authenticity
• Short-term gains at expense of brand health • Potential loss of authentic connection • Reduced effectiveness in storytelling
Smart Supply offering: • Human oversight of AI recommendations • Custom KPI alignment beyond clicks • Brand-safe inventory verification
The illusion of personalization
• Segment optimization rebranded as personalization • First-party data infrastructure challenges • Personalization vs. surveillance concerns
• Potential mismatch between promise and reality • Privacy concerns affecting consumer trust • Cost barriers for smaller businesses
Elevate platform features: • Real-time AI + human intelligence • First-party data activation • Ethical personalization strategies
AI-Driven efficiency vs. decision-making
• AI shifting from tool to decision-maker • Black box optimization like Google Performance Max • Human oversight limitations
• Strategic control loss • Difficulty questioning AI outputs • Inability to measure granular impact • Potential brand damage from mistakes
Managed Service with: • Human strategists overseeing AI • Custom KPI optimization • Complete campaign transparency
Fig. 1. Summary of AI blind spots in advertising
Dimension
Walled garden advantage
Walled garden limitation
Strategic impact
Audience access
Massive, engaged user bases
Limited visibility beyond platform
Reach without understanding
Data control
Sophisticated targeting tools
Data remains siloed within platform
Fragmented customer view
Measurement
Detailed in-platform metrics
Inconsistent cross-platform standards
Difficult performance comparison
Intelligence
Platform-specific insights
Limited data portability
Restricted strategic learning
Optimization
Powerful automated tools
Black-box algorithms
Reduced marketer control
Fig. 2. Strategic trade-offs in walled garden advertising.
Core issue
Platform priority
Walled garden limitation
Real-world example
Attribution opacity
Claiming maximum credit for conversions
Limited visibility into true conversion paths
Meta and TikTok's conflicting attribution models after iOS privacy updates
Data restrictions
Maintaining proprietary data control
Inability to combine platform data with other sources
Amazon DSP's limitations on detailed performance data exports
Cross-channel blindspots
Keeping advertisers within ecosystem
Fragmented view of customer journey
YouTube/DV360 campaigns lacking integration with non-Google platforms
Black box algorithms
Optimizing for platform revenue
Reduced control over campaign execution
Self-serve platforms using opaque ML models with little advertiser input
Performance reporting
Presenting platform in best light
Discrepancies between platform-reported and independently measured results
Consistently higher performance metrics in platform reports vs. third-party measurement
Fig. 1. The Walled garden misalignment: Platform interests vs. advertiser needs.
Key dimension
Challenge
Strategic imperative
ROAS volatility
Softer returns across digital channels
Shift from soft KPIs to measurable revenue impact
Media planning
Static plans no longer effective
Develop agile, modular approaches adaptable to changing conditions
Brand/performance
Traditional division dissolving
Create full-funnel strategies balancing long-term equity with short-term conversion
Capability
Key features
Benefits
Performance data
Elevate forecasting tool
• Vertical-specific insights • Historical data from past economic turbulence • "Cascade planning" functionality • Real-time adaptation
• Provides agility to adjust campaign strategy based on performance • Shows which media channels work best to drive efficient and effective performance • Confident budget reallocation • Reduces reaction time to market shifts
• Dataset from 10,000+ campaigns • Cuts response time from weeks to minutes
• Reaches people most likely to buy • Avoids wasted impressions and budgets on poor-performing placements • Context-aligned messaging
• 25+ billion bid requests analyzed daily • 18% improvement in working media efficiency • 26% increase in engagement during recessions
Full-funnel accountability
• Links awareness campaigns to lower funnel outcomes • Tests if ads actually drive new business • Measures brand perception changes • "Ask Elevate" AI Chat Assistant
• Upper-funnel to outcome connection • Sentiment shift tracking • Personalized messaging • Helps balance immediate sales vs. long-term brand building
• Natural language data queries • True business impact measurement
Open Garden approach
• Cross-platform and channel planning • Not locked into specific platforms • Unified cross-platform reach • Shows exactly where money is spent
• Reduces complexity across channels • Performance-based ad placement • Rapid budget reallocation • Eliminates platform-specific commitments and provides platform-based optimization and agility
• Coverage across all inventory sources • Provides full visibility into spending • Avoids the inability to pivot across platform as you’re not in a singular platform
Fig. 1. How AI Digital helps during economic uncertainty.
Trend
What it means for marketers
Supply & demand lines are blurring
Platforms from Google (P-Max) to Microsoft are merging optimization and inventory in one opaque box. Expect more bundled “best available” media where the algorithm, not the trader, decides channel and publisher mix.
Walled gardens get taller
Microsoft’s O&O set now spans Bing, Xbox, Outlook, Edge and LinkedIn, which just launched revenue-sharing video programs to lure creators and ad dollars. (Business Insider)
Retail & commerce media shape strategy
Microsoft’s Curate lets retailers and data owners package first-party segments, an echo of Amazon’s and Walmart’s approaches. Agencies must master seller-defined audiences as well as buyer-side tactics.
AI oversight becomes critical
Closed AI bidding means fewer levers for traders. Independent verification, incrementality testing and commercial guardrails rise in importance.
Fig. 1. Platform trends and their implications.
Metric
Connected TV (CTV)
Linear TV
Video Completion Rate
94.5%
70%
Purchase Rate After Ad
23%
12%
Ad Attention Rate
57% (prefer CTV ads)
54.5%
Viewer Reach (U.S.)
85% of households
228 million viewers
Retail Media Trends 2025
Access Complete consumer behaviour analyses and competitor benchmarks.
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.
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