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Case Studies
Recent Work
AI-Powered Creative Optimisation for a Leading UK Digital Agency
Client Overview
Industry: Award-Winning Digital Marketing Agency
Recognition: Premier Google Partner, Microsoft Elite Partner, Facebook Business Partner
Accolades: Multiple Google Premier Partner Global Awards winner, Microsoft Advertising Awards winner, Top 5 UK Digital Agency (The Drum UK Digital Agency Census 2021)
Services: Performance marketing, social media advertising, creative strategy, data analytics
Challenge
A prestigious UK-based digital marketing agency with elite partnerships across major platforms was seeking to enhance their creative optimisation processes for their luxury retail clients. Despite their extensive industry accolades and technical expertise, they faced several AI and automation challenges:
- Manual creative analysis processes were time-consuming and resource-intensive
- Difficulty translating performance data into actionable creative insights
- Limited automation in their creative suggestion and generation workflows
- Need for scalable AI solutions that maintained brand integrity for premium clients
Solution: AI-Driven Creative System Implementation
Our team deployed a sophisticated AI and automation platform (Dial360) with three core technological components:
1. Automated Creative Performance Analysis
We implemented an AI-powered analytics system that:
- Automatically processes campaign creative data across multiple platforms
- Applies machine learning algorithms to identify patterns in creative performance
- Uses advanced filtering to isolate specific variables (excluding dynamic product ads from analysis)
- Generates automated performance rankings based on client-specific KPIs
2. AI-Powered Creative Optimisation Engine
We deployed an artificial intelligence recommendation system that:
- Analyses visual components of top-performing creatives
- Identifies specific design elements contributing to success
- Automates the generation of improvement suggestions for:
- Color palette optimisation
- Call-to-action refinement
- Text hierarchy enhancement
- Visual composition adjustments
3. Generative AI Creative Platform
We integrated an advanced AI image generation system that:
- Creates on-brand creative concepts based on specific prompts
- Offers multiple rendering styles with automated variations
- Includes parameter-based controls for precise output management
- Maintains brand consistency through AI guardrails
AI & Automation Implementation
Phase 1: AI Brand Tone Framework
- Developed AI-powered brand tone analysis system
- Created automated brand personality classification
- Implemented natural language processing for voice consistency
- Built machine learning models for target audience alignment
Phase 2: Automated Performance Analytics
- Deployed automated data collection from advertising platforms
- Implemented real-time performance monitoring with ML-based insights
- Created automated segmentation of creative performance by audience type
- Built custom AI algorithms for creative element attribution
Phase 3: Machine Learning Optimisation
- Applied computer vision analysis to identify visual patterns in successful creatives
- Implemented automated A/B testing recommendations
- Developed predictive performance models for creative elements
- Created automated reporting with actionable intelligence
Phase 4: Generative AI Integration
- Deployed custom-trained image generation models
- Implemented prompt engineering frameworks for consistent outputs
- Created automated quality control for AI-generated assets
- Built integration pathways between analytics and generation systems
Results: AI & Automation Impact
The implementation of AI and automation technologies delivered significant improvements to the agency’s creative workflows:
Efficiency Metrics:
- 85% reduction in time spent on creative analysis through automation
- 65% faster insights-to-action through AI-powered recommendations
- 70% reduction in creative briefing cycles with automated suggestions
- 90% decrease in manual reporting tasks
Performance Enhancements:
- 42% improvement in creative testing efficiency through ML-powered predictions
- 53% increase in creative iteration speed with AI-assisted generation
- 78% more accurate creative performance forecasting
- 63% greater precision in identifying specific elements driving performance
Client Service Impact:
- Ability to scale personalised creative analysis across multiple accounts
- Data-driven creative recommendations backed by advanced analytics
- Rapid prototype generation for client approval
- Consistent methodology across client portfolio
Agency Testimonial
“Implementing this AI-powered creative system has transformed our approach to creative strategy. The automation capabilities have freed our strategists to focus on higher-level thinking while the AI handles the data-heavy analysis. Our ability to quickly identify patterns, generate recommendations, and create new concepts has given us a significant competitive advantage in pitches and client retention.”
— Head of Innovation, Award-Winning UK Digital Agency
Recent Work
Transforming Client Services with AI-Powered Business Co-Pilots
Client Overview
Industry: Leading Independent Media Agency
Recognition: Campaign Media Awards Winner, The Drum Marketing Awards Finalist
Specialisation: Integrated media planning, digital strategy, performance marketing
Client Portfolio: Mid-to-large sized businesses across retail, financial services, and hospitality sectors
Challenge
This award-winning independent media agency sought to provide more personalised, data-driven service to clients while addressing several operational challenges:
- Account managers were spending excessive time on repetitive tasks like copywriting and basic reporting
- Inconsistent brand voice across client deliverables created quality control issues
- Knowledge silos formed when key team members were unavailable or left the company
- Scaling personalised service across a growing client base without proportionally increasing headcount
- Client-specific information was scattered across various platforms, making it difficult to access quickly
Solution: AI Co-Pilot Implementation
We deployed our proprietary generative AI technology to create customised business co-pilots for the agency’s account teams, built on their proprietary client data and expertise:
1. Custom AI Assistants for Key Accounts
For each major client, we developed dedicated AI assistants powered by:
- Client brand guidelines and tone of voice documentation
- Historical campaign performance data
- Account team expertise captured through knowledge base entries
- Client-specific business objectives and KPIs
2. Retrieval Augmented Generation (RAG) System
We implemented a sophisticated RAG architecture that:
- Created a vector database (Pinecone) containing all client documentation
- Integrated with various AI models (GPT-4, Claude)
- Combined internet-based information with the agency’s proprietary client data
- Delivered highly contextual, client-specific outputs
3. Customised Folder Structure Implementation
We established an organised knowledge management system with:
- Purpose-specific folders with clear objectives and instructions
- Strategic knowledge base attachments for consistent AI responses
- Template-level standardisation for cross-client consistency
- Comprehensive user permission management
Implementation Process
Phase 1: Knowledge Capture and Organisation
- Conducted workshops to identify key knowledge areas for each client
- Developed standardised templates for knowledge capture
- Established folder taxonomies based on agency workflows
- Created clear instructional prompts for each knowledge domain
Phase 2: AI Training and Customisation
- Trained the AI co-pilots on client-specific brand voices
- Fine-tuned response parameters based on use case requirements
- Implemented custom RAG mechanisms for different content types
- Created specialised assistants for specific tasks (copywriting, reporting, etc.)
Phase 3: User Onboarding and Integration
- Trained account teams on effective prompt engineering
- Established best practices for knowledge base maintenance
- Integrated the system with existing agency workflows
- Implemented feedback loops for continuous improvement
Phase 4: Expansion and Optimisation
- Rolled out co-pilots to additional client accounts
- Enhanced capabilities based on usage patterns and feedback
- Implemented cross-assistant knowledge sharing for broader insights
- Developed metrics to quantify efficiency and quality improvements
Results
The implementation of our AI co-pilot technology delivered transformative improvements across the agency’s operations:
Efficiency Gains:
- 67% reduction in time spent on routine copywriting tasks
- 73% faster generation of client-ready initial campaign concepts
- 82% decrease in time required to prepare client presentations
- 58% reduction in internal communications seeking client information
Quality Improvements:
- 93% client approval rate on AI-generated first-draft copy
- 45% increase in creative concept exploration for pitches
- 89% consistency score in brand voice adherence
- 64% improvement in response time to client queries
Business Impact:
- Ability to service 31% more clients without additional headcount
- Consistent service delivery during staff absences or transitions
- More strategic use of senior team members’ time
- Enhanced client satisfaction scores (+27% year-over-year)
Client Testimonial
“This AI co-pilot technology has revolutionised how our teams service clients. Our account managers now have intelligent assistants that understand each client’s brand, history, and objectives as well as any team member. This solution hasn’t replaced our people – it’s made them significantly more effective by handling routine tasks and providing instant access to all client knowledge. The result is more time for strategic thinking and a level of personalised service that wasn’t previously possible at scale.”
— Head of Client Services, Independent Media Agency
Recent Work
Multilingual AI Assistant for Leading Dental Practice Management Platform
Client Overview
Industry: Dental Practice Management Software
Market Presence: Used by 5,000+ dental practices over 8 countries
Specialisation: All-in-one cloud-based dental practice management solution
Challenge
This established dental software provider faced growing challenges with their expanding global user base:
- Support team was overwhelmed with basic navigation and “how-to” questions
- International expansion created multi-language support requirements
- User onboarding times were extending due to application complexity
- High abandonment rates during trial periods (27%)
- Inconsistent user experiences across different practice roles (dentists, hygienists, front desk)
- Growing feature set made comprehensive documentation increasingly difficult to navigate
Solution: Multilingual AI Application Companion
We developed an intelligent AI assistant deeply integrated with the dental management platform:
1. Application-Native AI Guide
The solution featured a contextually-aware assistant that understood the dental software’s functionality:
- Built with comprehensive knowledge of the entire platform’s capabilities
- Designed to provide step-by-step guidance for all application functions
- Developed with workflow awareness to anticipate next steps
- Created with role-based support tailored to different user types
- Engineered to provide concise, actionable directions
- Positioned as an always-available embedded support resource
2. Advanced Multilingual Capabilities
The AI companion featured sophisticated language capabilities:
- Automatic language detection for user interactions
- Native-quality responses in multiple languages including Arabic, English, Spanish, and French
- Culturally appropriate communication styles
- Maintenance of technical accuracy across all languages
- Ability to switch languages mid-conversation as needed
- Dental-specific terminology knowledge in all supported languages
3. Contextual Integration Architecture
The system was deeply integrated with the platform for intuitive support:
- Page and feature-aware assistance
- Ability to highlight relevant UI elements during guidance
- Access to user history and common workflows
- Integration with practice-specific configurations
- Awareness of user permissions and roles
- Knowledge of regional compliance requirements
Implementation Process
Phase 1: Knowledge Acquisition
- Conducted comprehensive mapping of the dental platform’s functionality
- Documented all user workflows and common procedures
- Created step-by-step guides for every feature
- Developed specialised knowledge for different user roles
- Built multilingual knowledge base with dental-specific terminology
Phase 2: AI Training and Integration
- Trained the AI on platform navigation and troubleshooting
- Developed language detection and multilingual response capabilities
- Implemented contextual awareness of user location within the application
- Created guidance protocols with visual indicators
- Established integration points throughout the user interface
Phase 3: Initial Deployment
- Rolled out to a select group of diverse practices
- Implemented detailed usage analytics and feedback mechanisms
- Established performance baselines across languages
- Monitored accuracy and effectiveness metrics
- Created continuous learning mechanisms from user interactions
Phase 4: Expanded Capabilities
- Added proactive guidance for complex workflows
- Implemented feature discovery recommendations
- Enhanced multilingual capabilities with additional languages
- Developed practice-specific learning to improve personalisation
- Created guided interactive tutorials for new users
Results
The implementation of the AI dental software companion delivered significant improvements:
Support Impact:
- 78% reduction in basic navigation support tickets
- 64% decrease in onboarding support requirements
- 83% of user questions resolved without human support intervention
- 91% positive feedback rating across all language interactions
User Adoption:
- 47% reduction in time-to-proficiency for new users
- 56% increase in feature utilisation across the platform
- 38% improvement in trial-to-paid conversion rate
- 29% increase in user-reported satisfaction scores
Business Outcomes:
- 52% reduction in support personnel costs despite user base growth
- 43% improvement in customer retention rates
- 67% increase in international market adoption
- 31% higher engagement with advanced platform features
Client Testimonial
“The multilingual AI assistant has transformed how our users interact with our dental practice management platform. The ability to provide instantaneous, contextual guidance in the user’s preferred language has dramatically improved adoption rates and reduced support requirements. Our Middle Eastern market expansion has been particularly successful, with Arabic-speaking practices reporting they feel fully supported despite the complexity of our solution. This technology doesn’t just answer questions—it actively guides users to become more proficient with our platform.”
— Chief Product Officer, Dental Management Software Provider
Recent Work
AI-Enhanced Mental Health Support
Client Overview
Industry: Behavioral Health Services
Specialisation: Evidence-based therapeutic interventions, clinical psychology, mental health treatment
Size: Multi-location practice with 35+ licensed clinicians
Challenge
This established behavioral health provider faced growing demand for their services amid several industry-wide challenges:
- Increasing wait times for initial appointments (4-8 weeks on average)
- Limited after-hours support for clients experiencing non-emergency concerns
- High administrative burden on clinicians reducing direct client care time
- Need for consistent between-session support to reinforce therapeutic progress
- Difficulty scaling personalised care while maintaining clinical standards
- Staff burnout from documentation and follow-up responsibilities
Solution: AI-Enhanced Therapeutic Support System
We developed a sophisticated AI-based therapeutic support system that extended the reach and effectiveness of the practice’s clinical staff:
1. AI Clinician Assistant Development
The core of the solution was an AI system trained to embody the therapeutic approach and expertise of the practice’s clinicians:
- Created using extensive knowledge transfers from certified psychologists
- Trained specifically in evidence-based modalities (CBT, DBT, ACT)
- Developed with deep understanding of ethical guidelines and boundaries
- Engineered to maintain a compassionate, non-judgmental conversational style
- Built with sophisticated emotional intelligence capabilities
- Designed to recognise crisis situations requiring human intervention
2. Knowledge Integration Architecture
The system incorporated multiple knowledge bases to ensure clinical accuracy:
- Curated content from peer-reviewed psychological research
- Real-world therapeutic dialogue patterns (anonymised and ethically sourced)
- Evidence-based intervention frameworks and protocols
- Clinician-approved responses to common client scenarios
- Practice-specific treatment philosophies and approaches
3. Human-AI Collaborative Framework
The solution was designed as an extension of the human clinical team, not a replacement:
- Secure integration with existing electronic health record systems
- Clinician oversight and review capabilities
- Customisable therapeutic pathways for individual clients
- Seamless escalation protocols for complex situations
- Detailed interaction analytics for clinician review
Implementation Process
Phase 1: Clinical Knowledge Acquisition
- Conducted extensive interviews with the practice’s senior clinicians
- Documented therapeutic approaches and conversation patterns
- Developed comprehensive response frameworks for various presenting issues
- Created detailed protocols for maintaining therapeutic alliance
Phase 2: AI Training and Validation
- Built supervised learning datasets from anonymised therapeutic conversations
- Trained the AI on clinician-approved responses to various scenarios
- Implemented safeguards for recognising crisis situations
- Conducted rigorous testing against clinical standards
- Refined the system through iterative feedback from senior clinicians
Phase 3: Controlled Deployment
- Initial rollout limited to between-session support for existing clients
- Implemented with clear disclosure of AI assistance to clients
- Established strict boundaries around appropriate use cases
- Created comprehensive monitoring protocols
- Developed detailed metrics for measuring therapeutic effectiveness
Phase 4: Scaled Integration
- Expanded to initial assessment support under clinician supervision
- Added specialised modules for common presenting concerns
- Implemented personalisation based on individual treatment plans
- Created client-specific memory and continuity of care
- Developed continuous improvement feedback loops
Results
The implementation of the AI therapeutic support system delivered significant improvements across multiple dimensions:
Clinical Outcomes:
- 42% increase in therapy homework completion rates
- 38% reduction in symptom regression between sessions
- 67% of clients reported feeling more supported in their treatment journey
- 29% improvement in treatment adherence metrics
Operational Improvements:
- 61% reduction in wait times for initial appointments
- 73% decrease in administrative documentation time for clinicians
- 189% increase in available after-hours support touchpoints
- 47% reduction in non-emergency calls outside office hours
Provider Impact:
- 35% increase in clinician satisfaction scores
- 27% reduction in reported burnout symptoms
- 19% improvement in clinician retention
- 43% increase in direct client care time
Client Testimonial
“Our AI therapeutic assistant has transformed how we deliver care. By taking on supportive conversations, documentation assistance, and between-session check-ins, it’s allowed our clinicians to focus on the complex therapeutic work that requires human expertise. Clients receive more consistent support throughout their treatment journey, and our team experiences less burnout. Most importantly, the technology maintains the compassionate, non-judgmental approach that’s central to our practice philosophy.”
— Clinical Director, Behavioral Health Provider
We design and implement intelligent AI solutions that transform business challenges into competitive advantages. Our custom AI agents and automation systems help companies reduce costs, improve efficiency, and drive sustainable growth.
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