AI Readiness Audits & PoCs
Identify where AI can create value across your advertising technology and validate the most promising opportunities with AI readiness audits and proof-of-concept development.
arrow_circle_right AI READINESS AUDITS & PoCs
Are you experiencing any of these problems?
- Uncertainty about where AI can deliver real business value
- Not sure which parts of your advertising technology should incorporate AI
- Data that is fragmented, inaccessible, or not ready for AI
- Legacy architecture that makes AI difficult to integrate
- AI ideas but uncertainty about their technical feasibility
- Concerns around data privacy, security, and governance
- Pressure to adopt AI without a clear implementation strategy
arrow_circle_right THE BUSINESS IMPACT
The impact of not being ready for AI
A lack of AI readiness can lead to investment in the wrong use cases, PoCs that never reach production, increased data and privacy risks, and competitors using AI to improve their products and operations faster.
Missed opportunities to automate
Investment in low-value use cases
PoCs that never reach production
Falling behind competitors
arrow_circle_right THE HOW
How you can prepare your advertising technology for AI
Assess
Evaluate your technology, data, workflows, infrastructure, and governance to understand where you are ready for AI and where gaps exist.
Prioritise
Identify AI use cases across your products and internal operations, then prioritise them based on business value and technical feasibility.
Validate
Test high-value use cases through PoCs using your actual AdTech workflows, data, integrations, and technical environment.
Operationalise
Turn successful PoCs into production-ready capabilities by addressing scalability, security, observability, governance, and performance.
Not sure where to start?
Get in contact with our team and tell us about the problems you’re facing to find out how we can help you.
arrow_circle_right HOW WE CAN HELP
We can help you identify and validate opportunities for AI
01. Assess
Understand your AI readiness.
We’ll assess your existing technology, architecture, data, infrastructure, workflows, integrations, security, and governance to understand how prepared your organisation and AdTech platforms are for AI.
02. Identify
Find where AI can create value.
We’ll identify opportunities to apply AI across your internal processes and customer-facing technology, from workflow automation and reporting to optimisation, media planning, creative, and agentic capabilities.
03. Prioritise
Focus on the right use cases.
We’ll evaluate potential use cases based on business value, technical feasibility, data requirements, implementation complexity, risk, and time to value.
04. Design
Define how the solution could work.
We’ll design the architecture, data flows, integrations, models, agents, and workflows required to implement the selected AI use case within your existing technology.
05. Validate
Prove the concept before scaling.
We’ll build and test a focused proof of concept (PoC) to validate the solution, measure its impact, identify technical or operational constraints, and establish a clear path to production and scale.
06. Scale
Prove the concept before scaling.
We’ll build and test a focused proof of concept to validate the solution, measure its impact, identify technical or operational constraints, and establish a clear path to production and scale.
arrow_circle_right COVERAGE
The areas we cover
We can assess your readiness and validate AI use cases across all areas of your AdTech, MarTech, or data platforms.
Media planning
Automate media planning
Generate campaign recommendations
Optimise budget allocation
Automate campaign setup
Bidding & optimisation
Improve bidding decisions
Optimise pacing and budgets
Predict campaign outcomes
Automate optimisation workflows
Data & reporting
Analyse large datasets
Automate reporting and insights
Identify patterns and anomalies
Enable natural-language data access
Creative & content
Generate advertising creative
Adapt creative across formats
Personalise ads and messaging
Automate creative workflows
Operations & workflows
Automate repetitive tasks
Connect processes across platforms
Build AI agents and orchestration
Support human-in-the-loop workflows
AI foundations & governance
Assess data readiness
Evaluate architecture and infrastructure
Establish AI governance
Address privacy and security requirements
arrow_circle_right SOFTWARE
The types of software we can build
From real-time bidding (RTB) platforms to AI-powered programmatic tools, our team can design and build all types of advertising and marketing software.
AdTech platforms
- Ad servers
- Self-serve ad platforms
- Demand-side platforms (DSPs) and bidders
- Supply-side platforms (SSPs) and ad exchanges
- Ad networks
- Header bidding software
- Dynamic content optimisation (DCO) tools
- Retail media networks (RMNs)
MarTech platforms
- Analytics tools
- Consent management platforms (CMPs)
- Tag management systems
- Personalisation engines
- Measurement and attribution platforms
- Marketing automation platforms
- Email marketing tools
- Customer relationship management (CRM) tools
Data platforms
- Data management platforms (DMPs)
- Customer data platforms (CDPs)
- Data lakes
- Data clean rooms
- Reporting dashboards
- Event-tracking and data collection tools
AI
- AI agents for media planning and buying
- GenAI image and video creation
- Bid optimisation
- Performance and budget prediction
- Contextual and audience targeting
- Ad fraud detection and verification
arrow_circle_right OUTCOMES
Expected outcomes of AI readiness audits & PoCs
Assessing your AI readiness and validating use cases through PoCs allows you to focus investment on the right opportunities, reduce implementation risk, and establish a clear path from AI experimentation to production.
Clear AI opportunities
Understand where AI can create the greatest value across your technology, products, and internal workflows.
Prioritised use cases
Focus resources on AI initiatives with the strongest combination of business value and technical feasibility.
Validated concepts
Test important assumptions with working PoCs before committing to full-scale development.
Reduced implementation risk
Identify issues around data, architecture, integrations, privacy, security, and governance early.
Greater AI readiness
Address the technical and data foundations required to implement AI successfully across your AdTech environment.
Clear path to production
Define what is required to turn successful AI experiments into scalable, secure, and production-ready capabilities.
arrow_circle_right WHY US?
Why Spyrosoft AdTech?
15+ years of AdTech expertise
We understand the architecture and business logic behind advertising technology platforms.
Production engineering experience
We have experience working with high-throughput, data-intensive, business-critical systems.
2,000+ engineering specialists
We have all the required development, consulting, and engineering skills.
arrow_circle_right CASE STUDIES
Examples of projects we’ve worked on
arrow_circle_rightContact us
Want to learn more about AI readiness audit?
Get in contact with our team and find out how we can help you.
Radosław Kostecki
Business Unit Director