What you can achieve
What you can achieve
AI-boosted Revenue
Subscription and advertising revenue are under pressure from every direction, our AI services are built to grow both. They are integrated with the platforms you already run and measured against the outcomes that matter to your business.
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Subscription & D2C Revenue
Identify at-risk subscribers before they cancel and give your retention team the right intervention for each individual. Our churn prediction and retention modelling goes beyond probability scores to explain why each user is leaving, so you can act with confidence rather than guesswork.
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Advertising Revenue & Yield
Turn your first-party data into a genuine competitive advantage in a cookieless world. Clean-room integrations, AI-driven yield optimisation and campaign-level recommendations help your ad operations team make better decisions on live campaigns - with enough time to act on them.
B2B advertising marketplace
We helped create an innovative ad management platform that is automated, accessible, easy to use, and configurable. It is the second-largest ad platform in the UK (after Google).
£1 billion
ML forecasting models built into ad platform outperform human predictions by up to 20%, with over £1 billion in revenue booked through the platform to date.
AI-boosted Process Automation
Every hour spent on manual rekeying, repetitive tagging or slow approval cycles is an hour not spent on work that moves the business forward. The work your team was hired to do deserves more of their attention than manual processes do.
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Broadcasting & Ad Operations Supply Chain
Replace manual rekeying between agency and broadcaster systems with integrated, AI-assisted workflows. From order capture through Prisma, Planet V, Caria and Clearcast to delivery and reconciliation, automated validation, anomaly detection and error prevention built into the chain, not bolted on afterwards.
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Editorial & Content Workflow Automation
Give your team the time back that repetitive metadata work is currently taking from them. Automated tagging, transcription, classification and archive enrichment handle the infrastructure around content production, so your teams focus on the work that requires human judgement, not the work that does not.
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AI-boosted Delivery - SDLC Modernisation
Accelerate your software delivery lifecycle with AI-boosted practices already proven in production. With 11 internal AI tools operationalised and a formal maturity assessment completed in early 2026, we show you a programme that is already working.
Replacing AI hype with a clear productivity gain
A leading UK publishing company needed to move beyond AI hype and get real-world data to guide its adoption strategy safely. We designed and ran a structured four-sprint experiment – comparing agentic AI coding workflows against a limited ask-only mode.
90%
The result: a repeatable productivity gain confirmed, AI-generated unit tests consistently pushing SonarQube coverage above 90%, and a clear roadmap for company-wide AI scaling based on evidence, not assumptions.
FinDataOps
Cloud, data and AI spend in media organisations is structurally hard to control and most cost diagnostics stop at infrastructure. Get predictable, outcome-based financial governance across all three domains, not just your infrastructure bill.
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From first insight to verified savings
Get your first decision-ready cost insights within 10 working days, with no commitment beyond that. A prioritised optimisation roadmap follows, and verified savings land within 4–12 weeks - with the same engineers who wrote the roadmap implementing it, on an outcome-based commercial model.
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Cloud, data engineering & AI cost costrol
Most FinOps engagements stop at cloud infrastructure, ours covers the full cost surface. Financial governance across all your accounts, data platform efficiency across warehouses and pipelines, and AI cost predictability at the workload level - so every recommendation engine and editorial AI tool appears as a line item, not a cloud bill footnote.
Cross-platform FinDataOps for a leading UK newsbrand publisher
We delivered a cross-platform FinDataOps engagement covering AWS and GCP – 24 months of historical cloud data analysed, 130+ linked AWS accounts mapped to business functions, 18 stakeholders engaged across Product, Engineering, Finance, Commercial and Cyber.
up to 43%
Our team identified savings of 17-43% per service, including storage tier optimisation, Compute Savings Plans rebalancing and cache infrastructure migration. Full details available under NDA.
Cyber Resilience
Broadcast infrastructure, live production workflows and editorial systems create an attack surface that generic enterprise security was not designed to protect. Know where the gaps are and close them before a live incident does it for you.
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Media Crash Test
Run a board-level tabletop against the incident scenarios that actually threaten media organisations today and find out in 2–3 weeks where your resilience would actually break. Ransomware on playout, AI-augmented phishing, deepfake social engineering. You leave with a tested incident playbook, a board-ready risk summary and a 90-day remediation plan mapped against NIS2, the Online Safety Act and the EU Cyber Resilience Act.
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Resilience Build
Close the gaps the Crash Test surfaces, with engineers who understand broadcast and publishing infrastructure, not generic enterprise security applied to a media stack. Over 2-3 months, you get hardened architecture between corporate IT and on-air production, AI-augmented monitoring tuned to your workflows, and incident response capability your team can operate under real pressure.
Security audit for a broadcast content management platform
A UK media services organisation operating a platform for broadcast content management and distribution needed to understand its real security exposure. We conducted a security audit and penetration test across the platform, identified the critical vulnerabilities and delivered a clear, prioritised roadmap of improvements to strengthen its cyber resilience, without taking the platform offline.
Strategic AI Implementation
Moving from isolated AI experiments to a production-ready programme requires a clear readiness baseline, validated use cases and governance that holds up at scale. We guide media organisations through each of those steps - from the first diagnostic to live delivery.
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AI Readiness Assessment
Most media organisations are under pressure to act on AI, but few have clarity on where it will create value, or whether they are ready to deliver it. A structured assessment across four domains tuned to media data realities - data foundations, security and compliance, data quality, and organisational readiness - gives you a confident GO / NO-GO decision before major investment, with a scored report and prioritised roadmap to show for it. Clear baseline in 4–8 weeks.
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From validated pilot to production
Validate your highest-value AI use case with the engineers who will build the production version in the room from the start. Churn prediction, content recommendation, yield optimisation, editorial automation - whichever use case you choose, your executive team leaves with a governance structure, defined KPIs and a 90-day roadmap that survives contact with reality.
AI Ignition Programme
We designed and ran AI governance programme at a US market disruptor. Nine AI Explorer teams, a controlled technology stack, defined KPIs and OKRs, and 28 human risk areas addressed. Developer task turnaround improved by 8%, meeting overhead reduced, knowledge-sharing standardised across teams.
How we work
Every engagement follows the same structured approach based predefined goals and real delivery.
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Diagnose
Understand the situation before proposing a solution
A well-defined diagnostic that gives you a clear baseline - where the gaps are, what they cost you, and what to prioritise.
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Design
A prioritised roadmap tied to your business outcomes
We define what needs to change, in what order, and what measurable outcome each step should produce. The engineers who will build it are in the room from the start.
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Deliver
Build, run and measure against agreed KPIs
Outcome-based delivery - the same team that designed the solution implements it and stays accountable. Results are measured against the baseline established in the diagnostic, not against activity.
Your AI journey starts here
Thank you!
Thank you for submitting the form. We will get in touch with you soon.
Anna Mleczko
Head of Media and Advertising Practice