Put AI to Work: Real ROI and Efficiency for Agencies
The biggest opportunity AI offers agencies is freeing up your team. Reduce manual work, speed up delivery, cut costs - and deliver ROI in weeks, not months.
In this live session, Decoder's leadership team: Jonathan Milne (Co-Founder & CBO), Peter Dolukhanov (Founder & CEO), and guest expert Jules Love (Co-Founder, Spark AI) walked agencies through the practical realities of putting AI to work across their operations.
Learn how leading agencies are moving beyond experimentation to operationalize AI and deliver measurable business impact.
What you'll learn:
- How to move from AI pilots to operational workflows that deliver ROI in weeks
- Real-world examples of Generative AI and Agentic AI transforming agency operations
- Three live demos showing agentic AI workflows: content creation, sales automation, and client reporting
- A practical Operational AI Framework to identify use cases, measure impact, and scale what works
Session Replay
Session Agenda
- AI adoption
The session explored how agencies can move beyond experimentation and finally operationalize AI to deliver measurable business impact. Attendees learned how leading agencies are adopting both Generative AI and Agentic AI, why organizations often get stuck in pilot mode, and how agent-powered workflows can dramatically increase efficiency, quality, and output across teams.
- Generative AI vs Agentic AI
The webinar introduced Decoder's AI Transformation Maturity Model, shared current adoption benchmarks from UK and US agencies, and clarified the differences between Expert, Co-Pilot, and Auto-Pilot agents.
- Adoption roadblocks agencies face
The hosts unpacked the biggest barriers holding agencies back from AI success: unclear business goals, poor integration, low data readiness, lack of change management, and difficulty proving ROI, and offered practical ways to overcome them.
- Real agency examples
This included three full live demos showing how agentic AI can transform everyday workflows: Marketing Content Agent generating blog topics from Airtable research, writing an SEO-optimized article, publishing it to Webflow, and creating a LinkedIn post; Sales Co-Pilot transforming meeting transcripts into insights, follow-up emails, and a structured proposal draft; and Auto-Pilot Reporting Agent generating complete client reports and Google Slides presentations using real client data.
- Our guide to success
Decoder shared a clear, repeatable Operational AI Framework that agencies can use internally to identify high-value use cases, set success metrics, design effective pilots, measure impact, and scale what works. Attendees left with a practical roadmap for adopting operational AI in a structured, measurable way, enabling their teams to improve efficiency, elevate creative and strategic output, and deliver stronger results for clients.
- Q&A
The session concluded with a Q&A where attendees asked questions about implementing AI in their agencies, addressing specific challenges, and learning more about Decoder's approach to operational AI.
Meet the Speakers
Peter Dolukhanov
Founder & CEO, Decoder
Peter is a technology leader with 20+ years' experience in digital transformation and AI. He previously co-founded Nice Agency (acquired by Karmarama and later Accenture Interactive) and Decoded, where he led major technology strategy and product development programs. At Decoder, Peter helps organizations unlock Operational AI that delivers measurable ROI and will share how agencies can scale from pilots to platforms.
Jonathan Milne
Co-Founder and Chief Business Officer, Decoder
Jonathan has spent two decades building and scaling technology companies. At Decoder, he works with agencies to embed AI into workflows that save time, improve efficiency and drive growth. His career includes senior roles at Inrupt (alongside Sir Tim Berners-Lee) and Celtra, where he built global revenue teams. Jonathan will share real-world examples of agencies already benefiting from Operational AI.
Jules Love
Co-Founder, Spark AI
Jules Love is Co-Founder at Spark AI and teaches on the Oxford University Business School's 'AI in Business' executive diploma, he studied 'Applied Generative AI' at MIT and believes AI allows us to create things that were once in our wildest dreams.
Jules has a long career in the creative industries including running a highly successful commercial photography business working for some of the world's biggest brands including Canon, Samsung, Google, Unilever, and Hilton. As the founder of Spark, a pioneering AI transformation consultancy, Jules partners with agencies and in-house teams to embed generative AI into strategy, culture, and operations.
Why agencies choose Decoder
Decoder helps agencies turn AI from hype into measurable impact. We don't focus on flashy demos - we apply intelligence to the everyday workflows that drain time and capacity.
From account managers building decks, to strategists buried in research, to producers managing handoffs, Decoder delivers custom agents and automations that give teams back hours every week. Those hours translate directly into more projects shipped, sharper insights delivered and fewer late nights.
Our approach combines strategic consulting with a flexible AI orchestration platform built around four modules: Connect, Assist, Analyze, and Automate. This lets agencies start small, scale quickly and prove results in concrete human terms - like hours saved per role, per week.
By focusing on Operational AI, Decoder doesn't just improve efficiency. We transform how teams work, freeing people to focus on creativity, decision-making and growth.
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