Helping clients win with AI Agents

Our AI Agents are developed on MCP servers enriched with custom tools, data, and workflows. This modular approach allows us to create task-driven agents that can collaborate and share capabilities, making the entire system stronger. Here are some examples already in action:

• Research Agent

This agent performs deep-dive brand analysis, covering strategy, mission, vision, competitive landscape, audience insights, tone of voice, market dynamics, and sector trends. It compiles everything into a comprehensive research report, which forms a solid foundation for creative or strategic projects.

• Pitch Agent

Designed to support new business opportunities, this agent evaluates whether a pitch or tender is relevant, gathers all necessary information, and drafts large parts of the proposal tailored to specific requirements.

• Content Agent

This agent masters a client’s tone of voice and brand guidelines, transforming raw input into polished blog posts, newsletters, or other content formats. Fast, consistent, and always on-brand.

• Light Strategy Agent

When a strategic question arises, this agent drafts an initial direction using insights from the Research Agent, ensuring every recommendation is grounded in data.

The beauty of MCP-based architecture is interoperability. Agents can leverage each other’s strengths: research informs strategy, strategy feeds content. All designed in order to create a scalable, intelligent ecosystem. Beyond internal use, we also build custom Copilot-style agents for clients, such as newsletter generators and, soon, advanced asset-generation tools that turn product photos into social-ready visuals. These solutions are not theoretical; they are already delivering measurable impact.

Why invest in AI Agents? Because they solve real challenges. Marketing teams face mounting pressure to produce more content, faster, without sacrificing quality. AI Agents address this by taking over repetitive, time-intensive tasks, reducing workload and freeing talent for high-value activities. The KPIs speak for themselves: shorter production cycles, fewer errors, and time savings.

Consistency is another major win. By centralising tone-of-voice guidelines, strategic documents, and best-in-class examples, agents ensure output remains brand-proof, even when multiple stakeholders are involved. Beyond execution, AI serves as a creative sparring partner, making tasks that once took days achievable in hours.

The cost-benefit equation is compelling. One retail client spent roughly €120,000 annually on newsletter production. Developing their AI Agent cost about €12,000. The ROI was almost immediate. Of course, we don’t build agents ‘because we can’. Every project starts with a clear, sustainable business case. That’s how we ensure technology drives real value, not vanity.

Autonomy and specialisation. While standard models rely on broad training and simple Q&A, our agents combine proprietary datasets, actionable tools, and decision-making capabilities. Ask for a single strategic document, and they’ll deliver. Give them freedom, and they’ll run research first to produce a more robust, better-informed output.