Empowering growth through AI Agents
The rapid development of generative AI has sparked a wave of innovative tools and strategies, and C-level executives are increasingly looking to harness this potential for sustainable growth. At TRY dig’s recent seminar, experts and practitioners converged to share insights on leveraging AI agents — especially in the context of marketing, customer experience, and innovation.
Below is a condensed overview of the key takeaways Distictio wrapped up, focusing on how senior leaders can apply these insights to drive their organizations forward.
1. AI always starts with data - “AI is only as good as the data you feed it.”
AI agents thrive on structured, high-quality data. To unlock real value, organizations must:
- Consolidate data sources: Bring together all relevant data—internal metrics, customer behavior, competitor insights, and broader market signals—into a single, accessible location.
- Focus on data quality: The accuracy and completeness of your datasets directly influence the AI’s effectiveness and reliability.
Key consideration for C-Level
Ensure that your organization invests in robust data infrastructure and governance. A well-defined data strategy is the foundation for any AI-driven initiative.
.
2. The AI + IQ synergy drives growth
A recurring theme was the importance of combining artificial intelligence (AI) with human intelligence (IQ). Generative AI can analyze vast amounts of data, propose solutions, and even generate content, but it needs human context, creativity, and oversight to ensure relevance and quality.
- Human oversight corrects “hallucinations”: AI may generate inaccurate or misleading information. Proper oversight ensures critical mistakes are caught—an essential layer in mitigating risk.
- Creative collaboration: Tools like Midjourney and Suno can rapidly create images based on moodboards, jingles, or music, but human direction is critical to maintain brand identity and emotional resonance.
- Continuous improvement: As AI learns from new data and real-time user feedback, human teams refine the prompts, re-check outputs, and align them with strategic goals.
Key consideration for C-Level
Frame AI not as a replacement for human capability but as an augmentation. Empower your teams with training in prompt engineering and generative AI so that humans and AI work in tandem.
.
3. Beyond coding – “AI as a language-centric tool”
AI development is increasingly a linguistic challenge, not just a coding one. Writing effective prompts (the instructions given to AI models) requires clarity of intent and understanding of how AI interprets language.
- Prompt engineering: Organizations are building libraries of prompts — essentially best-practice templates. By refining prompts, companies can improve the relevance, tone, and accuracy of AI outputs.
- Cost considerations: More complex or frequent AI interactions can increase overhead. However, a well-crafted prompt can reduce trial-and-error, cutting costs in the long run.
Key consideration for C-Level
Invest in internal “prompt libraries” and train teams to utilize them effectively. This fosters a culture where both technical and non-technical teams can interact with AI efficiently.
.
4. AI in marketing, automation, and customer experience
Several practical applications emerged from the seminar:
Automatic marketing and SEO
- AI tools excel at content creation, meta tagging, and ensuring consistent use of keywords.
- Real-time optimization helps organizations stay ahead in search engine rankings.
Customer support
- Chatbots and intelligent agents can streamline customer queries, reduce response times, and improve satisfaction.
- They also assist with tasks like return processes and troubleshooting, freeing human agents for higher-value interactions.
Competitive insights
- By centralizing competitive data, AI can spot patterns and predict market shifts.
- This enhanced visibility helps decision-makers seize emerging opportunities.
Task allocation
- Determine where AI performs best (e.g., data crunching, pattern recognition, repetitive tasks) and where human intervention is critical (e.g., empathy, nuance, strategic thinking).
Key consideration for C-Level
AI should be integrated into existing workflows in a way that complements and amplifies human strengths. The future winners will be those who effectively distribute tasks between authentic (human) and artificial intelligence.
.
5. Preparing for the next wave of AI tools
The seminar highlighted the ever-growing ecosystem of AI applications:
- “There’s an AI for that” – platforms like theresanaiforthat.com and Product Hunt showcase emerging AI solutions for diverse business needs.
- Bing AI and Perplexity – new AI search engines providing sources and citations, crucial for decision-making and compliance.
- NotebookLM – an evolving Google Labs project that allows teams to add internal data and generate insights quickly, potentially accelerating content creation and research.
Key consideration for C-Level
Stay informed and agile. Encourage teams to explore these platforms and identify where new tools can fill gaps in your customer journey, marketing strategy, or internal processes.
.
Charting the path to growth with AI
AI and its impact on innovation, marketing, and operational efficiency is accelerating. Yet the true game-changer is how AI and human expertise combine to drive profitable growth. For C-level leaders, the challenge is twofold:
- Lay a robust data foundation that enables AI to operate effectively.
- Foster a culture of collaboration between technology and your teams, ensuring that human insight refines AI outputs—and vice versa.
By balancing these priorities, businesses can navigate the AI revolution confidently, all while positioning themselves as industry frontrunners in a rapidly evolving digital landscape.
A big thank you to TRY Dig for an insightful and excellent seminar.
Frokostseminar: Slik kan AI-agenter effektivisere og skape innovasjon
Rasmus Andersson, Head of Technology i Cervera
Kristian Nordtømme , CCO i Fyr
Kaare Øystein Trædal, CCO i TRY Dig