How Leading Strategy Teams are Driving Generative AI Success

Generative AI has emerged as the top tech priority for strategy teams in 2024, yet adoption remains in early stages. Based on CB Insights' research with 50+ senior strategy leaders, summarised by DeeperAutomation.

GenAI: The #1 Tech Priority

An overwhelming 94% of strategy leaders now prioritise generative AI. Forward-thinking organisations focus first on secure, ethical usage frameworks, recognising that robust data management and cybersecurity are essential foundations.

Adoption Reality Check

Despite widespread interest, only 32% of organisations have fully deployed GenAI solutions, while 54% remain in pilot phases. Other technology initiatives like data management continue to receive more implementation resources.

Key Barriers to Adoption

Research identifies several critical barriers:

• Security concerns (46%)

• Competing internal priorities (42%)

• Legal and regulatory issues (40%)

Resource allocation remains challenging as organisations balance existing commitments with emerging opportunities.

Where GenAI Is Already Delivering Value

Some departments are demonstrating compelling returns:

Customer Service (38%): Faster response times and enhanced service through predictive analytics, simultaneously reducing costs and improving satisfaction.

Marketing (30%): Personalisation and content optimisation, helping professionals work more efficiently while delivering targeted messaging.

Internal Operations: Back-office functions show high levels of pilot activity, indicating the next adoption wave will focus on streamlining internal processes.

Operations and Back-Office Transformation

Promising applications are emerging in back-office functions:

• Compliance: Automating documentation and streamlining reporting

• Finance: Reducing invoice processing time and enhancing risk management

• Operations: Optimising workflows and improving resource allocation

These applications often deliver significant efficiency gains with lower implementation barriers.

Strategic Partnerships Drive Success

A clear pattern: 85% of successful implementations involve partnerships with providers like AWS, IBM, and Microsoft. These partnerships offer pre-built models, enhanced governance, and accelerated time-to-value.

Case studies show 30-50% cost savings and up to 30% growth in customer satisfaction metrics.

Strategies for GenAI Success

Key success factors include:

1. Focus on measurable use cases: Start with specific problems where success can be clearly demonstrated

2. Leverage external partnerships: Accelerate implementation and reduce risk

3. Balance innovation with priorities: Include both quick wins and longer-term initiatives

Successful teams take a pragmatic approach that recognises generative AI's potential while acknowledging real-world constraints.

Ready to Lead the Way?

Start small, but think big. Organisations gaining competitive advantage aren't necessarily those with the largest budgets, but those taking a thoughtful approach to identifying high-value use cases and building foundations for scaled implementation.

Connect with us to explore how we can help you achieve Smarter Business Automation With Agentic AI and transform your strategy into measurable results. Let's turn these insights into your competitive advantage.