Applied AI Advisory

Disruption (AI) is here.

Are you on the right path?

You need to figure out how to weave AI into your business model as a top agenda item. But how can you determine the right moves, cut through the hype, avoid falling for the wrong vendor marketing pitches, and get the full value out of your investments?

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To truly unlock the value of AI, you need to go beyond looking at your existing business processes and consider how you can reimagine your business as an AI-augmented organization. Leading enterprises are already getting started.

ISG sees three AI transformation paths in the market today, each with their own strengths and pitfalls to avoid:

three AI adoption paths

Many organizations have a few AI experiments that show promise, and now need to achieve implementation at scale without cost overruns and liabilities.

Top Challenges

  • Determining which AI projects to scale based on ROI and impact.
  • Selecting the right partners for scaling AI effectively.
  • Integrating AI at scale without disrupting existing processes.
  • Determining market cost for AI services.

Guidance

  • Focus on strategic alignment
  • Invest in infrastructure
  • Foster cross-functional use cases
  • Develop an AI talent strategy
  • Establish metrics for success

Some organizations have started AI projects in multiple departments but lack a central vision.

Top Challenges

  • Establishing centralized governance and standards for AI projects.
  • Evaluating and selecting the enterprise-wide software and provider landscape.
  • Determining market cost for AI services.
  • Balancing innovation with consistency and control.
  • Ensuring effective communication and coordination across different AI initiatives.

Guidance 

  • Implement governance frameworks
  • Prioritize and streamline projects
  • Leverage centralized platforms
  • Encourage knowledge sharing
  • Conduct regular reviews

Some organizations are getting differing messages from multiple partners, their industry community and the market and need to determine where to focus first.

Top Challenges

  • Identifying the most valuable and feasible starting points for AI integration.
  • Understanding the foundational requirements for AI adoption.
  • Deciding on the right partners for AI needs.
  • Determining with whom should you implement use case X or proof of concept Y.
  • Overcoming analysis paralysis due to overwhelming options and information.

Guidance

  • Conduct a needs assessment
  • Start small and scale
  • Seek external expertise
  • Focus on data readiness
  • Build internal awareness and buy-in

Whichever path you're on, ISG can help:

Determine a future vision

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ISG provides readiness assessments, hands-on executive strategy development workshops, industry-specific research and proven processes for selecting the right use cases & requirements for your org.

Find the right partners

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With a strategy in hand, ISG helps you build a business case and source the right software & service providers to achieve ROI goals, fund future efforts and set you up for value realization and scaling success. 

Rapid transformation

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Our pure-digital operating model provides a powerful blueprint to reimagine your enterprise with AI and nurture innovation, helping you optimize business operations at every level.

Realize value at scale

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To achieve the promise of your investments, ISG provides OCM, a strategy realization office, governance via our AI control plane, and risk mitigation with AI risk insurance.

Our Methodology for Achieving ROI from Enterprise AI

Based on our research on and experience with the current state of the applied generative AI market, we’ve developed the optimal path for enterprise AI adoption. Talk to an ISG advisor for support on your specific AI needs, partner ecosystem and decision making.

Talk to an ISG Advisor
ISG Methodology for Achieving ROI from Enterprise-grade AI

Not your average IT architecture:

Our AI architecture is specific to adopting generative AI across your business. 

ISG Reference Architecture for GenAI

Our vision for the recommended architectural layout strategically positions generative AI as an industry-agnostic selection of relationships, grouping components as conceptual building blocks. At its core, a cognitive infrastructure forms the base foundation on which everything else is built. With this strong foundation in place, we envision the AI control plane and data layer as robust pillars for support. These pillars should serve as guardrails for your strategy and AI operations.

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Assessing the AI Market

The market is rapidly moving to take advantage of AI capabilities. Some industries are moving quicker than others, with use cases and technology assets to support specific needs. ISG is providing a full, complimentary report assessing the AI market current state and trends to help you get started. 

Download our AI Market Report     

But don't just take it from us.

Hear from clients we're working with today:

“I want to bring in ISG early to structure the sourcing guardrails, categories and pricing for AI.” 
- a large North American Bank

 

“ISG is akin to a fiduciary for us as a client – a trusted, independent third-party with expertise on how to build our GenAI approach.” - one of the top US financial institutions
“[ISG] not only highlighted issues we hadn’t considered but also provided practical strategies for addressing them. Their insights were instrumental in refining our operational framework." - large global travel & entertainment co.
“We wanted ISG in right at the start of our journey so we can cut through the hype and do this right the first time. This is moving so fast we need to avoid any missteps." 
- one of the top 15 US banks.

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