ENTERPRISE AI ADVISORY

AI Strategy and AI at Scale

Choose where AI matters and make it scale.

The next AI decisions will shape the enterprise

AI is moving into the operating core of the business. That changes the questions you need to answer.

Which use cases deserve investment?
What must change in the operating model?
Which platforms and providers can support production?
How will you scale without creating another layer of complexity?

Get those decisions right and AI becomes part of how the enterprise operates and performs. Get them wrong and you risk fragmented pilots, duplicated investment, unmanaged dependencies and spend that outpaces results.

ISG helps you make those decisions and turn them into an actionable path forward.

AI at Scale

Implementing AI at Scale is about deciding which use cases deserve investment, making the changes needed to support them and turning them into repeatable enterprise capability. ISG brings the strategy, operating model, provider and service delivery expertise to help you move from isolated activity to repeatable enterprise capability.

Scale AI across the enterprise

Scaling AI requires clear investment priorities and changes to how work is delivered. ISG helps enterprises identify where AI can create the most value, then align strategy, operating models, service delivery, adoption and go-to-market planning around those priorities. This enables organisations to move priority use cases beyond pilots, deploy them across the business and measure their contribution to enterprise outcomes.

Build AI into your existing workflows

ISG helps enterprises redesign workflows, roles and decision rights so AI can be used across day-to-day operations. We define which work AI performs, where people provide oversight and how accountability is maintained. This gives the business a consistent model for adopting AI across functions and measuring its impact on performance.

Redesign service delivery around AI

ISG helps enterprises identify where AI can improve outsourced services and redesign delivery around automation and human expertise. We align provider choices, commercial terms and performance measures with the target service model. This helps improve efficiency and service quality while allowing the model to adapt as AI capabilities develop.

Take AI-enabled services to market

ISG helps define the market position, target buyers, commercial model and delivery requirements. We develop the sales narrative, onboarding approach and launch plan so that your teams can sell and deliver the offering consistently, with a clear path from proposition to revenue.

Why Choose ISG

100 +

organizations supported with AI-focused research and advisory services in the past 12 months

630,000 +

AI data points analyzed

$ 200 B

in technology spend influenced annually

20 +

years of research and advisory experience

Frequently Asked Questions

How should we prioritize which AI use cases to fund first?

Prioritize by decision impact, not technical feasibility. ISG evaluates where AI measurably improves a decision or workflow, where the organization is ready, and where the business case holds. The output is a ranked, investable set of opportunities with a clear value thesis for each, and a defensible view of what to fund, pause or stop.

How do you build a business case for enterprise AI investment?

Start from the decision AI will improve, then quantify cost, value, risk and the change required across data, process, workforce and operating model. A credible case defines how operational impact converts to financial result, and how that result will be measured. ISG produces investment-grade cases leaders can fund with confidence.

Why do AI pilots stall before reaching production?

The barrier is usually organizational, not technical. Scaling requires governance, workforce readiness, operating model alignment and sustained executive ownership, and most pilots are designed without them. Production use cases have roughly doubled since 2024, but readiness, not tooling, now sets the ceiling on how far AI scales.

How do you measure the ROI of an enterprise AI initiative?

Track value along a defined path: the system performs, people adopt it, the process improves, the business outcome shifts, and financial value is captured. Projected ROI is not evidence. ISG measures each step so leaders can tell whether value is landing and intervene early when it is not.

When should a company bring in an independent advisor for AI strategy?

When ambition outpaces a clear path to value, when competing use cases need prioritization, when an investment-grade case is required, or when pilots are not scaling. Independence matters here. ISG advises without implementation bias, anchored in analysis of more than $2.6 billion in tracked AI spend.

Why do most enterprise AI initiatives fail to deliver measurable value?

Most stall because they target use cases rather than the decisions AI should improve, and never build a measurement path from system performance to financial result. ISG research across 2,400 enterprise use cases shows returns concentrating in compliance, risk and quality control, not the growth and cost outcomes enterprises set out to achieve.

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