AI Accelerator Framework

6 weeks to get in the race with AI

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Services Overview

The promise of Artificial Intelligence (AI) is limitless, particularly when it comes to its ability to strengthen and enhance customer experience, free teams from manual toil, enhance decision making, and unlock new revenue potential. But knowing where and how to begin with AI — and pre-baking ROI into use case identification — can often pause teams before they even begin.

Our 6-week AI Accelerator Framework helps you ramp with AI swiftly, from pinpointing processes and activities that can most benefit from AI adoption to ensuring your tech and data ecosystem are primed for success. We demystify AI and show you how and where so that you can adopt AI with confidence, ease, and impact.

Click each Stage to learn more about the journey we’ll go on together, starting with Week 1: Prioritize Use Cases.

Prioritize Use Cases Prioritize Use Cases
Data Data Tech Tech
Align Ecosystem Align Ecosystem
Build In Velocity Build In Velocity

PRIORITIZE USE CASES

Through design thinking Insights Sessions, together we’ll articulate a shortlist of key problems and opportunities against which AI/automation could be applied. At the end of insights gathering, we’ll provide use case recommendations for the best contenders for AI and automation lift, mapped against their ROI feasibility and impact via a Prioritized Matrix.

REVIEW DATA

Now that we know the use cases against which we want to apply AI, we need to perform an analysis of both your data and technical readiness.

We start with an examination of your data ecosystem: look at your data quality, determine your ability to create a Ground Truth training set, explore your governance, ethics and compliance practices, etc. Then we move on to your Tech ecosystem.

REVIEW TECH

Before deciding which initiatives to act on first, we need to look at the technical components at play – your organization’s data and the technology platforms you use. If possible, we’ll meet with your IT, BI, and application administrators – including business users who manage key applications – to get a sense of your current data and technology ecosystem. Findings from this phase will be delivered in our “State-of-the-Data” report.

CHART THE COURSE

At this point, you have gained both clarity on the ways AI can have an impact on achieving your goals, and context of how these initiatives can integrate with your data and technology environment. Next, we combine this knowledge to determine an AI Roadmap. We’ll work with you to define which projects should be undertaken right away, while striking a balance between longer-term projects that will deliver the highest impact and quick wins that help gain momentum and buy-in.

SUSTAIN MOMENTUM

Momentum has built over the last few weeks, the roadmap to execution is clear, and now it’s about sustaining momentum. This stage centers around mobilizing your teams to deploy your AI roadmap previously identified so that you are not only fostering an AI-ready culture, building data literacy, and leveling up your team’s skill sets, but also embarking on the next steps of your AI journey.

Quick Facts

  • Initiate and/or advance your AI efforts org-wide
  • Pinpoint use cases against which AI can be applied
  • Tap experts to assess technical and data readiness
  • Pre-bake ROI and impact into AI implementation
  • Receive fit-for-purpose AI recommendations
  • Demystify AI impact for you and your team
  • Craft a culture of AI adoption and comfort
  • Strengthen your AI literacy and competency

From the Accelerator Team

"It’s important to identify places to integrate AI at the points at which humans and machines come together. When leveraged powerfully, AI makes humans superhuman. But when leveraged incorrectly, it loses effectiveness or degrades end-user experience in the process."

Walter McAdams, Chief Engineer, Digital Solutions

Helping teams apply AI to ...

Combat Manual Toil

With half the global workforce drowning in manual work (Enate), AI and automation have become top contenders to combat manual toil, diminished productivity, and workflow errors and redundancies. AI can be positioned to help (not replace) team members by freeing them from tedious tasks and manual burden, while improving accuracy of output. Tap AI to handle the repetitive and tedium, freeing your teams to get back to the activities they love.

Scaling Wow Cutsomer Experience

Being able to consistently deliver amazing experiences presents challenges with scale, but through AI it is possible to reinvigorate your customer experience without losing the humanness as it scales. Tap SQA Group to provide AI-powered solutions that enable you to provide 24/7 customer support, intelligently recommend products and services to target customers, and seamlessly read the minds of your current and future customers.

Unearth Dark Data Insights

AI makes difficult things easy and impossible things possible. Being able to analyze unstructured data like photos, social media, videos, etc., process large data sets to predict the future, and identify patterns that would take humans years to recognize. Find hidden insights sitting within your data that can have a direct impact on service refinement, growth expansion, pricing strategies, sales journeys, and so on.

Intelligent Automation & DevOps

AI is not just for the marketing and sales team. Software and product teams are increasingly leveraging AI to automate DevOps tasks, such as continuous integration/continuous delivery (CI/CD) and infrastructure management; maintain a dependable pace when it comes to software releases; and proactively oversee application performance management, particularly when it comes to detecting anomalies and security breaches well before they occur.

Multi-factored Pricing Strategy

Wondering if your price is right for your intended audience? Need to determine the ideal pricing strategy to compete? AI can help you zero in on factors influencing pricing strategy and optimization. We help companies tap into location, demographic, historical, customer, and competitive data, and stand up dependable pricing strategies that they can rely on to shape current and future go-to-market decisions.

Additional Resources

SDLC AI Use Cases

Dive into 3 key ways AI is revolutionizing the SDLC space

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Case Study: Powering Sales

Helping a sales ops team shift from reactive to rev-enabling data delivery

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eBook: Total Experience

Embrace a whole-of-experience approach to experience, powered by AI

Download Now

Go Here, Not There

Where should AI be applied? And more importantly, where should it not?

Read More

Leverage AI to Fuel Impact

Hop on a call with our team to learn how and where to aim AI to achieve your biggest business initiatives.

Accelerate Now!