Step 2: Best Practices for Tech, Legal & Financial Review

By Peter Sullivan

This blog is the second in a series that explores ITX’s approach to integrating AI tools into our product development workflows; here, we look at our internal Tools Committee and its policy-driven process for proposing, reviewing, and selecting the right tool for the job.

Introduction

ITX is a globally distributed organization with team members and clients across the United States and around the world. Increasingly complex client demands often require ITX Delivery Teams to match each new challenge with an even more sophisticated set of tools. At the same time, though, we need to protect against adding new tools unnecessarily. This may be especially true when it comes to artificial intelligence.

Step 1: Assess competing stakeholder needs to identify the right tool for the job

By Peter Sullivan

This blog is the first in a series that explores ITX’s approach to AI tools integration – our proven method for vetting, selecting, and deploying artificial intelligence into our workflows.

Software product development companies face unrelenting pressure to stay ahead of tech’s accelerating pace. This is not a new phenomenon, of course. But when paired with an already volatile market environment and its ever-lower barriers to entry, just keeping pace becomes more than many companies can manage. Add artificial intelligence into the mix, and the strain can push them to the breaking point.

In the “earlier” days of AI (let’s face it: AI is still just a baby), every new tool felt like ‘a hammer in search of a nail.’ It felt like there was no job AI couldn’t do. These days, though, the calculus is changing. Tech companies that have been around for a while have figured out that specific stakeholders need specific tools with specific applications. And it takes a skilled craftsperson to choose the right tool for the right situation.

A Risk Management Approach to Responsible AI Adoption

Artificial Intelligence is here to stay. But that doesn’t mean we should throw up our hands and let AI run roughshod over otherwise sound product development operations, right? The stakes are too high, and much of the technology’s potential (for good and for ill) remains unknown. 

 Since our founding nearly 3 decades ago, ITX has been committed to helping clients manage risk. In that time, we’ve learned that diving headlong into any new technology – let alone one as potentially disruptive as AI – without careful exploration invites all sorts of risks: financial, reputational, ethical, and legal. 

 We documented our approach to AI integration in a position paper, ITX’s Perspective on AI and Our Approach to Adoption. It reflects a clear statement of our current thinking – as AI evolves, so too will our assessment – complete with practical governance framework and set of rules that guide our behavior. This blog describes that framework and explains what AI governance means inside ITX.