RQ — The measure of organizational readiness for automation and AI
We’ve just released a major new report, “RQ: Assess Your Readiness For Working Side By Side With Robots And AI.”
Automation technologies — from AI to robotic process automation (RPA), physical robotics, and more — are transforming business processes and operating models. But most companies don’t have the competencies to implement automation technologies successfully. And so we created RQ — the robotics quotient — to help digital and technology leaders make better investments in the prerequisites to success with automation, AI, and robotics.
RQ measures the ability of individuals and organizations to learn from, adapt to, collaborate with, trust, and generate business results from automated entities, including software like RPA, AI, physical robotics and related systems.
Across more than nine months of research, what we’ve learned from enterprise organizations is this: People, leaders, and organizations must all bring something to the table when preparing to deploy AI or automation. And the competencies of those people, leaders, and organizations must be refracted through the lens of trust, which varies by technology. We call this the PLOT framework.
The PLOT framework is key to self-assessing areas for improvement. In our self-scoring tool (which is an Excel spreadsheet embedded inside the report), clients can assess RQ across 39 different dimensions, scoring a current state and a desired (yet plausible within 6–12 months) state. Using this tool, you can identify the areas that need most improvement and the organizational competencies you need to acquire in order to succeed with RPA, AI, DPA, physical robotics, and the like.
We would encourage Forrester clients to read the full report here and to replay my one-hour webinar on RQ. It’s the next major assessment that digital and technology leaders need to perform to succeed in digital transformation, and we look forward to working with clients to succeed and thrive with automation and AI.
(This post originally appeared on the Forrester blog, which can be viewed here).