AI Workflow Advantage Framework
Research
Why do we need the AI Workflow
Advantage Framework?
We surveyed 1,000 knowledge workers in multiple industries and analyzed millions of workflow data points across 20,000 organizations. The result? Work is breaking down in the age of AI.
of employees lost critical knowledge last year due to siloed tools
of projects start without complete documentation
of employees have concerns about AI accuracy, privacy, and context
of organizational time is wasted on rework
Executive summary
Explore challenges and opportunities
Discover how scattered tools, missing documentation, and incomplete context are straining workflows. Learn how to win in the AI race by designing workflows where humans and AI amplify each other.
Maturity model
Measure your AI adoption
Benchmark your current state of AI workflow adoption by choosing from five levels in our maturity model. Use this as your jumping-off point for accurate reflection, analysis, and planning.
In-depth analysis
Conduct a stage-by-stage audit
Work through three stages, each packed with critical questions and success metrics that’ll help you interrogate your current workflows and pinpoint opportunities for action.
Case studies
See how it works in real life
Get real-life examples of how global enterprises used Wrike to cut launch times from three weeks to five days, save 35% of time searching for info, and scale more than 100 AI use cases.
Next steps
Generate a roadmap for success
Conclude with a practical plan for completing the workbook, sharing your results with leadership, and partnering with Wrike for a tailored roadmap to roll out clarity across your organization.
Level 1
Ad hoc → scattered, undocumented
Level 2
Documented → partial knowledge capture, context gaps remain
Level 3
Connected → partial integration, silos remain
Level 4
Orchestrated → human and AI collaboration and automation
Level 5
Intelligent at scale → enterprise-wide organizational intelligence
