Course Overview
IntermediateOperationsProject Management
Digital Adoption for Operations Leaders
This course equips leaders and managers with the skills to analyze and assess their current digital toolstacks, map process friction, and design adoption strategies for technologies that drive measurable productivity gains. Approach roadmaps that aligns technology to business objectives, in‑app enablement, and become familiarized with cutting-edge AI empowerment strategies and tools.
Why this course matters
- Businesses with structured digital adoption programs have higher success rates in implementing new digital toolstacks, leading to higher productivity and customer satisfaction.
- See proven adoption frameworks and understand current challenges observed across other businesses.
- Building an accurate ROI report for digital adoption confirms the effectiveness of the current adoption plan and encourages further scaling and resource allocation.
Who should attend
- Operations leaders and systems managers
- Project managers and coordinators handling internal systems projects
- Business analysts in technology-related operations
What you’ll learn
- Digital toolstack inventory - Methods to catalogue apps, map use-cases, and surface redundancies.
- Process & value-stream mapping - Diagnose bottlenecks with current-state maps to target digital fixes that lift throughput.
- AI-in-operations readiness - Pinpoint pragmatic AI/agent use-cases and the data/hardware prerequisites they require.
- Automation opportunity spotting - Identify high-ROI candidates for RPA/low-code automation across operations.
- Data readiness & integration - Assess data quality and chart integration paths between core business systems.
- Translate business needs into a requirements shortlist and vendor scorecards.
- Requirements shortlist - Translate business needs into must-haves and score vendors.
- Rollout & adoption plans - Stage phased project plans and schedule rollouts that minimizes disruption.
- In-app enablement - The importance of walkthroughs, checklists, and self-help that guide users inside the tools they use.
- KPI & ROI model design - Define adoption, productivity, quality, and financial key performance indicators (KPIs) and build effective ROI reports.
Practical applications
- Consolidate duplicative apps, eliminate shadow tools, and standardize on high-ROI systems.
- Identify internal processes where AI/agent tools can measurably improve outcomes.
- Redesign workflows with guided steps to cut cycle time and manual rework.
- Create ROI reports that link user adoption to output, quality, and cost metrics.
Syllabus
Prerequisites
- Familiarity with your team’s core processes and systems
- Access to basic usage/operations metrics (e.g., adoption or activity data)
- Recommended: stakeholder access to key apps for inventory and mapping
Instructors
Output Workshop