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Replacing Last-Minute Pitch Scrambles with a Structured AI-Supported Case Study Workflow

How a global luxury advertising agency created a repeatable system for capturing project knowledge, generating business reports, and improving workflow visibility.

Challenge

A global luxury advertising agency had accumulated decades of successful client work, but consistently turning that experience into polished business reports and case studies had become increasingly difficult. Report creation relied heavily on busy senior contributors, fragmented file systems, and manual coordination under tight business development timelines. Important project details were often scattered across internal documents, shared drives, and individual team members, making the process slow, inconsistent, and difficult to scale.

Insight

The core issue was not a lack of strong project work, but the absence of a structured operational system for capturing, organizing, and reusing institutional knowledge. The team recognized that AI could support faster draft generation by combining approved historical reports, structured stakeholder interviews, and brand-specific reference materials. Rather than replacing human oversight, the goal was to reduce manual writing effort while improving consistency, visibility, and repeatability.

Solution

An AI-supported business report workflow was introduced using Gemini alongside a centralized Jira-based operational management system. Stakeholder interviews were conducted and transcribed to capture project context, outcomes, and delivery details, allowing AI-generated drafts to be created from structured source material rather than manual writing from scratch.

Jira was used to manage intake, review routing, approvals, tagging, and workflow visibility across the lifecycle of each report. Standardized categorization improved searchability and helped teams quickly identify relevant work by capability, project type, or client category. A second-phase front-end interface was also introduced to simplify report requests, search existing assets, and improve visibility into report status and workflow progress.

Results

The new workflow created a more scalable and repeatable system for developing business reports and case studies across the organization. By reducing dependency on manual document searches, fragmented file systems, and ad hoc coordination, teams were able to move faster while improving consistency and visibility throughout the report creation process. The operational structure also made it easier to capture institutional knowledge, organize reusable assets, and support ongoing business development efforts with less manual effort and greater workflow transparency.