As part of the MRM-DAM team, EMMsphere helped Arthrex make hidden bottlenecks measurable, stand up program governance, and launch the first new workflow in years, which ran 2.7x faster than standard projects. The next gains are in process, not tools.
The Expedited Workflow Pilot, the first new workflow in several years, went live April 1. After one month, reviewers knew when and how to engage, PMOs spent less time on admin fields, and urgent work was clearly flagged instead of managed by guesswork.
Faster average project delivery year over year, while demand climbed from ~800–900 to ~1,100–1,200 requests a month.
Average rework rate, down two points. At Arthrex's volume, that's well over a hundred projects that didn't loop back.
Added time per Requester Review reviewer, down from earlier readouts as review cadence and expectations tightened.
AI doesn't fix a program that can't see itself. Here's the groundwork we helped put in place, and the work still open.
Overall SLA looked fine. Underneath, document-heavy work ran late while video and media finished weeks early, and nobody could see where the time was actually going.
We worked with Arthrex's Data Analytics team to add dashboards for demand vs. completion, intake lag between JIRA and Aprimo, reviewer load, review lifecycle bottlenecks, and portfolio health. Leadership now sees differences by asset type and department, not one blurred number.
We helped instantiate MRM-DAM Program Governance as a three-tier operating model with a Governance Council and Steering Committee and consolidated scattered backlogs into one stakeholder-ranked backlog.
Streamlined intake, defined paths, standardized steps, and clear prioritization for urgent work, with review times down sharply in the first month.
First-time-right intake beyond the pilot, a Master Claims Library, ranked Web + Mobile review options, and about 25 documented AI use cases. The groundwork is there. The process changes that unlock it are next.
The existing dashboards as well as the insights we helped stand up surfaced these gains. They aren't execution failures. They're waiting time, intake quality, and planning, and every one has a process fix.
The work itself is quick. The wait is not. Reviewer availability, unclear ownership, and escalation gaps turn short reviews into long queues.
The lever: fold Requester Review into intake, and change how and when reviewers get assigned, with more automation and less overengineering.
High rework tracks with text-heavy and regulated assets such as bulletins, brochures, and surgical techniques. The issue is upstream readiness, not production speed.
The lever: "first-time-right" intake with clear prerequisites and claims managed as first-class assets.
Incoming requests grew faster than the team's output, and there's no structured planning process across departments and Product Managers to smooth it out.
The lever: a centralized planning process, so demand is visible before it lands as requests.
Documents, upload requests, and branding materials dominate volume and run consistently late. Brochures alone average nearly 23 days behind schedule.
The lever: standardized templates and workflows for brochures, bulletins, presentations, and taxonomy pages.
We worked inside Arthrex's MRM-DAM program through April 2026. Your workflows, data, departments, and open backlog aren't new to us, so there's no ramp-up.
We ran the Expedited Workflow Pilot and the data maturity work. The results on this page are Arthrex's own, not a case study from another company.
An AI roadmap won't fix broken processes. We start with planning, intake, and review, then add automation where it actually pays off.
We work across both ecosystems, so our recommendations follow Arthrex's processes, not a vendor's roadmap. Sometimes that means getting more from Aprimo. Sometimes it means bringing in Adobe tools Arthrex already owns, like Workfront.