In this episode, host David Turetsky speaks with Denise Triba, CHRO at Ingenovis Health, about how her HR team is using workflow mapping, ticketing data, and AI to improve service for clinicians and internal teams. The conversation centers on a practical, human-in-the-loop approach to AI, with Freddie, their internal AI tool, trained to handle repetitive HR questions faster and more accurately. We discuss how a workforce solutions company thinks beyond recruiting, why understanding the work before applying technology matters, and how better HR operations can improve clinician experience, response speed, and career development.
Key topics
David introduces Denise Triba, CHRO at Ingenovis Health, and frames the episode around operational data and AI in HR.
Denise explains that Ingenovis Health is a workforce solutions company supporting healthcare providers and life sciences organizations with the right workforce mix.
The discussion distinguishes Ingenovis from a traditional recruiting function, emphasizing a consultative model that optimizes client workforce needs.
Denise shares how the pandemic increased healthcare organizations’ need for more precise staffing and stronger workforce partners.
The HR team started with workflow mapping to understand exactly how work was being done before adding technology.
A ticketing system was introduced to validate assumptions and quantify the most common HR requests.
The team identified high-volume issues such as benefits enrollment and leave requests, then began training Freddie to handle those questions.
Denise describes Freddie as an internal AI tool still in beta, used between HR and IT before external release.
The conversation covers human review, validation, and hallucination prevention, with subject matter experts writing and checking training articles.
Denise explains that AI is helping reduce repetitive work, improve first-response accuracy, and free HR coordinators for more valuable work and career growth.
The episode closes with advice for HR teams: start with the process and the people doing the work, then apply technology to enhance it.
Timestamps
00:00 - Opening and introduction to the episode
00:32 - David introduces Denise Triba and Ingenovis Health
01:01 - What Ingenovis Health does as a workforce solutions company
01:47 - The kinds of healthcare roles Ingenovis supports
02:38 - Denise’s background and early interest in medicine
03:48 - Why the episode focuses on operational data and AI in HR
04:24 - Employee and clinician experience as a top priority
05:21 - Why Ingenovis is more than a recruiting team
06:33 - The mix of W-2 employees and 1099 contractors
07:34 - Why facilities choose workforce solutions over direct hiring
08:33 - How healthcare organizations changed after the pandemic
09:04 - Starting with workflow mapping before introducing AI
10:03 - Using ticketing data to validate top HR call categories
10:29 - Tracking 3,000 calls and training Freddie with real data
11:33 - How workflow data shows friction and points to automation
12:10 - Faster, more accurate information for clinicians and HR coordinators
12:55 - Benefits enrollment as the most common question
13:22 - Other repeat requests like leave support
14:34 - Writing articles to train Freddie on core answers
15:04 - Subject matter experts validating Freddie’s responses
15:48 - Avoiding misinformation and limiting scope during early rollout
16:34 - How Freddie is used internally in beta
17:22 - Better capture rates and fewer repeat follow-up emails
18:44 - Extending clinician satisfaction through better service
20:15 - When Freddie needs human support and escalation
20:40 - Employment verification as an example of a hybrid workflow
21:43 - Using AI across client-facing and sales-side operations
22:59 - What surprised the team most about implementing AI
23:56 - How the project is expanding into other HR workflows
24:27 - Addressing fears that AI would take jobs away
26:05 - Cost considerations and working within budget
27:21 - The value of strong HR and IT partnership
28:37 - Advice for HR teams considering AI adoption
29:28 - Closing reflections on the scientific, process-first approach
29:54 - Looking ahead to future updates on Freddie and beyond
Notable quotes
- “You really need to understand the what before you start to apply the how.”
- “If you have to teach someone, you learn it.”
- “This isn’t about a workforce change internally. This is about how do we get better."
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