Most AI demos look impressive, then fall apart in real workflows.
This one didn't.
Jim is an AI assistant for med device and pharma commercial teams. Think workflow copilot for reps, ASMs, and commercial ops teams that need to move faster from planning to execution.
Jim can run inside Slack, so teams can ask, plan, and execute in the same channel where work already happens.
A recent thread with a sales leader in a procedural medical product category shows what that looks like in practice.
The starting point
The leader came in with a familiar challenge and one direct question: can this scale nationally?
- Active in a few core states
- Meaningful existing revenue, with a goal to double
- Limited field bandwidth
- Pressure from larger competitors
- Need for better access to target specialists and accounts
What Jim did
In one conversation, Jim turned a broad ask into a practical execution plan.
1) Structured the problem
First, Jim broke the request into usable workstreams:
- National market prioritization
- Regional execution planning
- Target specialist criteria
- Channel and distributor qualification
- Weekly KPI tracking
2) Turned input into an operating plan
After a few follow-up details, Jim produced a plan with:
- Market tiers (focus now vs later)
- Coverage model for direct team plus channel partners
- Targeting framework by specialty, volume, and care setting
- 90-day execution cadence
- Weekly performance framework for conversion and growth
3) Helped with follow-through
Next, the leader asked for a stakeholder email draft.
Jim generated a ready-to-send version, then revised it based on follow-up instructions.
So this was not just strategy support. It included communication and execution support in the same thread.
Why this is different from generic ChatGPT
Generic ChatGPT is great for writing and brainstorming. Jim is built to support commercial workflows end to end:
- Planning tied to field constraints
- Repeatable templates for targeting and execution
- Fast conversion of conversation into action steps
- Ongoing support for drafts, summaries, and updates
In practice
It's less "give me ideas" and more "help me run the motion."
Example interaction with Jim
A real example of a task Jim can execute in one request:
Make a PNG chart of Zepbound providers by state using CMS Open Payments 2024.
- Group by: State
- Value: Total amount spent
- Sort: Highest to lowest
- Limit: Output top 10; sum others
- Chart: Bar chart
- Title: 2024 Zepbound Providers by State
- Return: PNG + CSV (State,Dollars (in thousands)) + one-line takeaway
Where OPD fits
The OPD Open Payments dataset is one of Jim's tools. It adds useful provider and company context from public data, but it's only the first step.
The bigger value comes from combining focused tools, including:
- Public data context (like OPD)
- Online trend and market signal research
- Pre-call and account prep
- Drafting and follow-up support
- Weekly summary and next-step tracking
Bottom line
Jim doesn't replace commercial judgment.
It helps teams move from rough inputs to clear plans, then from plans to consistent execution.