LI-COR + Onset × Copilot Innovations
AI Workshop Hub

This space is private for the LI-COR + Onset leadership team.

For Leadership AI Workshop Hub

Everything from our work together, in one place.

A central home for the deliverables, decisions, and next steps from the LI-COR + Onset AI workshop — designed to be revisited as the team moves from ideas into action on the digital commerce pillar.

Prepared for Kristin, Tom & the LI-COR + Onset Leadership team  ·  By Copilot Innovations  ·  May 2026
Our Journey Together

How we got here — step by step.

From the first call with Kristin through the deliverables on this page, and into the next thirty days — the full arc of our work together at a glance.

Before the Workshop
In the Workshop
After the Workshop
01
Executive Call with Kristin
Aligned on the commerce pillar focus, AI maturity, and what success looks like.
02
Pre-Workshop Survey
Eight voices surfaced the pain points and the appetite before we walked in.
03
AI in Your Industry
Framed the landscape — agentic commerce, peers, what's real beyond GenSpark.
04
Innovation Sprint
Page Factory, Instrument Concierge & Ask the Business — prototypes that show what's possible.
05
Use-Case Generation
Hands-on ideation across five functional pillars — 50+ ideas, surfaced & voted.
06
AI Canvas Deep Dive
Pressure-tested the top-voted use case across thirteen dimensions.
07
Review & Next Steps
This hub itself — synthesizing what we learned and planning what's next.
Workshop Deliverables

Five artifacts to revisit and build from.

Each link below opens the full deliverable. Bookmark this hub — everything stays in one place as the team moves forward on the digital commerce pillar.

What the Room Voted For

The seven use cases the team rallied around.

Across five functional pillars, the workshop generated 50+ candidate AI use cases. These are the seven that earned the most votes — the strongest signal of where the LI-COR + Onset team wants to lean in first.

01
Proactive, personalized outreach based on purchase history — identify customers who bought "X" and surface upgrades or things to consider next.
Customer Acquisition
02
Map compatibility and solutions to match customers in their journey — the right configuration, surfaced at the right moment.
Customer Acquisition
03
An AI agent on the instruments themselves — built-in support, data review, education, and the ability to purchase consumables, professional services, etc.
Product Innovation
04
A personal AI advisor on the web that coaches and educates — meeting researchers and buyers where they are, with expertise on tap.
Customer Acquisition
05
Mine and surface research publications and funding opportunities that shape future product direction and sales strategy — the 73K-paper corpus as a strategic asset.
Brand & Mission
06
A customer-responsive purchase pathway — the website behaves like a salesperson, adapting to what each visitor needs next.
Customer Acquisition
07
Improved search across e-commerce and the website — semantic, technical, and application-aware for scientific buyers.
Customer Acquisition
The five functional pillars used in the workshop:
Operational Excellence Product & Service Innovation Brand, Market & Mission Customer Acquisition & Retention Employee Development & Engagement

The full set of 50+ use cases — including the ones that didn't make the top seven but still earned strong support — will live in the AI Opportunity Report once it's published.

The Next 30 Days

Four moves to turn momentum into action.

A workshop is only as valuable as what happens next. These are the four conversations we'd suggest leadership prioritize over the next month — anchored to Kristin's commerce-pillar framing and the use cases the room voted for.

01
Move 01 · This week
Green-light two pilots from the top-voted seven.

The room chose a dynamic, role-aware page builder to take through the AI Canvas — a tool that renders the right page and value prop for whoever's looking at it. Green-light the 6–8 week POC, then sequence proactive personalized outreach (the #1 voted idea) as the natural sibling pilot. Both compound into the broader commerce flywheel.

02
Move 02 · Within two weeks
Move from individual AI to enterprise AI.

Kristin named this as the core unlock — "AI is being adopted at an individual level but not necessarily at an enterprise level." Take one workflow currently living inside a personal GenSpark Hub and make it a shared, governed enterprise capability. That single move turns a sophisticated individual habit into organizational leverage.

03
Move 03 · Within three weeks
Have the org-readiness & data-governance conversation.

An honest discussion about staff capacity, data infrastructure, and the dollars required. Loading pipeline and order data into personal hubs is a governance issue the enterprise AI team will eventually need to address — better to surface it deliberately than discover it after a pilot.

04
Move 04 · Before any pilot launches
Define how success will be measured.

Pick three to five KPIs per pilot, set baselines, and agree on a 90-day check-in cadence. The AI Canvas inside the Opportunity Report will include a starter set of metrics for the top-voted use case — use that as the template for the others, and tie outcomes back to the commerce-pillar narrative Kristin is defending internally.

A Note from Copilot Innovations

Thank you for the trust, the openness, and the honest exchange.

To Kristin and the entire LI-COR + Onset team that joined us in the room — thank you. The conversations were generous, the ideas were unguarded, and the willingness to imagine new ways of working was the thing that made this workshop click.

You came in with a sophisticated starting point — agents already built, GenSpark hubs already in motion, a clear self-diagnosis that the next chapter is enterprise AI, not individual AI. The ideas captured in these deliverables aren't ours. They're yours — surfaced, organized, and reflected back. Our role was to help you see the whole picture at once. What you do with it is the part we're most excited to watch.

If anything in these deliverables sparks a question, or if you'd like to talk through a specific use case in more depth, we're a message away. Onward.

— The Copilot Innovations team Daniel Townsend & the Copilots team