Lightship · AI Capability for Revenue Teams

From using AI to
having it do the work.

Lightship teaches sellers and revenue leaders how to move from prompting AI to deploying it in real workflows that drive revenue, with live agents running before the last session ends.

Workshops  ·  Advisory  ·  Coaching

83% of sales teams use AI.
10% are actually proficient.

Revenue teams have invested in AI tools. Reps use them for email drafts. That's where it stops. The problem isn't the tools — it's the missing layer between having AI and having AI do real work.

70% of a seller's week is non-selling work — research, CRM updates, meeting prep, follow-ups. Most of it can be automated. Most teams don't know how.
The Lightship Framework

A clear path from prompting to autonomous execution.

Every team is somewhere on this curve. Most are stuck at stage one. Lightship is the fastest route to stage three.

Stage 01

Use AI

AI responds to you. Add context, memory, and personalization so outputs are relevant, consistent, and actually useful.

Stage 02

Integrate AI

AI works with you. Embed it into the workflows you run every day. Decide what to augment, what to automate, and redesign how work gets done.

Stage 03

Delegate to AI

AI works for you. Build agentic systems that execute tasks without manual initiation — research, prep, follow-ups, all running on their own.

Proprietary Frameworks

Not prompts. Systems.

Two interlocking frameworks built for revenue teams — developed and battle-tested in a real sales org.

Framework 01

Revenue AI Vault

A structured context layer that makes every AI interaction informed and consistent. Your Vault captures your selling style, your market, your buyers, and your output preferences — so AI knows who you are before you type a single word.

1
Role context and selling environment
2
Buyer personas and decision patterns
3
Output preferences and communication style
4
Knowledge sources and competitive context
Framework 02

5 Node Chain

A workflow design methodology that turns any revenue task into a repeatable, automated system. Once built, the workflow runs with consistent quality — no re-prompting, no guesswork, no variance between reps.

1
What to grab — inputs and data sources
2
Where to get it — source and retrieval logic
3
What to ignore — exclusion filters
4
Desired output — format and structure
5
Agent goal — the task it executes
Proof Points

Built in a real sales org.
Proven in the market.

These aren't projections. They're results from deploying these frameworks with actual revenue teams.

1,400

Human hours saved in two quarters — at approximately $0.75 per automated task

10 min

Meeting prep, down from 10 hours — reported by course participants

4.8/5

Course rating on Maven — students cite frameworks as the most valuable takeaway

"Practical advice and awesome coworking sessions... have two agents up and running now."

AI in Sales participant · Maven review

"Goes from clear concept to hands-on building. You don't just understand it — you deploy it."

AI in Sales participant · Maven review

"Game-changing efficiencies in my workflow. I came in curious and left with a system that runs every day."

AI in Sales participant · Maven review

AI in Sales — Cohort Program

Stop prompting.
Start delegating.

Three weeks. Live sessions. You build AI workflows during the program — and deploy at least one running agent before the last session ends.

Individual enrollment · Stripe secure checkout

For Revenue Orgs

Building for a whole team?

Custom workshops, advisory engagements, and team-wide deployments for organizations that are serious about AI adoption — not just licensing. Jody has worked with enterprise teams at Adobe, DFIN, Superior Glove, and more.

Explore Team Engagements →

Past & current clients

Adobe DFIN Superior Glove Synopsis GTMshift