Prepared For
Jeeter
A proposal for Jeeter / May 2026
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Jeeter × LCA: The AI-Native Blueprint.
The lowest-risk place to start. 30 days to produce the blueprint for an AI-native Jeeter, with one working agent already running on it.
×The lowest-risk place to start. 30 days to produce the blueprint for an AI-native Jeeter, with one working agent already running on it.
The intelligence Jeeter needs to defend #1 already exists inside the company. Right now it's scattered across Excel, Sparkplug, Power BI, Salesforce, BDSA, and a long tail of spreadsheets and postmortems. The analysis tends to be retroactive. A lot of the data movement is manual.
What's missing is the blueprint. A clear-eyed read of where Jeeter stands today, a sequenced plan for what to build and in what order, and a working agent already in production so the team can feel what's possible.
The Commercial Command Center is what an AI-native Jeeter feels like in practice. A unified view across sales, marketing, supply chain, and finance, cascading from the AOP down to per-product, per-account, per-rep. From retroactive postmortem to real-time forecast.
The blueprint is the lowest-risk place to start. Not a year-long transformation project. Thirty days, the right pair of hands, and a clear answer to what to build next.
A senior LCA pair sits with your team for thirty days: an AI Strategist and an AI Engineer / Architect, with design support. We run it with you, not for you. By day thirty, the blueprint is complete and one working agent is already running on it.
The four pieces fit together. The audit shows where Jeeter stands today. The roadmap sequences what to build, in what order. The agent is the first piece, already live. The vision is what it all becomes once it's built. Follow the blueprint and you become an AI-native organization.
The first clear-eyed read of where Jeeter is on the path to AI-native. Where data lives, where intelligence is getting lost between systems, what's possible with the stack you have, and where the highest-leverage starting points are.
Every commercial workflow and job to be done, surfaced and stack-ranked. Month one, month two, month three, sequenced. What needs agents. What needs a dashboard. What the IS team can ship without us. The data architecture that makes it all possible.
One working agent. A teammate your engagement team can talk to and query directly, scoped to your highest-impact use case where the data is ready, equipped with tools, and plugged into real data. Lives wherever makes sense. Slack, Teams, an MCP into Claude, or a custom interface.
An illustrated picture of an AI-native Jeeter, with the Commercial Command Center as the centerpiece, so the team can rally around a concrete shape of where this is all going.
We get inside the stack. Audit Salesforce, the data lake, BDSA, Sparkplug, Power BI, the Excel layer underneath all of it. Map data flows, manual workarounds, where intelligence is getting lost between systems. Sit with leadership and the IS team to understand goals at the AOP level and how they cascade down to per-product, per-account, per-rep.
We focus on the command center and collab with leadership and other key stakeholders to document the most important workflows and jobs to be done, mapped to key goals and outcomes.
We design the data architecture: how scattered systems become one connected layer, what's manual today and what gets automated, how agents plug in. We sequence the build into a month one, month two, month three roadmap, naming what needs agents, what's a dashboard, what the IS team can ship without us. By end of week three, the blueprint is taking shape.
We ship the first agent. Equipped with tools, plugged into real data, deployed in your team's existing chat surface or a purpose-built interface, and configured to your security and access posture. We illustrate what an AI-native Jeeter looks like once the blueprint is fully built out, so the next phase has a visual anchor.
A senior pair on the engagement for thirty days. Audit complete, roadmap locked, agent live, vision illustrated. The blueprint, in your hands.
Tentative start TBD. Start date subject to continued conversations between Jeeter and LCA.
What this sets up: the blueprint is the lowest-risk place to start with the stack, data, and team Jeeter has today. By day thirty, you have it. From there, the next phase is a scoped conversation about which parts of the blueprint to build with us, and which parts the IS team carries.
We wrote the AX book and the Field Guide on Building Products with AI. We build AI-native products every day. We know what's hype and what's real.
We've done this work alongside top leaders at companies dealing with everything from supply chains to complex data ops. We bring that experience directly to Jeeter.
We're not here to manage what already exists. We're here to start something new, prove it works, and hand it off in a state your team can carry.
We work with exec teams to capture the vision, the information, and the institutional knowledge that make this sing. We also understand how busy you all can be. So we run with the ball and deliver without bogging teams down in meetings and messages.
We're rooted in sound AI strategy, but this is just where we start. Our team of builders can then define, design, build, and operationalize all pieces of the stack, so you're not left needing to hire four partners for the job LCA can do.
We bring the same care to internal tools as we do to customer-facing products. Adoption is the metric we hold ourselves to.
Any questions, ping me directly. WhatsApp or iMessage, whatever's fastest.