Your CRM data
Salesforce and/or HubSpot
All of them read the same schema. Legibility is the gating factor.
Our approach
A Salesforce and HubSpot foundation, refined across dozens of B2B engagements. Simple, scalable, fast to implement. Architected so humans and AI agents can both run it. Alone, or together.
Where this is going
Within the next year or two, a typical RevOps team will be running several of these against the same Salesforce and/or HubSpot data. Native vendor copilots, third-party assistants, MCP-connected tools, custom in-house bots, all reading the same schema. Whichever vendors you pick, the foundation underneath is the gating factor. That's what the Leadspot blueprint is built to be.
Your CRM data
Salesforce and/or HubSpot
All of them read the same schema. Legibility is the gating factor.
The teams we work with, RevOps leaders at CountX, Capchase, and other forward-thinking GTM orgs, already run on the Leadspot blueprint.
The problem
Ask Claude or an MCP-connected assistant “what's our revenue from North American customers over the last six months?” on a typical Salesforce org. You won't get a usable answer. There are ten fields that could mean revenue, accumulated over six years. The agent guesses. The number is wrong, or right by accident. Either way, you can't trust it.
Tell it “ARR went up to $600k.” If five fields hold ARR, which one does it write to? What if one is fed from Stripe and you've just overridden it? Native tools like Agentforce can be configured around all this, but only after heavy investment. That investment doesn't transfer the day you want to plug in a different assistant. A clean, self-describing schema is the only foundation that works for all of them: native, MCP, custom-built, whatever you'll want to add next.
Typical Salesforce org
1 of 10 revenue fieldsARR_v2__c (no help text)
Used by
Old_arr_syncWorkflow_47ARR_alert_v1???Sound familiar?
Layer upon layer of accumulated dirt. Whether you call it Salesforce, HubSpot, or any other CRM, the cost is the same: you can't trust the data, and you can't plug agents into it.
Six design choices
Every field, object, and automation is named so a human and an LLM can reason about it from the name alone. Timestamp_Mql__c tells you what it captures and when. Lead_Populate_Account_by_Domain_After tells you the object, the action, the mechanism, and the flow timing, all in the name. An agent reading the schema does not need a translation layer. It can query, write, and explain the data model directly.
Salesforce help text is surfaced to users in the UI and exposed through the Metadata API. Every custom field in the Leadspot blueprint carries help text explaining what the field means, how it's populated, when it shouldn't be edited, and which downstream flow depends on it. The same text becomes the grounding an AI agent sees when it's asked “should I write to this field?” or “why is this one empty?” The system is self-describing by default.
Every customer's blueprint ships with two structured documents: a technical specification of every object, field, and flow, and a process document explaining how it all behaves in practice. Every entity has a stable anchor ID, so the two cross-link cleanly. Feed both into Claude, ChatGPT, or an internal assistant and it can answer “why did this flow fire?” or “what writes to Primary Campaign Source?” with correct, specific references. Documentation is part of the product, not decoration.
One naming pattern runs across every object. Timestamp_<Stage>__c on Lead is Timestamp_<Stage>__c on Contact. UTM fields repeat the same shape wherever they appear. Agents and headless integrations learn the pattern once and apply it everywhere. No per-object special cases. No surprise exceptions.
Leads and Contacts connect to Accounts through a deterministic domain-matching system, backed by an ISP blacklist and a priority-scoring tie-breaker. An agent asking “which company does this person belong to?” gets a single, traceable answer every time. When a match is wrong, the cause is inspectable: the domain extracted, the blacklist hit, the priority score. Agents can trust the Contact-at-Account relationship without re-verification.
Every flow, validation rule, and integration is built to a standard pattern and named for what it does. Opportunity_attribution and Campaign_member_stamp_UTMs_Lead_triggered tell you the object and purpose without opening the flow. We default to native Salesforce config and only write custom code when the business problem actually requires it. Every line of Apex is a liability someone will inherit, and a black box an agent can't reason about. When something fires (or doesn't), the cause is traceable from the flow name to the documentation to the field that triggered it. No tribal knowledge.