The Service Β· NothingElseMatterz.com
5-Day {Salesforce}
Systems Teardown.
A blunt researcher with read access to your entire Salesforce architecture. The goal: burn through your stated assumptions. Build a real-world visible map of what your system is actually doing β not what you believe it is doing.
Five working days. Every funnel mapped. Every broken node surfaced and costed. Every unknown assumption documented and named. By Day 5 β a thesis, a visible systems map, and a number the business recognises.
Who needs this
Who needs a Salesforce
Systems Teardown.
$10M+ practices. Multi-client orgs. Senior bandwidth at its limit. The entry point is often their hiring or ops team β translating leadership confusion into job descriptions for roles that donβt quite exist yet.
Revenue
$10M+ last 12 months
Roles
Founders Β· Practice Heads Β· Delivery Leaders Β· Senior Architects
Context
Multi-client Salesforce implementations at scale
How they decide
Via artifacts and demonstrated thinking β not resumes
The engagement
Five days.
Four things delivered.
Not a workshop. Not a discovery call. A researcher with read access to everything β documenting what is real, costing what is broken, designing an experiment to move the number.
01
The Systems Map
A real-world visible diagram of how the architecture actually functions. Every funnel. Every broken node. Every load-bearing workaround. Not a diagram β a mirror.
02
The Broken Assumptions
Beliefs the organisation has built on that the system does not support. Made visible. Named plainly. Usually the most uncomfortable deliverable β and the most valuable.
03
The Thesis + The Cost
One falsifiable statement about the root cause β with the estimated annual cost of leaving it unresolved. Leadership agreed to this number on Day 4.
04
The 3-Week Experiment
Clear hypothesis. Measurable value recovery target. Explicit success and failure criteria. A clear position on where Agentforce fits β or why it needs to wait.
Proof of Work.
Building as a Business Entity, in Iterative Structures.
Hypothesis being tested: Agentic discipline β the hard, slow work of designing before building β is the actual bottleneck in Salesforce AI integration. Not the technology. Every session tests this assumption in one more direction.
How do you design, architect, and build a RAG Salesforce agent without skipping the hard part?
How do you design, architect, and build a RAG Salesforce agent without skipping the hard part?
The session started with a structural question: what does the design phase of an agent actually require before architecture decisions are made? The working answer is that most agent builds skip directly to configuration because the requirement phase feels abstract β until the agent fails. Agentic discipline is difficult for humans. That is not a criticism of the tool. It is a finding about the process.
When the pipeline gets smarter, does the thinking get lazier? Testing the 4th agent.
When the pipeline gets smarter, does the thinking get lazier? Testing the 4th agent.
The pipeline is now multi-agent. The 4th agent is taking shape. The question this session forced: does a more capable system create more structured thinking β or does it give the builder permission to think less carefully? The answer, at this stage, is that the pipeline compounds quality only when the input discipline is already there. Garbage in. Structured garbage out.
Can an AI system surface the structure in your own thinking β before you know what the structure is?
Can an AI system surface the structure in your own thinking β before you know what the structure is?
The Hermes agent was presented live to Salesforce SI leaders. The session was less about the agent and more about what it reveals: when you force your thinking through a structured output system, you discover what you actually believe versus what you assumed you believed. The Notion log from this session is the artifact. The session is the process that created it.
LETβS Have a
Conversation???
One call. No pitch. If your system is getting harder to reason about, the first step is mapping it.