I design and build the systems that quietly run a business: Salesforce architecture, process automation, and AI that does real work. If your team re-keys data between tools, chases approvals by email, or runs the month on spreadsheets, that is exactly the work I remove.
One senior engineer. No account managers, no handoffs: the person you talk to is the person who builds it.
Most consultancies sell these as four departments. In a business my size they are one discipline: understand the process, then build the system that runs it.
The order that re-keys itself into three systems. The approval that waits in an inbox for four days. I map the process, then make the software do it: integrations, scheduled jobs, document generation, and the unglamorous glue that gives your team their hours back.
A CRM fails quietly: duplicate records, fields nobody trusts, reports nobody reads. I design the object model, the data flows, and the governance so the system stays truthful as the business grows, whether you are untangling an old org or starting clean.
Case file: syncing Salesforce with a clinical EMR, no middleware
Apex, Lightning Web Components, Flow, and the judgment to know which one the job needs. I build inside your org with test coverage, sandboxed releases, and documentation, so the next person who opens it (including future you) is not afraid of it.
Case file: getting past the 5,000 email per day platform limit
Not a chatbot bolted on for the demo. AI wired into the systems you already run: extracting data from documents, drafting responses your team approves, summarizing calls into CRM records, and agents that complete whole workflows with guardrails and logs.
Four steps, in this order, every time. The sequence is the safeguard: nothing gets built before the process is understood and the plan is priced.
A working session on your actual process, not a slide deck. We trace where hours and data leak: the re-keying, the waiting, the workarounds your team stopped mentioning.
A short written plan: what gets automated, in what order, what it costs, and what it saves. Fixed scope per statement of work, so you always know what you are buying.
I build in sandboxes, test against your real edge cases, and release in increments your team can absorb. You see working software weekly, not a reveal at the end.
Documentation, handover, and monitoring that tells us when something drifts. You own everything I build; staying on retainer is an option, never a hostage situation.
Nexus Cloud Consulting is one person on purpose. You get a senior engineer who has lived inside Salesforce orgs, integration layers, and automation platforms for years, without paying for the pyramid of people in between. I take a small number of engagements at a time, and I am in the work every day it runs.
That model has a side effect clients tend to like: I only take work I can do well, and I will say so when something does not need to be built at all. The cheapest automation is the process step you delete.
Short, practical writing from real engagements: what to automate, what to skip, and how to keep your systems honest.
Straight answers, the same ones you would get on a call. If yours is not here, ask it directly.
Every engagement is priced in a fixed-scope statement of work before any build starts, whether hourly, fixed-fee, or milestone-based, so you know exactly what you are buying. An independent senior engineer typically runs well below the blended rates of a consulting firm because you are not funding account managers, project coordinators, and bench time.
No. The firm is based in Tennessee and works with clients across the United States. Nearly all engagements run remotely, with the same working sessions, weekly demos, and direct access regardless of where your team sits.
Yes, org rescues are a regular part of the practice. Those engagements start with an assessment: a prioritized, costed list of what is broken, what is risky, and what is fine, so you can decide what to fix with real information instead of a sales pitch.
It is useful when it is wired into systems you already run: summarizing customer history into your CRM, extracting data from documents, scoring sales calls. It is hype when it is a chatbot bolted on for the demo. The honest answer for most businesses is to automate the basics first, then add AI where the data is trustworthy.
With a process audit: a working session on your actual operations to find where hours and data leak. You get a short written plan with priorities and costs. If the plan says some things should not be built at all, it says so.
Describe the process in a sentence or two: the report someone assembles by hand, the data that lives in three places, the step everyone dreads. I will reply personally, usually within one business day, with an honest read on whether it is worth automating.