AI does not create leverage when it is bolted onto a human workflow. RSUA maps the work as it really happens, designs the AI-operable version, and builds agents that execute with clear human gates, oversight, and approvals.
Map the work. Design the operating model. Then put AI to work.
The Reality
of custom enterprise GenAI tools never reach production with sustained P&L impact.
MIT NANDA, State of AI in Business, 2025
“AI creates value when the workflow changes, not when a model is dropped into the old one.”
McKinsey, The State of AI 2025
01
Most business workflows rely on judgment, memory, context, and informal exception handling. AI can help, but not if it is forced into a workflow that was never designed for machine execution.
MIT NANDA, 2025
02
AI operations need clear inputs, decision points, ownership, confidence thresholds, and escalation paths. Without those, teams burn tokens and add uncertainty instead of capacity.
MIT NANDA, 2025
03
A chatbot, agent, or platform cannot rescue unclear work design. The operating model has to come first, so AI knows what to do, when to stop, and when a human should decide.
Gartner, 2025
The answer is not to bolt AI onto the current workflow. It is to map the work, design the AI-operable version, and then automate the parts that can be executed safely and measured clearly.
Corroboration: S&P Global reports the share of companies abandoning most AI initiatives jumped from 17% to 42% in a single year. Gartner projects 40%+ of agentic AI projects will be canceled by 2027 for cost, unclear value, or weak risk controls.
We map the work as it actually happens, redesign it for human-plus-AI execution, and build agents around clear roles, evidence, thresholds, and escalation paths.
Before AI can operate, the work has to be made operable.
Human-in-the-Loop
Our agents don't get handed the keys on day one. Each workflow ships with a confidence threshold. Above it, the agent executes. Below it, the work routes back to a human reviewer before it moves.
Approvals are logged. Edge cases are learned. Thresholds tighten over time. The result is automation that gets smarter without ever being unsupervised.
Phase 01
Capture the real workflow: inputs, decisions, exceptions, systems, owners, and handoffs.
Phase 02
Create the AI-operable workflow with human gates, confidence thresholds, and clear escalation rules.
Phase 03
Deploy agents against the highest-value work where execution can be measured and risk can be controlled.
Phase 04
Monitor outcomes, tune thresholds, and expand autonomy only where reliability has been proven.
Powered by Agentic AI and human oversight.
Invoices, expenses, compliance, processed in minutes, not days.
Target: Accelerate AR/AP and close cycles
Workflows, quality control, vendor management, automated with oversight.
Target: Eliminate repetitive manual data entry
Pipeline intelligence, deal insights, proposals, generated instantly.
Target: Scale proposal and outreach velocity
Onboarding, policy Q&A, manager support, consistent and compliant.
Target: Standardize routine employee requests
Health scoring, handoffs, churn signals, caught before they escalate.
Target: Proactive health scoring and handoffs
RSUA installs a human-gated AI delivery system for teams with more roadmap than engineering bandwidth. The goal is not AI activity; it is more accepted output without defaulting to more headcount or weakening architecture, product, QA, deployment, and rollback gates.
The Principle
AI operations do not start with a tool. They start with work designed so humans and AI can execute together.
David Crowder, Founder, Right Side Up Advisors
Meet the Founder
Map the work. Design the AI operation. Then automate what is ready.
David has operated from the inside of the roles RSUA serves: founder, CEO, COO, CIO, systems owner, and accountable executive. That matters because AI work usually fails upstream of the model. The hard part is understanding how the work really moves, who owns each decision, what data can be trusted, and where AI can safely create leverage.
Right Side Up Advisors brings that operating lens to every AI implementation. We look for the fastest credible path to ROI: lower manual effort, higher throughput, cleaner handoffs, faster cycle times, better customer visibility, and fewer management interruptions. Then we build the AI around the process, with human gates where judgment still belongs.
20+
Years Founder & C-suite Experience
Johns Hopkins Agentic AI Certificate
“David brought a level of operational rigor to ImagineAir that changed the trajectory of our business... He's a rare operator who can move fast without sacrificing quality.”
Founder/CEO, ImagineAir LLC
“He quickly identified areas of inefficiency, implemented scalable systems, and brought structure... We reduced onboarding time by over 40% and cut operational costs by 25%.”
Founder/CEO, GET Valet
“His ability to assess pain points, streamline workflows, and implement practical solutions brought clarity and momentum... David brought a calm and steady leadership presence.”
Founder/CEO, Alagrants LLC
Let's Talk
Tell us where work is slowing down. We'll help determine whether AI can operate there safely, clearly, and without creating new drag.