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Today I published my first fixed-scope service: Workflow Clarity & Governance Scan.
I review one complex operational workflow and identify duplicated work, bottlenecks, automation opportunities, verification gaps, and the decisions that must remain under human control.
The client receives a current-state workflow map, clear approval boundaries, and three prioritized next actions-without committing to a full implementation first.
Built for nonprofits, healthcare teams, community programs, operations leaders, and organizations introducing AI into existing workflows.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Automating a broken process only makes the mistakes happen faster. Before choosing tools, I map five things: the trigger, required inputs, decision points, human-review checkpoints, and rollback path.I turned that method into a one-week AI Workflow Audit & Automation Blueprint for teams that want an implementation-ready plan before they buy software or rebuild operations.What repetitive workflow is costing your team the most time?https://contra.com/s/oObLWbom-ai-workflow-audit-and-automation-blueprint
Process Design & Workflow Optimisation
Business OperationsBusiness Workflow AutomationOperations ManagementMicrosoft Office 365Microsoft Visio
Currently building autonomous AI systems that actually survive production — not just the demo.
Most AI projects work beautifully in a controlled test and then quietly fall apart on real data, edge cases, and concurrency. I focus on the unglamorous engineering that closes that gap: data validation pipelines, boundary checks, error handling, and knowing exactly where deterministic logic should own the decision instead of the model.
Recent work includes agentic workflows built with Python and FastAPI, an LLM reasoning layer for the genuinely ambiguous decisions, and automation orchestrated through Make with MCP. My background is technical support and operations, which means I design for the failure case first — I've spent years watching systems break in ways their builders never anticipated.
If you have an AI pilot that impressed everyone in the demo and then stalled on the way to something dependable, that gap is exactly what I build for.
Open to Applied AI / AI automation projects.
