Melissa Geiger — Operations & Project Management

What I Do

Most operational problems aren’t what they appear to be.

The presenting issue is usually a symptom — data discrepancies between systems, a database or AI agent that too many hands have touched, reporting that takes hours to produce and gets looked at once. The actual problem is somewhere upstream.

I’ve spent two decades working inside these problems — managing projects and complex implementations, designing, rebuilding, and maintaining systems, turning data into reports people can actually use, and cleaning up what accumulated when nobody was looking.

Project Management

Managing timelines, budgets, deliverables, and project documentation across cross-functional teams. Coordinating the people, information, and details that keep projects moving forward.

Data Infrastructure

Salesforce administration, database management, reporting, reconciliation, and data quality. Clean data, trustworthy reporting, and systems that don’t depend on any one person to keep functioning.

Workflow & Process Improvement

Documentation, onboarding, recurring workflows, and process redesign. Reducing the accumulated drag that makes work harder than it needs to be — and building processes that don’t require constant attention to keep running.

AI & Automation

Practical AI integration and workflow automation — applied where it genuinely reduces burden, not where it creates more complexity. Tools include Agentforce, Claude Cowork, and Zapier.

How I Work

Most of the people I work with don’t need another list of recommendations.

They need someone who can step into a busy, overloaded environment and build the systems, processes, and structure needed to support the work.

The goal is to reduce the burden on the people carrying too much of it and leave behind systems that make the ongoing work easier to manage and more sustainable over time.

Create capacity Good operational work makes room for higher-value work.

Execution matters Ideas are easy. Implementation is where most of the work happens.

No black box If I build it, you should be able to understand it.

On AI & Operations

AI can generate reports, summaries, dashboards, and recommendations faster than most organizations can read them.

For years, the constraint was information. Organizations that had more of it made better decisions.

That logic still feels true. It just stopped being accurate.

The constraint now isn’t information — it’s attention. And attention doesn’t scale the way data does.

Which means the problem AI is creating isn’t a shortage of answers. It’s an oversupply of them. More outputs competing for the same finite capacity to make use of them.

More information doesn’t automatically create better decisions. Sometimes it just creates more work.

Some of the most valuable operational improvements come from subtraction: reducing reporting overhead, cleaning up data, consolidating information across systems, and making the important things easier to find, understand, and act on.