Sandra Wissa
My Method

Not a better tool — a better operating system.

One system that climbs the AI curve — assisted, augmented, agentic. How fast it climbs depends on the stakes: autonomy is earned tier by tier, and a human always owns the decisions that matter.

The Core

Three modes, one discipline.

Automate the routine. Augment the judgment calls. Grant agentic autonomy only where it's earned — low-stakes first, expanding as the system proves out. The mode changes with the work; the discipline doesn't — a human never leaves the high-stakes call.

MODE 01 Automate Routine, rules-based work — pacing, QA, tags, placements. Runs on its own.
MODE 02 Augment The judgment calls — strategy, plans, optimizations. AI drafts; a human decides and ships.
MODE 03 Agentic Multi-step workflows that act toward a goal. Earned low-stakes first, as the system proves out.

The mode flexes with the work and the stakes. What never changes: a human owns the decisions that matter.

Governing Principles

Four rules run through every workflow.

Interrogate before you build — diagnosis precedes output, always.
A human owns the decisions that matter — automate the routine, gate the rest.
Sharpen at every handoff — each step raises the bar, never just passes it along.
End on the outcome — a decision made, a campaign live, or performance moved; never just a deliverable handed off.
How It Adapts

One operating system, three places it pays off.

The same principles drop onto whatever the work is. The steps differ; the discipline doesn't.

Planning

Brief-to-Boardroom

A raw brief is interrogated, shaped into strategy and narrative, and sharpened into a decision the room can actually make — faster than the agency baseline.

Activation

Partner-to-Performance

Partners and channels are evaluated, briefed, and scored against weighted criteria — evidence-based, launched faster, accountable at every gate.

Performance

Live optimization

In-flight media is read, optimized, and measured against the pre-AI baseline — the loop that ties the system to a business result.

See the system measured in outcomes.

The case studies tie the method to real business results — against the agency and pre-AI baselines.