Unblock your stalled AI decision.

✓ For you if:

• •Exec teams stuck on a high-stakes technology or AI decision
• •AI initiatives active but ROI unclear
• •Platform work creating noise instead of outcomes
• •Multiple stakeholders, unclear ownership

✗ Not for you if:

• •Staff augmentation or extra hands
• •Open-ended strategy with no decision deadline
• •Tool selection without decision context
• •Prototype-first engagements

Decision Statement

Defines the decision, owner, and decision deadline.

Options & Tradeoffs

2–4 viable options with explicit risks and implications.

Stop/Start List

What pauses, stops, or moves forward immediately.

Decision Memo (2–5 pages)

Short document leadership can act on; becomes record of decision.

Success Signals (KPIs)

3–5 measurable indicators tied to the decision outcome.

30-60-90 Next Actions

Named owners and sequenced steps; not a generic roadmap.

Frame the Decision

Align on the decision domain and success criteria.

Targeted Inputs

3–5 interviews across strategy, delivery, and outcome ownership.

Working Session

Pressure-test options, surface constraints, make tradeoffs explicit.

Decision Memo Delivered

Recommendation, stop/start list, KPIs, owners, next actions.

Jen Anderson, PhD

Aurvia is led by a technologist trained in behavioral neuroscience who studies how decisions break down under complexity, ambiguity, and organizational pressure. Jen has spent two decades designing and leading technology systems while observing the cognitive and structural patterns that cause capable teams to stall.

Her work sits at the intersection of decision science, systems thinking, and applied AI—grounded in how people actually perceive risk, tradeoffs, and ownership inside organizations.

Decision frameworks grounded in human behavior

The Decision Diagnostic is informed by behavioral neuroscience, systems engineering, and real-world operating experience. Rather than prescribing tools or structures, it surfaces the cognitive and organizational constraints that prevent decisions from being made—and designs mechanisms that reduce ambiguity, bias, and diffusion of ownership.

Outcomes that reflect decision quality

• ✓Shortened decision cycles by making tradeoffs and ownership explicit
• ✓Stopped low-leverage initiatives once decision criteria were clarified
• ✓Established feedback loops that made decision outcomes measurable over time

Is this hourly or project-based?

Project-based, fixed scope. Optional capped advisory blocks available after the diagnostic if needed.

Do you implement or staff teams?

We design decision rights, operating model, and role needs; your teams execute. We can support candidate evaluation on a scoped basis.

What if we don't know the right question yet?

We scope the diagnostic to identify the 1–2 decisions leadership must make next and define success signals.

What happens after the diagnostic?

If needed, we can run a time-boxed operating model sprint to enable execution. Most teams move forward independently with the decision memo and action plan.