A boardroom of
experts on call.
Behind every breakdown is a panel of AI expert personas, each cut from a real operator archetype, each arguing your decision from their own seat. Not one assistant with one opinion. A room.
Real operators built this.
Advisorly is run by people who've actually done the jobs they advise on, and the fractional bench you can borrow is cut from the same cloth.
Award-winning marketing strategist. Gemma makes sure the right operators ever hear about us.
Turns strategy into a running system: product, delivery, and the cadence that makes it stick.
Serial SaaS founder with multiple exits. Mark builds the engine and keeps the technical bar high.
Ask one AI a hard question and you get one confident answer. Ask a real advisory board and you get something far more useful: disagreement, brought into the open, by people who see the problem differently. Advisorly's panel recreates that, a set of expert personas, each a distinct point of view, each built from how a seasoned operator in that role actually thinks.
These aren't impersonations of named individuals. They're archetypes: the sceptical CFO who asks what it costs you if you're wrong, the VP of Sales who only believes what the pipeline says, the auditor whose job is to find the hole in the plan. When your decision runs the panel, each persona pressure-tests it from their own seat. Then it's synthesised into one breakdown: where they agreed, where they didn't, and what to actually do.
Every angle your call deserves.
The functional roles that weigh in, drawn into the panel based on what your decision actually touches.
Runs the numbers and the downside. What does this cost in cash, runway, and optionality, and what happens to the model if your best case doesn't land?
Believes the pipeline, not the plan. Tests demand, pricing, and whether buyers will move the way your decision assumes.
Weighs feasibility, technical debt, and speed. Names the engineering trade-off hiding inside a business decision.
Adversarial by design. Looks for the unstated assumption, the missing risk, and the reason this could quietly go wrong.
Asks how the decision reads to the market and whether it strengthens or muddies who you are to customers.
Turns the call into execution, process, cadence, and whether the org can actually deliver on it.
Real frameworks. On the record.
The panel doesn't run on opinion. Every breakdown reaches for the management frameworks and mental models that operators trust, and tells you which it used.
Sort options by what you can walk back. Reversible calls deserve speed; one-way doors deserve a slower, harder look.
Weigh outcomes by likelihood and cost, and treat the downside of being wrong as seriously as the upside of being right.
Strip the decision back to what's actually true before reasoning up, instead of pattern-matching to whatever everyone else did.
Ask how this fails. Working backwards from the disaster surfaces risks that a list of pros and cons quietly skips.
Every yes is a no to something else. Name what you're giving up, not just what you're getting.
Play the decision forward. The first consequence is easy; the one after that is usually where the trouble, or the edge, lives.
Put the panel to work.
Bring a real decision and watch the room argue it out. One full breakdown for $1.