suggestibility.ai
The review board that convenes in seconds, not sprints.
Anyone who has sat on a real board of directors or an architecture review committee knows the shape of it: weeks to get on the calendar, pre-reads nobody finished, and decisions argued past midnight — then argued again the next quarter because nobody wrote the dissent down. The review itself was never the slow part. The coordination was.
Weeks of coordination around minutes of signal
- Scheduling across five senior calendars: 1–3 weeks of decision latency
- Pre-reads skimmed in the hallway, context rebuilt in the room
- Design review turnaround measured in meetings, not merit
- Dissent evaporates into whoever spoke last, or loudest, or latest
- Follow-up thread to reconstruct what was actually agreed
T+0 SUBMIT · T+9 DAYS MEETING · T+13 DAYS NOTES · T+? DECISION
Every reviewer reads everything, immediately
- The board convenes the moment you submit — no calendar to clear
- Independent expert personas from several model families review in parallel
- Consensus scored; minority positions recorded verbatim, attributed
- Prioritized, documented recommendations you can act on today
- A versioned review package as the durable record of the decision
T+0 SUBMIT · T+2 MINUTES REVIEW PACKAGE
Where the hours actually go
An architecture review process spends most of its life waiting: waiting for a quorum, waiting for the meeting, waiting for the write-up. The judgment inside it — the part worth having — fits in minutes. Separating the judgment from the calendar is the whole trick.
Use it before the humans meet
Teams that keep a human review step use Suggestibility as the pre-read: submit the ADR or threat model first, walk into the room with findings and recorded dissent already on the table, and spend the meeting on the two things that genuinely need human judgment.
Questions engineers ask
How long does an architecture review take with a human board?
One to three weeks end to end in most organizations: scheduling across senior calendars, pre-reads, a sixty-to-ninety-minute meeting, and the follow-up thread to capture what was decided. The review itself is minutes of signal inside hours of coordination.
How long does a Suggestibility review take?
Typically under two minutes on plans below Business, and under four minutes for Business and Enterprise — the bigger boards run more, higher-end reviewers, and they think longer. The board convenes the moment you submit, every reviewer reads the full artifact, and the review package — findings, consensus, recorded dissent, and prioritized recommendations — arrives while the context is still fresh in your head.
Does this replace human judgment?
No — it replaces the coordination cost, not the decision. You still decide. The board hands you structured findings and genuine disagreement between independent model families to decide with, before senior calendar time gets spent.
What happens to disagreement?
It's preserved. Minority positions are recorded verbatim in the review package and attributed to the reviewer that held them. Boardroom arguments evaporate; recorded dissent doesn't.
What can the board review?
Technical artifacts: architecture decision records (ADRs), technical designs, application programming interface (API) and integration proposals, threat models, incident postmortems, and data or analytics designs. Non-technical artifacts too: privacy policies, data-retention and compliance policies, AI (artificial intelligence) governance and acceptable-use policies, vendor security questionnaires, and product requirement documents (PRDs) — anywhere a structured second opinion before you commit is worth having.
Why several model families instead of one model?
Because several prompts pointed at one model produce manufactured variety. Independent model families disagree for real reasons — different training, different blind spots — which is what makes the dissent worth recording.
Is an AI review board more efficient than a human review board?
On elapsed time, yes, and it is not close: one to three weeks against a review package in minutes. But efficiency is the wrong frame for what changes. A human board spends most of its life waiting — for a quorum, for the meeting, for the write-up — while the judgment worth having fits in minutes. An AI review board separates the judgment from the calendar. It does not make senior engineers think faster; it stops their thinking being gated on everyone being free at the same time.
Can AI replace a human review board?
No, and a product that claimed otherwise would be selling you the wrong thing. What it replaces is the coordination cost, not the decision. Accountability cannot be delegated to a model: someone still signs off. The realistic pattern is a pre-read — submit the ADR or threat model first, walk into the room with findings and recorded dissent already on the table, and spend the human hour on the two questions that genuinely need human judgment rather than on discovering the other eight.
How much does an AI review board cost compared with a human one?
Five senior engineers in a ninety-minute meeting is seven and a half person-hours before anyone writes anything down, and that excludes the pre-reads and the follow-up thread. Apply your own loaded hourly figure to that number. A single Suggestibility review costs $15 for a board of three reviewers, $29 for five, or $69 for seven. The comparison most teams find useful is not cost per review but how many reviews never happen at all because scheduling one is not worth the effort.