Turn AI models into
your own think tank.
You're facing a decision with real stakes — stay or migrate, hire or restructure, build or buy. There's no obvious right answer, and one chatbot thread usually isn't enough.
Decision Copilot is built for that moment. You're guided through describing your situation. Multiple AI models analyze it independently, so no single model's framing quietly steers the outcome. The best ideas from your think tank are combined into a Unified Brief with a plan you can refine and act on.
Built for real decisions
Not hypotheticals. The kind of calls that keep you up at night — the ones where you can't afford any reasoning gaps.
Infrastructure cost decisions
Should we migrate from Vercel to self-hosted AWS to cut costs from $5k to $600/month — and what are we actually risking?
Leadership & people calls
Our VP Sales is underperforming. Do we support them with ops, or make a change — and how do we protect the customer relationships?
Compliance & regulatory
We're shipping AI features to EU enterprise customers. What's our EU AI Act exposure, and what do RFPs actually require?
Strategic M&A
A PE-backed acquisition of a distressed hospital. What's the regulatory path, and can we secure the union agreements?
Office & real estate
Our downtown lease ends in 7 months and we need a hybrid policy. What are the realistic alternatives and hidden costs?
Tech modernization
Rip-and-replace vs incremental sidecar approach for a 20-year-old core banking system. What's the regulator's likely stance?
How it works
You bring the decision. Decision Copilot brings independent perspectives pressure-testing the same problem, then creates a Unified Brief with plans you can refine and act on.
Full walkthrough →Not a vote. Not a favorite.
A synthesis of only the best ideas.
The same structured analysis rubric for every model, so they don't leave anything out. Independent answers, so no early opinion sways the room. Blind synthesis, so no model — or brand — favors itself.
Every model starts from the same brief, alone
Each one works through the same structure independently, before seeing any other model's answer.
Models can look things up
Models pull in live web search when they need current information, instead of guessing.
Independent answers, side by side
Every model's answer is shown as-is — where they agree, and where they don't.
Then each model reviews the others' thinking
With independent answers already locked in, each model weighs what the others found and says what holds up.
Written blind, attributed after
One model merges the strongest thinking into a single brief without knowing which provider said what — ideas get through, brand names don't. Once it's done, you can still see whose thinking made the cut.
Keep refining after the brief
Discuss the analysis with any model, edit sections in place, or regenerate the Unified Brief when you want a different merge.
Is brand bias real? We hide provider names when the Unified Brief is written, so credit follows the idea — not the logo. See how we measure bias in Model Studies →
Not another multi-model chat
Built for a decision you have to defend — not a thread you browse.
Leading multi-model tools orchestrate several AIs in an open conversation. Decision Copilot starts from a structured intake and a fixed analytical rubric, so disagreement is measurable — and every brief is comparable.
What disagreement means
Models catch each other's factual errors and hallucinations.
Models are checked for whether they honestly pressure-test your plan — or reinforce what you already lean toward.
Output consistency
Shape varies by conversation mode — debate, red-team, freeform.
Structured briefs share one rubric — Risk, Reversibility, Stakeholders — and you pick how models analyze: challenge your lean, show the opposition, risk-first, or freeform.
Unit of work
An open-ended conversation thread.
A specific decision, with a brief you can point to later and defend.
Irreversibility
Not a distinct concept.
Built into every brief — what's safe to try, what's irreversible, and what must clear first.
Evidence behind the claims
A feature description — AIs flag each other's inconsistencies.
Case-based research: blind-coded dimensions with source quotes you can browse.
What are Risk, Reversibility, and Stakeholders?
Why the schema matters
Same skeleton every time — so comparison is actually possible.
Because every run shares one fixed structure, we can code cases against the same dimensions and compare models on a brief you can defend later — not a thread that disappears into chat history. That's also what makes rigorous model evaluation possible. See the Model Studies research →
Why Risk, Reversibility, and Stakeholders?
Most AI answers focus on whether something is a good idea. Important decisions also need you to ask what could go wrong, how hard it is to undo, and who has to live with the outcome. Every analysis runs through three lenses so you don't get a technically correct answer that ignores downside, lock-in, or the humans involved.
Risk
What could go wrong?
Surfaces top risks, hidden assumptions, and blind spots — the things that look fine on paper until they aren't.
Reversibility
Can I undo this?
Identifies which steps lock you in and what's safe to try first, before you commit fully.
Stakeholders
Who does this affect?
Maps stakeholder impacts, execution risks, and who needs to be brought along for this to actually work.
Have a decision worth thinking through?
Describe your situation and get structured analysis back — from one model or your full think tank, synthesized into a brief when you need it.