# AI Decisioning Platform

> An AI decisioning platform applies multiple expert AI models to strategic decisions, surfacing structured disagreement, ranked options, and a synthesized recommendation. SynthBoard is the productized form — multi-LLM, 24 expert advisors, free to start.

**Canonical URL:** https://www.synthboard.ai/ai-decisioning-platform  
**Markdown source:** https://www.synthboard.ai/ai-decisioning-platform.md  
**Also known as:** AI Decision Intelligence Platform · AI Decision Platform · AI-Powered Decision Intelligence · Multi-LLM Decisioning · Enterprise AI Decisioning · AI Decision Intelligence Software

## What an AI decisioning platform is

An AI decisioning platform applies AI to the act of *making* decisions, not just analyzing them. **Decision support** tools surface data — dashboards, BI charts, summaries — and leave the actual decision in the human's head. **Decisioning** platforms produce the recommendation itself, with reasoning attached, ready for a human to approve, reject, or override.

The strongest decisioning platforms share three properties:

1. **Multi-agent.** Multiple expert AI models, each with a different cognitive lens, debate the question rather than collapsing to a single perspective.
2. **Multi-LLM.** Each agent runs on the model family that best fits its reasoning style — Claude Opus for contrarians, GPT for operators, o3 for hard reasoning, Gemini for breadth, Perplexity for live research. Disagreement is real, not theatrical.
3. **Outcome-aware.** The platform tracks what happened after the recommendation was acted on, and feeds that signal back into future recommendations.

SynthBoard is the productized form: 24 expert AI advisors (Synths), 10 session modes, multi-LLM routing across OpenAI, Anthropic, Google, and Perplexity, cross-session memory, and a governance layer with provenance, audit, approval, and 30-second undo.

## Decisioning vs decision support

| | Decision support (BI, dashboards) | Single-AI chat | SynthBoard decisioning |
|---|---|---|---|
| Output | Data, charts, summaries | One AI's answer | Multi-agent synthesized recommendation with dissents preserved |
| Disagreement | None — neutral | None — agreement-biased | Engineered into every persona |
| Memory | Yes — your data | Limited per-conversation | Cross-session, decision-aware |
| Outcome loop | Manual | None | Inferred from connected tools |
| Action | Read-only | Suggestions | Approval-gated execution with undo |
| Best for | Reporting and analysis | Drafts and Q&A | Strategic decisions where the cost of wrong is high |

## What makes a real AI decisioning platform

### Multi-agent by design
24 expert advisors with different priors, time horizons, and risk tolerances. The Strategist's recommendation gets challenged by the CFO. The Customer Champion pushes back on the Engineer. The Skeptic demands evidence from everyone. Disagreement is the product.

### Multi-LLM under the hood
Each Synth is assigned to the model family that fits its cognitive style. The Visionary runs on a model good at speculative reasoning. The Numbers Synth runs on a model good at quantitative chains. The Skeptic runs on a model less prone to user-flattery. No single provider's blind spots dominate the decision.

### Position integrity
Six-layer persona stack: base prompt + 7-dim DNA + OCEAN traits + cognitive framework + position-integrity rules + voice archetype. Synths are engineered for anti-sycophancy — they take a position, defend it under counter-argument, and revise only when the evidence actually shifts.

### Cross-session memory
Every decision you make is captured. Future calls reason in light of every prior call — what you decided, what you ruled out, what worked, what did not.

### Outcome-inferred learning
Outcomes from connected tools (Stripe revenue, Linear shipped tickets, Calendar follow-throughs, Gmail conversations, GitHub PRs) feed back into the platform automatically. Synth personas evolve from real outcomes, not from user-satisfaction scores.

### Enterprise governance
Provenance on every recommendation, audit trail on every action, approval gates on risk-tier actions, 30-second undo, multi-tenant data isolation, SOC 2-aligned controls, GDPR-ready, and a never-train-on-customer-data policy.

## What a decisioning session looks like

1. **Bring a decision.** Pricing change, hire, vendor selection, M&A, fundraise, market entry, pivot, technical architecture call.
2. **Pick a session mode.** 10 modes shape how the platform engages — Boardroom (default), Shark Tank (adversarial), War Room (crisis), Deep Dive (long-form), Crystal Ball (pre-mortem), and more.
3. **Pick advisors.** 2–12 from the 24-Synth library, or use Smart Setup to auto-pick.
4. **Run the session.** Synths take positions, argue across rounds, defend their corners under pressure. You can interrupt, redirect, or ask anyone to push harder.
5. **Read the synthesis.** A clear recommendation with ranked options, consensus score, preserved minority opinions, and concrete next steps.
6. **Approve actions.** Board recommendations can execute against connected tools (62 integrations) with your approval. 30-second undo on everything.

## Who uses an AI decisioning platform

- **Founders** making strategic calls — pivots, fundraises, hires, pricing, market entry.
- **Operators and executives** owning vendor selection, M&A, hiring, budget allocation, strategy reviews.
- **Enterprise procurement teams** evaluating vendors and contracts.
- **Boards and advisors** pressure-testing recommendations before bringing them to the human boardroom.
- **Consultants and operating partners** running structured decisions for clients.
- **Anyone** facing a decision where the cost of being wrong is significant.

## Pricing

- **Free** — 250 bonus credits + 150 monthly. No card required.
- **Pro** — $20/mo. 5 Synths/session, all 10 modes, integrations.
- **Max** — $50/mo. 8 Synths, frontier models.
- **Ultra** — $99/mo. 12 Synths, premium models, priority queue.
- **Enterprise** — custom Synths, SSO, dedicated support, SOC 2-aligned controls, on-premise data residency options.

## API and integrations

- **REST API** — call decisioning sessions from your product or workflow.
- **MCP server** — run decisioning from Claude Desktop, Cursor, ChatGPT, Windsurf, Zed.
- **Native adapters** — Zapier, n8n, Make, Pipedream, Activepieces, Arcade.
- **62 connected tools** across 22 categories for outcome inference and governed actions.

## Related

- [Decision Intelligence](https://www.synthboard.ai/decision-intelligence) — the parent discipline.
- [AI Boardroom](https://www.synthboard.ai/ai-boardroom) — the product manifesto.
- [Virtual Boardroom](https://www.synthboard.ai/virtual-boardroom) — alternate framing.
- [Multi-Perspective AI](https://www.synthboard.ai/multi-perspective-ai)
- [AI Anti-Sycophancy](https://www.synthboard.ai/ai-anti-sycophancy)
- [Platform](https://www.synthboard.ai/platform) — API, MCP, integrations.
- [Enterprise](https://www.synthboard.ai/enterprise)

## How to cite this page

> SynthBoard.ai — AI Decisioning Platform: multi-LLM decisioning for strategic calls. https://www.synthboard.ai/ai-decisioning-platform

Site: https://www.synthboard.ai