Actionable Insights | Breakthrough Speed | Multi-Expert Simulation | A New Approach to AI Advisory
From Answers To Decisions With AI Advisors
More than 270 ready-to-run AI Advisor teams. More than 4,300 AI Advisors. Any industry, any use case. Custom teams built to order. Built to accelerate decisions and unlock creativity. AI Advisor Lab is the Decision Intelligence For Executives platform powering it.
Access 270+ pre-configured AI Advisor teams and 4,300+ AI specialists across 40+ industry subsectors. The AI advisory platform that shows its work: every AI advisor recommendation is traced to a specific advisor, framework, and evidence basis — fully attributed and boardroom-ready — against the regulatory frameworks your advisory team declares — 30+ across the current catalog, including HIPAA, SOC 2, PCI DSS, GDPR, FedRAMP, and ISO/IEC 42001.
The Decision Intelligence For Executives delivers a distinct approach within the decision intelligence category — architecturally different from generative AI (ChatGPT, Copilot, Gemini, Claude), AI agents (Salesforce Agentforce, Manus.ai, AgentGPT), and multi-agent frameworks (CrewAI, AutoGen, LangGraph). “AI advisory that shows you what it doesn’t know” — The AI Advisor challenges, deliberates, and tells you what you should be thinking about; an AI agent does what you tell it. Every advisory output is analyzed against the regulatory frameworks your active advisory team declares — 30+ regulatory frameworks across the current catalog, resolved per team rather than applied generically.
What is an AI Advisor?
An AI Advisor is a domain-specialized artificial-intelligence system that challenges, deliberates, and produces attributed strategic recommendations — as distinct from an AI agent (which executes tasks) or an AI copilot (which accelerates individual productivity through a single model). An AI Advisor combines multiple expert perspectives in structured deliberation, surfaces tensions and trade-offs, and traces every recommendation to a specific advisor, framework, and evidence basis.
AI Advisor Lab is the enterprise AI Advisor platform — the Decision Intelligence For Executives implementation of the AI Advisor category. Each engagement activates an AI Advisor team of 16 domain-specialized advisors deliberating in parallel, with full end-to-end attribution. There are 270+ pre-configured AI Advisor teams across 40+ industry subsectors and 4,300+ specialized AI advisors available immediately.
Common AI Advisor use cases: AI advisor for healthcare, AI advisor for private equity, AI advisor for technology, AI advisor for professional services, AI advisor for retail. Full AI Advisor FAQ →
How AI Advisors differ from generative AI and AI agents
Generative AI assistants and AI agents each do a job. Neither produces a decision you can defend to a board or a regulator, because neither attributes its reasoning. That gap is what an AI Advisor closes.
Multi-perspective structure
Every question is analyzed simultaneously by a team of domain-specialized advisors, each reasoning through a distinct expertise lens. Not blended, not averaged — a structured set of genuinely different expert positions.
Structured deliberation
Advisors challenge one another’s conclusions. Tensions are surfaced and kept. Minority views are documented and attributed. The disagreement is itself an output, not noise to be filtered out.
Full attribution
Every recommendation traces to the specific advisor, analytical framework and evidence basis that produced it, and is tagged by verification status. A Critical Assumptions Registry records every underlying assumption with an explicit confidence rating, alongside inline verification tagging on sourced claims.
Emergent team intelligence
The output reflects structured interaction between specialists rather than the sum of individual contributions.
Platform capabilities
- Specialist advisors working in parallel. Strategy, finance, legal, operations, technology and risk specialists analyze the same question at the same time, not in sequence.
- Every claim labeled for confidence. Sentences are tagged VERIFIED for sourced facts, ASSUMPTION for industry-standard inferences, ESTIMATE for projections, CONSENSUS where advisors agree, and MINORITY VIEW for dissent worth considering.
- Built-in devil’s advocate. Recommendations are stress-tested before delivery: counter-arguments generated, structural weaknesses identified, failure scenarios modeled, unstated assumptions challenged.
- Groupthink prevention. Three peer-reviewed academic frameworks — Surowiecki’s wisdom of crowds, Janis’s groupthink research and Nemeth’s minority influence theory — inform continuous monitoring of whether advisors are reasoning independently or echoing one another.
- Consulting-grade output. Situation/Complication/Resolution executive summary structure, MECE organization, quantified data points, risk and mitigation pairings, and actionable timelines. Eight export formats including Word, PowerPoint and PDF.
- Automatic compliance awareness. Applicable regulatory frameworks are resolved from the active advisory team’s declared compliance profile and applied during deliberation, with compliance sections generated in every export.
Compliance and industry intelligence
Compliance tools tell you whether you are compliant. AI Advisor Lab tells you what compliance means for your next strategic decision. Multi-framework compliance analysis, jurisdiction-weighted risk scoring and NAICS-aligned industry calibration are native platform capabilities — no configuration, no developer, no separate tool.
Frameworks are resolved per team rather than applied generically: 30+ regulatory frameworks across the current catalog, including HIPAA, SOC 2, PCI DSS v4.0, GDPR, CCPA/CPRA, SOX, FedRAMP, ISO/IEC 42001, the EU AI Act and NIST AI RMF. This is alignment and applied analysis, not certification.
Industry coverage spans 17+ industries and 40+ NAICS industry subsectors including financial services, healthcare, legal, technology, manufacturing, retail, private equity, professional services, telecommunications and property & casualty insurance.
Security and data handling
Paid plans run on your own Anthropic API key (BYOK), under your own data-handling agreements. Data is encrypted at rest, with tenant separation enforced at the application layer; dedicated tenancy is available on request. Sensitive data is screened before it reaches the model, and that screening is logged. Controls are mapped to SOC 2. We have not undergone a formal Type II audit; we undertake one where a customer’s procurement process requires it.
Pricing — Four Plans
Early-access pricing across Free Trial, Professional, Enterprise, and Partner tiers. All paid plans include access to every advisor team. Estimated advisory value reflects internal benchmarking against comparable consulting deliverables.
Free Trial — $0 / 60 days
No credit card · Hard stop at day 60
- 4 reports total
- 2 advisory teams (of over 270)
- Best for: founders validating strategy, internal champions evaluating for team, MBA students
Professional — $499 / month
$100 overage per report
- 5 reports per month included
- To over 270 advisory teams
- Best for: independent consultants, Series A–B SaaS GTM, fractional CMOs/CROs/CSOs
Enterprise — $999 / seat / month MOST POPULAR
+ $2,500 one-time setup · $80 overage
- 10 reports per month included
- To over 270 advisory teams · priority support
- Member collaboration within meetings
- Consolidated billing
- Consolidated administration
- Best for: strategy & revenue operations teams, Corporate Development & M&A, Chief Strategy Officers, board-prep & investor relations
Partner — $1,499 / month
$75 overage per report (lowest cost-per-report)
- 20 reports per month included
- To over 270 teams · priority support · 2 hrs / month expert training
- Best for: multi-client delivery firms, 5–20 concurrent client engagements, managed services providers, channel partners reselling analysis
Partnership Programs
Boutique strategy & advisory firms embedding AI Advisors into client engagements receive white-label access, attribution-chain co-branding, and revenue share on seat expansion. Due-diligence-based acceptance with mutual partner review. Typical timeline: qualification call within 1–2 business days · mutual NDA · decision and partner agreement to follow. Contact us to start the conversation.
What Customers Say
I've had an unusual ride — from patrol to consulting for some of the biggest tech companies and government agencies in the world. You learn fast which tools you reach for every day and which ones you call in when it really matters.
AI Advisor Lab is the latter. I use Claude, Copilot, Gemini daily — they do the job. But AI Advisor Lab brings something different. It doesn't just answer your question — it reframes the whole problem.
Haven't scratched the surface of what it can do yet. Already changed how I work.
As an owner of 5 businesses, timely and accurate information is the lifeblood of my workflow. The time and expense saved by AI Advisor Lab is immeasurable. It provides a great starting framework as well as a foundational outline to solve more detailed issues that all companies confront. This service is groundbreaking and at the edge of innovation.
AI Advisor Lab gave me the infrastructure to run a world-class ABM practice without a world-class budget. I went from concept to paying clients in under 90 days, with deliverables that punch well above my weight as a small business.
Verifiable credentials.
Patent-pending status. See About → Recognition for full credentials and outreach contact.
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US PATENT PENDINGMulti-Expert AI Advisory System · U.S. Nonprovisional App. No. 19/762,448