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Management Consultant AI

Ask a decision question, get an analyst-grade strategy brief in ~5 minutes — multi-step reasoning over the context you provide, every claim cited.

Management Consultant AI is an analyst-grade strategy briefing service. Ask a decision question — 'Should we shift to usage-based pricing?', 'Is this M&A thesis intact?', 'What's the archetype of this competitor?' — and a multi-step reasoning pipeline runs for ~5 minutes, producing a cited markdown brief with a bottom-line recommendation, conviction level, and quality score. You paste the context (financials, strategy docs, meeting notes, filings); the agent auto-RAG's it and pulls only relevant passages into each sub-question. Live in portal; each run costs a few cents in compute (shown per consultation).

What makes it different: Live multi-step reasoning pipeline. Cost transparent per run (~$0.10-0.25). Reports rendered as cited markdown, not vibes.

What it does

Capabilities

Filing-knowledge-base (FKB)

pgvector-backed semantic search across the company's filing trail. Every claim in the brief cites the specific 10-K/10-Q section it came from.

Archetype classification

Observable-financial-grounded classifier puts the company in a strategy archetype (compounder, consolidator, turnaround, etc.) — not vibes-based.

Catalyst assessor

Identifies specific upcoming events (earnings, regulatory milestones, segment divestitures) most likely to move the stock and quantifies the expected magnitude.

Diff-over-time

Track how management's messaging changes quarter-over-quarter. When the language shifts (caution → confidence, or vice versa), surface it explicitly.

How it works

Input → output

Input
(Coming soon — pilot tickers selected per engagement)
  1. 1Ingest full filing history into FKB (vectorized 10-K / 10-Q / 8-K / DEF 14A)
  2. 2Run archetype classifier against observable financials (capital allocation, segment mix, M&A cadence)
  3. 3Walk the catalyst-assessor framework: 12 specific question nodes per company
  4. 4LLM synthesizes the strategy brief — every claim hyperlinked to its FKB citation
  5. 5Quarterly diff: surface language changes vs. prior period (commentary, not as drivers)
Output

Multi-page strategy brief: archetype + thesis + catalysts + risks + management-tone diff. Every paragraph cited.

Output preview
portal · live
(your ticker)
Strategy brief in active build
as of 2026-06-25
Coming soon

We're shipping the consultant-grade strategy brief format for select pilot tickers. Each brief will combine the archetype classifier, FKB citations, catalyst assessor, and quarterly-tone diff into one structured document.

Brief structure (preview)
  • Archetype classification (5 sentences + supporting financials)
  • Bull / bear / base case thesis with FKB citations
  • Catalyst assessor: next 12-month moves with expected magnitude
  • Quarterly tone diff: management language drift
Why this isn't a wrapper

Why this isn't a 10-K summarizer

Generic summarization is table stakes. The hard part is being right.

  • Archetype classification is grounded in observable financials (capital allocation history, segment mix changes, M&A pace), not in what management calls itself.
  • Every claim in the brief is a hyperlink to the source paragraph. A committee can verify any assertion in 1 click.
  • Quarterly diffs surface the silent narrative shift — when guidance language changes from 'durable' to 'navigating' (or vice versa).
  • The catalyst assessor specifically identifies high-impact upcoming events and quantifies expected magnitude rather than listing every event in the next 12 months.

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