Should I use McKinsey & Company?
Global management consulting firm - mckinsey.com
Depends. Buy only if you're a large enterprise with a complex, high-stakes strategy problem and a six-to-seven-figure advisory budget. Startups, SMBs, and anyone wanting hands-on execution should use a boutique firm or do it in-house.
Confidence
Medium. Based on 14 public sources; many review snippets were truncated, limiting verbatim quotes.
Ratings
- Value for money
- Ease of useService engagement; no usability evidence
- Feature depth
- Support qualityNo client-support evidence found
- Security posture
Pricing
Project-based consulting
Custom; ~$500K cited per market-entry study
ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierNo
Outcome-based dealsCustom, tied to results
Best for
- →Fortune-500 strategy overhauls
- →Boards needing third-party validation
- →Multi-market entry decisions
- →Orgs with $1M+ advisory budgets
Not for
- ×Startups and SMBs — absurd overkill
- ×Anyone who can't burn $500K+ per study
- ×Buyers wanting implementation, not recommendations
- ×Projects sharing sensitive data without security diligence
Gotchas - check before you buy
high
No published pricing; engagements custom-quoted, typically six figures.
high
Handing over confidential data carries risk: exposed APIs leaked ~46M Lilli chats.
medium
Outcome-based pricing invites scoping disputes over what counts as an outcome.
low
No public security page found at only a PDF overview exists.
Pros and cons
Pros
- +Global reach with deep industry research bench
- +Publishes vast free research anyone can use
- +Shifting toward outcome-based pricing tied to results
- +Productized pricing solutions via Periscope
Cons
- −Cited ~$500K for one market-entry study
- −Its own AI platform breached; 46M chats exposed
- −Public sentiment frequently questions fees versus value
- −Rate-card billing rewards time over outcomes
Sources & method
Analyzed 9/20/2026 - 13 sources - Breach reported: an autonomous agent exploited exposed APIs on McKinsey's Lilli platform in ~2 hours; ~46M chats and sensitive data exposed.
official x1review x4security x4news x4
- Lilli AI platform breached (2026), A security firm's autonomous AI agent exploited SQL injection via exposed APIs in about 2 hours, reportedly exposing ~46M chats and sensitive data.
- Exposed APIs were the root cause, Analysis attributes the breach to exposed APIs rather than the AI agent itself.
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