QuantumBlack, AI by McKinsey vs Credera: full comparison for 2026
Quick verdict
QuantumBlack, AI by McKinsey (4.6/5) edges ahead of Credera (3.9/5) overall. QuantumBlack, AI by McKinsey is the better choice for large enterprises running AI as a CEO-level program. Credera is the stronger option for marketing and CX leaders planning AI around martech. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
QuantumBlack, AI by McKinsey vs Credera: head-to-head summary
| Criterion | QuantumBlack, AI by McKinsey | Credera |
|---|---|---|
| Founded | 2009 | 1999 |
| HQ | London, UK (McKinsey HQ: New York, USA) | Dallas, USA |
| Team size | 1,000+ | 3,500+ |
| Rating | 4.6 / 5 | 3.9 / 5 |
| Primary differentiator | Board-level strategy and change management backed by McKinsey's own AI engineering group | AI strategy connected to marketing technology through Omnicom ownership |
| Pricing model | Project fees set per engagement; rates not published | Consulting fees per engagement; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Kedro, Vizro, AWS | Salesforce, Adobe, AWS |
| Industries served | Banking & insurance, Healthcare & life sciences, Consumer & retail, Manufacturing, Energy, Public sector | Retail, Consumer goods, Financial services, Healthcare, Technology, Energy |
QuantumBlack, AI by McKinsey vs Credera: overview
QuantumBlack, AI by McKinsey
QuantumBlack started in London in 2009 as an independent analytics firm and has been part of McKinsey & Company since 2015. McKinsey says it now has more than 1,000 technical practitioners, plus an R&D group, QuantumBlack Labs, of around 200 engineers, designers, and data scientists (per company website; independently unverifiable). A typical engagement pairs a strategy team that works with the chief executive and board with data scientists who build the first models, so the roadmap and the proof come from one firm. That access to the top of a company is the main reason to hire it. Price is the other side of it: fees follow McKinsey's own levels and are not published.
Credera
Credera started in Dallas in 1999 and has been majority-owned by Omnicom since 2018; it reports 3,500+ consultants and engineers. It launched a global AI council in 2023 and is split into a consulting unit, covering strategy, data, and AI, and a separate digital unit. Its natural clients are marketing and customer-experience leaders who want AI plans tied to the marketing technology they already run.
Services and capabilities: QuantumBlack, AI by McKinsey vs Credera
| Capability | QuantumBlack, AI by McKinsey | Credera |
|---|---|---|
| Readiness assessment | ✗ | ✗ |
| Use-case prioritization | ✓ | ✗ |
| TCO / ROI modeling | ✗ | ✗ |
| AI governance & EU AI Act | ✓ | ✗ |
| Build vs. buy advice | ✗ | ✗ |
| Audit of live AI programs | ✗ | ✗ |
| Change management | ✓ | ✓ |
| Can build what it recommends | ✓ | ✓ |
Frameworks and platforms: QuantumBlack, AI by McKinsey vs Credera
| Framework / platform | QuantumBlack, AI by McKinsey | Credera |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | ✓ | N/A |
| Snowflake | N/A | N/A |
Pricing comparison: QuantumBlack, AI by McKinsey vs Credera
| Criterion | QuantumBlack, AI by McKinsey | Credera |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Strategy & roadmap engagement, Delivery team, Ongoing advisory | Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: QuantumBlack, AI by McKinsey vs Credera
| Dimension | QuantumBlack, AI by McKinsey | Credera |
|---|---|---|
| Best company size | Mid-market to enterprise | Mid-market to enterprise |
| Best industries | Banking & insurance, Healthcare & life sciences, Consumer & retail | Retail, Consumer goods, Financial services |
| Best use cases | Setting an enterprise AI agenda that the CEO and board will own., Redesigning operating models and roles around AI at a large company. | AI roadmaps for marketing and customer-experience teams., Personalization and content AI planned around existing martech. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
QuantumBlack, AI by McKinsey vs Credera: pros and cons
| QuantumBlack, AI by McKinsey | |
|---|---|
| + | Strategy teams work directly with chief executives and boards, which helps when AI spending needs sign-off at the very top |
| + | Change management and capability-building programs come from the same firm that wrote the strategy |
| + | Its own engineers build the first models, so feasibility gets tested before the roadmap is final |
| + | Maintains open-source tools (Kedro, Vizro) that show real engineering practice behind the advice |
| + | Industry depth across banking, health, consumer goods, and energy |
| - | Fees at McKinsey levels put it out of reach for most mid-market budgets |
| - | The firm that writes the roadmap also sells the follow-on work, so the plan may lean toward what McKinsey can deliver |
| - | Large programs mix partners with junior consultants, so confirm who will actually do the work |
| Credera | |
|---|---|
| + | Connects AI plans to marketing and customer-experience systems |
| + | Access to Omnicom's agency resources for campaign work |
| + | Management consulting and engineering in one firm |
| + | Large US presence for on-site work |
| - | Owned by an advertising holding company, so check for conflicts if you compete with Omnicom clients |
| - | AI strategy outside marketing and customer experience is less proven |
| - | Rates and minimums are not published |
Who should choose QuantumBlack, AI by McKinsey?
A typical fit: setting an enterprise AI agenda that the CEO and board will own.
Board-level strategy and change management backed by McKinsey's own AI engineering group. Minimum engagement is not publicly disclosed. Works best with clients in Banking & insurance, Healthcare & life sciences, Consumer & retail, Manufacturing, Energy, Public sector.
Who should choose Credera?
A typical fit: AI roadmaps for marketing and customer-experience teams.
AI strategy connected to marketing technology through Omnicom ownership. Minimum engagement is not publicly disclosed. Works best with clients in Retail, Consumer goods, Financial services, Healthcare, Technology, Energy.
Decision matrix: QuantumBlack, AI by McKinsey vs Credera
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Neither lists cost modeling; ask for a sample roadmap |
| You already run AI that is missing its targets | Neither offers a separate audit; ask for a scoped review |
| Regulators will ask how each AI system is governed | QuantumBlack, AI by McKinsey |
| AI will change roles and processes for many staff | Both run change management |
| You want the strategy firm to build the result too | Both can deliver after the strategy |
| Your budget is at the lower end | Compare: QuantumBlack, AI by McKinsey (Not disclosed) vs Credera (Not disclosed) |
| You need a large team across many countries | Credera |
Use case fit: QuantumBlack, AI by McKinsey vs Credera
| Use case | QuantumBlack, AI by McKinsey fit | Credera fit | Winner |
|---|---|---|---|
| Setting an enterprise AI agenda that the CEO and board will own. | Strong | Limited | QuantumBlack, AI by McKinsey |
| Redesigning operating models and roles around AI at a large company. | Strong | Limited | QuantumBlack, AI by McKinsey |
| AI roadmaps for marketing and customer-experience teams. | Limited | Strong | Credera |
| Personalization and content AI planned around existing martech. | Limited | Strong | Credera |
Verdict: QuantumBlack, AI by McKinsey vs Credera
QuantumBlack, AI by McKinsey (4.6/5) is the stronger overall choice for most AI Strategy Consulting projects. Board-level strategy and change management backed by McKinsey's own AI engineering group.
Credera (3.9/5) is worth a look if you need personalization and content AI planned around existing martech. If your situation matches that, Credera is a competitive option.
Related comparisons
QuantumBlack, AI by McKinsey vs Credera FAQ
Is QuantumBlack, AI by McKinsey better than Credera?
QuantumBlack, AI by McKinsey (4.6/5) scores higher overall, but "better" depends on your use case. QuantumBlack, AI by McKinsey's strongest advantage: strategy teams work directly with chief executives and boards, which helps when AI spending needs sign-off at the very top. Credera's strongest advantage: connects AI plans to marketing and customer-experience systems.
How do QuantumBlack, AI by McKinsey and Credera differ in pricing?
QuantumBlack, AI by McKinsey's pricing: project fees set per engagement; rates not published. Credera's pricing: consulting fees per engagement; rates not published. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: QuantumBlack, AI by McKinsey or Credera?
Credera is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultant before shortlisting.
What are the main differences between QuantumBlack, AI by McKinsey and Credera?
QuantumBlack, AI by McKinsey's primary differentiator is: board-level strategy and change management backed by McKinsey's own AI engineering group. Credera's primary differentiator is: AI strategy connected to marketing technology through Omnicom ownership. They also differ in team size (1,000+ vs 3,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Banking & insurance, Healthcare & life sciences vs Retail, Consumer goods).
Verify all details directly with each consultant before making a decision.