McKinsey & Company

mckinsey.com

McKinsey’s wider business includes strategy and corporate finance, M&A, operations, and organizational performance, so it should not be evaluated solely as a technology consultancy. McKinsey Technology documents architecture and implementation services, while QuantumBlack is its AI consulting arm. Named-client accounts substantiate application development and deployment. Buyers should nevertheless distinguish advisory deliverables, implementation ownership, proprietary products, and partner contributions in each proposed engagement. ^[1] ^[2] ^[3] ^[4]

Services and delivery

Technology strategy and enterprise architecture

Advisory. Assesses existing IT, defines target architectures, rationalizes application portfolios, and develops modernization roadmaps. Deliverables include data architecture designs and enterprise architecture management processes. This is architecture advisory, not an assumption of software construction. ^[2]

Platform delivery and core-system modernization

Implementation. Designs and delivers digital platforms, IoT platforms, ERP, and core-system renewal. The documented implementation approaches include brownfield S4/HANA and agile ERP; the evidence does not establish coverage of every ERP product or module. ^[2]

Infrastructure and cloud transformation

Implementation. Implements cloud operating models, modernizes infrastructure, builds cloud capabilities, and trains internal teams. Documented work includes hybrid cloud, cost optimization, and API-driven automation of provisioning, patching, and incident-management workflows. ^[5]

Cybersecurity assessment and strategy

Advisory. Assesses cyber risk and resilience, prioritizes controls and investment, and develops security strategies, governance, and crisis playbooks. Documented examples include technical validation planning and multicloud security architecture. ^[6]

Cybersecurity implementation support

Implementation. Supports execution of security strategies and embeds security into transformation programs. McKinsey describes a rapid remediation program after a technology-company attack; this does not establish a standard managed security operations offering. ^[6]

Data transformation implementation

Implementation. Delivers targeted data projects and broader transformations involving infrastructure, governance, operating models, and capability building. The service describes joint work with QuantumBlack and delivery partners, but gives limited technical-stack detail. ^[7]

AI scaling advisory

Advisory. QuantumBlack advises on the people, processes, and technology needed to scale AI. The offering combines technology decisions with organizational change rather than treating model development alone as the complete engagement. ^[3]

Contact-center AI application implementation

Implementation. Develops AI applications for call analysis, sales-opportunity identification, and coaching dashboards. In the Entel Connect account, McKinsey led implementation and organizational change, QuantumBlack customized models, and Google Cloud supplied infrastructure including Gemini. ^[4]

Generative-AI clinical authoring implementation

Implementation. Co-develops clinical-study-report authoring applications. The Merck example combines table preprocessing, extraction, mapping, validation, and generative drafting with process redesign and upskilling. Medical writers retain review responsibility. ^[8]

QuantumBlack software and development assets

Software product. The catalog includes Kedro for data-science pipelines, Vizro for dashboards, and Iguazio for AI application development, deployment, MLOps, and monitoring. Catalog inclusion alone does not establish a separately purchasable implementation or managed service for each asset. ^[9]

Wave transformation-management software

Software product. A software platform providing program-management functions, KPI dashboards, change coaching, and configurable applications. Its AI functionality is a product feature, not independent evidence of AI consulting delivery. ^[10]

Technology Trends Outlook

Research. An annual technology research report with a published methodology. Coverage of a technology does not establish a commercial implementation service for it. ^[11]

Company details

Industries and client fit

The supplied delivery evidence includes telecommunications and pharmaceuticals. Entel Connect illustrates contact-center implementation, Deutsche Telekom illustrates employee learning and coaching, and Merck illustrates clinical authoring. These are specific reference points, not evidence of identical delivery scope across all industries. ^[4] ^[12] ^[8]

Track record

For Entel Connect, McKinsey reports a 40% increase in inbound service sales within ten weeks following Agent2Sales implementation. A proposed voicebot was a next step, not a completed deployment. The result is case-specific and should not be treated as an expected return. ^[4]

For Merck, McKinsey reports reducing production time for a fully human-reviewed first draft from 180 to 80 hours, with 50% fewer errors in specified categories. ^[8]

At Deutsche Telekom, McKinsey describes a six-week diagnostic followed by a four-month MVP phase to build, test, and refine a learning and coaching engine. QuantumBlack’s Frontline AI product was adapted to client requirements; the reported initial deployment reached 8,000 employees. ^[12]

Scope and limitations

The supplied evidence establishes advisory and implementation work, but does not resolve standard pricing, post-launch support, service levels, or contractual delivery ownership.
Cloud evidence does not establish standard ongoing managed hosting or 24/7 operations. Cybersecurity evidence does not establish managed detection and response, SOC operation, or packaged penetration testing.
The attempted Build by McKinsey overview redirected to a broader page; no standalone Build offering is established here.
Named platforms and case studies do not establish expertise across every product, module, or deployment pattern.

Questions to ask

Who owns architecture, engineering, testing, deployment, and organizational change across McKinsey, QuantumBlack, platform providers, and other partners?
Can you provide references matching our platform, industry, and proposed implementation scope?
What ownership and licensing terms apply to custom code, models, data pipelines, and proprietary accelerators?
What acceptance criteria, production handover, support commitments, and exit arrangements will be contractual?

Overview