Deloitte vs Quantiphi: full comparison for 2026
Quick verdict
Deloitte (4.2/5) edges ahead of Quantiphi (4.0/5) overall. Deloitte is the better choice for regulated enterprises needing AI governance with the strategy. Quantiphi is the stronger option for companies committed to Google Cloud or AWS. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
Deloitte vs Quantiphi: head-to-head summary
| Criterion | Deloitte | Quantiphi |
|---|---|---|
| Founded | 1845 | 2013 |
| HQ | London, UK | Marlborough, USA |
| Team size | 460,000+ | 4,000 |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | AI strategy backed by risk, audit, and regulatory teams under one roof | Use-case discovery from a top-tier Google Cloud and AWS engineering partner |
| Pricing model | Project and program fees; rates not published | Project and dedicated-team pricing; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, NIST AI RMF, GDPR | Google Cloud, AWS, NVIDIA |
| Industries served | Banking, Insurance, Healthcare, Government & public sector, Energy, Consumer | Healthcare, Financial services, Insurance, Media, Public sector, Retail |
Deloitte vs Quantiphi: overview
Deloitte
Deloitte traces its roots to London in 1845 and today employs more than 460,000 people across its member firms. Its AI strategy work runs through the consulting arm, often next to risk and regulatory teams, which is why it turns up most often in banking, insurance, health, and government programs. A company that has to show regulators how every AI system is governed will find that combination hard to match. Pace and price are the trade-off. Engagements are big, staffed with large teams, and priced accordingly.
Quantiphi
Quantiphi was founded in 2013, is headquartered in Marlborough, Massachusetts, and has around 4,000 employees. It holds top partner tiers with Google Cloud, AWS, and NVIDIA, according to its own materials, and ISG named it a Leader for AI and machine learning services on Google Cloud in its 2024 Provider Lens report. Its strategy offer is mostly a front end to engineering: use-case discovery and roadmaps that lead into builds on those platforms. It makes most sense when the platform decision is already made.
Services and capabilities: Deloitte vs Quantiphi
| Capability | Deloitte | Quantiphi |
|---|---|---|
| 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: Deloitte vs Quantiphi
| Framework / platform | Deloitte | Quantiphi |
|---|---|---|
| EU AI Act | ✓ | N/A |
| GDPR | ✓ | N/A |
| NIST AI RMF | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | N/A |
| Snowflake | N/A | ✓ |
Pricing comparison: Deloitte vs Quantiphi
| Criterion | Deloitte | Quantiphi |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Strategy & roadmap engagement, Readiness assessment, Delivery team, Ongoing advisory | Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Deloitte vs Quantiphi
| Dimension | Deloitte | Quantiphi |
|---|---|---|
| Best company size | Enterprise | Mid-market to enterprise |
| Best industries | Banking, Insurance, Healthcare | Healthcare, Financial services, Insurance |
| Best use cases | Building an AI governance framework that a regulator and audit committee will accept., Readiness assessments across a multinational bank or insurer. | AI roadmaps for companies already standardized on Google Cloud., Document and speech AI for healthcare and insurance. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
Deloitte vs Quantiphi: pros and cons
| Deloitte | |
|---|---|
| + | Risk and regulatory specialists work alongside the strategy team, which suits banks, insurers, and health systems |
| + | Can staff programs in dozens of countries at once |
| + | Change management and workforce programs are long-established practices inside the firm |
| + | Years of work with regulators and audit committees make its governance advice easier to defend |
| - | Large teams and long timelines make it slow for a single use case |
| - | Fees are among the highest of the firms reviewed here |
| - | Auditor-independence rules limit what Deloitte may sell to its own audit clients, so check eligibility early |
| Quantiphi | |
|---|---|
| + | Deep Google Cloud expertise, confirmed by ISG's 2024 Provider Lens report |
| + | Moves from discovery to build without changing vendors |
| + | Large engineering bench for document, speech, and vision projects |
| + | Experience with healthcare and public-sector data |
| - | Advice is shaped by its platform partnerships |
| - | Little board-level or organizational change work |
| - | Partner-tier claims come from its own recruiting material, with ISG's report as the independent check |
Who should choose Deloitte?
A typical fit: building an AI governance framework that a regulator and audit committee will accept.
AI strategy backed by risk, audit, and regulatory teams under one roof. Minimum engagement is not publicly disclosed. Works best with clients in Banking, Insurance, Healthcare, Government & public sector, Energy, Consumer.
Who should choose Quantiphi?
A typical fit: AI roadmaps for companies already standardized on Google Cloud.
Use-case discovery from a top-tier Google Cloud and AWS engineering partner. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Insurance, Media, Public sector, Retail.
Decision matrix: Deloitte vs Quantiphi
| 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 | Deloitte |
| AI will change roles and processes for many staff | Deloitte |
| You want the strategy firm to build the result too | Both can deliver after the strategy |
| Your budget is at the lower end | Compare: Deloitte (Not disclosed) vs Quantiphi (Not disclosed) |
| You need a large team across many countries | Deloitte |
Use case fit: Deloitte vs Quantiphi
| Use case | Deloitte fit | Quantiphi fit | Winner |
|---|---|---|---|
| Building an AI governance framework that a regulator and audit committee will accept. | Strong | Limited | Deloitte |
| Readiness assessments across a multinational bank or insurer. | Strong | Limited | Deloitte |
| AI roadmaps for companies already standardized on Google Cloud. | Limited | Strong | Quantiphi |
| Document and speech AI for healthcare and insurance. | Limited | Strong | Quantiphi |
Verdict: Deloitte vs Quantiphi
Deloitte (4.2/5) is the stronger overall choice for most AI Strategy Consulting projects. AI strategy backed by risk, audit, and regulatory teams under one roof.
Quantiphi (4.0/5) is worth a look if you need document and speech AI for healthcare and insurance. If your situation matches that, Quantiphi is a competitive option.
Related comparisons
Deloitte vs Quantiphi FAQ
Is Deloitte better than Quantiphi?
Deloitte (4.2/5) scores higher overall, but "better" depends on your use case. Deloitte's strongest advantage: risk and regulatory specialists work alongside the strategy team, which suits banks, insurers, and health systems. Quantiphi's strongest advantage: deep Google Cloud expertise, confirmed by ISG's 2024 Provider Lens report.
How do Deloitte and Quantiphi differ in pricing?
Deloitte's pricing: project and program fees; rates not published. Quantiphi's pricing: project and dedicated-team pricing; 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: Deloitte or Quantiphi?
Deloitte 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 Deloitte and Quantiphi?
Deloitte's primary differentiator is: AI strategy backed by risk, audit, and regulatory teams under one roof. Quantiphi's primary differentiator is: use-case discovery from a top-tier Google Cloud and AWS engineering partner. They also differ in team size (460,000+ vs 4,000), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Banking, Insurance vs Healthcare, Financial services).
Verify all details directly with each consultant before making a decision.