Deloitte vs Miquido: full comparison for 2026
Quick verdict
Deloitte (4.1/5) edges ahead of Miquido (3.9/5) overall. Deloitte is the better choice for regulated enterprises needing audit-grade controls. Miquido is the stronger option for consumer apps adding AI features. The right choice depends on your project size, budget, and required tech stack.
Deloitte vs Miquido: head-to-head summary
| Criterion | Deloitte | Miquido |
|---|---|---|
| Founded | 1845 | 2011 |
| HQ | London, UK | Kraków, Poland |
| Team size | 470,000+ | 180+ |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Risk, audit, and regulatory teams working next to the integrators | Product design and mobile skills around the AI work |
| Pricing model | Program-based fixed fee and time & materials; rates on request | Fixed-scope projects and time & materials; $50–$99/hr (GoodFirms band) |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | SAP, Salesforce, Microsoft Dynamics 365 | n8n, Azure OpenAI, Google Cloud |
| Industries served | Financial services, Public sector, Healthcare, Energy, Insurance | Financial services, Healthcare, Retail & e-commerce, Media |
Deloitte vs Miquido: overview
Deloitte
Deloitte is the largest of the Big Four by revenue, founded in 1845 in London, with over 470,000 people and $70.5 billion in FY2025 revenue. It has committed more than $3 billion to generative AI through FY2030 and launched Zora AI, its agentic product line built with NVIDIA, plus a global network of agent products built on partner platforms. For integration buyers, its value lies in regulated industries where audit, risk, and controls work happens next to the technology. It's rarely the cheapest or fastest route to a single working workflow.
Miquido
Miquido is a Kraków software and product studio founded in 2011, with roughly 190–300 staff depending on the source. It started in mobile and product design and now offers generative AI, machine learning, voice assistants, and chatbots, plus an internal AI and automation team building workflows on n8n. Its strength is AI features that need a polished user interface around them. GoodFirms lists a $50–$99 hourly band.
Services and capabilities: Deloitte vs Miquido
| Capability | Deloitte | Miquido |
|---|---|---|
| CRM / ERP integration | ✓ | ✗ |
| LLM API gateway & cost control | ✗ | ✓ |
| Document processing | ✗ | ✗ |
| Conversational AI | ✗ | ✓ |
| Agentic workflows | ✓ | ✗ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✓ | ✗ |
Tech stack comparison: Deloitte vs Miquido
| Framework / platform | Deloitte | Miquido |
|---|---|---|
| Salesforce | ✓ | N/A |
| SAP | ✓ | N/A |
| Microsoft Dynamics 365 | ✓ | N/A |
| HubSpot | N/A | N/A |
| Snowflake | N/A | N/A |
| Databricks | N/A | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | N/A |
| Zendesk | N/A | N/A |
Pricing comparison: Deloitte vs Miquido
| Criterion | Deloitte | Miquido |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Managed services | Fixed-scope project, Time & materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Deloitte vs Miquido
| Dimension | Deloitte | Miquido |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial services, Public sector, Healthcare | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Agent rollouts in SAP finance with controls testing, AI programs that need regulator-facing documentation | Voice and chat assistants in banking apps, Workflow automations built on n8n |
| Typical project type | Fixed-scope project | Fixed-scope project |
Deloitte vs Miquido: pros and cons
| Deloitte | |
|---|---|
| + | Can combine AI integration with internal-audit and regulatory review. |
| + | Partner relationships across SAP, Salesforce, Microsoft, ServiceNow, and the hyperscalers. |
| + | Global staffing for multi-country rollouts. |
| + | Zora AI gives clients prebuilt agent patterns for finance and operations. |
| - | Big Four pricing and staffing pyramids make a 2–4 week pilot expensive |
| - | Independence rules restrict some work for Deloitte audit clients |
| - | Reported job cuts at member firms in 2025 add uncertainty about team continuity |
| Miquido | |
|---|---|
| + | Design and mobile teams make AI features usable for consumers. |
| + | n8n automation work suits lightweight process automation. |
| + | Mid-band European rates. |
| - | Enterprise system integration (ERP, data warehouses) isn't its strength |
| - | No Clutch pricing data found |
| - | Headcount figures vary from about 190 to 500 |
Who should choose Deloitte?
A typical fit: agent rollouts in SAP finance with controls testing.
Risk, audit, and regulatory teams working next to the integrators. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Public sector, Healthcare, Energy, Insurance.
Who should choose Miquido?
A typical fit: voice and chat assistants in banking apps.
Product design and mobile skills around the AI work. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media.
Decision matrix: Deloitte vs Miquido
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Deloitte |
| Your budget is at the lower end | Compare: Deloitte (Not disclosed) vs Miquido (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Deloitte |
| You need multi-step agents acting across systems | Deloitte |
| You need a large team for a multi-year program | Deloitte |
Use case fit: Deloitte vs Miquido
| Use case | Deloitte fit | Miquido fit | Winner |
|---|---|---|---|
| Agent rollouts in SAP finance with controls testing | Strong | Limited | Deloitte |
| AI programs that need regulator-facing documentation | Strong | Limited | Deloitte |
| Voice and chat assistants in banking apps | Limited | Strong | Miquido |
| Workflow automations built on n8n | Limited | Strong | Miquido |
Verdict: Deloitte vs Miquido
Deloitte (4.1/5) is the stronger overall choice for most AI Integration Services projects. Risk, audit, and regulatory teams working next to the integrators.
Miquido (3.9/5) is worth a look if you need workflow automations built on n8n. If your situation matches that, Miquido is a competitive option.
Related comparisons
Deloitte vs Miquido FAQ
Is Deloitte better than Miquido?
Deloitte (4.1/5) scores higher overall, but "better" depends on your use case. Deloitte's strongest advantage: can combine AI integration with internal-audit and regulatory review. Miquido's strongest advantage: design and mobile teams make AI features usable for consumers.
How do Deloitte and Miquido differ in pricing?
Deloitte's pricing: program-based fixed fee and time & materials; rates on request. Miquido's pricing: fixed-scope projects and time & materials; $50–$99/hr (GoodFirms band). 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 Miquido?
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 provider before shortlisting.
What are the main differences between Deloitte and Miquido?
Deloitte's primary differentiator is: risk, audit, and regulatory teams working next to the integrators. Miquido's primary differentiator is: product design and mobile skills around the AI work. They also differ in team size (470,000+ vs 180+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Public sector vs Financial services, Healthcare).
Verify all details directly with each provider before making a decision.