# HomoDeus vs Accenture for enterprise AI

_Accenture is a global systems integrator built for scale. HomoDeus is a small AI lab that embeds in one operation. A direct comparison of team model, timeline and risk, with named client results._

## The short answer

Accenture is a systems integrator with the headcount to run a multi-year programme across every region a company operates in. HomoDeus is a small team that embeds in one operation and ships one system at a time. The difference that matters to a buyer is the shape of the team: a staffed pyramid versus the engineers who wrote the code sitting inside the client process.

## Side by side

| | Accenture | HomoDeus |
|---|---|---|
| Team model | Staffed pyramid, partner over managers over analysts | Small senior team, the builders are the ones in the room |
| Best fit | Multi-year, multi-region programmes and large migrations | One high-leverage process, rebuilt end to end |
| Time to something running | Programme phases | First production agent in weeks |
| Technology position | Partner-aligned across a large vendor ecosystem | Model and vendor agnostic, chosen per problem |
| Commercial risk | Time and materials or fixed programme fee | Money-back guarantee on the agreed target |
| Scale ceiling | Effectively none | Limited by deliberate team size |

## When to pick them

Accenture is the better call when the work is genuinely industrial in scale. A core banking migration, a global ERP rollout, an outsourcing arrangement covering thousands of seats, or anything that has to run simultaneously in twenty countries. That is a staffing problem before it is an engineering problem, and it is what a large integrator exists to solve.

## When to pick HomoDeus

HomoDeus is the better call when the value is concentrated in one workflow and the constraint is depth rather than headcount. Bolton Global Capital had a compliance and onboarding bottleneck, not a transformation programme, and the fix was one pipeline that took onboarding from 3 hours to 2 minutes. Positivo Tecnologia had a legal department that could not clear its backlog, and the fix was five agents on an internal legal ontology, after which 50 people became 6 with more throughput.

## Questions buyers ask

### Why choose a small AI lab over a large systems integrator?

Because on a single high-leverage process the binding constraint is depth, not headcount. A large integrator is organised to staff a programme; a small lab is organised to understand one operation completely. When the problem is one workflow where money or risk leaks, the second shape ships faster and the people who wrote the code are the people the client talks to.

### Can a small team deliver enterprise-grade AI?

The published impact studies are the evidence. A $16B AUM US broker-dealer, a publicly traded Brazilian technology manufacturer, and the largest mobility operations company in Portugal all run HomoDeus systems in production. Enterprise-grade is a property of the engineering, the data boundary and the audit trail, not of the size of the team that built it.

### What happens after HomoDeus delivers the system?

The client owns it. HomoDeus builds for handover, with the operating documentation and the exception paths the client team needs to run it. 83% of clients return for a second engagement, which is the honest signal about whether the first one held up.

## Related

- HomoDeus vs McKinsey for enterprise AI: https://www.homodeus.me/vs/mckinsey.md
- HomoDeus vs Palantir: https://www.homodeus.me/vs/palantir.md
- Full impact studies: https://www.homodeus.me/work