65%
automation rate on contact centre workflows
NOS
80%
reduction in document processing costs
Sonae Sierra
6–12
weeks from kickoff to production deployment
GenOS delivery model
Why GenOS
What makes GenOS different from Claude
01
GenOS wraps Claude and routes beyond it
GenOS is model-agnostic by design. It uses Claude for reasoning-heavy tasks, GPT-4o where it performs better, and open-source models for structured extraction. Every task gets the right model. Not every task gets the same one.
02
Workflows run themselves. Conversations do not.
Claude processes one conversation at a time, initiated by a person. GenOS runs deterministic pipelines that process hundreds of transactions in parallel: invoices classified, cases routed, orders validated, without a human triggering each one.
03
A named engineer. Not documentation.
Claude.ai Enterprise comes with documentation and model updates. GenOS comes with a Forward Deployed Engineer who scopes your workflows, builds the integrations, and owns the quality of the system from go-live. That engineer is accountable for improving it.
Why switch to GenOS
Teams choose GenOS over Claude when
- You need to automate a workflow. AI should run the process.
- Your AI needs to retrieve from and act on enterprise systems: ERP, CRM, SharePoint, custom databases
- Governance is a hard requirement: RBAC at the agent level, full audit trail, policy guardrails
- You are processing document volumes at scale: invoices, contracts, customer queries, without a human per transaction
- You need a named Forward Deployed Engineer who builds, configures, and improves the system
- Your workforce is operational. They will not configure anything themselves.
Feature by feature
| GenOS | Claude | |
|---|---|---|
| Day-1 assistant quality | Strong: inherits from Claude, GPT-4o, and other frontier models depending on task | Best-in-class: Claude is among the most capable models for reasoning and document understanding |
| Workflow automation | Deterministic pipelines that process volume 24/7 without a human per transaction | No pipeline capability. Each interaction is manually initiated by the user in chat. |
| Knowledge governance | Access-controlled RAG: agents retrieve only what they are permitted, with audit trail of every retrieval | Project-scoped knowledge in Claude.ai; no retrieval audit trail or per-agent access control |
| System integration | Direct integration with SAP, Salesforce, ERP, custom APIs, and any downstream system | File uploads and Claude.ai connectors for basic tasks; no enterprise system integration |
| Governance and audit trail | Granular RBAC, full logs per model call, decision, and action with reasoning context | Admin console with usage stats; no workflow-level or agent-level audit trail |
| Deployment partnership | Named Forward Deployed Engineer scopes, builds, deploys, and improves the system | Self-serve SaaS: Anthropic provides documentation and model updates, not a deployment engineer |
| Post-go-live improvement | FDE-led improvement loop: usage analysis, knowledge audits, model routing refinement, quality evaluation | Anthropic ships model updates. No one at Anthropic is tuning the system for your workflows. |
| Multi-LLM flexibility | Routes across Claude, GPT-4o, Gemini, and open-source models: best model per task | Claude only: model choice is locked to Anthropic's own model family |
| European data residency | BYOC and on-premise options: data never leaves the customer's cloud perimeter | Anthropic-managed cloud; BYOC not available for Claude.ai Enterprise |
| Speed to first value | 6–12 weeks to production with full integration | Minutes to set up: productive on day one for ad hoc tasks |
Frequently asked
Is GenOS a replacement for Claude?
No. GenOS uses Claude, and routes to GPT-4o, Gemini, and open-source models when they fit a task better. Claude is a world-class model; GenOS is the operating layer that puts it to work inside governed, integrated production workflows.
Why use GenOS instead of Claude.ai Enterprise directly?
Claude.ai Enterprise gives knowledge workers a great assistant. GenOS adds enterprise system integration, access-controlled retrieval with an audit trail, deterministic pipelines, and a named engineer who owns the deployment after go-live.
Does GenOS support data residency for European enterprises?
Yes. GenOS offers BYOC and on-premise deployment, so data never leaves your cloud perimeter. Claude.ai Enterprise runs on Anthropic-managed cloud, where BYOC is not available.
Bottom line
GenOS is powered by Claude and routes to GPT-4o, Gemini, and open models when they fit the task better. Claude.ai Enterprise gives knowledge workers a great assistant. GenOS puts that intelligence inside governed, integrated production workflows, with an engineer accountable for the outcome. One is a model. The other is an operating system.
See in practice
Next step
Book a working session. We run it in your environment, on your data.