Comparison
The vendor table. Honestly compared.
By 2026 every major vendor has a cross-system story. The differences aren't reach. They're how the governance works, how the LLM is bound, how much vendor stack you have to buy alongside, and how the math comes out.
| Feature | AIGIS governed.dev | Agentforce Salesforce | Now Assist ServiceNow | Joule SAP | Copilot Microsoft |
|---|---|---|---|---|---|
| Cross-system queries natively | via MuleSoft | via Control Tower | via Joule Studio | via 100+ connectors | |
| Without buying a separate integration platform | Partial | ||||
| Model-agnostic LLM (swap freely) | |||||
| Field stripping (architectural, not masking) | |||||
| Permission re-check at write time | Partial | ||||
| Human-in-the-loop writes | Limited | ||||
| Per-query permission provenance | Audit only | ||||
| Vendor lock-in | None | High | High | High | High |
| Deployment model (data residency) | Your cloud | Vendor cloud | Vendor cloud | Vendor cloud | Vendor cloud |
| Cost / 50K users (annual, est. 2026) | $600K-$1.5M | $75-90M | $30-60M | $2-20M | $18M |
Honest read: Agentforce 2.0, Joule Studio, AI Control Tower, and Copilot Connectors all have legitimate cross-system stories in 2026. Where AIGIS still wins: model flexibility, architectural data stripping, write-time permission re-verification, per-query provenance, and consolidation pricing. Where the vendors win: if you only run one of their core systems, their native AI is tightly integrated by design.
Cost numbers are 2026 estimates from public pricing. Agentforce Employee Add-On at $125-150/user/mo. Now Assist Pro/Enterprise uplift at $50-100/fulfiller/mo plus token-pool overage. Joule Premium priced via SAP AI Units (NDA only). Microsoft 365 Copilot Enterprise at $30/user/mo. Multi-vendor stacks compound when enterprises run two or more of these in parallel.
The defensible moat
Most AI masks. AIGIS strips.
Masking protects the value of a field. Stripping protects the existence of the field. The difference is architectural, and it shows up the moment a model is asked to reason about your data.
Industry default
Masking
What the LLM sees:
- Account.NameAcme Corp
- Account.AnnualRevenue[MASKED]
- Contact.SSN__c[MASKED]
- Account.OwnerJ. Smith
The model still knows SSN__c and AnnualRevenue exist. It can reason about their position, infer relationships, and leak structural metadata in its response.
AIGIS approach
Stripping
What the LLM sees:
- Account.NameAcme Corp
- Account.OwnerJ. Smith
- fields the user cannot access are architecturally absent
The model has no way to know SSN__c exists. No metadata leakage. No structural inference. The data is architecturally absent before the prompt is constructed.
For the technically curious: Salesforce Agentforce honors object and field-level security at query time. AIGIS adds a second layer that removes fields from the prompt context before the LLM ever sees them, so model output cannot leak structural metadata. Both approaches enforce permissions. Only one enforces them on the model itself.
The math
The real enterprise stack costs $50M to $200M /yr.
Most enterprises don't run one AI vendor. They run several. Here's the public 2026 pricing for the typical multi-vendor stack at 50,000 users.
Sources: Salesforce, ServiceNow, and Microsoft public 2026 pricing. SAP Joule and Now Assist pricing under NDA, ranges based on published industry estimates. Agentforce Flex Credits at $0.10 per action are an alternative model with similar order-of-magnitude cost at scale.