One Governed AI Fabric
Across the Entire Enterprise.
DataGrout replaces fragmented, department-specific AI scripts with a unified, governed infrastructure layer — connecting legacy systems, enforcing enterprise policy, controlling costs, and giving you the visibility and audit trail your board requires.
The Enterprise AI Governance Gap
Most AI initiatives stall not because of model quality — but because there's no safe, governed, observable path between agents and the systems they need to act on.
Digital transformation stalls at the integration layer
Business units are ready to adopt AI-powered workflows, but the path to production is blocked by fragmented integrations, no shared standards, and IT teams stretched thin maintaining one-off API connections.
No enterprise-wide view of AI spend or activity
LLM costs and agent behaviors are distributed across teams and tools with no unified visibility. You can't answer 'what are we spending on AI?' or 'what are our agents doing?' at the org level.
Security and compliance teams can't approve what they can't audit
Without cryptographic audit trails, policy enforcement at the infrastructure layer, and governed access to production systems, there's no safe path to put agents in front of your most important enterprise systems.
Legacy and on-prem systems are stranded
SAP, Oracle, and private databases can't be integrated without opening firewall ports. Your most important enterprise data is unreachable to the AI initiatives that need it most.
What DataGrout Gives You at the Enterprise Level
One Integration Fabric for the Entire Organization
Replace fragmented, department-specific API connections with a single governed integration layer that every team and system shares — reducing duplication, standardizing governance, and compounding institutional knowledge across the enterprise.
- Multiplexer aggregates all integration sources behind one governed endpoint
- New business units onboard to existing integrations without rebuilding auth
- Integration knowledge accumulates in a shared catalog, not isolated teams
Governed AI That Security Can Approve
DataGrout's security architecture gives you a complete governance story: mTLS identity, policy cascade, PII redaction, Warden prompt injection defense, outbound-only private connectors for on-prem, and cryptographic audit trails on every agent action.
- Per-connector scopes, allowlists, and instant revocation
- Private Connectors: reach SAP, Oracle, and air-gapped systems with zero inbound firewall rules
- Full audit trail: who called what tool, when, under which policy, with CTC receipts for every workflow
Enterprise AI Spend Visibility & Control
Credit-based economics give you a unified view of AI spend across every team and agent — with caps, alerts, and loop detection that prevent runaway costs before they hit the invoice.
- Per-team and per-project credit budgets enforced at call time
- BYOK eliminates LLM markup — pay your model provider directly
- Pre-flight cost estimates before every workflow runs; receipts after
Bridge Legacy and On-Prem Into Your AI Strategy
Private Connectors let your AI agents access on-prem ERP, legacy databases, and air-gapped systems through an outbound-only VPN tunnel — no firewall rule changes, no exposed ports, no compromises.
- Outbound-only VPN: connector appliance sits inside your network, zero inbound exposure
- On-prem and cloud integrations appear side-by-side with identical governance
- Stranded enterprise data becomes first-class tool surfaces for your AI agents
Org-Wide Business Rules Enforced at the Infrastructure Layer
logic.constrain lets you define enterprise-wide governance rules once — 'no agent may write to production without approval,' 'budget per project capped at $50k' — that propagate automatically to every workflow across the organization.
- Define a constraint once; flow.into checks it before executing every matching workflow step
- Rules persist across sessions — agents can't forget what was never in a prompt
- Auditable as infrastructure-enforced policy, not instructional text that models can drift from
Replace Shadow AI with an Observable Runtime
Shadow LLM scripts proliferating across business units have no shared standards, no governance, and no visibility. DataGrout gives you a real, observable agent runtime your whole organization shares.
- Single runtime for all teams — new agents build on shared tools, not isolated scripts
- Full execution logs: who ran what, against which system, at what cost
- Kill switch for any tool, connector, or agent — without touching application code
What the Board Needs to Hear
Governance You Can Present to the Board
- mTLS identity, policy cascade, PII redaction, and CTCs across every call
- Warden's 3-tier prompt injection defense on every untrusted input
- Outbound-only private connectors for on-prem — zero inbound firewall rules
- Full audit trail for every agent action, always
Model-Agnostic by Design
- Infrastructure layer decoupled from LLM provider
- Switch models without migrating integration logic
- BYOK eliminates LLM markup — pay your model provider directly
- Vendor lock-in risk eliminated at the architecture level
Compounding Org-Wide Value
- Integration work accumulates in a shared catalog — not lost when people leave
- New teams reuse existing connectors — no rebuild per project
- Symbolic reflexes handle routine agent checks at near-zero token cost
- Observable runtime with kill switches and instant revocation
The Infrastructure Decision That Compounds.
One platform layer for every team, every agent, every integration — with the governance posture and audit trail your enterprise requires.