Plug every model. Govern every agent. Composed by the business.
AI lives in the AI stack. The business lives in the operating model.
Where AI specialists build.
Probabilistic, evolving, volatile by design. Vendor-specific. Built on fragmented operational context — one ontology per system, none shared. The business stays on the outside.
Where the business actually works.
End-to-end processes spanning SAP, Oracle, Salesforce, ServiceNow, Workday, SharePoint, and dozens more. Siloed. Hardwired. Invisible to the AI stack above it.
This disconnection is now the single biggest reason 95% of enterprise AI pilots show no measurable return. AI cannot reason across what your architecture cannot connect.
One harmonized substrate. Across 120+ enterprise systems.
Abstracted & harmonized data, context, workflows
SEMANTICS
Drag-and-drop visual interface
NO-CODE
AI Control Tower — structural governance
AUDITABLE
Plug-and-play public, private & multi-vendor AI
Democratized agentic AI for the business
ORCHESTRATION
Hot-swappable AI. Stable applications.
Public foundation models — OpenAI, Anthropic, Google, others
PLUG-IN
Private & open-weight models — Llama, Mistral, custom
SOVEREIGN
Multi-vendor agents and orchestrators
FEDERATED
Private enterprise agents — internally trained
CONTAINED
Vendor-neutral structural governance. Plug every model. Govern every agent.
Drag-and-drop authoring
Business owners compose agents · workflows · forms · data entities
Vendor-neutral · structural governance
Policy · Risk · Authority — evaluated before execution
Public foundation models
OpenAI · Anthropic
Google · others
Private & open-weight models
Llama · Mistral
custom · on-prem
Multi-vendor agents
Third-party agents and orchestrators
Private enterprise agents
Internally trained private deployment
Harmonized data, context, workflows
One operational ontology · end-to-end context
Your existing platforms — revitalized.
SAP · Oracle · Salesforce · ServiceNow · Workday · SharePoint · 110+ more
Vendor-neutral
Swap models and agents without touching applications.
Structural
Governance lives in the architecture, not bolted on per project.
Plug-and-play
Every AI category — public, private, multi-vendor, internal.
Policy-bound
Risk, authority, audit evaluated before any AI acts.
The business composes. The architecture governs.
Most enterprise AI today asks the wrong person to do the work. AI specialists own the stack, the integrations, the prompts, the agents — while the business owners who actually understand the operational stakes wait outside.
Democratization is structural, not procedural. When the architecture itself exposes composable building blocks at a business level, the right people compose. The architecture absorbs the AI complexity. The business absorbs the agency.
Intake Form
Claim Entity
Validation Flow
Fraud Agent
Routing Policy
Resolution Step
From siloed experiments to end-to-end orchestration.
Siloed AI experiments.
Stranded pilots. Specialist-driven. Built on fragmented context. Each problem solved separately, expensively.
Business-led end-to-end orchestration.
Business owners author governed agents directly. End-to-end operational context as AI's grounding substrate. Multi-vendor AI plugged into one structural governance layer.
Up to an 80% reduction in enterprise AI failure rate when AgilePoint's composable architecture sits between probabilistic AI and the systems of record it acts on.
Source: AgilePoint customer benchmark · agentic deployments measured against the MIT NANDA 95% baseline. Individual results vary.
Simplicity is the ultimate sophistication.
Stop bolting AI onto a foundation that can't carry it. Put the vendor-neutral architecture above your platforms — and let the business compose.