The execution layer enterprise AI has been missing.
Now your AI reaches production — on the first try.
AI Agentic Layer
Governed Execution & Orchestration
Enterprise Systems of Record
Your AI works in the demo. Then it dies in production.
95
%
of enterprise GenAI pilots deliver zero measurable P&L impact — only 5% extract real value.
50
%
of AI proof-of-concepts are expected to be abandoned before reaching production.
26
%
of companies generate meaningful value from AI — the rest stay stuck in experiments.
The cause isn't model quality — frontier models are extraordinary. It's that probabilistic AI is being bolted straight onto deterministic systems of record that demand auditability, control, and compliance. The two don't speak the same language. The models work — the execution doesn't.
Probabilistic AI can't be trusted to execute on its own.
Stuck in perpetual experimentation
↓
The Gap
where AI payoff lives, and dies
↓
DETERMINISTIC
Demands deterministic certainty
Agents propose decisions and actions — but those proposals aren't separated from execution, and there's no governed layer between them and the systems of record. That missing layer is why 95% of pilots never reach production.
We built the missing layer 20 years before the world needed it.
For years it was recognized as best-in-class adaptive business process orchestration and enterprise low-code. Today, that same vendor-neutral composable architecture is the layer agentic AI cannot work without.
Nvidia built GPUs to compute differently. The world bought them for gaming for over two decades — until AI training revealed they were the must-have substrate all along.
AgilePoint built a composable execution engine. The world bought it for adaptive process automation for two decades — until agentic AI revealed it's the must-have layer for deterministic, governed execution. That inflection is here — and the architecture was ready for it.
Bridging probabilistic AI to deterministic certainty.
1,200+ pre-built activities
Rapid assembly of AI-powered workflows across 120+ enterprise & AI systems — no custom code, no lock-in.
AI Control Tower
Policy · risk · authority · compliance validated before execution — architected into the layer, not bolted onto each model.
30+ Dynamic Process Patterns
Design-time and runtime pivots vs. fewer than 10 for traditional BPM, RPA, iPaaS & low-code.
70–85
%
fewer hallucinations via unified context & ontology
Up to 5
%
lower CapEx/OpEx vs. leading AI platforms
up to 80
%
reduction in enterprise AI failure rate
One layer between intelligence and execution.
AI Agentic Layer
Governed Execution & Orchestration
Enterprise Systems of Record
You don't rebuild for AI. You generate the foundation.
From assets you already have
Process diagrams (image, PDF, BPMN), forms, and prompts become native composable processes, forms, data entities, and AI Control Tower.
Grow without the sprawl
The Composable Extension SDK turns any new asset — pro-dev, homegrown, even vibe-coded — into one governed activity. Referenced, not duplicated.
Compounding value
Every artifact joins the Enterprise Capability Library — reused across applications, with AI token cost amortized, not multiplied.
1200+
composable activities out of the box
120+
enterprise systems harmonized natively
30+
Dynamic Process Patterns
Deliver AI to production — on the first try.
A global tools manufacturer shipped instead of experimenting.
Front-line sales enablement, live in the first 60 days.
The thesis, proven: different problems, different corners of the business — same outcome. With the composable foundation already in place, governed AI reaches production the first time, by reusing digital-transformation investments rather than rebuilding.
Two decades of mission-critical scale.
Customers who bet early — and stayed
A global bank replaced incumbent BPM and re-stipulated AgilePoint as the platform for its next-gen digital operating system. A defense leader cut a purchase-order cycle from 28 days to 4.5 hours and accelerated growth with rapid M&A integration. 5M+ end-to-end processes run per year — now future-proofed for agentic AI.
Hundreds of use cases created by enterprises
AI-ready composable foundation: end-to-end harmonized data, context, and workflows
“For processes where the sequence of work is not well understood or that must change dynamically based on the context of the transaction in real time… AgilePoint enables processes that can be dynamically changed in real time.”
Everyone else makes you choose a tradeoff.
The Palantir contrast. Palantir builds an ontology to deliver one brilliant point solution to one complex problem — services-led, per engagement. AgilePoint prepares the foundation — harmonizing data, context, and workflows — so your enterprise can self-serve and spin up many "mini-Palantirs" across the business. Palantir delivers outcomes; AgilePoint gives you the capability to produce them — then scale it as sovereign enterprise AI.
Build the foundation now. Scale to the autonomous business.
And it's a path, not a point. Digital Transformation+ today, agentic enterprise next, autonomous business after. You don't rebuild at each stage. You compound.
Digital Transformation+
Adaptive structured & unstructured workflows on an AI-ready, harmonized foundation.
Agentic Enterprise
Operationalize multi-vendor agents with governed orchestration and closed-loop optimization.
Autonomous Business
Self-healing operations where predictable success compounds into scale.
The thinking behind the missing layer.
A Four-Phase Approach for Governing Enterprise AI
Why composable architecture is required for agentic operations.
Read the paper →
Agentic Execution Architecture
A governance architecture that preserves control without compromising adaptability.
Read the paper →
An Executive's Guide to Operationalizing AI
Turning AI in business processes into productivity and durable competitive advantage.
Read the guide →
The Total Economic Impact™ of AgilePoint
Independent analysis of the cost savings and buisness benefits AgilePoint delivers.
Read the study →
Stop experimenting. Start executing.