.webp)
.webp)
Adaptive Process Orchestration for Enterprise Intelligence
.avif)
Orchestrates multi-vendor,
multi-agent workflows with no-code.
Works across your existing automation platforms.
.avif)
Harmonizes over 120 enterprise systems-data and business logic.
.svg)
The challenge isn't enabling AI.
It's governing it.
.avif)
Trigger & Automate
%20(1).avif)
.avif)
Capture Context
.avif)
.avif)
Learn, Adapt, Govern
.avif)
.avif)
Connect & Orchestrate
.png)
.png)
.avif)
.avif)
.avif)
.png)
85+
1200+
120+
1000+
Expert Insights for Enterprise AI Success
.avif)
.avif)
.avif)
The Total Economic Impact™ of AgilePoint
Architecting for Adaptability
.png)
An Executives Guide to Operationalizing AI
%201%20(1).png)
Gartner Top 10 Strategic Technology Trends for 2025: Agentic AI
.png)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
Accelerated operational integration of a $120 billion merger through rapid creation of 100+ composite complex end-to-end business orchestrations in 12 months.
.avif)
With AgilePoint, regulatory compliance went from being costly to a competitive advantage.
AgilePoint dramatically cuts IT automation efforts by up to 92%.
AgilePoint complex process automation saves more than 1.7 million hours of time, which is equal to over 800 FTEs.
AgilePoint is highly adaptable and that is the strength of AgilePoint as “every project is different and has different requirements."
AgilePoint delivers 416% ROI, $26.42M Net present value with payback of less than 6 months.
AgilePoint prevented more than 800 errors in complex, business-critical workflows, saving $12.7 million in costs for regulatory fines and rework.
Visibility is crucial in a big organization, especially for processes that require a fast SLA (service-level agreement).
The strength of AgilePoint is that you can adapt fast. You give it to the business, and then they want more. They trust us to ask for more.
AgilePoint was very open to customization or adaptation... [offered] a reusable, service- level implementation so that we could create components that we could reuse in other processes.
Frequently Asked Questions
We've deployed some AI tools but nothing is connected. Where do we start?
Most enterprises start exactly there; isolated AI investments that can't compound because there's no orchestration layer connecting them. AgilePoint's vendor-neutral composable architecture provides the foundational adaptability to unify your existing systems, business logic, and AI models through a single agentic orchestration layer, so every new use case builds on the last instead of starting from scratch.
Why do so many enterprise AI projects fail to reach production?
The failure rate isn't about the AI models; it's about the missing orchestration layer. When AI decisions can't connect to real workflows, real data, and real governance guardrails, they stall before they create value. AgilePoint provides the agentic orchestration layer that takes AI from prototype to production, with a proven maturity model that achieves over 90% deployment success versus the 20-30% industry average.
How do we make AI decisions trustworthy enough to act on in enterprise operations?
Hallucinations happen when AI operates without proprietary operational context. AgilePoint grounds every agent decision in your actual business data, across 120+ systems, through a unified context and harmonization layer. This reduces hallucination risk by 70-85% and enables context-driven decisions your operations can rely on. Every proposed agent action passes through policy validation. Watcher mechanisms enforce compliance rules, threshold limits, and business logic before any execution occurs. AI can suggest; it cannot act until validation conditions are satisfied.
We've already invested in our current AI stack. Do we have to choose?
No. AgilePoint's vendor-neutral architecture is built specifically so you don't have to bet on a single AI vendor. You can orchestrate across your existing AI stack, LLMs, ML models, AI agents from any provider, and swap or add capabilities as the market evolves, without rebuilding your foundation.
We have agents running. How do we govern them before they create compliance risk?
Agent sprawl is already inside most enterprises; the problem is it's usually invisible until something goes wrong. AgilePoint's AI Control Tower gives you cross-platform visibility, governance guardrails, and human-in-the-loop control across every agent running in your environment, so you can scale without losing oversight.
What does it actually mean for AI to compound across an enterprise?
Intelligence compounding means each AI use case makes the next one cheaper and faster to deploy, because you're reusing the same orchestration layer, the same proprietary context, and the same composable architecture instead of building from scratch every time. AgilePoint customers reduce AI CapEx and OpEx by up to 5X compared to custom AI pipeline development, precisely because the foundation adapts rather than gets replaced.
How quickly can we deploy AgilePoint without disrupting what's already running?
AgilePoint's composable architecture is designed for non-intrusive modernization; it sits as an agentic orchestration and governance layer above your existing systems, not as a replacement for them. Runtime composability means you can pivot-on-demand, assembling and adapting use cases from 1,200+ pre-built activities without custom development. The foundational adaptability this creates is what allows AI to compound over time, and what a Forrester TEI study validated as a 416% ROI.
