We didn't set out to build workflow. We set out to anticipate AI.
A workflow company that never wanted to be one.
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Build a no-code execution architecture whose flipside happens to be exactly what citizen developers and AI agents would later need.
The market called us a BPM company. Then a low-code company. Neither was the plan. Both were natural consequences of an architecture built for something else.
The same composable architecture, three times re-recognized.
2003
The composable bet.
Ascentn (later AgilePoint) is founded on Jan 23. The thesis: execution should not be hard-coded. Build an architecture that adapts in real time — relevant to agility, and one day, to AI.
2007
Gartner BPM Cool Vendor.
Gartner spotlights AgilePoint for processes where the sequence of work isn't well understood — exactly the class of problem traditional BPM couldn't pre-define. The composable bet pays off.
2016
Enterprise low-code.
The same architecture, now powering citizen development at TSMC, Toyota, Bridgestone, Boeing, Hyundai. Gartner Magic Quadrants for iBPMS, Low-Code Platform, and HPaPaaS.
2025
Agentic orchestration.
The market finally needs what we built in 2003. Composable architecture is now a must-have for governing agentic orchestration and enabling sovereign enterprise AI.
The proof was on the record in 2007.
Source: Gartner BPM Cool Vendors Report, 2007 — naming AgilePoint a Cool Vendor for business process management.
Most digital transformations stop one step short.
Digitization
Productivity automation
Pivot-on-demand adaptability
Agentic AI & autonomous business
Skipping the adaptability step means bolting AI onto rigid processes — which is why 95% of enterprise AI pilots show no measurable return. AgilePoint customers cleared step 3 years ago, often without realizing they were doing so. That's why their AI investments work.
Customers who bet with us — starting in 2007.
85%
of AgilePoint applications are complex, mission-critical end-to-end orchestrations already futureproofed for enterprise agentic AI.
Source: study of four global enterprise customers who adopted AgilePoint in 2006, 2010, 2015, 2018.
92%
Native connectivity to ERP, CRM, ITSM, data, and AI platforms — data & context harmonized across silos.
Source: customer-reported voice-of-customer benchmarks.
4 → 10yrs
Split, OR/XOR/AND, Branch, Rollback, Skip, Milestone, Dynamic Sequential / Parallel / Hierarchical, Async & Sync.
Source: customer-reported voice-of-customer benchmarks.
$12.7M
saved on regulatory fines and rework by preventing more than 800 errors in complex business-critical workflows.
Source: customer-reported voice-of-customer benchmarks.
70–85%
reduction in AI hallucinations through unified data semantics and cross-functional proprietary context.
Source: AgilePoint platform benchmarks, 2025.
5×
lower CapEx and OpEx for AI deployment vs. leading AI platforms, driven by reuse of foundational adaptability.
Source: AgilePoint platform benchmarks, 2025.
For 22 years we were early. Now we're on time.
Composable architecture is a must-have.
Not a nice-to-have. Not a 2026 roadmap item. A must-have for governing agentic orchestration and enabling sovereign enterprise AI. The market has finally arrived where we've been standing — and the customers who bet with us early have a multi-year head start.
Vendor-neutral foundation
One abstraction layer harmonizing 120+ enterprise systems and homegrown assets. No lock-in to any AI model, vendor, or cloud.
Enterprise agentic orchestration
Real-time governance between adaptive AI proposals and deterministic systems of record. Auditable. Policy-bound. Cross-platform.
Big AI results · little AI price
5× lower CapEx/OpEx than leading AI platforms. 70–85% reduction in hallucinations through context grounding. Strategic freedom to swap models as the market evolves.
Twenty-two years of relentless innovation.