GENAI
Composable foundations, generated from the assets you already have →
Stop rebuilding for AI. Generate the foundation it needs.
Composable architecture is what bridges probabilistic AI to the deterministic certainty the enterprise demands. The problem most teams hit isn't the destination — it's the rebuild. AgilePoint Composable GenAI turns your existing process diagrams, forms, and prompts into a living composable foundation — without months of re-architecting. Then a Composable Extension SDK lets you grow it without descending into vibe-coding sprawl.
From siloed legacy to vendor-neutral composable freedom — generated, not rewritten.
01 — Generate · Composable GenAI
From paper, PDF, and Excel — into a living composable foundation.
AgilePoint Composable GenAI ingests the artifacts your business already maintains — process diagrams in any format, forms as images or spreadsheets, prompts as natural language — and generates native composable processes, forms, AI control tower, and data entities. No multi-year rewrite. The foundation appears from the assets you've been carrying for years.
Legacy
Efficiency-focused. Static.
What you have today — usable as input
Process diagrams
Forms & calculators
Prompt libraries
↘ Carries with it
↺ GEN AI
AgilePoint
Composable
GenAI
AgilePoint
Composable
GenAI
Composable Foundation
Efficiency + pivot-on-demand.
Generated assets — composable, reusable, AI-ready
▲ NATIVE
Processes
End-to-end orchestrations
◇ NATIVE
Forms / Mobile
Responsive, governed UI
◆ AI
AI Control Tower
Multi-model, multi-agent
⬡ DATA
Data Entities
Harmonized ontology
⊞ PATTERNS
15+ workflow patterns
Composable & reusable across applications
▼ Substrate
Enterprise Capability Library — abstracted business functions
Existing Systems · 120+ and extensible · ERP · CRM · Finance · HR · ITSM · DB
↻ Before · Legacy
Process diagrams stay documents. Forms stay spreadsheets. Each new requirement requires rebuilding. AI adoption is forced to start from point-one.
■ After · Composable Foundation
Every artifact becomes a reusable composable activity. Workflows pivot on demand. AI runs on top of harmonized context — not on top of chaos.
02 — Extend · Composable Extension Framework
Grow the library. Without the sprawl.
A composable foundation only stays composable if everything new flows back through the same library. The Composable Extension Framework SDK turns any new IT asset — an integration to a private enterprise system, a homegrown app, even a vibe-coded fragment — into a single composable activity. One point of failure. Referenced, not embedded.
Sources of new capability
Three lanes. One framework.
Each becomes a single composable activity
Composable Extension Framework SDK
▣ PRO DEV
Pro Dev
components
⬢ INTERNAL
Homegrown
Systems
{ } AI-GEN
Vibe
Coding
↻ ENCAPSULATE
Single
composable
activity
Single
composable
activity
Extended Composable Foundation
The library grows by reference.
Existing applications reuse without duplication
▲ NATIVE
Processes
End-to-end orchestrations
◇ NATIVE
Forms / Mobile
Responsive, governed UI
◆ AI
AI Control Tower
Multi-model, multi-agent
⬡ DATA
Data Entities
Harmonized ontology
⇄ Library extension
Each new activity joins the Enterprise Capability Library — referenced across all composable applications.
↘ The discipline
Code generated by vibe coding becomes one composable activity with a single point of failure. Applications that need that capability include it as a reference — not by re-embedding the code. Maintenance is one place, not fifty. AI token cost is amortized, not duplicated.
Avoid coding sprawl
Vibe-coded fragments scattered across applications become a maintenance trap and a security exposure. Encapsulation makes each one governed, audited, and replaceable in a single place.
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Optimize AI tokenomics
Embedded AI calls duplicated across applications multiply token cost. Reference-based reuse means one call, cached and governed — costs scale with reuse, not duplication.
03 — Why this changes the AI math
Two operating models. Two completely different outcomes.
Hallucinations, token costs, context fragmentation, and stalled pilots aren't AI problems — they're architecture problems. Composable GenAI and the extension framework move enterprises off the left panel and onto the right.
↻ Traditional Enterprise AI
Bolted on a fragmented stack.
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Stuck in perpetual experimentation — pilots cycle without operational adoption
Siloed ERP, CRM, finance, HR, ITSM systems feed AI through ad-hoc APIs
Token consumption scales linearly with every new application
Every AI vendor change forces re-integration
▲ The AgilePoint Way
Bridged through composable certainty.
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Closed-loop optimization — production AI improves with deterministic feedback
Harmonized data, context, and workflows feed AI through one composable layer
Token consumption amortizes through reference-based reuse
AI vendors swap behind the Control Tower without touching applications
⏵ COMPOSABLE GENAI · AVAILABLE TODAY
Bring your PDFs. Leave with a composable foundation.
AgilePoint Composable GenAI turns the artifacts you already have into the foundation AI actually needs. The Composable Extension Framework SDK keeps it composable as you grow — reference, never duplicate.