The Agentic Readiness Framework.
The open standard for measuring enterprise AI deployment readiness. 18 dimensions, 211 checks, versioned methodology, evidence-based scoring. Every assessment on this platform is computed against the same framework.
Defining Agent Readiness
Six pillars.
One living system.
Agent readiness is the measurable capacity of a company's stack to support autonomous AI workloads. From API contracts and identity to governance and external discoverability. Six interconnected pillars, 18 dimensions, 211 checks.
01
Infrastructure
4D · 63C
02
Data
2D · 27C
03
Operations
3D · 38C
04
Security
2D · 20C
05
Governance
3D · 32C
06
Discoverability
4D · 31C
Jackfruit Framework
18 dimensions · 211 checks · 6 pillars
Infrastructure
4D · 63C
Data
2D · 27C
Operations
3D · 38C
Security
2D · 20C
Governance
3D · 32C
Discoverability
4D · 31C
The Agentic Readiness Standard
Explore all 18 dimensions and 211 checks that define enterprise readiness for autonomous AI agents. Select any dimension to see its checks, assessment criteria, and how each capability is evaluated.
Evaluates how well your APIs and interfaces are structured for autonomous agent consumption. Covers specification coverage, idempotency, error semantics, rate limiting, versioning, protocol support, pagination, input validation, and throughput readiness.
API & Interface Readiness
InfrastructureEvaluates how well your APIs and interfaces are structured for autonomous agent consumption. Covers specification coverage, idempotency, error semantics, rate limiting, versioning, protocol support, pagination, input validation, and throughput readiness.
Assessment Depth
ARF assessments come in four tiers. Each tier unlocks deeper analysis by accessing more data sources.
T1 — Public Scan
Automated analysis of public web properties, APIs, documentation, and external digital presence. Available for all organizations.
~40% of checks
T2 — Code Scan
Repository-level scanning via GitHub integration. Reveals internal architecture, security practices, CI/CD maturity, and code-level patterns.
~70% of checks
T3 — Cloud Scan
Cloud infrastructure scanning via connected AWS/GCP/Azure accounts. Reveals runtime configuration, IAM policies, and cloud-native practices.
~85% of checks
T4 — Enterprise Scan
On-site assessment, manual review, and enterprise integration. Full coverage including governance and collaboration.
100% of checks
Probing public APIs_
Covers
Analyzing CI/CD configs_
Unlocks
Reading cloud logs_
Unlocks
Inspecting architecture_
Unlocks
Agentic Readiness Ladder
Every check across all 18 dimensions is graded on the ARL — a 10-stage Agentic Readiness Ladder. Each stage captures a concrete checkpoint on the path from “no signal” to “agent-native” capability.
Stages 0-3 mirror the legacy L0-L3 maturity scale. Stages 4-9 extend it into the agent era: wired into the request path, hardened in CI, production-observed, contracted, and ultimately exposed as a capability that other agents can negotiate against.
Internal-state-heavy dimensions (state management, data, governance ops) have published external-observability ceilings below ARL 9; above the ceiling, organisations attest higher stages with workspace evidence.
Why Agentic Readiness Matters
95% of enterprise infrastructure was built for human operators, not autonomous agents. The gap is existential.
Agents don’t retry politely. They fail catastrophically on undocumented APIs, missing permissions, and brittle state management.
The companies that prepare their infrastructure now will dominate the agentic economy. The rest will be left behind.
Self-assessment is unreliable. Only automated, evidence-based evaluation reveals true readiness.
Pillars
Infrastructure, Data, Operations, Security, Governance, Discoverability
Dimensions
Grouped across 6 pillars — Infrastructure, Data, Operations, Security, Governance, Discoverability
Checks
Granular, automated assessments with evidence
Get Your Assessment
See how your infrastructure scores across all 18 dimensions. Comprehensive. Actionable. Confidential.
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