AI READINESS & ACCELERATION

AIR Index Assessment

A structured, scored assessment of data, team, process, and technology readiness by a Claude Select Partner — paired with a 12-month roadmap to AI implementation.

Each factor helps your business understand:

How your AI strategy connects to ROI

2

How ready your data and tech stack are

3

How strong your governance and risk posture is

4

How prepared your talent and culture are

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Roc360 logo with stylized R and 360° text.
FragranceNet.com logo with a vintage perfume atomizer icon and the tagline 'Trusted online since 1997.'
Elevate Aviation Group logo in white text.
Gensler company logo in white text on transparent background.
FrankCrum company logo with stylized hexagonal symbol.
PFL logo with a crown above the letters.
ServiceTitan company logo with a stylized lion's head to the left of the text.
First Stop Health company logo.
Quicken white logo
Generac brand logo in white text on transparent background.
APA poolplayers.com logo with hand holding a pool cue and ball.
What is the
AIR Index™

Delivered by consultants holding active AI and Cloud certifications, the AIR Index gives organizations a structured, scored view of where they stand today and a prioritized roadmap to get where they need to be. The AIR Index evaluates AI readiness across six dimensions. The findings inform your 12-month roadmap to bring process and team capacity in line with business goals.

Our Process

Six Dimensions of Assessment

Every AIR engagement evaluates an organization across six interconnected dimensions. Each is scored independently, then combined into a composite readiness score used to determine the recommended engagement tier.

Consulting

Expert guidance to evaluate software solutions, compare build vs. buy options, and optimize your development processes through strategic analysis and recommendations.

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Staff Augmentation

Dedicated full-time resources who integrate seamlessly into your existing team, working in your time zone and participating in all your Agile ceremonies and workflows.

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Scrum Teams

Self-organizing teams of developers, testers, and a product owner who deliver software in two-week sprints with regular demos and continuous stakeholder collaboration.

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Milestone-Based Projects

Fixed-price custom development with clearly defined scope, scheduled demos, and guaranteed pricing that includes UAT windows and post-release support.

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Service Contracts

Ongoing maintenance and support agreements available as fixed-price annual contracts or hourly arrangements with specific SLAs tailored to your post-launch needs.

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Implementation Partner

Trusted by SaaS vendors, offering structured, repeatable, high-volume implementations that quickly deliver customer value without burdening internal vendor teams.

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01 Strategy & Value

We assess whether there is a clear, funded, executive-owned view of where AI creates value for your business, and a way to prove it. This is the dimension that connects AI to the business. When AI initiatives stall, the cause is rarely the model; it is the absence of a prioritized, funded plan tied to measurable outcomes.

Sample score: 56 / 100  Constrained · Ambition without a value model
Assessment areas: Vision & ambition, Use-case portfolio & prioritization, Executive sponsorship & ownership, Funding model, Value definition & ROI tracking, Business-model alignment

02 Data

We assess the quality, accessibility, structure, and governance of your data. This is the fuel that powers every AI system. Poor data is the most common reason AI initiatives stall after launch, regardless of model quality or engineering talent. We score the data itself as an asset, not the pipes that move it.

Sample score: 69 / 100   Sustained · Differentiated model, drifting at scale
Assessment areas: Data quality & integrity, Availability & accessibility, Structure & schema consistency, Governance & ownership, Labeling & training-data readiness, Regulatory & privacy alignment

03 Technology & Infrastructure

Our certified cloud and AI consultants evaluate the stack AI actually runs on: cloud foundation, AI/ML platform and toolchain, integration layer, the path from development to production, and the automation and monitoring that keep it healthy.

Sample score: 83 / 100   Accelerated · Capable stack, thin observability
Assessment areas: Cloud readiness & scalability, AI/ML platform & toolchain, Integration & API layer, Model deployment paths, MLOps automation & observability, Stack security posture

04 Talent & Skills

We evaluate your internal AI literacy, from leadership's strategic understanding to your engineers' hands-on skills with models, APIs, and agent frameworks. Plus, we assess the capacity to operate AI in production. Organizations consistently overestimate readiness here, because strong general engineers are assumed to be strong AI engineers, and the two are not the same.

Sample score: 53 / 100   Constrained · Proven build capability, thin capacity
Assessment areas: Leadership AI fluency, Engineering AI/ML skills, MLOps & production capacity, Prompt engineering & agent-building capability, Hiring, upskilling & retention, Vendor dependency vs. internal capability

05 Governance, Risk & Responsible AI

We assess the guardrails around AI: who is accountable, what policies exist, how risk is identified and managed, how AI systems are secured, and whether outputs are fair, transparent, explainable, and subject to human oversight. The vocabulary is drawn from the recognized standards: NIST's govern/map/measure/manage functions and the OECD principles. Weakness here is not just a drag on speed; it is a source of direct liability, and increasingly a precondition for closing enterprise deals.

Sample score: 28 / 100   Inhibited · No human validation lane
Assessment areas: AI policy & accountability, Risk management, Security & privacy of AI systems, Responsible AI & trustworthiness, Compliance & regulatory alignment, Output quality controls & human validation

06 Culture, Process & Adoption

We map your existing workflows to identify where AI creates the most leverage, and assess whether the organization can turn that capability into a repeatable way of working. AI adoption fails most often not from technical shortcomings but from organizational resistance, undefined ownership, and processes that were never built to repeat. The single strongest differentiator of AI high performers is fundamental workflow redesign.

Sample score: 28 / 100   Inhibited · Nothing built to repeat
Assessment areas: Change readiness, Workflow & process redesign, Operating model & ownership, Documentation & repeatability, Adoption & usage, Scaling mechanics
By The Numbers

Scoring Tiers

Each of the six dimensions is scored from 0 to 100. A composite score is calculated and mapped to one of three engagement tiers. The tier determines First Factory’s recommended next step thus ensuring you receive a path forward calibrated to where you actually are.

Tier
Recommended Path
Leveraged Score:
75–100
The organization has strong data infrastructure, capable teams, matureprocesses, and a compatible stack. Proceed directly to AIimplementation. First Factory recommends an AI Accelerationengagement: scoping the build, selecting the right model architecture,and deploying production-grade AI within a defined timeline.
Transitional Score:
40–74
Foundational elements are in place but gaps exist in one or moredimensions. A phased approach is recommended: address datagovernance or stack modernization first, then layer in AIimplementation. First Factory will deliver a sequenced roadmap thatbuilds toward AI without overextending current capacity.
Emergent
Score: 0–39
The organization is in the early stages of AI readiness. Strategicplanning and foundational work are required before implementation.First Factory recommends a consulting engagement to establish thedata, process, and team foundations that make AI investments durablerather than experimental.

What You Receive

Every AIR engagement concludes with a structured set of deliverables designed for two audiences: the technical teams who will execute on recommendations, and the executive stakeholders who will fund them. All deliverables are produced by the same certified practitioners who conducted the assessment.

Deliverable
Description
Composite Score
The consolidation of the six dimensions into a single composite score, an engagement tier, and a composite confidence rating. We will also provide the binding constraint: the one dimension holding the others back.
Scorecard
A scored summary across all six dimensions: Strategy & Value, Data, Technology & Infrastructure, Talent & Skills, Governance/Risk & Responsible AI, and Culture/Process & Adoption. Each with its band and confidence rating.
Roadmap
A sequenced set of recommendations tied directly to business goals. These are not generic best practices. Actions are organized by impact and effort, with a suggested timeline for each. The roadmap distinguishes between quick wins (addressable within 30–60 days) and longer-horizon investments.
Risk Register
A structured inventory of identified risks across technical debt,security exposure, compliance gaps, and organizational readiness.Risks are classified by severity (Critical, High, Moderate) withrecommended remediation actions and ownership assignments.
Recommendations
A proposed engagement model and team composition based onthe AIR findings — specifying which roles First Factoryrecommends augmenting, the suggested delivery model (StaffAugmentation, Scrum Team, or Milestone Project), and a high-leveleffort and cost range for the recommended next phase.
Executive Readout
A board-ready summary of the organization’s AI readiness posture,the most critical risks, and the recommended investment priorities.Delivered as a live presentation with First Factory’s seniorleadership present. Designed to support budget conversations andstakeholder alignment.
Working Together

Engagement Overview

The AIR is structured as a four-week engagement, making it accessible as a low-commitmententry point while producing a comprehensive, high-value output. It is frequently the firstengagement in a longer Factory Method™ relationship.

  1. Week 1: Discovery
    Stakeholder interviews, documentation review, access provisioning, current-state mapping across allfour dimensions
  1. Week 2: Assessment
    Technical deep-dive, automated scanning tools, manual review of architecture, data,processes, and team capabilities
  1. Week 3: Analysis
    Findings synthesis, severity classification, roadmap sequencing, deliverable drafting,internal review with First Factory senior leadership
  1. Week 4: Readout
    Executive presentation of full findings, technical deep-dive session withengineering leads, recommended next-phase proposal
Consulting

Expert guidance to evaluate software solutions, compare build vs. buy options, and optimize your development processes through strategic analysis and recommendations.

Red circular gradient with a bright center fading to darker edges on a black background.
Staff Augmentation

Dedicated full-time resources who integrate seamlessly into your existing team, working in your time zone and participating in all your Agile ceremonies and workflows.

Red circular gradient with a bright center fading to darker edges on a black background.
Scrum Teams

Self-organizing teams of developers, testers, and a product owner who deliver software in two-week sprints with regular demos and continuous stakeholder collaboration.

Red circular gradient with a bright center fading to darker edges on a black background.
Milestone-Based Projects

Fixed-price custom development with clearly defined scope, scheduled demos, and guaranteed pricing that includes UAT windows and post-release support.

Red circular gradient with a bright center fading to darker edges on a black background.
Service Contracts

Ongoing maintenance and support agreements available as fixed-price annual contracts or hourly arrangements with specific SLAs tailored to your post-launch needs.

Red circular gradient with a bright center fading to darker edges on a black background.
Implementation Partner

Trusted by SaaS vendors, offering structured, repeatable, high-volume implementations that quickly deliver customer value without burdening internal vendor teams.

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who we are

Delivered by Certified Practitioners

Every AI Readiness Index engagement is led by First Factory consultants holding active Claude certifications and AWS Partner credentials. Clients receive findings from practitioners who can also execute on them, not generalist account managers who hand off to a delivery team they’ve never met.

First Factory is a Select partner in the Claude Partner Network. We are also an AWS certified partner and are SOC2 Type 2 certified, meaning we hold ourselves to the same securitystandards we assess in your environment. This matters when we’re reviewing your datagovernance posture, your secrets management practices, or your API security configuration.You can trust that we approach those areas with the same rigor we apply to our ownoperations.

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