A next-generation strategy first agency architecting real-world advantage
from AI.
A next-generation strategy first agency architecting real-world advantage
from AI.
Featured Insight
The AI Value Paradox
Why 85% of Technology Investments Fail to Deliver and How to Fix It
Our latest report deconstructs the common points of failure in corporate AI adoption.
We provide leaders with a proven framework to shift from a technology-first procurement model to a strategy-led approach that creates a durable competitive advantage.
Our Capabilities
Strategy-first. ROI-driven. Impact guaranteed.
For leaders aiming to use AI to create new revenue streams and drive market-leading growth.
For underperforming businesses, where AI can be surgically applied to streamline operations and execute a return to profitability.
For boards and investors needing objective, data-driven counsel to navigate the complexities of the AI landscape.
Client Impact
AlphaTUB AI for Inclusive Education
Arryn.ai partnered with AlphaTUB to design an AI-powered learning ecosystem, enabling personalized multilingual education at scale.
Expanded global reach across 15+ countries, improved accessibility for thousands of children, and strengthened brand positioning in EdTech.
Who We Are
Strategy Powers Growth
Strategy Meets Innovation
Building Future-Ready Enterprises
Let's Architect Your Advantage.
Connect with us to discuss how a bespoke, strategy-first approach to AI can transform your organization.
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7 Days CEO Dashboard Access
Digital Marketing Audit Report
Why?
Your top questions answered before our first call.
Transformation fails when technology leads and business follows. Arryn.AI begins by defining value at stake, the few metrics that matter, and the constraints that shape the path (data, talent, compliance, capital). Strategy comes first so execution converts into P&L impact.
Decide what to win before what to build. Arryn.AI uses hypothesis‑driven problem solving and MECE issue trees, then designs a thin slice that can prove value in ≤90 days across three lenses:
- Value architecture: growth, cost, and risk levers quantified in a driver/KPI tree.
- Operating model: roles, decision rights, incentives, and change plan.
- Technical backbone: data, platforms, and integration patterns that scale.
Within the Strategy Sprint (Weeks 2–4) Arryn.AI publishes a board‑ready business case:
- Value at Stake (VaS): baseline × targeted improvement × unit economics.
- ROI/NPV/Payback: cash impacts net of CapEx/OpEx and AI usage.
- Sensitivity & risks: best/base/worst scenarios with assumption logs.
- KPI tree: leading indicators (cycle time, conversion, AHT) → lagging (revenue, margin, NPS).
- Value realization plan: owners, timelines, and gates per value driver.
A 2–4 week executive sprint that produces:
- Issue tree & hypotheses (root causes, options).
- Data/tech due diligence (quality, access, security, integration).
- Value architecture & KPI tree.
- Target Operating Model (TOM) (governance, roles, decision rights).
- Thin‑slice roadmap (90‑day proof path; 12‑month scale plan).
- Investment thesis & business case (VaS, ROI, risks).
- Risk & compliance register (controls, auditability, guardrails).
- Industries: financial services & fintech, retail & CPG, real estate & hospitality, energy & infrastructure, logistics & manufacturing, regulatory intelligence/public/NGO, health & animal nutrition.
- Markets: North America, India, and the EU (including Italy) via Arryn.AI’s partner network.
Illustrative ranges; final scope follows goals and constraints.
- Strategy Sprint (fixed fee): $15k–$45k
- Design & Validation (milestones): $40k–$120k per tranche
- Build & Integrate (milestones): $80k–$300k+ per release
- AI usage (metered): pass‑through compute/storage with thin ops margin
- Enablement & Growth (retainer): $8k–$35k/month
- Run & Improve: right‑sized SRE, analytics, optimization
Value‑based pricing available where KPIs and telemetry allow shared upside.
- Executive sponsor and empowered product owner.
- Access to data & systems (with security approvals).
- Process SMEs for rapid decisions.
- Change & comms partners to align the field.
- A willingness to measure and act on what the scoreboard shows.
- Day 30: KPI tree agreed, thin slice selected, prototype in users’ hands.
- Day 60: Pilot in production‑like conditions, adoption plan running, early KPI movement.
- Day 90: First release live with dashboards; decision to scale, pivot, or stop—based on numbers.
