AI Readiness Assessment

Overview

Stop Guessing. Get a Technical Read.

We assess your data, infrastructure, use cases, and cost structure. You get a prioritized roadmap and a clear "build vs. buy" view—before you pour budget into the wrong bet. The entire assessment is delivered in just 2 weeks.

The Problem

Why Technical AI Readiness Matters

Many organizations have "AI on the roadmap" but haven't committed to a first use case, or have stalled after a Proof of Concept. The biggest risk in AI isn't failing to build—it's blowing through your budget on a project that never reaches production.

Less experienced teams often fall into common traps that burn time and money:

Unconstrained Cost Spirals

Without proper token management and architectural guardrails, a successful POC can quickly become a financial liability at scale. We implement cost constraints early, ensuring your unit economics make sense before you commit.

The Research Rabbit Hole

It's easy to get lost in model tuning or chasing the latest benchmarks. We focus on "Production-First AI"—getting a reliable, monitorable system into the hands of users rather than perfecting a model in a vacuum.

Infrastructure Debt

Building AI without a clear data strategy often leads to "spaghetti pipelines" that are impossible to maintain. We ensure your foundation is built for the long term, not just for a demo.

What We Deliver

A Comprehensive Technical Assessment

Data Pipelines & Quality Audit

We go beyond strategy fluff to technical reality. We evaluate your existing data pipelines, storage, quality controls, and governance to determine whether your infrastructure is fit for LLMs and other AI workloads.

Use-Case Prioritization

We help you pick the right first bet based on a framework of Impact, Feasibility, and Data Readiness. You get a ranked list of opportunities with clear reasoning—not a wish list.

Cost Modeling & Guardrails

We model the real costs and ROI across POC, 10x, and 100x scale. We look at tokens, embeddings, pipeline compute, and operational overhead to provide a reality check before you scale.

Build vs. Buy Analysis

Pragmatic advice on when to use managed AI services versus self-hosted models, and what to build in-house versus integrate from third parties. Every recommendation is grounded in your specific context.

Prioritized Roadmap

A phased implementation plan with clear milestones, dependencies, resource requirements, and decision points. Designed so your team can execute with confidence.

Risk Register

Documented technical risks, mitigation strategies, and go/no-go criteria for each phase. You'll know exactly what could derail your plans and how to prevent it.

Who It's For

Is This Right for You?

This assessment is ideal for CEOs, CTOs, or Heads of Product at B2B SaaS or data-rich companies who want a clear "are we ready?" answer and a "what first?" roadmap.

You should consider this if:

You have AI on your product roadmap but haven't committed to a first use case
You've stalled after a POC and need a path to production
You want to validate AI feasibility before allocating significant engineering resources
You need cost projections and ROI modeling to make the business case internally
You're evaluating build vs. buy and want an unbiased technical opinion

Timeline & Investment

2-Week Engagement

By investing in a 2-week Readiness Assessment, you're not just buying a roadmap—you're buying insurance against the millions of dollars lost to failed AI initiatives and misaligned technical bets. We bring the hard-won experience of seeing what actually works in production, so you don't have to learn those lessons on your own dime.

Not sure where you stand? Take our free AI Readiness Scorecard — a 3-minute self-assessment that scores your organization across all five dimensions we evaluate.

Ready to get started? Contact us or email info@techsight.dev to schedule a consultation.