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90-Day AI Readiness Sprint

AI Readiness in 90 Days

The AIDOLS 90-Day AI Readiness Sprint is a fixed-fee engagement that takes one operational workflow to production AI in 90 days. If the deployed system does not generate ROI exceeding its fee within 90 days, the fee is refunded in full.

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The first measurable result comes in 2–3 weeks; the production deployment is measured against a 40%+ efficiency target at day 90.

Organizations we've worked with

  • Cohere
  • A-Way Express
  • Paracelsus
  • Medizin Online

Research collaborations

  • University of Toronto
  • UC Berkeley
  • Vector Institute

An AIDOLS venture

  • GrantOpsGrantOps

Why Your AI Program Is Stalling

Traditional consulting takes 3–6 months just to deliver a strategy deck

Uncertain outcomes with no stated ROI targets or success metrics

High consultant dependency with uncertain post-deployment support

Static recommendations that fail to adapt to changing market conditions

AI recommended before anyone checks whether software or a process change would fix the bottleneck

Introducing the AI Readiness Sprint

A focused 90-day engagement: assess one workflow, give a written verdict, and put the AI that pays into production.

Workflow Mapping and a Measured Baseline

A Written Verdict per Bottleneck: Software, a Process Change, or AI

The First Measurable Result in 2–3 Weeks

Production Deployment Within 90 Days, Measured Against a 40%+ Efficiency Target

Written ROI Guarantee: Fee Refunded in Full If ROI Doesn't Exceed It Within 90 Days

The 90-Day Plan

1
Weeks 1–3

Map the Workflow and Set the Baseline

Workflow mapping, baseline measurement and a written verdict per bottleneck, with the first measurable result

2
Weeks 4–8

Build on Your Own Data

The system is built against the baseline and integrated with your existing tools

3
Weeks 9–12

Production Deployment

Deployment to production, monitoring from day one and measurement against the 40%+ efficiency target

4
Day 90

Day-90 Review

The production system is measured against the 40%+ efficiency target and against its fee

Targets and Terms, Stated Up Front

What the 90 days are measured against, and what happens if the system falls short.

First measurable result in 2–3 weeks

Production deploy within 90 days, with a 40%+ efficiency target, measured at day 90

Full 100% ROI (a 2× return) typically in 6–12 months

If the deployed system does not generate ROI exceeding its fee within 90 days, the fee is refunded in full

Simple, Transparent Pricing

$75K–$150K

90 days, fixed fee.

No budget overruns, no surprise costs. A fixed fee, with a written ROI guarantee.

Workflow Mapping and Baseline

A Written Verdict per Bottleneck

Production AI System Deployment

Integration With Your Existing Tools

Day-90 ROI Review

Documentation and Handover

See all AIDOLS pricing

Why the Sprint Wins

Traditional Consulting

9+ months to results
Uncertain ROI
Static recommendations
High consultant dependency

AIDOLS Sprint

90 days to production AI
Written ROI guarantee
Systems that learn from your data
A system your team owns

AI Implementation Timeline FAQ

Answers to common questions about rapid AI implementation

How long does AI implementation take for small businesses?

Small and mid-sized businesses get the same timeline: the first measurable result in 2–3 weeks and the system in production within 90 days. Fewer legacy systems and shorter approval chains make that deadline easier to hold.

Timeline

What is a 90-day AI sprint?

A 90-day AI sprint is a time-boxed, fixed-fee engagement that compresses the 9–18 month cycle AIDOLS estimates for traditional AI consulting into three months. The AIDOLS 90-Day AI Readiness Sprint maps the workflow and sets the baseline (weeks 1–3, with the first measurable result), builds the system on your own data (weeks 4–8), and deploys it to production, measured against the efficiency target (weeks 9–12).

Sprint

Can AI really be implemented in 90 days?

Yes, production AI can be deployed in 90 days when the engagement is structured correctly. The key is focusing on high-impact, well-defined use cases rather than boiling-the-ocean enterprise modernization programs. AIDOLS maps the workflow first, so the build starts on a known problem, and ships production code rather than a strategy document.

Feasibility

What is the ROI of a rapid AI implementation?

A full 100% ROI (a 2× return) typically takes 6–12 months; efficiency gains appear within the first 90 days. AIDOLS sets a 40%+ efficiency target, measured at day 90, and the guarantee is contractual: If the deployed system does not generate ROI exceeding its fee within 90 days, the fee is refunded in full.

ROI

What is the difference between an AI sprint and traditional consulting?

Traditional AI consulting is open-ended, billed hourly, and often results in strategy documents rather than working systems. An AI sprint is fixed-fee, time-boxed, and outcome-focused: it delivers a deployed AI system, not a report. AIDOLS puts its fee at risk: If the deployed system does not generate ROI exceeding its fee within 90 days, the fee is refunded in full.

Comparison

Still have questions?

Talk to our team. No pitch deck, just straight answers about your situation.

Book a 15-minute call

Ready to Start Your 90-Day AI Readiness Sprint?

Put one workflow into production AI in 90 days instead of 9+ months.

Want a baseline first? Take the 5-minute AI readiness assessment — a 0–100 score, no signup to start.