AI readiness assessment in 2 to 3 weeks, with a fixed estimate

Most teams know they need AI; few know where to start

Lists of AI ideas are long and budgets are not. Without an assessment, teams end up picking the flashiest use case instead of the one that pays back, or buying a project whose scope shifts halfway through. The AI Readiness Sprint turns that list into a decision: we review your processes, data and systems, estimate the return of each use case with assumptions you can challenge, and give you the architecture and a fixed-price estimate for the first one. If the best outcome is not to build yet, we say so.

• 01Inventory of candidate processes, with volume, current cost and an owner for each
• 02AI use cases prioritized by return, feasibility and risk, with explicit ROI assumptions
• 03Review of data and system readiness: what exists, what is missing and what is reachable by API
• 04Proposed architecture for the top use case, with build-versus-buy options
• 05Fixed-price estimate, timeline and milestones for the project
• 06A written report and a walkthrough session with your leadership and technical team

• Several ideas and one budget

  Different teams have proposed chatbots, document processing and forecasting, and there is money for one project. The sprint ranks the candidates on return, effort and risk using your own volumes, so the choice rests on assumptions you can inspect and challenge.

• A pilot that never reached production

  A previous AI pilot looked promising and then stalled. We review what blocked it, whether the cause was data, integration, ownership or scope, and what would have to change before a second attempt is worth funding.

• A build-or-buy decision

  A vendor has pitched a product that covers part of your need. We compare it with a custom build against criteria you approve, including integration effort, data handling, switching cost and total cost over a few years.

• A leadership team that needs numbers

  Executives want to approve an AI project without relying on a demo. The report gives them ranked use cases, the architecture for the first one, a fixed-price estimate and a clear statement of the risks.

1. 01

   Interviews and process review

   We talk with the people who run the processes, not only the people who supervise them. We measure volume, cycle time and current cost so the ROI starts from your numbers.

2. 02

   Data and systems review

   We check what data exists, what state it is in and how it can be reached. We surface early the integration and security blockers that most often change a project.

3. 03

   Prioritize and design

   We score each use case on return, effort and risk, and design the architecture for the first one. We compare building custom against buying a product, using criteria you can review.

4. 04

   Report and fixed estimate

   We present the findings, take objections, and commit a fixed-price estimate with milestones. Whether to proceed is your call, and the sprint documents are yours either way.

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