2 weeks · fixed fee
AI Production Readiness Review
Know what to build before you fund it. An evaluation baseline on your data, a target architecture, a run-cost model and a go/no-go plan.
Know what to build before you fund it
Two weeks to answer the questions your board will ask: which AI use case pays back first, whether your data can support it, what it will cost to run, and how you will know it works.
What is an AI readiness review?
Most AI plans fail before the first line of code
Board wants an AI plan
Pilot stuck in demo
Unclear run costs
An AI readiness review is a fixed two-week engagement. We look at your use case, your data and any prototype you already have, then measure where you stand on an evaluation set built from your own examples.
You leave with a target architecture, a cost and latency model, the risks that would block production, and a 90-day plan you can run with us or with your own team.
01
Evaluation set and baseline
Real examples from your business, scored with metrics you agree to: accuracy, cost per task, time saved. Every later decision is measured against this baseline.
02
Target architecture
Which models, retrieval, agents and integrations the system needs, and which it does not. Build, buy or both, with the trade-offs written down.
03
Run-cost and latency model
What the system will cost per task and per month at your volume, and how fast it will answer, before you commit a budget.
04
Go/no-go and a 90-day plan
The risks that would block production, how to retire them, and a delivery plan with milestones your team can hold us to.
How the two weeks run:
Which use case first?
We rank candidates by value, data readiness and risk, so the first project pays for the next.
Is our data ready?
Coverage, quality, access and privacy, checked on the data the system would actually use.
Build or buy?
Where an off-the-shelf tool is enough and where a custom system earns its cost.
Which model?
Hosted or open-weight, large or small, measured on your evaluation set rather than on public benchmarks.
What about compliance?
Personal data, audit trails and the EU AI Act obligations that apply to your use case.
What will it cost to run?
Model, infrastructure and maintenance costs at your volume, with the levers that bring them down.
Not sure the review fits? Talk to an engineer for 30 minutes first.
Two weeks. Fixed scope. A plan you can execute with us or without us.
How we engage
Start small, with a fixed scope
6–9 weeks · team of 4
Pilot-to-Production Sprint
One workflow, live in production. Built or rebuilt, connected to your tools, with human approvals where the stakes are high and monitoring against the baseline.
Monthly · from 3 months
Forward-deployed AI engineers
Senior AI and data engineers who join your team, work in your tools and ship on your roadmap.
Part-time · monthly
Fractional AI CTO
Senior leadership for your AI roadmap: model and vendor choices, team design, architecture reviews and board reporting.
What clients say
Teams that kept working with us
From my experience, it is hard to find a team who have both excellent technical and commercial skills. Busy Rebel has never let us down, so we continue to work with them. The most important criteria we have as a team is creating & maintaining high standards; Busy Rebel has this in spades.
I've had the pleasure of working with a few software houses in the past, but none of them compares to the team at Busy Rebel. Their sense of mission and purpose is unparalleled, and their in-house skills are excellent. I always know that I can rely on them to get the job done, and done well, even if we are working remotely.
Thanks to the contributions of Busy Rebel, our organization as a massive worldwide distributor has passed all phases of digital transformation, gained a competitive advantage, and somewhere has revolutionized our industry. Busy Rebel is extremely productive digital partner, and internal stakeholders are particularly impressed with the vendor's dedication to success and attention to detail.
Tell us what you’re trying to ship
AI readiness review: FAQ
How long does an AI readiness review take?
Two weeks from kickoff to readout. We need about two hours a week from the person who owns the problem, and access to sample data in the first three days.
What do we need to prepare?
A use case or a short list of candidates, 50 to 200 real examples of the work the system would do, and access to the data it would use. We sign an NDA before we see anything.
What does it cost?
A fixed fee agreed before we start, so the scope cannot drift. We share the current price on the scoping call.
What if the answer is “don’t build it”?
Then you have saved the cost of a failed pilot. A clear no-go with the reasons is a valid result, and we will say so.
Do we have to build the system with you afterwards?
No. The plan is written for whoever builds it. Some clients continue with a Pilot-to-Production Sprint; others hand it to their own team.
