Technical Feasibility Audit
Deep dive into your data pipelines, API readiness, and model selection requirements.
Strategy / Arvo Labs
Know what to build before you spend a dollar.
The opportunity
Most AI initiatives fail not because of model limitations, but because they target the wrong problem. We map your internal operations, evaluate proprietary datasets, and separate high-ROI automation opportunities from expensive gimmicks. You get a concrete execution plan in writing before writing a single line of code.
The work, made tangible
Deep dive into your data pipelines, API readiness, and model selection requirements.
Establishing the exact metric (hours saved, accuracy target, throughput) the build will be judged on.
High-level diagramming of model context boundaries, vector storage, and security layers.
Working together
Know what happens next, what you will receive and how we will work together.
Talk through your business, the problem and what a useful outcome looks like.
Agree the priorities, deliverables, timing and cost before work begins.
Review the work as it takes shape and agree the next steps.
Tools & technology
Before we begin
Typically 1 to 2 weeks. We conduct structured interviews, audit sample data, and deliver a written strategy brief.
We tell you immediately. Often, standard API integrations or process tweaks solve the issue faster and cheaper than an LLM.
A written strategy document: the processes worth automating ranked by effort and payoff, an architecture blueprint for the recommended build, the metric each initiative should be judged on, and a build-vs-buy call on each one. It's useful to you whether or not we do the build.
Let’s make it happen
Know what to build before you spend a dollar.
Discuss your project