Before you bring AI
into the room.

An AI consulting company helps identify useful applications, test whether they are feasible, and build the software needed to run them reliably. AI Handy focuses on hands-on engineering: evaluation, retrieval, agents, fine-tuning, integrations, guardrails, monitoring, and handover.

Our services cover AI discovery, RAG and search, agentic workflow automation, model fine-tuning and distillation, evaluation infrastructure, and embedded ML engineering. The common thread is a real workflow, real data, and a clear path to production.

We are best suited to established teams with a valuable workflow to improve, access to the relevant data, and people who can own the system after handover. If the goal is only a strategy presentation, a traditional consultancy may be a better fit.

We start by clarifying the user problem, available data, constraints, and the decision the project needs to prove. Depending on what is already known, that can lead into a focused discovery, a technical spike, or a production build.

It depends on the problem and the state of the data. AI Handy's current service ranges run from two to four weeks for discovery, three to five weeks for evaluation infrastructure, six to ten weeks for RAG, and eight to fourteen weeks for agentic systems.

Yes. AI Handy works in your repository and alongside your team. The aim is shared context, frequent working demonstrations, and a system your people can operate and extend.

The engagement is designed around delivery into your environment, with code, documentation, runbooks, and knowledge transfer forming part of the handover. Project-specific commercial terms are agreed before work begins.

We define representative test cases and measurable acceptance criteria before expanding features. The evaluation should cover task quality as well as failure modes, latency, cost, and any risks specific to the workflow.

Yes. A prototype is often the fastest way to expose the real engineering work: retrieval quality, permissions, evaluation, reliability, monitoring, and integration with the surrounding product.

Security requirements are part of system design, not a final checklist. We map data access, user permissions, model and vendor boundaries, logging, retention, and human review needs for the specific use case.

Cost depends on the delivery model, project scope, technical risk, and duration. AI Handy scopes the smallest engagement that can answer the important question, then confirms commercial terms before work starts.

Send a short description of the workflow, the users affected, the data involved, and what success would change for the business. We reply within one business day and usually much faster.