What We Build
Four kinds of work, all aimed at the same outcome: less time lost to slow processes and scattered information, more time spent on the work that actually needs a person.
Most companies already have the answer somewhere: in a manual, a closed ticket, an old email thread, or a CRM note nobody reads twice. We build retrieval-augmented search (RAG) that pulls from that material directly, grounds every answer in a real source, and shows that source so people can verify it.
Some work is just steps: read this, check that, decide, route it, log it. We build AI agents that handle the repetitive parts of that work, so your team spends less time on data entry and more time on judgment calls that actually need a person.
A new AI tool is only useful if it lives where your team already works. We connect AI capability into your existing CRM, ERP, AWS environment, or internal tools, without asking anyone to learn a separate system or rip out what already works.
Open-ended retainers create open-ended bills. Every Aluf engagement has a defined deliverable, a defined price, and a defined timeline before work starts, so you know what you are getting and when you are getting it.
How An Engagement Typically Starts
Most engagements start with a single, specific complaint: a team that keeps re-answering the same questions, a review process that takes too long, a system nobody wants to touch because no one fully understands it anymore. We start there, not with a menu of services.
From that conversation, the right combination of search, agents, integration, and scope usually becomes obvious fairly quickly. Some engagements end up needing all four. Most need one, done well, before anything else is worth discussing.
See It In Practice