AI Readiness Assessment
Whether your environment can support AI, and what it would take.
Enterprise AI implementation that reaches production
For mid-market and regulated organizations without a large in-house AI engineering team. We assess, build, integrate and govern AI systems inside your environment, and the code, prompts and system remain yours.
Built and run by us
What we do
From the first decision to a system that keeps working
AI Strategy and Roadmap
The order things get built in, and the list of what you are not building.
AI Integration Services
Retrieval that reaches the right documents, and nothing the asker could not open.
AI Implementation
One workflow live with real users, a trained admin, and code you own.
AI Governance
What AI is running, who owns it, and what it can reach.
AI Operations and Support
Evaluation, permissions, model migrations and cost, after go live.
Why Alppoint
We build the system and leave it running
Alppoint AI works with firms of 200 to 1,500 people in financial services, professional services and legal. Most can see what AI could do. The hard part is getting it into production without an internal engineering team to hand it to.
We map the problem, build the system on your infrastructure and put it in front of real users. It keeps running in your environment and remains your asset after handover.
Systems that go live
The deliverable is a running system with real users, not a slide deck or a prototype that never ships.
The whole function, not extra hands
We are the engineering function for firms that have decided not to build one internally.
Your environment, your asset
Code, prompts, configuration and evaluation sets sit in your own accounts and remain yours on exit.
Senior people, no account layer
You work directly with the people building the system, with only a few engagements running at once.
Selected work
Systems running in client environments
Three examples of work that reached real users and remained with the organization that commissioned it.
Blog
AI insights
Read all posts
Retrieval and context, August 4, 2026
Why more context does not make an AI system more accurate
Vendors sell bigger context windows as a fix for retrieval problems, but stuffing more text into a prompt...
Agents and tool use, August 4, 2026
How many tools is too many for one AI agent
Vendors will let you wire up as many tools as you want to a single agent, but every...
Model selection and cost, August 2, 2026
Why your AI system does not need the newest frontier model to be worth using
Reaching for the newest frontier model feels like the safe default, but most narrow business workflows never draw...
Put one valuable AI workflow into production
Tell us which workflow matters, who runs it today, and what good would look like. We will tell you what it would take to put it in front of real users.