The mountain of AI adoption
alpage is a small team of guides for product and operations leaders ascending into AI consulting, adoption, and applied machine learning. From org design to model tuning, evaluations, and RAG; we know the route, the weather, and how teams reach the top.
Two practices. One rope.
Two coordinated practices delivered under one engagement: AI adoption, team workflow integration, forward-deployed engineering, and AI safety and governance on the strategy side; agentic workflows, Retrieval-Augmented Generation (RAG), document AI, OCR, and model tuning on the applied ML side.
Strategy & Org
AI adoption consulting
Bring the whole team to base camp: operating model, training, and the rituals that make AI stick across product, ops, and leadership.
Organizational structuring for AI
Design teams, roles, and reporting lines that match the work AI actually creates: platform, applied, evaluation, and governance.
Team workflow integration
Embed AI into the workflows your teams already live in: IT ticketing and triage, recruiter pipelines, customer support, and back-office operations.
Forward-deployed engineering
Embed alpage engineers into your team to build, ship, and transfer ownership of AI features alongside your people. We code with you, then leave the codebase yours.
AI safety and governance
Risk frameworks, model governance, and evaluation harnesses that tell you, before users do, whether a release is shipping a regression or crossing a policy line.
Applied ML
Agentic workflows
Multi-step agents with tool use, planning, and parallel execution: the orchestration patterns that turn LLMs into production systems.
Retrieval-Augmented Generation (RAG)
Implement retrieval pipelines with citation infrastructure, freshness controls, and evals that survive contact with real corpora.
Document AI & OCR
Extract structure and signal from PDFs, scans, and messy real-world documents, and connect them into downstream agents and search.
Model tuning
Fine-tune, distill, and align open and closed models against the metrics that actually matter for your product.
Applied machine learning
Classification, ranking, embeddings, and the unglamorous pipelines that keep production systems honest.
How we guide AI adoption.
Three phases. A small team. Embedded with yours, gone when you don't need us, with documented gear left behind.
Survey
Read the terrain. Stakeholders, data, constraints, and where the actual risk lives.
Route
Pick the line up. Architecture, scope, evals, and what we ship in twelve weeks.
Ascend
Climb with you. Embedded build, then a clean handoff with documented gear.
AI consulting case studies.
A summit we've climbed with our clients. Other engagements available on request.
Civic intelligence, in plain language.
Civvy, built by the Open Source Democracy Project, helps citizens understand how policy actually affects them: bills tracked, agencies framed, representatives reachable. alpage led the platform and AI architecture for its source-cited, plain-language analysis stack.
Rope in
Best for teams 10–200 about to start, mid-climb, or stuck on a pitch. Thirty minutes, no obligation. We'll tell you whether we're the right guide for your route.