aiid

Accelerate and automate

Implementation planning — Identify the places where AI can provide instant ROI.
Risk review — Learn how to protect your data and make AI outputs more deterministic.
Tailored training — Get your team fluent with AI with custom training tailored to the tools and workflows they use.

Object detection

Depth estimation

Pose estimation

Text recognition

Computer vision specialists

Why stop at LLMs? Build perception into your automated workflows.

of the U.S. labor force works at a company that has adopted AI, but only of workers use AI on the job. Trained users adopt at and report saving per week on their current tasks.

Services

AI opportunity assessment — Identify where AI could save time or unlock new capability for your team.
Adoption diagnostic — Figure out why you aren't getting the expected benefits since adopting AI.
Vendor & tool selection — Evaluate AI platforms and tools against your stack and shortlist what to pilot.
Data & risk review — Identify sensitive-data exposure and recommend privacy controls for your stack.
AI ROI framework — Define the metrics and reporting needed to track AI's business impact.
AI usage policy — Draft internal guidelines on what your team can and can't do with AI tools.
Adoption roadmap — Phased plan with priorities, dependencies, and team training needs.
Coaching retainer — Standing capacity for adoption questions and workflow tweaks after rollout.

Workshop facilitation — Hands-on session, on-site or remote, where your team leaves with reusable tools.
Custom curriculum development — Training program built around your team's tools and workflows.
Executive briefing — Half-day session on current AI capabilities and risks for leadership.
Train-the-trainer program — Equip an internal champion or cohort to run AI training for your team.

Local LLM deployment — Private model on your hardware with access controls and integration hooks.
Custom agent development — Design and build a specialized agent for a defined business task.
Agent orchestration — Wire agents into your event triggers, business systems, and data sources.
RAG system — Chatbot, search, or summary outputs grounded in your internal documents.
Document extraction pipeline — Extract structured data from contracts, invoices, forms, or PDFs at scale.
Computer vision system — Deploy a perception model on your images or video.
AI engineering retainer — Standing capacity for ongoing builds, integrations, and system changes.