Four answers for AI adoption done right
A-SPICE work products are a good fit for AI — if the pitfalls are engineered away.
01 · One Source
Built from one knowledge base
Every work product is written from the same knowledge base — no inconsistencies between documents.
Naive AI adoption — Ask each document separately and you get a different answer every time.
02 · Grounded
Never fills in without evidence
Items not confirmed in the source stay blank and are explicitly marked.
Naive AI adoption — When unsourced sentences slip in, there is no way to tell.
03 · Built-in Tools
Deterministic input goes to tools
Machine-readable input is handled by built-in tools; only judgment calls go to AI.
Naive AI adoption — Throwing everything at an LLM burns tokens and time, and results differ every run.
04 · Your Knowledge
Your domain knowledge goes in
Enter in-house conventions and decisions directly — they are reflected in every A-SPICE work product.
Naive AI adoption — Generic AI doesn't know your context; its output looks plausible but isn't yours.
AI for judgment, tools for patterns
AI agents and built-in deterministic tools run side by side.
Everything a tool handles is one less place to hallucinate — and fewer tokens and less time.
From documents to reviewable work products
Four steps — input, knowledge, run, output.
Engineered to minimize AI hallucination
Not writing without evidence is PAVE's first principle.
Unsupported fields stay blank
Items not confirmed in the source are left blank and marked — never filled in plausibly.
Human decisions flagged for review
Items that need in-house judgment are marked as review requests and handed to people.
Review points located automatically
After generation, the tool points at what to check — review the flagged spots, not the whole document.
What AI lacks is your domain knowledge
Decisions that never make it into documents drive real designs. PAVE calls this layer knowledge, not document storage — and gives your engineers a direct path to enter it.
Simple pricing
Start with a free trial and scale with your projects
- ✓Full desktop app features
- ✓Sample project included
- ✓Works with your Claude subscription
- ✓Community support
- ✓+ Ontology & template customization
- ✓+ In-house document formats
- ✓+ Technical support
- ✓+ Dedicated technical support
- ✓+ Onboarding & training
- ✓+ Process integration consulting
From writing documents
to reviewing them
We'll walk you through technical consultation, a live demo, or a PoC project.
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