Document ingestion
PDFs, Word files, drives, and project folders brought in with version and project identity kept intact.
AI System
AI Knowledge System
Every answer your team needs, found in your own documents, with the source page attached.
For document-heavy teams in construction, legal, finance, and professional services where answers are buried in files and in one person's memory.
Reply within 24 hours. First agent, price, and timeline. No obligation.
An AI knowledge system is private search over your company's documents that answers questions and cites the exact source. Access follows your permissions, so each person only sees what they are allowed to see.
You need this when
The signs it is time.
- The same questions reach the same senior person every week.
- Answers depend on who remembers which folder a document is in.
- Bid packs, contracts, or policies run to hundreds of pages and get skimmed.
- New hires take months to find their way around the files.
- You tried a generic AI chat tool and could not trust its answers.
What we build
Modules, delivered in phases.
Answers with citations
Every answer links to the page it came from, so your team can check it in seconds.
Project and role access
Permissions follow your projects and roles, so confidential files stay confidential.
Structured extraction
Deadlines, requirements, clauses, and figures pulled into structured records, not just chat answers.
Missing and conflicting flags
When sources disagree or an answer is not in the files, the system says so instead of guessing.
How it starts
System Blueprint first.
Every AI System starts with a paid System Blueprint ($1,500-$5,000, credited against the build). In one to two weeks we map the current workflow, the first release, user roles, integrations, and risks, then give you a fixed quote for phase one.
Agents that run inside this system: Document Intake Agent, AI Operations Assistant, Compliance & Audit Agent.
After launch, Managed AI Operations (from $1,000/month) keeps the system and its agents accurate. You own everything we build.
Proof
Work we have already shipped.
Common questions
Before you start.
How much does an AI knowledge system cost?
Most builds fall between $10,000 and $35,000, depending on document volume, formats, and access rules. The System Blueprint fixes the scope before the build.
How long does it take?
A first version on a representative document set ships first, on a fixed timeline set in the System Blueprint, then expands to more sources in phases.
What is the System Blueprint?
A paid discovery step ($1,500-$5,000, one to two weeks) where we test your documents, agree the questions that matter, set access rules, and quote a fixed build. The fee is credited against the build.
Who owns the knowledge system and our documents?
You own the system and your data. Documents stay in storage you control, and we do not use them to train public models.
Can agents use the knowledge system after launch?
Yes. Document Intake and Operations Assistant agents can answer from the same sources, and Managed AI Operations keeps sources, prompts, and access current.
The Agent Audit
Get my free Agent AuditScope the system properly.
Start with the free Agent Audit. If a bigger system is the right move, we will recommend a System Blueprint with a fixed price.