Princeton IT Services
Research agents
Claude agents that search approved documents and cite the source passage.
Partnerships / Anthropic
Claude implementation: AI agents with Claude that cite their sources and log every step.
We design, build and run AI agents on Claude for research, document work and back-office workflows. Each one works from the sources you approve, shows the passage behind every answer, runs behind a safety gateway with a full activity log, and leaves the final call to a reviewer.
What we do with Anthropic
Where we work together
Document work
Comparing documents and drafting summaries for a reviewer to approve.
Safety gateway
Every agent ships with a safety gateway and a log of everything it did.
Hybrid routing
Claude where a task needs it, models you host where the data must stay in-house.
Research agents
Research agents that answer from your documents, with the source
A research agent on Claude searches the documents you have approved, such as regulations, policies, contracts or product files, and answers with the passage it relied on, so a reviewer can check the answer instead of trusting it. We built one on Claude Sonnet for FDA material: it reads guidance, approval letters and labeling requirements, answers questions with citations, compares documents and drafts summaries for a person to review.
What we do
- Retrieval over approved documents only
- A citation to the source passage with every answer
- Comparison of documents and of versions
- Answers a reviewer can check before anyone acts on them
Document work
Comparing, extracting and drafting, with a person approving the result
Much of what Claude does well is reading: comparing two versions of a document, pulling the fields out of a form or a certificate, or drafting a summary of a long submission. We build each of these as a step in a workflow, and the draft goes to a person to approve, not straight to a customer or a regulator.
What we do
- Comparison of documents, labels and versions
- Fields extracted into the systems that need them
- Summaries and first drafts for a reviewer
- A hand-off to a person whenever the agent is unsure
Safety gateway and audit log
A safety gateway, and a log of everything the agent did
Every agent we ship sits behind a safety gateway. It can reach only the data and the tools it has been given, with the least access it needs, and anything above a limit you set waits for a person. Everything it does is logged, from each request and tool call to the answer it gave, so you can see what happened and why. The log is kept apart from the documents the agent works from.
What we do
- Least-privilege access to data and tools
- Approval by a person above a limit you set
- A log of every session, request, tool call and answer
- Cost, speed and accuracy monitored in production
Hybrid routing
Claude where a task needs it, models you host where the data must stay in-house
Not every task needs the largest model, and not every document may leave your network. A routing policy sends each task to the right place: Claude for the reasoning and writing it does best, and smaller models you host for sensitive or high-volume work, all behind the same gateway and the same log. We measure accuracy, speed and cost on your own workload before recommending the split, as described on our Hybrid & Edge AI page.
What we do
- Tasks routed by sensitivity, difficulty and cost
- Models you host for data that must stay in-house
- One gateway and one log across every model
- The split tested on your workload first
How an implementation runs
From one use case to an agent in production
We start with one bounded job and a clear measure of success, prove it on your real documents with a reviewer in the loop, and only then take it to production. The agent is given more independence when its results justify it, and your team gets what it needs to run the agent without us. It is the same method our AI Consulting practice uses on every platform.
What we do
- Use-case selection: one bounded job, its data and a success measure
- Pilot: Claude on your real documents, with a reviewer checking every result
- Production: least-privilege access, the safety gateway and full activity logs
- Handover: documentation, monitoring and training, so your team can run and tune it
Case studies
Work on Anthropic
Client names are withheld. We are happy to share details on a call.
- Internal project
Cited answers
Food & beverage compliance
AI ConsultingFDA regulatory research agent built on Claude
Food and beverage teams spend hours each week checking FDA sites for regulatory changes. This agent ingests FDA guidance, approval letters and labeling requirements, answers questions with citations to the source passage, compares documents and drafts summaries for review. Built on Claude Sonnet.
Every answer cites its source- Submission summaries drafted for review
Questions
Questions about Claude
What does a Claude implementation partner do?
We take a use case from idea to production on Claude. We choose the job with you, connect Claude to the documents and systems it needs, build the safety gateway and the activity log around it, prove it in a pilot with a reviewer, and hand over an agent your team can run. We can also look after it afterwards.
What kinds of AI agents do you build with Claude?
Mostly research and document agents: agents that answer from approved documents with a citation, compare documents, extract fields and draft summaries for review. We also build agents that watch an inbox, a folder or a schedule and carry out routine back-office steps within limits you set.
How do you keep a Claude agent safe to use with business data?
Every agent runs behind a safety gateway that limits what it can reach and what it can do without a person’s approval, and that logs every request, tool call and answer. The agent works only from the sources you approve, and it shows the passage behind each answer.
Can sensitive data stay inside our network?
Yes. With hybrid routing, tasks involving data that must stay in-house go to models you host, and Claude handles the tasks where its reasoning and writing make the difference. Both run behind the same gateway and the same log.
How do we start a Claude project?
Book a 30-minute AI readiness call. We look at one workflow with you: what an agent could take on, what it should not, and what the data needs first.
Building on Claude? Start with a 30-minute AI readiness call.
Tell us what you are trying to do. We will tell you what we have built on the same platform and what it would take.