Princeton IT Services
AI Agents
Agents that watch for work and act within limits
Services / AI Consulting
AI that does real work, on the device, in your data centre or in the cloud.
We help you pick the workflows worth automating, build the agents that run them, and decide where each model should run for cost, speed and privacy. Every agent ships with a safety gateway and a log of everything it did.
- 12
- agents in production or pilot
- 11×
- faster: a local 30B model against a 120B, with the same verdicts
- 100%
- of our agents ship with a safety gateway and activity log
Agentic AI
Agents that watch for work, act within limits and hand off the rest
An agent watches an inbox, a folder or a schedule, acts within rules you set and asks a person when it should. We build them on Copilot Studio, Azure, Claude and local models, one bounded job at a time.
More on AI Agents →How we build AI agents with Claude →What we do
- Discovery sprint: one bounded job and a clear success measure
- Pilot on your real documents with a reviewer in the loop
- Production with least-privilege access and full activity logs
- Ongoing tuning as your documents and processes change
Hybrid AI
The right model in the right place
Not every task needs the largest cloud model. A routing policy sends sensitive work to models you host, keeps quick tasks close to users and uses the cloud when a job needs its scale. We measure accuracy, speed and cost on your own workload before recommending a split.
How we route work between tiers →What we do
- Sensitive data stays on hardware you control
- The smallest model that passes your accuracy test
- Cloud only where it adds capability
- One activity log across every tier
AI on Edge
AI that runs on the laptop, the branch server or the shop floor
Small language models now run well on ordinary business hardware. On-device AI works offline, responds instantly and never sends the document anywhere. We size the hardware, tune the model for the task and supply the equipment through Tech365.
When on-device AI is the right call →What we do
- Document extraction and redaction on a standard laptop
- Desktop AI systems for departmental batch work
- Works without a network connection
- Hardware sourced, set up and supported by our group
In depth
More on AI Consulting
Microsoft Copilot
Copilot rolled out on data that is ready for it
Case studies
AI Consulting in practice
Client names are withheld. We are happy to share details on a call.
- In production
Hours → minutes
Food manufacturing
AI ConsultingDocument intake agent for a national food cooperative
A Copilot Studio agent reads certificates of analysis as they arrive in the quality team's inbox, extracts 14 fields with AI Builder, checks them, files the PDF in SharePoint and posts a summary in Teams. Fields it is unsure about go to a person instead of being guessed.
Hours of daily filing down to minutes- 14 fields per document, validated
- Internal project
2,000 → 50 a day
Public-sector sales
AI ConsultingProcurement triage on a local 30B model
Logs in to five government procurement portals each morning, reads about 2,000 listings, parses the bid documents and emails a short list of the 20 to 50 worth quoting. Every model call runs on one desktop AI system in our office.
- 2,000 listings down to about 50 a day
- 11× faster than a 120B model, same verdicts
- 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
- In delivery
4 systems, 1 record
Food manufacturing
AI ConsultingOne customer record across four business systems for a national food cooperative
Wholesale customers sign up in the online store, are approved in the CRM, copied to the ERP and marketed to from a separate platform, and changes made by phone reached none of the others. The workflow keeps customer records, approvals, order history and profile changes in step across all four, and flags anything that needs a person.
- Four systems, one customer record
- Exceptions routed to a named reviewer
- Delivered
KPIs on request
Food manufacturing
AI ConsultingMarketing performance agent for a national food cooperative
Marketing staff ask about paid-media results in plain English. The agent reads campaign data from SharePoint, runs the calculations in Python on Azure Functions rather than summarizing, and returns charts and Word or Excel reports.
- Campaign KPIs without waiting for an analyst
- Secure access with managed identity, no stored passwords
- Proof of concept
Invoices → rows
Hospitality
AI ConsultingBack-office agent pilots for a luxury resort
A resort with separate food and beverage, retail, spa and golf operations asked where agents could take paperwork off its staff. We built pilots that turn supplier invoices into structured spreadsheets and check supplier documents for missing or mismatched values.
- Invoices turned into clean spreadsheet rows
- Mismatches highlighted for review
From the blog
Writing on AI Consulting
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October 16, 2026
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August 13, 2026
Related services
Often paired with
Data Analytics
Trusted data, reports and analytics agents
Microsoft Consulting
Fabric, Azure, security and SharePoint
Cloud Consulting
Move to the cloud, build for it
On-site IT support across New Jersey, New York City and Philadelphia. Remote services wherever you are. Areas we serve →
Bring us one workflow that eats a skilled person's morning.
In a 30-minute call we will tell you what an agent can take on, what needs a reviewer, and what the data needs first.
Tell us what you are working on
A few lines is enough. The engineers who do this work will reply within one business day.
Or email it.services@princetonits.com or call +1 (212) 507-9350.