Built for review
Citations, decision logs, replayable traces and permission enforcement, so security and compliance can actually sign off.
AI automation for New York
AI automation for New York businesses.
We build AI automation, chatbots and agents for New York companies - with the audit trails, permissioning and evaluation that regulated industries actually require.
New York buyers are concentrated in the industries where an AI mistake is expensive: finance, insurance, legal, healthcare, media rights. The blocker is rarely capability. It is that nobody can approve a system that cannot show its work, cannot restrict who sees what, and has never been measured on anything but a vendor demo.
We build for that review. Retrieval is grounded and cited, permissions are enforced per user, every agent action is logged and replayable, and irreversible steps sit behind human approval. Before launch you get accuracy and exception numbers measured on your own historical cases, not a benchmark.
What we build for New York companies
AI automation
Document review, reconciliation, reporting and back-office workflows with per-decision logging and exception routing.
AI chatbots and assistants
Client-facing and internal assistants grounded in your own documents, with citations, permission awareness and clean escalation.
AI agents
Multi-step agents with scoped tool permissions, spend ceilings, full traces and approval gates before anything irreversible.
System automation
Integration across Salesforce, NetSuite, document management and internal platforms with contract tests and reconciliation.
Why New York teams work with us
Your cloud, your controls
Deployed into your own AWS, Azure or GCP account. Self-hosted models where data must not reach a third-party API.
Measured, not demoed
Accuracy, exception rate and cost per task benchmarked on your real historical cases and published before rollout.
You own it
Source code, infrastructure and documentation handed over. No subscription keeps your process hostage.
Sectors we work with in New York
Financial services
Reconciliation, KYC and document review with complete audit trails and permissioned retrieval.
Insurance
Claims intake, document extraction and exception routing with confidence thresholds.
Legal and professional services
Contract review support, document search and drafting assistants grounded in your own precedent.
Media and publishing
Rights and metadata automation, archive search and editorial support assistants.
Real estate
Lease abstraction, portfolio reporting and lead qualification.
Healthcare
Referral intake, prior authorisation packets and claims scrubbing with staff review on exceptions.
Trusted to ship AI across the world's operational industries
ManufacturingLogisticsEnergyHealthcareFinanceSmart CitiesAgricultureRetailAerospaceTelecomMiningPublic SectorManufacturingLogisticsEnergyHealthcareFinanceSmart CitiesAgricultureRetailAerospaceTelecomMiningPublic Sector
AI automation in New York - common questions
Can your systems pass a security review?
That is what they are built for. Deployment sits in your own cloud account, access is scoped per user, retrieval respects existing document permissions, and every agent action is logged in a replayable trace. Your security team reviews infrastructure they control.
Do you have a New York office?
No. We are a remote-first engineering team working US Eastern hours, delivering over video. If your procurement requires an onshore supplier or on-site work, we will tell you at the first call rather than at contract.
How do you prevent the model making things up?
Answers are grounded in retrieved source content with citations, confidence thresholds trigger escalation rather than a guess, and an evaluation suite runs before every release to catch regressions.
Do we own the code?
Yes, outright, along with the infrastructure definitions and documentation. Another team can take it over at any point without paying us or a platform vendor.
What does the first phase look like?
Process mapping and baselining, then a pilot on your real historical data with published accuracy and exception rates. Three to five weeks to that result, before any rollout commitment.
Let's build
Have an idea? We'll ship it.
Tell us the problem. We'll come back with an architecture, a timeline and a team ready to build it in production.