AI agents that carry out real multi-step work in onboarding, claims and leasing, with the approvals and audit trails a regulated New York business needs.
New York runs on regulated, document-heavy work: onboarding clients, pricing risk, handling claims and managing leases. It is where AI has the most work to do, and the highest bar for control.
Scoped accessEach agent reaches only the systems it needs.
Every step loggedCompliance can see what it did and why.
People sign offAnything with regulatory weight waits for approval.
Our work
Projects we've delivered across industries
Real projects for real clients, one case study at a time.
Custom standalone agents built for a specific job, such as customer support agents, sales or lead qualification agents, research agents, and voice agents.
Multi-agent systems that run end-to-end business processes like invoice processing, onboarding, report generation, and approval flows. This includes the orchestration, tools, and human-in-the-loop steps.
Adding agentic capabilities to the apps, ERPs, CRMs, and websites you already use. It also covers RAG over your own data, so answers come from your documents, and connections to your APIs and databases.
Built for New York rules
Regulations we design around
Banks, insurers, DFS-licensed firms
Part 500
Access controls, MFA and audit trails on every system AI touches.
Anyone holding New Yorkers' data
SHIELD Act
Reasonable safeguards for the private data AI systems read and write.
Hiring for NYC roles
Local Law 144
Bias audit and candidate notice for tools that score or rank candidates.
Insurers
Circular Letter 7
Governance, testing and fairness checks for AI in underwriting and pricing.
Healthcare providers, plans and their vendors
HIPAA
Safeguards and a business associate agreement for anything touching patient data.
Working together · Eastern Time
Working with us from New York
Your morning is our evening, so we meet live at the start of your day and build while you sleep.
8–10 AM ETLive callReview progress and make decisions together
Your working dayYour feedbackYour team tests and comments in writing
Overnight ETWe buildProgress is ready for your next morning
Want to see how a week with us would look?
Tell us your hours and your project, and we'll plan the live time around your day.
Can DFS-regulated firms in New York use AI agents?
Yes, with the right controls. We design agents to fit Part 500 expectations: least-privilege access, multi-factor authentication on the systems they touch, full activity logs, and human approval for high-impact steps. Your compliance team keeps the final say on what an agent may do.
Can agents help with hiring for New York City roles?
They can take on the administrative work, such as scheduling, collecting documents and answering candidate questions. If a tool would score or rank candidates, NYC Local Law 144 requires a bias audit and candidate notice, so we keep those decisions with people unless you plan for that audit.
What is agentic AI?
Agentic AI refers to AI systems that can plan and carry out multi-step tasks using tools, such as searching documents, updating records or calling APIs, rather than only answering a single question.
How do you keep AI agents safe in production?
Agents get only the permissions they need, every action is logged, and high-impact steps go to a person for approval. We also test agents against real scenarios and monitor them after launch.
Can agents work with our existing ERP and CRM?
Yes. We integrate agents with the systems you already run through their APIs, databases or connectors, so there is no need to replace your core platforms.
Do we need to replace our current software?
No. Agents work inside the apps, ERPs, CRMs and websites you already use.
Can your agents handle phone calls and WhatsApp?
Yes. We build voice agents on LLMs that answer and make phone calls, and chat agents for WhatsApp, your website and your apps.
What happens when the agent is not sure?
It hands the task to a person on your team, with everything it has done so far, so nobody has to start again.
How long does it take to build an agent?
A single agent for one job, like answering support questions or qualifying leads, usually takes 2 to 4 weeks. A workflow that runs across several systems, like invoice processing from email to ERP, usually takes 6 to 10 weeks. The time depends mostly on how many systems the agent connects to, how clean your data is, and how many approval steps it needs. We often start with a 2-week pilot on one process, so you can see it working on your real cases before committing to more.
