A back office in Midtown reconciling trade confirmations, a law firm on Wall Street sorting through discovery documents, and an ad agency in SoHo chasing campaign approvals all share the same bottleneck: too much of the work still runs through a person's inbox. Zethic's AI Workflow Automation Services US practice replaces that layer in New York with agents, document pipelines, and integrations built by senior engineers who hand over complete ownership once the system is live.
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80+
Workflows Automated
60+
Engineers In-House
96%
Client Retention
Three starting points, mapped to how New York teams operate.
What we automate, in New York.
Zethic designs and operates AI Workflow Automation Services in New York for teams anywhere between a single manual bottleneck and a connected, multi-agent platform.
A structured review of process, document volume, and realistic ROI.
Process reviewDocument volume auditROI assessmentDiscovery-first
A structured review of your current process, document volume, and realistic ROI, using the discovery approach behind our AI consulting and audit services, before any build commitment.
AI classification for contracts and correspondence bots cannot read.
AI classificationContracts & filingsCorrespondenceBeyond RPA
AI classification combined with rule logic handles unstructured contracts, filings, and correspondence that traditional bots common in New York's legal and finance firms cannot process reliably.
Agents that flag risk indicators across multi-step review chains.
GuardrailsEval harnessesDecision logsRisk flagging
Agents interpret contract language, flag risk indicators, and recommend approvals across multi-step review chains, shipped with guardrails, eval harnesses, and full decision logs.
Structured data with confidence scoring on the uncertain cases.
Trade confirmationsClient contractsCompliance filingsConfidence scoring
Extraction and validation pipelines turn trade confirmations, client contracts, and compliance filings into structured data, with confidence scoring for cases that need a human look.
CRM, DMS and settlement connectors with resilient error handling.
CRM connectorsDMS integrationSettlement platformsResilient error handling
We connect CRM, document management systems, and settlement platforms with resilient error handling, an approach detailed further in our data engineering services.
Scheduled pipelines instead of a spreadsheet rebuilt every week.
Client reportsCompliance reportsDashboardsEnds weekly rebuilds
Scheduled pipelines replace manually assembled client and compliance reports, pushing results to a dashboard instead of a spreadsheet rebuilt every week.
Added where the paperwork is heaviest first.Every engagement starts with the process costing the most today.
A closer look, at what teams are automating.
Finance, legal, and media operations each have their own document rhythm, but the underlying build approach stays consistent across every engagement, including the connector work behind our banking software development services.
Replace the reconciliation spreadsheet with a system that checks itself.
Extraction and three-way matching across high-volume trade confirmations, with exception routing for genuine mismatches rather than a blanket manual review.
OCR and AI classification that turn contracts, discovery documents, and correspondence into structured, validated data for legal teams.
Document collection, compliance checks, and CRM provisioning handled end-to-end instead of over scattered email threads.
Where billing, renewals, and proposals actually move.
Renewal tracking and billing workflows that run on schedule and escalate only the cases that genuinely need a human, common across professional services firms.
Agentic workflows that assemble proposals and engagement letters from templates and pricing rules, with approval recommendations built in.
Multi-step approval chains for media and advertising campaigns, replacing the email thread that usually stalls a launch.
What clients, partners, and case teams actually touch.
Agentic classification of inbound client communications by intent and urgency, routed to the right team within seconds.
Scheduled extraction and submission with a full audit trail, the same pattern behind how to build a FinTech app with AI.
Automated pipelines that push case or client status to a live dashboard instead of a status update assembled by hand.
Who we serve in New York.
Why teams pick us in New York.
Understanding how a contract, filing, or trade confirmation actually moves through your firm means the architecture we propose is scoped to your real volume, not an assumed one.
Everything we build lives inside your own accounts, so your New York team can operate and extend the system independently after we hand over.
A fast system that misreads a contract clause or misroutes a filing is a real liability in finance and legal work, not a minor inconvenience. We test against your actual documents before anything reaches production.
Senior engineers stay through the entire build, so a claim of senior delivery holds up well past the pitch meeting.
A four-part path from first call to live system. A ranked target list, working demos, and benchmarked accuracy before go-live.
Book a Call{ 01 }· 4-8 weeks total
We trace inputs, decision points, exception paths, and integration touchpoints across your New York operation, then deliver a ranked target list and a realistic delivery scope.
{ 02 }· 2-week sprints
Extraction pipelines, agent logic, connectors, and monitoring get built in two-week sprints, with a working demo shown in a staging environment that mirrors actual production systems.
{ 03 }· Pre-launch
We test the system against your real contracts, filings, or trade confirmations, measure results against agreed benchmarks, and resolve edge cases with your team before go-live.
{ 04 }· Post-launch
A staged rollout with real-time monitoring and an on-call handover, followed by ongoing tuning of models and routing logic based on live signals from your New York operations.
Engagement models, built to fit.
A single workflow build is generally priced as a fixed scope for a four-to-eight-week delivery window, quoted after a short assessment call rather than before we understand your document volume.
A single workflow scoped after a short assessment call and delivered as a fixed price within four to eight weeks, with a working demo every two weeks.
An embedded senior pod for finance, legal, and media teams that keeps building as practice groups and document volume grow — no rebuild between phases.
Questions, answered.
Yes. Trade confirmation matching, contract review, and compliance reporting are a regular part of our AI process automation in New York engagements with finance and legal clients.
Yes. iManage, NetDocuments, Salesforce, and settlement systems common across New York's professional services sector are integrated with proper error handling and schema validation.
A single workflow typically reaches production in four to eight weeks from the first assessment call, with a working demo every two weeks so progress stays visible.
Yes. SOC 2 posture, audit trails, and PII handling are built into the architecture from the first sprint, a standard expectation for an AI Workflow Automation Company in New York working with regulated clients.
Yes. We run initial assessment sessions on-site for New York clients on request, then move to remote sprint delivery with weekly demos for the build phase.
A single workflow build is generally priced as a fixed scope for a four-to-eight-week delivery window, quoted after a short assessment call rather than before we understand your document volume.
Yes. Multi-step campaign approval chains, common across New York's advertising and media firms, are handled with configurable rule sets and full decision trails, alongside our creative marketing services.
Yes. A meaningful share of our New York clients are law firms and financial services companies automating client onboarding, billing, and renewal workflows across multiple practice groups or business lines.
Yes. New York is one of several city practices — our AI workflow automation services in Philadelphia team runs the same six-week first-workflow cadence, and both sit under our wider AI workflow automation services practice.
Start with the process costing the most today. Book a short assessment call and leave with a ranked automation target list and a realistic timeline.
Book a Call
A short assessment call to map your process, systems, and compliance needs — no blind quoting.
Get Your Roadmap
You leave with a ranked automation target list and a realistic delivery scope.
Ship the First Workflow
A working first workflow live inside about six weeks, with demos every two weeks.
Start with the process costing the most today. Book a short assessment call and leave with a ranked automation target list and a realistic timeline.
