AI Consulting in Brooklyn

Most first builds for small businesses land in the range of a few thousand dollars for a single, scoped automation — one workflow done right rather than a broad platform rollout. The starting point is a $99 AI readiness audit, which maps where your ops are actually leaking time and money before any build decision gets made. That audit often surfaces a single high-leverage workflow: a customer support triage build for a DTC brand, a client intake pipeline for an indie agency, or an after-hours lead responder for a small law firm. From there, the build is fixed-price with a defined scope — no hourly billing, no open-ended retainer before you've seen what we can do. For businesses that want to pressure-test fit first, the $497 Founder Review Call is ninety minutes with the founder, a written prioritization memo, and no obligation to build anything.

No. Automations run on server time, not your laptop, so a customer support queue or lead intake flow works the same at 3am EST as it does at noon. For Brooklyn teams managing client relationships across Latin American time zones — whether that's Colombia, Mexico, or Argentina — this is actually where automation earns its keep. An after-hours inquiry that comes in at 7pm Buenos Aires time hits a response flow immediately instead of sitting in an inbox until your New York team is back online the next morning. Scheduling automations can be configured to offer availability windows that reflect both sides of the relationship, and communication workflows can be set to trigger in the client's local business hours. The setup requires knowing the relevant time zones upfront, which we capture during scoping — it's not a complicated addition, just one that needs to be deliberate.

Yes, and they vary by sector. For legal practices in Brooklyn, New York's attorney conduct rules under the Rules of Professional Conduct — particularly around confidentiality (Rule 1.6) and supervision of nonlawyer assistance (Rule 5.3) — apply to any AI tool touching client matters. We build law firm automations with those rules in their documentation from the start, not bolted on after. For food and CPG businesses, New York State Department of Agriculture and Markets regulations layer on top of federal FDA requirements — labeling review and co-packer documentation workflows need to account for state-specific requirements, not just federal ones. For financial services or insurance-adjacent businesses, New York's DFS licensing framework affects what automated communications can say and to whom. We ask about regulatory environment during the audit because the right build for a Brooklyn food startup looks different than the right build for a Park Slope immigration law practice. One-size automation doesn't work when the compliance surface varies this much.

Yes. Shopify, QuickBooks, and Squarespace all have documented APIs and are common parts of the Brooklyn DTC and small-business stack. A customer ops automation for a Shopify storefront can pull order data, tag tickets by issue type, and update order notes without anyone manually copying from one tab to another. A QuickBooks integration can trigger invoice creation when a project status changes in your project management tool, or chase outstanding invoices on a schedule without the owner doing it by hand. Squarespace form submissions can feed directly into a CRM or intake pipeline instead of arriving as raw emails. The audit phase maps which of your existing tools are the right integration points and which ones are better replaced with something cleaner — sometimes the bottleneck isn't missing automation, it's that two of the tools in the stack are redundant and the workarounds are the real time sink. We build to your existing stack first, and only recommend swapping tools when the case is clear.

Most single-workflow builds ship in two to four weeks from scoping sign-off. The audit comes first — that's a $99 report delivered within a few business days that maps where the real bottlenecks are. Once you've picked a workflow to build, we scope it with a fixed price and a defined timeline before any work starts. Build week one is integration setup and core logic — connecting to your tools, standing up the workflow, testing against real data from your environment. Week two is edge case handling and your review round: you break it, we fix it, until the behavior matches what was scoped. Go-live is documented so your team knows what the automation does and what to do when something unexpected happens. Post-launch, we offer a small monthly retainer for teams that want ongoing tuning and support, but it's not required. Some clients ship one build and manage it themselves. That's a legitimate outcome — we'd rather build something you can own than something you depend on us to operate indefinitely.