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Relai

Put AI to work in yourbusiness.

Relai is an AI consulting practice in New York and Long Island. We build the systems small professional-service firms don’t have in-house: architecture and engineering, accounting, property management, and recruiting. The kind that give hours back every week and take manual work off senior staff.

Request an intro callhello@relaiconsulting.com

What we build

Three kinds of problems we solve.

Each one is backed by something already built, deployed, and running. Not a list of things we could try.

These are the problems we’ve already solved, not the only ones we can. Every engagement starts with a conversation about where your business is actually losing time or money, and we build whatever fixes it.

01 · Operational tools

Operational dashboards and internal AI tools.

The software a business needs but never gets around to building. One view of the whole operation, an assistant that actually knows your documents, and the systems you already pay for finally talking to each other. Internal tools, shaped around the way your team already works.

Proof

Everything above is in production today, not a roadmap. An assistant answering questions off a client’s own documents, a dashboard their team opens every morning, and accounting and mail finally reporting into one place.

    • Trained on your documents, your processes, your language
    • Retrieval plus tool access to live data
    • One view across the whole operation
    • Role-based access for your team
    • QuickBooks and Gmail, already running for a client
    • Stripe, Slack, HubSpot, Drive, or anything else with an API

02 · Data & workflow

Data extraction and workflow automation.

The repetitive lookups and re-typing that quietly eat hours every week. Pulling records out of a portal one at a time, moving the same numbers between systems, checking a source that changes whenever it feels like it. We automate the loop and put a check on every step of it.

Proof

Built to replace lookups that were being done by hand, one record at a time, in a portal that was never designed to give its data up. 260+ records processed so far with zero errors.

    • Portals and sites read the way a person would read them
    • 260+ records pulled so far with zero errors
    • Sources re-checked without anyone asking
    • Changes surface as they happen
    • Reports built from what actually changed
    • Nothing re-keyed between systems

03 · Outreach & lead gen

AI-driven outreach and lead generation.

Systems that find the right prospects and reach them. Qualification rules you can read, messages you can inspect before they send, and hard limits on what goes out. Not an agency black box. A system you own and can see inside of.

In practice

We built this one for ourselves. It sources prospects from Google Places and public records, qualifies them by loading their actual sites with Puppeteer, and sends personalized outreach behind built-in failure-safety limits. It generates our own leads today, and it works well enough that we now build versions of it for clients too.

    • Listings pulled and de-duplicated
    • Filtered down to a real target list
    • Every site loaded and scored with Puppeteer
    • Poor fits dropped before outreach
    • Written per prospect, not per template
    • Hard send limits and kill switches

Under the hood

All three run on the same foundation. Retrieval that stays current, agents that can actually call your systems, data pulled out of portals that were never built to share it, and monitoring so you hear about a problem from us first.

  • RAG pipelines
  • Tool-using agents
  • Document processing
  • Browser automation & data extraction
  • Systems integration
  • Monitoring & observability
  • Secure access & data handling
  • On-site or cloud deployment

Websites

We also design and build websites: fast, mobile-friendly sites for local businesses and community groups, and fixes for sites that are broken, outdated, or hard to use on a phone.

See websites we’ve built

Quick fit check

Would AI actually help here?

Four questions. An honest answer in under a minute.

A closer look

Here’s what that actually looked like for one client.

Saghari Architectural Services (opens in a new tab)

Structural engineering · New York City

From spreadsheets and compliance reminders to the software the firm depends on.

650+
Properties monitored
18,900+
Documents indexed
250+
Filings extracted with zero errors

What we built

    • Unified property + client view
    • Role-based access
    • Indexed project documents
    • Natural-language retrieval
    • Trained on firm’s own data
    • In production at the firm
    • Automated filing tracking
    • Deadline monitoring
    • Automated data scraping
    • Report generation
Read the full case study

How we work

Four steps, no mystery.

No packages and no per-seat pricing. Engagements are scoped to what your business actually needs.

01

A conversation. You walk us through how the business runs, on a call or in person around New York.

02

A proposal. What we’d build, what it costs, and where it runs. Your own server or the cloud, depending on how private your data needs to be.

03

A paid pilot, run side by side. We automate one process first. It runs in parallel with how you work today for two to four weeks, and we compare the outputs before anything switches over. If it misses the targets we agreed on, we fix it at no charge.

04

Build, hand off, support. Working software in production, refined with your team. You own the code, the data, and the accounts, with written documentation. We stay involved after it ships.

Least-privilege access, multi-factor authentication, and your data stays in accounts you own. Security summary available on request.

FAQ

Questions worth asking before you book a call.

That’s what the first conversation is for. You walk us through how the business runs, on a call or in person around New York, and we look for where it’s actually losing time or money. If we see a process worth automating, the proposal spells out what we’d build, what it costs, and where it runs. Either way, we’ll tell you what AI can honestly do for it.

That depends on what we’re building, and we won’t guess at it before the conversation. The one part we can put a window on is the pilot’s side-by-side run. We automate one process first, and it runs in parallel with how you work today for two to four weeks. We compare the outputs before anything switches over, and everything after that is scoped to what your business actually needs, not to a package.

No. We build the systems small professional-service firms don’t have in-house, and we stay involved after they ship. You own the code, the data, and the accounts, with written documentation. Engagements are scoped to what your business actually needs, and the conversation is where we work that out.

Your data stays in accounts you own. Where it runs is set out in the proposal: your own server or the cloud, depending on how private your data needs to be. Access is least-privilege with multi-factor authentication. If you need the detail in writing, a security summary is available on request.

There are no packages and no per-seat pricing, so there isn’t a number to quote before the conversation. After that conversation, you get a proposal that says what we’d build, what it costs, and where it runs, scoped to what your business actually needs. The pilot is paid, and it automates one process before we go further. If it misses the targets we agreed on, we fix it at no charge.

That’s what the side-by-side pilot is for. We automate one process first, and it runs in parallel with how you work today for two to four weeks, so what you rely on now keeps running. We compare the outputs before anything switches over. If the pilot misses the targets we agreed on, we fix it at no charge.

Answers pull only from what’s on this page and in our case study. For anything else, book a call.

Contact

Tell us how your business runs. We’ll tell you what AI can honestly do for it.

Request an intro callhello@relaiconsulting.com