AI consultants and marketing experts in Toronto, in Boston, in Cairo, in Dubai.

Nezam AI is an AI consulting firm headquartered in Toronto, with offices in Boston, Cairo, and Dubai, working for property managers, brokerages, developers, trades, and professional services. We take our name from نظام, the Arabic word for the system. We are not an advisory: we design, build, and operate the systems a business runs on, and we run the marketing that feeds them, from search and campaigns to the sites and video behind them.

About Nezam AI: AI consultants and marketing experts in Toronto, Boston, Cairo, and Dubai

Nezam takes its name from نظام, the Arabic word for the system. We are an AI consulting firm headquartered in Toronto, with offices in Boston, Cairo, and Dubai, working for property managers, brokerages, developers, trades, and professional services. We design, build, and operate the systems they run on, and we run the marketing that feeds them: search, campaigns, sites, video, and the reporting underneath.

Not an advisory: implementation and operations, run end to end and still run by us a year later. The name is the standard: order that holds up without us in the room. The full shape of the practice is on our AI consulting in Toronto page, and the US side of it on AI consulting in Boston.

Why hire Nezam AI?

Because the person who does your audit runs a property management and brokerage business in Toronto and put AI into his own operation before offering it to anyone else. Ahmed still takes the 11pm maintenance call, so the plan you get back ranks the work by what it pays back in a real office. The proof is on the record: in a Toronto property management and brokerage operation, two AI voice agents answered 277 inbound calls without missing one, and 34 of the 130 new leads in a two week CRM export came through them. We build inside the software you already pay for, and you own the code from day one. When it ships we keep operating it, with a named person on each side. And we turn down any build whose purpose is cutting headcount, which is why your staff use what we ship instead of routing around it.

How the numbers were measured.

How we work: Audit, Build, Operate

Audit (2 weeks). We map the work end to end, sit with the people doing it, and hand back a prioritized plan of what to automate first and what to leave alone.

Build (4 to 10 weeks). Systems wired into the tools you already run, from Buildium and AppFolio to your CRM, phone line, and inbox. Auditable, explainable, reversible.

Operate (ongoing). We keep the systems running as the business changes, with a monthly cycle of refinements and a designated operator on your side who owns them.

One test runs through all three stages: ship, scale, survive. A system has to ship in weeks, scale as the door count or call volume grows, and survive contact with reality once we step back. Anything that fails one of those three does not get built.

Our founders come out of operations, not research labs. Ahmed Heshmat runs property management and real estate businesses in Toronto alongside Nezam, so the audit is done by someone who has carried a rent roll, a maintenance queue, and a payroll in the same week. Hussein Abou-Eita has spent his career building and maintaining production software that other people depend on daily. That split is why our work ends in systems people use every morning instead of a slide deck.

The team

Ahmed Heshmat (Co-founder · Chief Executive Officer)

Ahmed has spent his career in Toronto property management and real estate transactions, and he owns and operates the companies he built there. Leases, deals, staff, owners, and the 11pm maintenance call are all still his on a Tuesday. Nezam started inside those businesses: he put AI into his own operations first and watched what it did, with calls no longer going to voicemail, work that used to eat a week running in the background, and the companies growing without adding anyone to do the copying. After running it himself long enough to trust it, he built the firm to make the same thing available to every operator who does not have the time to work it out from scratch. That is why the audit is his: two weeks inside the operation, then a ranked plan of what to automate first and what to leave alone, written by someone who has reconciled a ledger to the cent, prepared for a tribunal hearing, and dispatched a trade from his own phone after hours. He is a Carleton University graduate. Most of what the firm publishes starts as his field notes from those weeks. Based in Toronto. aheshmat@nezamai.com

Hussein Abou-Eita (Co-founder · Chief Technology Officer)

Hussein co-founded Nezam and owns the engineering. Every system we ship is designed, built, and maintained under him: the integrations into Buildium, AppFolio, and Yardi, the voice agents, the platforms and sites, and the services behind them. Nothing goes live unless it's auditable, explainable, and reversible. hussein@nezamai.com

Samer Musa (Director of Sales and Marketing)

Samer leads sales and marketing at Nezam, and is how most engagements begin. He scopes the fit, runs the conversation from the first call through onboarding, and owns how the firm shows up in its markets: campaigns, events, partnerships, and the pipeline behind them. info@nezamai.com

Youssef Al Rifai (Customer Success Manager)

Youssef runs customer success at Nezam. Once a system is live he is the named contact: onboarding the operator on the client side, running the monthly improvement cycle, and picking up the phone when something drifts. He came to Nezam from corporate development and financial planning roles, a summer in investment banking at HSBC, and a Northeastern University degree in international business and finance, and he grew up in Cairo. info@nezamai.com

What we believe: Four principles

  1. Software over slides. A lot of AI consulting ends in a slide deck. Ours ends in software your team uses every day. Until a system is running in production, we don't count it as done.
  2. Owned by the client. Everything we build belongs to you from day one: the source code, the credentials, the documentation. If you ever leave, it all comes with you.
  3. Plain language. If a system can't be explained to your operations lead in a couple of paragraphs, it shouldn't be running your business. We write documentation people actually read.
  4. Steady cadence. The models get better every few months, and the systems we've shipped should get better with them. Every engagement includes a monthly cycle of improvements, measured and reported.

Four cities

Four cities, one firm. We have people in each and clients in each, and every system ships online, so being local means someone can sit in your office when it helps.

  • Toronto (Ontario and Canada). Home base, and where most of our production systems run. Property managers, brokerages, trades, and professional services across the GTA, and the rest of Canada remotely. AI consulting in Toronto.
  • Boston (Massachusetts and New England). Property managers, brokerages, contractors, and professional services across Greater Boston and New England, built under Massachusetts rules, in the same time zone as Toronto. AI consulting in Boston.
  • Cairo (Egypt). Developers, brokerages, and property managers in Cairo and across Egypt, with systems built for callers who switch between Arabic and English and for the 2025 data protection rules. AI consulting in Cairo.
  • Dubai (UAE and the Gulf). Brokerages, developers, and property managers in Dubai and across the UAE, with systems built for the PDPL, the 2024 telemarketing rules, Ejari, and the cheque cycle. AI consulting in Dubai.

Why we do this

We're not building AI-native startups, and we're not replacing anyone's team. We bring AI into businesses that already work, automating the repetitive parts so the people who run them get their hours back. Judgment, relationships, and the creative work that actually moves a business forward stay human. That's the whole point.

In practice that means Toronto property managers running Buildium, AppFolio, or Yardi across a few hundred doors, the brokerages and owners trying to fill buildings in a softer rental market, and the trades that serve both: plumbing, HVAC, electrical, appliance repair. The work is the same shape every time. Maintenance requests arriving by phone at 9pm. Leasing enquiries sitting unanswered overnight. A registration form emailing an inbox nobody opens on a Saturday. We build inside those workflows, name an operator on the client side who owns the system, and keep every decision it makes inspectable.

What we have shipped

Seven systems run in production today: voice agents, SEO and AI search, booking platforms, custom CRMs, accounting automation, operations automation, and digital marketing. Two of them have published numbers.

  • Zero missed calls, 26% of all new leads (property management and brokerage, Toronto). Two AI voice agents answer every inbound call for a Toronto property management company and its brokerage arm. Maintenance requests get triaged by the operator's own escalation rules, leasing enquiries get qualified and logged, and a named operator on the client side owns the system. Within weeks the agents were the second largest source of new leads in the business. Read the case study.
  • A booking platform that ends the commission (short term rental operator). Every reservation used to arrive through a marketplace that took a cut and owned the guest. We built the operator a booking engine, an operator portal, and a bilingual guest portal of their own. Most bookings now arrive direct, and the operator owns the data behind every one of them. Read the case study.

Also running today

Work in production without a published study behind it, either because the engagement is young or because the client's figures are theirs to release.

  • Search and AI visibility. Every page now aims at demand the team can name, and they watch performance in a dashboard that syncs itself daily rather than waiting on a monthly report. Search and AI visibility.
  • Custom CRMs. Built around jobs, quotes, scheduling and callbacks instead of an office, so fewer leads drop and the whole pipeline is visible. CRMs and automation.
  • Accounting automation. Reconciliation and reporting that used to take days, handled quietly in the background with a human checkpoint where it counts.
  • Operations automation. Automations across sales, marketing, and operations, so people stop being the integration layer between five tools.
  • Real estate and lease-up marketing. The registration page, the site behind it, tracked QR codes on hoarding and signage, paid search, consent based email, and a voice agent on the leasing line, all writing into the CRM with the source attached. How the marketing work runs.
  • Websites and web apps. Marketing sites, landing and registration pages, operator and guest portals, and full booking platforms, fast on a phone and wired so every form writes into the CRM instead of an inbox. How we build platforms.

Also in scope

Work we take on that has no case study behind it yet. Same team, same terms.

  • Document and intake automation. Applications, forms and paperwork read, checked and filed without a person retyping them into another system.
  • Tool selection and implementation. Working out which platform you should actually be running, then moving you onto it properly instead of half way.
  • Integrations. Buildium, AppFolio, GoHighLevel, Zoho, HubSpot, Salesforce, Follow Up Boss, Slack, Gmail and Google Calendar, Twilio, QuickBooks, Stripe, Notion, Zapier, Make, and whatever else is already load bearing in your stack.
  • Video and listing media. Walkthrough tours, listing and building video, and short vertical cuts for the campaign they run in, produced by the same team that builds the page they land on.
  • Naming, brand and signage. The name, the palette, and the one line that has to read from across the street, measured off the scaffold drawing before anyone quotes the print.
  • Dashboards and reporting. The weekly numbers pulled from the systems themselves, Search Console, GA4, the CRM, the phone line, so the report writes itself instead of waiting on someone's spreadsheet.
  • Migrations and data cleanup. Moving off the platform that is not working, with the records, the history and the attachments intact, and the duplicates resolved on the way through rather than after.
  • Training and handover. The named operator on your side learns the system with us, and the documentation is written for them rather than for us. That is what makes the handover real.