AI operations for property management + professional services
Built for property management firms and professional services practices across Canada and the United States.

AI built around how your team actually thinks, remembers, and decides.

Production-grade systems, founder-led from scope to ship. $5K Discovery Sprint plans your first build, or diagnoses what went wrong with the AI you already bought. $35K–$50K six-week build, written pilot guarantee.

Book a Discovery Sprint See how it works

Fixed fee. Six weeks. If I miss pilot-week metrics, the pilot and rollout milestones are forgiven, roughly two-thirds of the build fee. If a workflow breaks in the first 90 days after launch, I fix it free. Read the full guarantee →

Not ready to book? Request a free sample audit to see exactly what the Sprint delivers →

6wk
Contract to live system
$5K
Discovery Sprint
8h/wk
Owner hours returned (target)
Up to 70%less time on maintenance triage Up to 80%less time on owner monthly reports 8 h/wkowner hours returned Up to 65%less time on client intake Up to $90Ksenior time reallocated per year 6 weekscontract to a live system
01 / The cost of the status quo

The numbers behind your busiest week.

Across property management and professional services, the operations research lands in the same place. Owners and senior staff spend most of their week on work AI can handle, while the client-facing and revenue-generating work that grows a firm waits. Here are the four numbers I benchmark every build against.

58%
of knowledge worker time on “work about work”

The operational drag on skilled talent

Asana’s Anatomy of Work benchmark puts knowledge worker time at 58% on “work about work”: status reports, manual tracking, data entry, admin. The remainder is the client-facing and revenue-generating work they were actually hired for. In property management and professional services, that 58% is mostly senior time spent on tasks that should never reach a senior desk.

Source / Asana Anatomy of Work Index
$47K
estimated annual drag per admin-heavy role

What admin work actually costs you

Industry estimates put administrative friction on admin-heavy roles in the $40K to $60K range per person per year, with $47K a common midpoint. When managing partners, fee earners, and property managers absorb these tasks instead of client-facing and revenue-generating work, that drag compounds. A mid-sized firm loses hundreds of thousands a year in senior time on work that should be automated.

Source / Composite of public productivity research
15min
speed-to-lead threshold for inbound win rates

Leads go cold while you’re heads-down

Modern B2B benchmarks put the inbound response window at roughly 15 minutes before win rates start dropping fast. Response times at most firms run hours because the first-touch workflow lives across email, Slack, the management system, and whoever sees it first. You lose most new clients before anyone books the first call.

Source / Modern B2B sales benchmarks (Drift, Chili Piper)
12–18mo
typical enterprise consultancy deployment cycle

Why slow rollouts lose

Enterprise tech consultancies typically run 12-to-18-month deployment cycles on six-figure software contracts. In an AI market that moves quarter by quarter, that lag costs you the market. By the time a Big Four engagement finishes scoping, a productized build can be live, in use, and on its second improvement.

Source / Industry observations across enterprise tech deployments
02 / How it works

Three phases. Same shape every time.

Two weeks to a written roadmap. Six weeks from build kickoff to a live system. Fixed deliverables, fixed cost, clear exit point. No 60-page strategy decks.

Built for property management firms (25–500 units) and professional services practices (4–25 fee earners). Solo operators and sub-4-person teams: see the fit block below before booking.

01 / Discovery Sprint $5K USD · Weeks 1 to 2

Audit + roadmap

For firms that know something is eating the week but are not sure what to build first, or that have AI in place that is half-working and need an honest diagnosis. I sit with your senior team, time-track the work, and hand you a ranked roadmap of what to automate first, what to skip, and what each build costs. The roadmap is yours either way.

  • Senior-team time-and-motion report
  • Ranked roadmap with effort and ROI estimates
  • Stack map of your current tools and the integration gaps
  • Fixed quote for the build phase
Sprint fee credits toward the build if you continue.
02 / Build $35K–$50K USD · Weeks 3 to 8

One production system, shipped

Build the system from the Sprint roadmap. Weekly demos to the owner and lead contact. Pilot in week 5 against agreed metrics. Rollout and training in weeks 7 and 8. Live and in use by day 56. Owned end to end.

  • Configured, integrated, deployed system
  • Pilot in week 5 against written metrics; pilot and rollout milestones forgiven if metrics miss
  • Two recorded training sessions for your staff
  • 90-day continuity guarantee: if a workflow breaks, I fix it free
Owned by you.
03 / Retainer $3K–$5K USD/mo · Optional

Maintained, retrained, improved

Optional. I monitor the systems I shipped, retrain them as your firm changes, and ship one improvement per month. Cancel anytime with 30 days’ notice. Even without the retainer, the 90-day continuity guarantee stays in force.

  • Monthly KPI dashboard
  • One enhancement shipped per month
  • Integration maintenance and upgrades
  • Quarterly strategy review with the owner
30 days’ notice to cancel.

Every engagement starts with a Discovery Sprint.

Book a Discovery Sprint call

Who this is for

This is for you if

  • You run a property management firm (25 to 500 units) or a professional services practice (4 to 25 fee earners)
  • You’re the owner or managing partner and you’re still in every senior workflow
  • You’re on a property management system (AppFolio, Buildium, Yardi) or a practice management tool (Clio, PracticePanther, QuickBooks, Xero)
  • Senior staff are spending hours weekly on intake, triage, reporting, or admin work that should be automated
  • You want to give your team their week back

This isn’t for you if

  • Your team is under 4 people. Off-the-shelf tools fit your scale better.
  • You want a strategy deck. I build working systems, not decks.
  • You want to replace staff with AI. Every system I build keeps a person in the loop.
  • You want a guarantee with no agreed success metrics. I write them into every SoW before a build starts. The Sprint is what establishes them if you don’t have them yet.

Not sure which column you’re in? Send a one-line email to hello@advanceops.ai. Honest answer, same day.

Founding clients · Pilot guarantee, in writing

I'm taking my first three founding clients.

Going first means risk. The pilot guarantee is how I share it. Success metrics are agreed in the Statement of Work before any build begins. The build fee is paid across three milestones, signing then pilot then rollout. If pilot week does not hit the agreed metrics, the pilot and rollout milestones are forgiven; you owe only the signing milestone, roughly a third of the build. You do not owe the retainer, and you keep every piece of work product produced to that point. That is the floor, and it is the rule on day one rather than the argument on day forty.

Three founding slots, two tiers, then the public list goes live.

Slot 1 (anchor): $2.5K Sprint, $30K USD build, $2.5K USD/mo retainer for the first six months. The trade: a full named case study with before-and-after numbers, a recorded retrospective, a quoted testimonial on this site, and a 90-day post-launch debrief. One slot only.

Slots 2 and 3 (follow-on): $4K Sprint, $32K to $35K USD build, same retainer rate. The trade: case-study rights (named or anonymous, your call) and a written retrospective.

Cohort closes at three signed Sprints or when the public list launches, whichever comes first. Public list rates: $5K Sprint, $35K–$50K USD build, $3K–$5K USD/mo retainer.

Written success metrics, agreed upfront Sprint fee credited toward build Founder led, no handoff 90-day continuity guarantee in writing
Claim a founding slot
03 / What you can build

One lead build. Four more on the same architecture.

Of the five build patterns, communications and intake triage is the one I lead with: it is the most common pain and the strongest dollar ROI for firms your size. The other four are scoped during the Sprint and built when you are ready. Each is scoped around the hours of senior time it returns. The tools underneath are an implementation detail. Every build is trained on your past work, your tone, and the data already in your stack, so the output reads like your senior team produced it.

Build 01 / Inbound communications $35K–$50K USD · Optional retainer

Communications and intake triage

A trained AI system that triages inbound requests, qualifies new matters or maintenance requests, routes them to the right team member, and handles follow-ups across email and your management system. Returns 6–10 hours per week to the owner and senior team. Only judgment calls go to a human.

  • Targets up to 70% less time on intake and triage, 6–10 h/wk owner hours back
  • Plugs into AppFolio, Buildium, Clio, PracticePanther, or your management system of choice
  • Human handoff for any judgment call or escalation
Built for / Property management firms / Law firms / Accounting practices

Also available, built the same way

Same $35K–$50K range, same six-week timeline, same pilot guarantee. I scope each one in the Sprint.

  • Build 02 / Reporting

    Monthly reports, drafted for you

    Pulls from your property management system, time tracker, or billing tool to draft a branded monthly report per property owner or matter client. Your review before anything sends. Targets up to 80% less time per report.

  • Build 03 / Operational dashboards

    Portfolio health and practice analytics

    Live dashboards for the numbers that matter: portfolio occupancy and maintenance cost trends, or matter profitability and billing health. Pulled from your management system with plain-English commentary.

  • Build 04 / Document and knowledge workflows

    Summaries, SOPs, and compliance checks

    Answers staff questions from your SOPs, drafts lease summaries or matter briefs, flags compliance risks early, and keeps your internal knowledge searchable.

  • Build 05 / Portfolio and client growth

    Renewals, retention, and expansion intelligence

    Renewal and retention alerts 60 days out. Expansion opportunities flagged from inbound requests and activity patterns. Drafts the owner portfolio review or client matter review before your next quarterly call.

Under the hood

Every build runs the same four-layer pipeline.

Every system I ship runs four layers: retrieval, a confidence gate, an orchestration runtime, and a monitoring loop.

Layer 01 / Retrieval (RAG)

Grounded in your actual data

I chunk, embed, and index your documents (SOPs, past work, leases, matter files) in a vector store. At query time, I retrieve the most relevant passages by semantic similarity and inject them into the system prompt. The model works from what you have on file, not from what it guesses.

Embedding: text-embedding-3-large or Claude equivalent Chunk strategy tuned per doc type (sliding window, paragraph-boundary) Retrieval re-ranked by recency and semantic score before injection
Layer 02 / Confidence + escalation

Every failure mode named before launch

I score every output before it routes. Low-confidence outputs, ambiguous intent, and anything matching a hard escalation rule (legal advice, financial commitments, complaints, safety) go to a human queue with full context attached. I write the escalation rules into the Statement of Work and regression-test them in pilot week.

Semantic entropy as a proxy for output confidence Keyword and intent classifier for hard-rule escalation paths Every escalation logged with full conversation history attached
Layer 03 / Orchestration

Named states, defined rollbacks

Each automation is one named pipeline: a trigger fires, the input gets classified, retrieved against, drafted, validated, then routed. Inputs and outputs are typed at every step. I never ship an automation without a rollback path. Built on n8n, Power Automate, or custom async Python depending on your stack.

Every step has a named state and typed I/O contract Retry with exponential back-off on transient API failures Dead-letter queue: failed runs surfaced to a human, never silently dropped
Layer 04 / Evaluation + monitoring

Baselines before launch, drift checks after

I agree success metrics in writing before any build begins. I measure baselines in the Discovery Sprint: hours per task, accuracy, error rates. After launch, I run automated KPI reports weekly for the first 90 days. Prompt regression tests gate every model update. I check output distribution monthly against the launch baseline.

Pre/post metrics: hours per task, throughput, error rate, escalation rate Regression test suite runs before every model or prompt change Monthly distribution checks: semantic similarity scored against baseline
04 / Where I fit

A real comparison. Not a strawman.

If you are evaluating AI for your firm, you are choosing between four options. Here is how AdvanceOps fits against them.

SaaS AI add-ons
Zapier / Make agencies
Freelance AI consultants
AdvanceOps
Examples
HubSpot Breeze, Asana Intelligence, ClickUp Brain, Monday AI
Zapier Solution Partners, Make.com agencies
Upwork, Toptal, independent consultants
This site
Price posture
Bundled into your SaaS bill
$5K to $15K projects
$100 to $200/hr · ~$30K–$60K at typical agency scope
$5K Sprint + $35K–$50K USD build, 90-day continuity
What you get
The vendor's features, no customization
Workflow plumbing across SaaS tools
Variable depending on contractor
Production system designed around how your team works
Ownership
You rent it forever
You own the workflows
You own the work product
You own the code and the data, end to end
When it is the right answer
You already pay for the SaaS and the bolt-on covers your use case
The workflow is between known SaaS tools and fits a template
You can manage the project yourself and the scope is small
You need a custom system that fits your operation and you want one accountable owner

If your SaaS bolt-on solves it, take it. If a Zapier template handles it, take that. If neither does, call me.

05 / About

About AdvanceOps. Built around how people think.

Most AI for property management and professional services firms fails because it overloads working memory, ignores the cognitive cost of switching context, and assumes the user has perfect information. The result is a system that creates work instead of removing it. AdvanceOps builds the version that fits.

My degree is in cognitive science, specialization in computational cognition, from the University of Toronto. That is the spine of every system I ship: AI earns its keep when the workflow fits how people actually work.

No sales layer, no junior handoff. The person who scopes your build integrates it, handles the edge cases, and stands behind it in writing. The market is flooding with disposable AI automation that mostly half-works.

The AI shift is uneven. Firms that move first build an advantage that compounds. The ones that wait find themselves doing manually what a competitor is running on autopilot.

Production-grade orchestration

Proper APIs, audit logs, validation layers, and error handling on every system I ship. The orchestration is engineered to run unattended in your stack, whether the underlying agent platform is fully custom or built on Power Platform, n8n, or similar.

Your data is yours

Your internal company data is never used to train public models. I integrate with the tools you already run, route through enterprise-grade API providers, and log every call. You keep ownership of the data and the system end to end.

Hallucination boundaries, escalation paths

Every system has a defined escalation path. Low-confidence answers, ambiguous intent, or anything matching a must-escalate rule routes to a human queue with full context attached. Every conversation is logged and reviewable.

Portrait of Jesse Raso, founder of AdvanceOps
Meet the founder

Jesse Raso

Founder and engineer · AdvanceOps

Jesse holds an HBSc in Cognitive Science with a specialization in Computational Cognition from the University of Toronto, where the work concentrated on memory, attention, and decision-making under uncertainty.

Before AdvanceOps, Jesse shipped full-stack production systems for the University of Toronto Mental Health Association, a student organization (React, Next.js, Sanity), and built enterprise BI infrastructure on PostgreSQL at CIBC. The through-line is the same: model how work actually flows, then build the system that fits it. That is what the Discovery Sprint does before a line of build code gets written.

HBSc Cognitive Science · Computational Cognition, U of T Full stack engineering Enterprise BI (CIBC)
LinkedIn (opens in new tab) Book 30 min with Jesse
06 / Common questions

What people actually ask before signing.

The objections worth answering before the call. If your concern isn't here, bring it then.

How can you ship in six weeks when other consultancies quote twelve months?

I build with productized patterns, not from scratch. The build patterns on this site are based on architectures I have refined, so the build phase is configuration and integration into your stack, not invention. The first two weeks are diagnosis. The next four are configuration, integration, and deployment.

What if I do not have a clear AI use case yet?

Most firms looking at AI start unsure of where to apply it first. The two-week Discovery Sprint exists exactly for that. I map your operations, time-track your senior team’s key workflows, and rank opportunities by ROI. You leave with a written plan whether or not you continue.

Do I need technical staff to maintain what you build?

No. The optional retainer covers maintenance, integrations, monitoring, and shipping one improvement per month. Cancel anytime with 30 days notice. You keep the system either way. Retainer pricing is scoped to the system I build for you.

What happens to my data?

Your data stays in your systems. I integrate with the tools you already use rather than moving data into mine. AI processing runs through enterprise-grade APIs (Claude, OpenAI, Azure) with no model training on your data and full audit logs of every call.

Can you work with the software you already use?

Yes. The common property management stack: AppFolio, Buildium, Yardi, DoorLoop, RentManager, Twilio, Google Workspace, Slack, QuickBooks. The common professional services stack: Clio, PracticePanther, MyCase, QuickBooks, Xero, Karbon, NetSuite. If your stack is not listed, I scope the integration in the Sprint and you find out exactly what it will cost before any build begins.

What about the AI features bundled inside AppFolio, Buildium, or Clio?

If a bundled feature in a tool you already use covers a workflow well enough, use it. Those features are bounded by their own platform. The gap I sit in is the cross‑system layer above your SaaS, where a new maintenance request triggers triage and tenant communication, a monthly owner report assembles itself from your property management system and billing tool, or a new matter intake automatically checks conflicts and drafts the engagement letter. That orchestration layer is where a custom $35K–$50K build pays back, because no single SaaS vendor owns the seams between the tools you already pay for.

What if it does not work?

I commit to written success metrics before any build starts. The Sprint is fixed fee. The build is paid in three milestones: signing, pilot week, and rollout. If I do not hit the agreed metrics in pilot week (week five), the pilot and rollout milestones are forgiven; you owe only the signing milestone, roughly a third of the build fee. You do not owe the retainer, and you keep all the work product.

Where are you based and how do you work with remote clients?

Canadian, remote-first, with clients across Canada and the United States. Discovery calls, weekly demos, and the audit phase run on video. Engagements that need on site work, such as facility walkthroughs or hands on training sessions, are scheduled with travel scoped into the engagement.

Do you sign NDAs and DPAs?

Yes. I sign a mutual NDA on request before any commercial conversation. For engagements that involve regulated data (PIPEDA, HIPAA, financial), I sign a Data Processing Agreement before any client data is touched. Standard templates are available on request, and I am happy to work from yours.

What happens if the AI gives a wrong answer to one of my customers?

Every system I ship has a defined escalation path. Low confidence answers, ambiguous intent, or anything matching a “must escalate” rule (legal advice, financial commitments, complaints, safety) goes to a human queue with full context attached. Every conversation is logged and reviewable. Hallucination boundaries and refusal behaviour are written into the Statement of Work and tested during pilot week.

For property management and professional services firms, AI output remains subject to applicable professional and regulatory standards. The system surfaces drafts and recommendations; final professional judgement and review rest with your team, as your regulator requires.

Do you carry insurance?

Before any signed Statement of Work, AdvanceOps will bind professional liability (errors and omissions) and general liability coverage appropriate for the scope, with certificates of insurance shared at signing. Coverage limits and additional insured naming can be arranged for engagements that require it.

Can I see a sample audit deliverable before I pay?

Yes. Email hello@advanceops.ai with your industry and I will send a sample audit deliverable so you can see exactly what you would receive at the end of the two-week Sprint. No call required to get the sample.

Why should I move now instead of waiting?

Because the AI shift is uneven. Every quarter you wait, a faster competitor builds the advantage you could have built. The cost of moving is fixed. The cost of waiting compounds.

07 / Get in touch

30 minutes. Three real numbers.

Tell me your firm size, portfolio or client count, and what is eating the week. In a 30-minute call I give you three numbers: hours per week back, dollar value, flat price to ship it. No deck. No pitch.

Book a Discovery Sprint call

Prefer email? hello@advanceops.ai

Capacity: 2 builds at a time, 7 per year. 2 Discovery Sprint slots open for Q3 2026.

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