AI agents, parsing and scraping, built for your operation, not for a demo.

Custom AI systems that do real work inside your business

Off-the-shelf AI tools stop at the chat window. A custom AI system goes where your work actually happens: it reads the documents your team retypes, watches the sources your team checks manually, and makes the routine judgment calls that clog up the day. For Quintessence Auto, a Montréal-area dealership, we built an auction-scraping dashboard that pulls vehicle listings, parses the details with AI and puts clean, searchable data in front of their sales reps, work that previously meant a person combing through auction sites. That is the pattern: find the slow, repetitive, judgment-light work and build a system that does it.

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Who this is for

Built for owner-operated businesses drowning in manual data work: dealerships tracking auctions and inventory, shops re-keying supplier documents, venues and operators monitoring listings, prices or leads across greater Montréal and beyond.

What’s included

Scoping & system design

We map the manual process end to end, what gets read, what gets decided, what gets typed where, and design the system against a number you already track, like hours spent or leads missed.

The AI core

Agents, document parsing, scraping and extraction, tuned on your real documents and sources. The AI handles the reading and the routine decisions; deterministic code handles everything that must never vary.

Integration with your stack

Output lands where your team already works, a dashboard, your CRM, a sheet, an inbox. Nobody has to adopt a new tool to benefit from the system.

Handover & documentation

You own what we build. We document how the system works, what it costs to run, and how to check what it did, so it is an asset, not a dependency.

How it works

01

Connect your systems

We wire into the sources and tools involved, the sites to watch, the documents to parse, the CRM or dashboard where results should land.

02

Automate the workflow

The system goes live on real data, with your team reviewing its output until the accuracy is proven. Edge cases get routed to a human with context attached.

03

Scale what works

Once one workflow runs itself, we extend the system, more sources, more document types, more decisions handled without a person in the loop.

In production

Quintessence Auto: a dealership back office that updates itself

212 Montréal: an event marketing machine that runs every week

FAQ

What counts as a custom AI system?
Anything where AI does work specific to your business rather than generic chat: an agent that qualifies and routes inbound leads, a parser that turns PDFs and emails into structured records, a scraper that monitors external sites and flags what matters. The common thread is that it runs on your data, inside your workflow, without someone prompting it.
How is this different from just using ChatGPT?
ChatGPT waits for a person to ask it something. A custom system runs on its own: it triggers on events, pulls its own inputs, writes results into your tools and flags exceptions. The AI model is one component, the value is in the plumbing around it, built for your exact process.
What did the Quintessence Auto system actually do?
Their sales reps needed to track vehicles across auction sites, slow, manual browsing. We built a dashboard that scrapes those auction listings, uses AI to parse each vehicle's details into structured data, and presents it in one place the reps can actually search. It shipped as part of a broader build alongside their website and inventory dashboard, in 3–4 weeks.
What does a custom AI system cost?
Pricing is scoped per project, because a single automation and a full platform build aren't the same thing. You get a fixed number after a discovery call, before anything is built. No hourly billing, no scope surprises mid-build.
How accurate is AI parsing and scraping, and what happens when it fails?
No AI system is perfect, so we design for failure honestly: outputs carry confidence checks, low-confidence items get routed to a person for review, and everything the system does is logged so you can audit it. Accuracy is measured on your real documents during the build, not assumed.
How do you handle our data under Québec's Law 25?
Your data stays in accounts you own, and where AI providers are involved we configure them so your business data is not used for model training. Law 25's consent and transparency obligations are designed in from the start, including how personal information is collected, stored and disclosed by anything we build.
How long does a build take?
Most custom AI systems ship in 3–4 weeks, the Quintessence Auto build, which included two dashboard systems and a website, landed in that window. Smaller single-purpose builds can go faster. Larger systems are phased, so a useful piece is live early and proving its accuracy on real data while the rest is still being built.

Related services

AI automation that runs your busywork for you

One dashboard that runs the whole operation

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Tell us what’s slowing you down.

Five minutes to describe your operation, we come back with a concrete plan and a timeline.

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