Ease AIMost businesses looking at AI should buy a subscription and move on with their day.
If ChatGPT Plus, Notion AI or Calendly solves your problem for $20 a month, building something custom makes no sense. You would spend thousands of dollars and weeks of calendar time to arrive at a worse version of a tool that already exists.
That is not consultant hedging. That is the actual advice.
But there are three conditions where a custom build is the right call. They are narrow. If you fit one of them, the economics and the risk profile change completely.
Condition one: the off-the-shelf tool nearly works, but never will
You have tried the commercial options. One of them gets you 70% of the way there. But the missing 30% is not on the roadmap, and the vendor has made it clear they will not build it.
That last portion is not a nice-to-have. It is the reason you looked at software in the first place.
Example: you run a trades business and need a tool that takes photos of a job site, extracts measurements, generates a quote using your actual labour rates and material costs, and emails it in your template with your terms. You found three tools that do two of those four things. None of them do all four, and none of them let you control the output format.
A custom build becomes defensible here. You are not reinventing email. You are connecting specific inputs to specific outputs in a sequence that does not exist as a product.
Our custom AI applications work starts at $20,000 for a multi-department programme and runs 8-12 weeks. That is more than a SaaS subscription. But if the SaaS subscription does not do the thing, the comparison is meaningless.
Condition two: the product is the business
If you are selling the AI application itself—as a product your customers pay for—buying a white-label SaaS tool puts your entire business at the mercy of another company's pricing, uptime and feature decisions.
That risk is fine when the software is internal. It is not fine when it is your revenue.
We have shipped two products. ASIScan is a static analysis security scanner for AI agent codebases, available at asiscan.dev. It audits against the OWASP Top 10 for Agentic Applications, the OWASP LLM Top 10 and EU AI Act Article 50. The scanner itself is free and MIT licensed. Paid services start at $490 for a one-off assessment.
Acado is an AI study companion for college and university students, live on web, iOS and Android at acado.ca. Six tools, including a Study Wizard, Writing Coach and Exam Prep. It coaches; it does not ghostwrite. Seven-day free trial, then $5.99 per subject per month or $19.99 monthly for unlimited access.
Both are live. Both are checkable. We built them because the product was the point, and depending on someone else's platform would have meant giving up control of the thing we were actually trying to ship.
If the AI tool is your revenue stream, you build it. If it supports your revenue stream, you probably buy it.
Condition three: the data cannot leave your control
Some industries have regulatory, contractual or reputational constraints that make sending data to a third-party API unacceptable.
This is not theoretical. Healthcare providers subject to PHIPA, legal firms handling solicitor-client privilege, and manufacturers with strict supply chain confidentiality agreements all face this.
The solution is not to avoid AI. The solution is to deploy models on infrastructure you control, with an architecture that never sends sensitive data outside your environment.
That requires a custom build. It also requires someone who knows how to deploy models locally, manage inference at scale, and build an application layer that logs every model call—prompt, response, tokens, cost—without leaking the data you were trying to protect in the first place.
Our custom application work includes an AI activity layer that tracks every model call with prompt, response, model, tokens, latency and cost. Cost attribution per user and per feature. Refusal and escalation rates. Spend caps and alerts. An exportable audit trail.
If your data genuinely cannot leave your control, this is not optional. It is the cost of doing the work correctly.
When to buy instead
If none of those three conditions apply, buy the subscription.
Seriously. If Zapier, Make, or a purpose-built SaaS tool does what you need, pay the monthly fee and spend your time on the business instead.
A single workflow automation from us runs $8,000 to $20,000 and takes four to six weeks. A Make subscription is $9 USD a month. If Make does it, use Make. We are not interested in selling you something you do not need.
The work we take on is the work where buying software does not solve the problem. Where the gap between what exists and what you need is wide enough that building something specific is cheaper, faster or less risky than continuing to work around the gap.
Ontario funding does not change the math, but it helps
If you are an Ontario for-profit business with 1 to 499 full-time employees, DMAP—the Digital Modernization and Adoption Plan—will cover up to $15,000 at 50% match toward hiring an external consultant to produce a digital adoption plan.
RMPG, the Retail Modernization Project Grant, covers up to $5,000 at 50% match if you are direct-to-consumer with a physical storefront, 1 to 50 employees, at least one year operating and $100,000 or more in revenue. You cannot combine DMAP and RMPG.
TDP, the Technology Demonstration Program, covers up to $50,000 at 50% match, but requires a completed DMAP and $750,000 or more in revenue. The Ontario Centre of Innovation's page shows a deadline of 10 August 2026, which has passed, but still lists the stream as open. Confirm directly with OCI before relying on it.
These are grants, not loans. BDC LIFT, announced 24 April 2026 with $500 million committed, offers financing from $25,000 to $5 million with principal deferrable up to two years. That is a loan. BDC has not published an interest rate.
None of this changes whether you should build or buy. Funding makes a custom build less expensive. It does not make an unnecessary build necessary.
Full details on eligibility and how to apply are at /ontario-ai-grants.
Where we fit
We are based in Burlington and serve businesses across Halton, Hamilton and the wider GTA in person, and across Canada and the United States remotely.
If you fit one of the three conditions above—if the off-the-shelf tool nearly works but never will, if the product is the business, or if the data cannot leave your control—we can help you figure out what a custom build would actually involve and what it would cost.
If you do not fit those conditions, we will tell you that too.
Reach out at /contact or check /pricing for our published rates. Every enquiry reaches me directly.