— 03 / Practice
Custom AI solutions.
Production-grade AI built on your data, deployed on your infrastructure, with auditable citations and zero per-seat tax. Not a ChatGPT Team subscription. Not a hosted chatbot. Software that actually knows your business.
— The honest comparison
ChatGPT Team is a chat app. You need software.
The generic AI tools on the market are brilliant demos and useful for research — but they don't know your customers, can't live inside your product, and charge per-seat forever. Custom AI ships once, lives inside your flow, and answers from your actual knowledge base.
Generic AI tools
ChatGPT Team · Copilot · hosted chatbots
Great at writing emails. Hopeless at "what's the SLA for customer #4821" or "quote this based on our 2024 price book". You paste context every time — or settle for generic answers.
$30/user/mo across 50 staff = $18K/yr that grows every hire. Plus per-message fees on hosted chatbot tools like Intercom Fin ($0.99/resolution) that punish success.
No grounding, no citations, no evaluation. When the answer is wrong — and sometimes it is — there's no audit trail. Not safe in front of paying customers.
Lives in a separate tab. Cannot be the chat inside your customer portal, the copilot next to your CRM record, or the automation behind your ticket triage.
Prompts and attachments flow through the vendor's US infra. Tough call for regulated industries, Canadian government work, and anyone under privacy-compliance scrutiny.
Artificial Perfection
Grounded, embedded, yours.
RAG against your docs, tickets, price book, invoices, CRM records. Every response cites the source. "I don't know" when the answer isn't in your data — not invented.
Pay for the build once. Run it for every employee, every customer, every automation — no seat tax. Model usage costs cents to pennies per call and are transparent.
Every use case has regression tests, ground-truth examples, and a quality dashboard. When the model changes, we know before your customers do.
Inside your customer portal. Beside your CRM record. Behind your ticket queue. As an API that your other systems call. Not a separate tab.
Deploy on Azure OpenAI (EU / Canada regions), AWS Bedrock, or self-hosted open models. Your prompts and documents stay inside your compliance boundary.
— What we build
AI that earns its keep.
Customer support
Grounded support & triage bots
Answers from your actual KB, SOPs, and past tickets. Handles tier-1 volume 24/7, escalates when unsure, logs every conversation. Typical deflection: 40–70% of repeat questions.
Sales & revenue
Proposal & quote generators
Paste the lead brief. Out comes a first-draft proposal priced against your rate card, scoped to your standard packages, in your brand voice. Saves reps 60–90 minutes per quote.
Operations
Document intelligence
Contract review, invoice extraction, regulatory comparison, compliance pre-checks. Processes batches in minutes that legal or finance currently does in days.
Internal tools
Knowledge-base chat & copilots
"Where's the process for X?" answered from your Notion, SharePoint, or Drive. Built into Slack, Teams, or your internal portal. Onboards new hires in hours, not weeks.
Automation
LLM-driven workflow agents
Agents that watch for new tickets / orders / emails, reason about them, and take multi-step action against your APIs. Replaces ops work that's too judgment-heavy for Zapier.
Custom intelligence
Bespoke AI features in your product
AI search, auto-summarize, smart drafting, anomaly detection — shipped inside your own SaaS. Differentiates your product from competitors still stapling ChatGPT screenshots to pitch decks.
— How grounded AI works
The five-layer stack that keeps AI honest.
Generic AI hallucinates because it's a single model answering from general-purpose training data. Grounded AI adds structure around the model so every answer is tethered to something real — and so you can tell when it isn't.
— How it ships
Engineered, not demoed.
Grounded AI, not hallucinations
RAG against your actual knowledge base, invoice records, ticket history. Auditable citations on every response. Safe in front of real customers — not demo theatre.
Sovereign deployment
Azure OpenAI (Canada Central / EU), AWS Bedrock, or self-hosted open models. Prompts and documents stay inside your compliance boundary — privacy, PIPEDA, HIPAA-adjacent workflows welcome.
LLM-provider agnostic
Abstraction layer means we can swap models as the landscape shifts. Pin to Claude for reasoning, cheap-tier for classification, local Llama for privacy — all from one interface.
Zero per-seat fees
You pay once to build, then hosting + model API calls. A 500-person team costs the same as a 5-person team — model usage scales with conversations, not headcount.
Evaluation harness built in
Ground-truth test sets, regression dashboards, red-team prompts. When Anthropic ships a new model, we know if it helps or hurts your use case before you do.
IRAP + SR&ED eligible
Most AI R&D qualifies. IRAP covers 80% of labour. SR&ED refunds up to 35%. BDC Data to AI adds financing + advisory on top. We document the work so your team can claim every dollar.
— How we work
POC in two weeks, production in six.
- 01
Discovery call
20-minute conversation about the job-to-be-done, your data sources, and your compliance boundary. Written scope + quote within 24h.
- 02
Architecture & evals
Data flow, retrieval strategy, model choice, ground-truth test set. We define "good" before we build — so we know when we hit it.
- 03
POC sprint
Two weeks to a grounded prototype on your data. Real questions, real citations, measurable accuracy against your eval set. If accuracy fails, we stop and reshape scope — no dead-horse builds.
- 04
Production deploy
Hardened, monitored, SLA-backed. Integrated into your product or ops flow. Eval dashboard handed over so your team can keep watch.
— Client voice
Said by clients we've shipped for.
Our primary goal was to create a reliable hub that could seamlessly connect our foundation with our stakeholders, especially for our upcoming events and bookings. Artificial Perfection delivered a highly professional, stable platform. The event registration flow is intuitive, and the backend management gives us exactly the control we need. A very solid and dependable technical partner.
As an investment firm, we needed a corporate website that was clean, fast, and projected absolute professionalism. AP handled our brand refresh seamlessly. They built a highly polished, standard corporate platform without overcomplicating the process. The 1/3-to-2/3 grid layout and the high-end visuals they integrated give us a very premium digital footprint.
Honestly, the AP team completely blew us away! We didn't need a marketing site; we needed a beast of a logistics engine. They built us a massive tri-domain platform connecting our warehouses, delivery drivers, and customers in real-time. It handles complex routing logic effortlessly. If you need a team that can build serious, heavy-lifting custom infrastructure without the crazy enterprise timelines, look no further!
— Next step
Bring us the hardest AI problem on your roadmap.
Every AI engagement starts with a 20-minute discovery call. We'll tell you if we're the right fit, what the shortest path to value looks like, and the rough scope. No pitch deck, no slide theatre.
Written quote in 24h · Typical build $15K – $80K · IRAP / SR&ED documented
— Common questions
Before you commit.
What does "custom AI" actually mean?
LLM-powered software built for your business, deployed on your infrastructure. Examples: an agent that drafts proposals from your price book, a triage bot for 500 daily support tickets, document intelligence for contract review, a knowledge-base chat grounded in your PDFs, or an ops automation that wires LLM reasoning into your existing APIs.
Why not just use ChatGPT Team or Microsoft Copilot?
They are generalist assistants that do not know your data, your process, or your constraints. They charge per seat forever, cannot be embedded into customer flows, and cannot produce auditable citations. Custom AI ships once, lives inside your software, and answers from your actual knowledge base.
How do you keep it from hallucinating?
Retrieval-augmented generation against your data, structured output contracts, evaluation harnesses for every use case, and citation links that prove where each answer came from. We also set explicit scope boundaries — the agent refuses out-of-scope questions rather than inventing.
Can it run without sending data to OpenAI / Anthropic?
Yes. We deploy against Azure OpenAI (data-residency-safe), AWS Bedrock, self-hosted open models, or hybrid. Your prompts and documents stay inside your compliance boundary. This matters for finance, healthcare, and Canadian government work.
How is AI work priced?
Custom AI has no public price because scope varies wildly — a document classifier is a $15K build, a multi-tenant agent platform is $80K+. After a 20-minute discovery call we send a written quote within 24 hours. Milestone billing, installment plans available.
Are AI projects grant-eligible?
Most of our AI builds qualify for IRAP (80% of labour), SR&ED (up to 35% refundable tax credit), and BDC Data to AI (financing + advisory). We document the technical work so your accountant and grant officer can claim everything available.