# Proptimise AI — From AI Experiments to Production AI > Calgary-based AI implementation company. We take AI from pilot to production — connecting it to your real systems, your governance, and your operations. Outcome-based pricing: you pay for results, not hours. **Website:** https://proptimiseai.com **Contact:** connect@proptimiseai.com **LinkedIn:** https://www.linkedin.com/company/proptimiseai/ **Location:** Calgary, Alberta, Canada --- ## What Proptimise AI Does Proptimise AI is a Calgary-based technology company with 12+ years of experience building systems inside energy operations. We are not consultants — we write code, deploy systems, and operate what we build. Most companies have tried AI. They built a chatbot, ran a pilot, maybe fine-tuned a model. But the pilot sits on a shelf because nobody solved the hard part: connecting AI to real enterprise systems (ERPs, SCADA, databases, legacy platforms), satisfying compliance and governance requirements, and making it reliable enough to run in production. That's the gap we bridge. We build AI systems that do real work — not just answer questions, but execute tasks, make bounded decisions, route exceptions to humans, and maintain full audit trails. ### The AI Maturity Problem We Solve 1. **Where most companies are — The Chatbot:** AI answers questions, but humans still do all the work. The workload didn't actually change. 2. **Where most get stuck — Search & Summarize:** AI can find information, but it can't act on it. There's no safe way to connect AI to real systems or earn compliance trust. 3. **Where we take you — The Workhorse:** AI systems that read your data, apply your rules, make decisions, and execute — with full audit trails and human oversight where it matters. The missing piece isn't better AI models — they're already good enough. It's connecting AI to your actual systems, your business rules, and your governance requirements. --- ## Our Approach — How We Get You There We follow a proven four-step approach that starts small and compounds: ### Step 1: Start with a Real Problem Your Team Owns (Weeks 1–4) We pick a process your IT or operations team already manages — cloud alert triage, data quality monitoring, infrastructure housekeeping. Real complexity, no board approval needed. A working AI system in weeks, not a pilot on a shelf. ### Step 2: Prove It Gets Better Every Week (Weeks 5–12) Weekly cycle: review what the AI did, fix what it got wrong, measure improvement. Last week: 73% accuracy. This week: 89%. The data speaks for itself. Within weeks, your compliance team has seen it operate safely. ### Step 3: Expand to the Work That Matters Most (Weeks 12–24) With the engine proven, we move into business-critical processes — production accounting, regulatory filings, land administration. Your domain expert describes the work. Same proven approach, higher-value outcomes. ### Step 4: Build a Lasting Advantage (6 Months+) Knowledge compounds. What one system learns prevents mistakes across all of them. What took months for the first agent takes days for the tenth. Institutional knowledge lives in the operation, not just in people's heads. --- ## How We Make AI Work in Production ### Multiply Your Experts' Reach Your best people can only be in one place at a time. We build AI that extends their judgment across the entire operation. ### Connect AI to Your Real Systems ERPs, databases, cloud platforms, legacy systems — the systems that run your business. We go where the data lives. ### Bounded, Auditable, and Compliant The AI handles routine decisions and routes to humans when uncertain or high-stakes. Full audit trail, baked in from day one. ### Measure. Fix. Improve. Repeat. Every system tracks what worked and what failed. Weekly cycle of review, fix, and measurable improvement. ### This Isn't the Automation You've Seen Before Traditional automation needed a developer to code every rule. That's why past projects took years and broke when the business changed. With AI agents, the person who knows the work can now directly instruct the system that does it. Traditional approach: 6 months per change. AI agents: 4 hours per change. --- ## Why Work With Proptimise AI - **Calgary-based ("We're from here"):** We understand the systems, the regulations, and the complexity of Western Canadian operations. We're not flying in — we're your neighbours. - **Outcome-based pricing ("You pay for results"):** We charge for outcomes, not hours. If the AI doesn't produce measurable value, we haven't delivered. - **Builders, not advisors ("We build. We don't advise."):** No strategy decks. We write code, deploy systems, and operate what we build. Working software in weeks, not months. - **Your experts stay in control:** Your people update how the AI works — no developer backlog. Rule changes Monday, AI reflects it Tuesday. - **12+ years in energy IT:** We've built technology inside the operations we now serve. --- ## Services Overview Proptimise AI builds production-grade AI agents modeled after real roles. Built on platforms you already own — no vendor lock-in. ### Service Categories **AI Systems:** Production AI agents that do real work — handle routine decisions, route exceptions to humans, maintain full audit trails. We take AI from pilot to production in weeks. **Cloud Engineering:** Design, build, and optimize cloud infrastructure and data pipelines. Azure, AWS, GCP — we go where the work is. **Data Engineering:** Data foundations that AI and analytics depend on. Ingestion, transformation, quality monitoring, pipeline reliability. We connect to whatever systems you run. **Systems Engineering:** Integration and automation across the technology stack. When AI needs to talk to your ERP, SCADA system, or regulatory filing platform, we build the connectors. **Chatbots & Conversational AI:** We build chatbots too — plus the systems behind them: integrations, knowledge bases, escalation workflows. For the full agent catalog (41 production-ready agent types across 7 categories), see https://proptimiseai.com/services --- ## Industries We Serve ### Energy & Resources SAGD optimization, production forecasting, predictive maintenance on AVEVA PI data. OT data integration, time-series forecasting, edge deployment. ### Manufacturing Quality prediction, process optimization, equipment health monitoring from SCADA systems. Real-time analytics, anomaly detection, physics-informed ML. ### Utilities Demand forecasting, grid optimization, asset management across distributed infrastructure. Load prediction, historian integration, hybrid deployment. ### Financial Services Document intelligence, compliance automation, knowledge management systems. Document processing, RAG systems, audit trails. --- ## Technical Capabilities ### OT/IT Bridge Expertise We understand air-gapped networks, DCS constraints, and 20-year equipment lifecycles. We also ship modern ML. Finding both in one team is rare. ### Pre-Built Frameworks (What We Bring to Day One) - **RAG & Document Intelligence Framework** — 2 weeks to production - **Model Fine-Tuning Accelerator** — 3–4 weeks to first fine-tuned model - **OT-to-AI Data Bridge** — Extract decades of industrial data without touching live control systems (3 weeks) - **SAGD & Heavy Oil Production Optimizer** — LSTM-based forecasting for Western Canada oil sands (6–8 weeks) - **Production MLOps Template** — Model lifecycle management, drift detection, A/B testing (2 weeks) - **Enterprise Governance Pack** — Security reviews, compliance docs, stakeholder alignment templates (Day 1) - **Multi-Agent Orchestration Framework** — Agent coordination with observability and error handling (3 weeks) - **DevOps & IaC Accelerator** — Multi-cloud deployment templates (1 week) ### Technology Stack Azure, AWS, GCP, Python, Kubernetes, PostgreSQL, TimescaleDB, LangChain, AVEVA PI, SCADA systems, FHIR APIs, Terraform --- ## Example Engagement Scenarios ### Financial Services — Intelligent Document Processing - **Challenge:** Loan officers spend up to 80% of time on manual document processing - **Our approach:** AI systems that automatically extract, validate, and route documents - **Outcome:** 70% reduction in manual processing time - **Timeline:** Prototype in 2 weeks, production in 6 weeks, ROI validated in 3 months ### Healthcare — Clinical Decision Support - **Challenge:** Physicians spend 2+ hours daily searching patient records and medical literature - **Our approach:** HIPAA-compliant AI that surfaces relevant clinical insights, integrated with EHR via FHIR APIs - **Outcome:** Reclaim 2 hours of physician time daily while improving diagnostic confidence - **Timeline:** Prototype in 10 days, production in 4 weeks ### Energy & Resources — Production Optimization - **Challenge:** Engineers spend days generating reports from AVEVA PI across hundreds of wells - **Our approach:** AI layers on existing AVEVA PI infrastructure for production pattern analysis and maintenance prediction - **Outcome:** 10–15% production improvements through AI-driven optimization - **Timeline:** Prototype in 2 weeks, production in 5 weeks --- ## Contact Proptimise AI - **Email:** connect@proptimiseai.com - **Website:** https://proptimiseai.com - **LinkedIn:** https://www.linkedin.com/company/proptimiseai/ - **Location:** Calgary, Alberta, Canada (PO Box 21037, T2P 4H5) ### What Happens When You Reach Out 1. **Discovery Call** — 30-minute call to understand your challenges and goals 2. **Honest Assessment** — We'll tell you if we can help — and if we can't, we'll point you in the right direction 3. **Working System in Weeks** — A real AI system running on your problem, proving value before any major commitment 4. **Scale What Works** — Only invest in full production when you see measurable results worth scaling