Ontario's Premier Agentic AI & Governance Consultancy
BEARACH designs autonomous AI workforces, enterprise RAG, and locally deployed models that maximize ROI — governed under the NIST AI Risk Management Framework and aligned with PIPEDA & PHIPA from day one.
The AI Landscape, Organized
Six categories. One tracked index.
Every technology in our ticker and tracker spreadsheet is classified into the industry's most-used categories — so you can navigate the AI market the way practitioners actually talk about it.
Agentic AI Services & Enterprise Solutions
Maximize the return on every AI dollar
Four engagement tracks that take Ontario businesses from AI experiments to governed, production autonomous systems.
Autonomous Agentic Workflows
Multi-agent systems that run your operations
- Design and deploy multi-agent pipelines for quoting, intake, reporting, and back-office ops
- Bounded permissions, approval gates, and full audit logs on every agent action
- Built on Claude Agent SDK, LangGraph, and CrewAI-class orchestration
Typical target: 30–60% cycle-time reduction on repetitive knowledge work
Scope this engagementEnterprise RAG & Knowledge Search
Your proprietary data, answering questions safely
- Permissions-aware retrieval over contracts, SOPs, tickets, and drawings
- Vector database selection and tuning (Pinecone, Qdrant, Weaviate, Milvus)
- Document-level access control enforced at retrieval time — not bolted on
Typical target: minutes-to-seconds answers from institutional knowledge
Scope this engagementFine-Tuning & Local LLM Orchestration
Private models on hardware you control
- Custom fine-tunes and open-weight deployments (Llama, Qwen, DeepSeek class)
- On-prem inference for PIPEDA/PHIPA-sensitive workloads — data never leaves Ontario
- Workstation-to-rack sizing matched to your real token throughput
Typical target: 40–80% inference cost reduction vs. per-token APIs at scale
Scope this engagementExecutive AI Transformation & Audits
A defensible AI roadmap for your board
- Capability audit across teams, tools, data readiness, and shadow AI exposure
- NIST AI RMF-aligned governance package with PIPEDA/PHIPA mapping
- Prioritized 12-month roadmap ranked by ROI, risk, and effort
Deliverable: board-ready AI strategy with quantified business cases
Scope this engagementInteractive ROI & Efficiency Estimator
What is automation worth to your business?
Drag the sliders to model hours returned, labour value unlocked, payback period, and first-year ROI — computed live from your own numbers.
Model your Ontario AI business case
Hours returned / year
3,600
Labour value unlocked
$198,000
Year-1 program cost
$90,000
Net annual benefit
$108,000
Estimated ROI
+120%
Payback
5.5 mo
Planning estimate only, computed live from your inputs (48 working weeks/yr). Every BEARACH engagement starts by baselining your real workflows before we commit to numbers. Not financial advice.
NIST AI RMF 1.0 · PIPEDA · PHIPA
Security & governance aren't an afterthought — they're the architecture
Our interactive Do's & Don'ts matrix operationalizes the NIST AI Risk Management Framework for Canadian businesses: data privacy, model governance, shadow AI prevention, and Zero Trust AI architecture — mapped to PIPEDA and PHIPA obligations.
Open the Security MatrixGOVERN
Accountability, policy, and a living AI inventory
MAP
Context, data classes, and Ontario regulation
MEASURE
Drift, bias, and injection-resilience testing
MANAGE
Incident response and human-in-the-loop control
AI Hardware Deployment Guide
From one workstation to an AI factory
Tiered, spec-level hardware guidance for running AI on infrastructure you control — sized for small business, mid-market, and large enterprise.
Small Business — Local AI Workstations
2–25 staff · single team · first local deployment
One serious workstation runs private chat, RAG, and a small agent fleet.
Reference Specification
- GPUNVIDIA RTX 5080 16GB or RTX 5090 32GB (single card)
- CPURyzen 9 9950X / Core Ultra 9 — 16+ cores
- RAM64–128 GB DDR5
- Storage2–4 TB NVMe Gen5 (models + vector index)
- Cooling/PowerAir/AIO, 1000–1200W PSU, standard 15A circuit
What It Runs
- Local inference of 8B–32B open-weight models (quantized); 70B possible on the 5090 with CPU offload at reduced speed
- Private RAG over company documents — data never leaves the office
- Hosting 3–10 always-on task agents
- Light LoRA fine-tuning overnight
Start here if PIPEDA-sensitive data rules out cloud APIs. An edge mini-node (e.g., DGX Spark-class) is a strong compact alternative.
Ontario Compliance Commitment
Built for Ontario. Governed for Canada.
- PIPEDA & PHIPA alignment — every architecture we ship is mapped to Canadian federal and Ontario health-privacy obligations.
- Canadian data residency — cloud regions or on-prem Ontario deployments, chosen per data class.
- NIST AI RMF governance — GOVERN, MAP, MEASURE, MANAGE operationalized in your organization.
Compliance guidance is provided for planning purposes and is not legal advice — we work alongside your counsel.
Book Your Ontario AI Audit
Start with a no-obligation capability audit
A structured review of your workflows, data readiness, shadow AI exposure, and highest-ROI automation candidates — delivered as a board-ready report.
17 Bascom Street, Uxbridge, Ontario L9P 1J3