AI Automation
Eliminate repetitive workflows with intelligent automation that learns and adapts to your processes.
- Document processing & extraction
- Approval workflow automation
- Intelligent routing & triage
- Audit trail & compliance logging
AI Solutions for Regulated Industries
We Build AI That
Works For Your Business
Phronova delivers privacy-first AI automation, custom LLM solutions, and agentic workflows tailored for law firms, financial services, and healthcare — where trust is non-negotiable.
Privacy-first architecture
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Domain experts
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End-to-end delivery
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Canada-based
What We Do
AI Services Built for Enterprise
From strategy through to production deployment — we cover every dimension of enterprise AI adoption.
Custom AI Solutions
Bespoke AI models and pipelines built around your domain data, not generic off-the-shelf tools.
- Fine-tuned LLMs on proprietary data
- RAG pipelines with vector search
- Custom embeddings & retrieval
- Multi-modal AI applications
AI Governance
Frameworks, policies, and technical controls to deploy AI responsibly under EU AI Act and Canadian AIDA.
- Risk classification & assessment
- Model cards & documentation
- Bias auditing & red-teaming
- Regulatory compliance mapping
Agentic Workflows
Multi-step AI agents that reason, plan, and execute complex tasks autonomously within guardrails.
- LangGraph & LangChain architectures
- Tool-use & function calling
- Human-in-the-loop checkpoints
- Observable & debuggable pipelines
Vertical AI Products
Purpose-built AI products for legal, financial, and healthcare verticals — deployed and maintained by us.
- Legal contract review assistant
- Financial document analyser
- Clinical note summarisation
- Compliance Q&A systems
AI Strategy Consulting
Objective AI readiness assessments and roadmaps that turn executive mandates into executable plans.
- AI maturity assessment
- Use-case prioritisation matrix
- Build vs. buy analysis
- Change management & training
Our Process
How We Work
A repeatable, low-risk delivery model refined across dozens of enterprise AI engagements.
1
Discover
We run structured discovery workshops to map your workflows, data assets, compliance constraints, and success metrics.
2
Design
We produce a detailed architecture blueprint, data flow diagram, and risk register before writing a single line of code.
3
Build
Iterative two-week sprints with weekly demos. You see working software early and often — no big-bang reveals.
4
Scale
Post-launch monitoring, retraining pipelines, and a structured knowledge transfer so your team owns the system.
Why Choose Us
Built Different
Three principles that guide every engagement and every line of code we write.
Privacy-First
We design for zero data retention by default. Your client data never trains foundation models. Self-hosted and on-premise deployments available for the highest compliance requirements.
- Zero data retention options
- SOC 2 aligned practices
- On-premise deployment
Domain Expertise
Our team combines ML engineering with deep knowledge of legal, financial, and healthcare workflows. We speak your industry's language and understand its regulatory constraints.
- Legal & compliance workflows
- Financial services AI
- Healthcare & clinical AI
End-to-End Delivery
From strategy through to production — we own the entire lifecycle. No handoffs to system integrators. No finger-pointing. One team, one throat to choke.
- Strategy to deployment
- Ongoing monitoring & tuning
- Knowledge transfer included
Case Study
AI in Production
Real outcomes from real clients — names anonymised, results verified.
Legal Services National Law Firm (anonymised)
AI-Powered Contract Review for a National Law Firm
The Challenge
A 200-lawyer firm was spending 12–18 hours per matter on first-pass contract review. Associates dreaded the work; partners worried about consistency and missed clauses under deadline pressure.
The Solution
Phronova deployed a self-hosted RAG pipeline on the firm's private infrastructure using a fine-tuned model on their precedent library. A secure review UI integrates with their existing DMS — no data leaves the firm's perimeter.
Results
Insights
View all posts
From the Phronova Blog
AI Strategy 8 min read
RAG vs Fine-Tuning: Which AI Approach Is Right for Your Business?
Choosing between retrieval-augmented generation and fine-tuning is one of the most consequential decisions in enterprise AI. We break down the trade-offs.
LegalAI 6 min read
How Law Firms Can Use AI Without Risking Client Privilege
Solicitor-client privilege is sacred. Here's how to adopt AI tools that respect it — with architecture decisions that matter.
AI Governance 10 min read
The EU AI Act Explained: What Canadian Businesses Need to Know in 2026
Even if you're headquartered in Toronto, the EU AI Act affects you the moment you serve EU customers or use EU-regulated AI systems.
Agentic AI 12 min read
Building Agentic Workflows for Finance Teams: A Practical Guide
LLM agents that can read reports, query databases, and draft memos are no longer science fiction. Here's how to build them safely.
Infrastructure 9 min read
Self-Hosted LLMs vs Cloud APIs: A Cost and Privacy Comparison
Running Llama 3 on-premise vs. calling OpenAI — the real cost equation includes compute, latency, privacy risk, and maintenance.
Privacy 5 min read
What Is Zero Data Retention and Why Your Business Should Demand It
When you send a document to a cloud AI service, where does it go? Zero data retention policies are the privacy baseline every enterprise client should require.
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