Real Systems. Real Impact. Intelligent Infrastructure in Action.
Proof That Intelligent Infrastructure Works.
Every system we build tells a story — of time reclaimed, decisions accelerated, and automation that begins to think for itself through use.
Trusted by SaaS, consulting, finance, legal, and AI-first companies.
Below is a selection of recent intelligent infrastructure builds and the measurable impact they delivered.
10x Faster Onboarding for a SaaS Platform
Client:
Fast-growing SaaS platform (anonymous by NDA)
Problem:
Reduced onboarding time from 5–7 days → 3 days. Built with modular workflows, unified data pipelines, and reasoning layers on top of Supabase + Redis cache.
Solution:
Operisys designed a Unified AI Onboarding Infrastructure:
- Connected CRM, payment, and analytics tools via n8n + Supabase
- Introduced an AI "Onboarding Assistant" trained on documentation
- Automated status tracking + client comms via Telegram/Email bridge
Architecture Modules Used:
- Workflow Engine
- Multi-Agent Orchestration
- Knowledge Layer (RAG)
- Automation Pipelines
- Decision/Reasoning Layer
Results:
+70% customer happiness
+92 NPS
5 dashboards merged into 1 system-brain
"It feels like we hired five extra people — but it's just our system finally doing what it should."
— SaaS Platform (under NDA)
Results:
+42% faster proposal delivery
8 minutes per draft
Central knowledge layer built
"Our AI now writes the first draft of every proposal — we just sign off and send. It's like having an assistant who never sleeps."
— Consulting Firm, UK
Proposal Automation for a Consulting Firm
Client:
Boutique management consultancy (UK)
Problem:
AI-driven proposal generation, internal knowledge indexing, logic routing, and decision chains built to eliminate 6–10 hours of repetitive work weekly.
Solution:
We implemented a Proposal Automation & AI Knowledge Engine:
- Supabase + OpenAI pipeline for dynamic proposal drafts
- Integrated DocuSign & Stripe for instant contracting and payments
- Automated "Proposal Follow-Up AI" with contextual replies
Architecture Modules Used:
- Workflow Engine
- Multi-Agent Orchestration
- Knowledge Layer (RAG)
- Automation Pipelines
- Decision/Reasoning Layer
Legal Intelligence Infrastructure for a Law Firm
Client:
Mid-size immigration & compliance law firm
Problem:
Systems built for immigration, compliance search, reasoning retrieval, and weekly policy summarization. Designed with GDPR-ready audit logs and training memory loops.
Solution:
Built an Internal Legal Knowledge Infrastructure:
- Secure Supabase + OpenAI hybrid (with RLS for compliance)
- Natural-language "Case Finder" for document retrieval
- Weekly automated compliance summaries
Architecture Modules Used:
- Workflow Engine
- Multi-Agent Orchestration
- Knowledge Layer (RAG)
- Automation Pipelines
- Decision/Reasoning Layer
Results:
20+ hours saved weekly
300+ templates indexed
GDPR + firm-isolated architecture maintained
"We went from chaos to clarity. The system doesn't just store data — it understands it."
— Immigration & Compliance Law Firm
Systems That Learn Instead of Just Deliver.
Case studies may show results. But what matters is the pattern: de-fragment, architect, orchestrate, and scale with ownership.
Your Company Could Be Our Next Case Study.
Start with a free AI Audit — we'll map your automations, expose bottlenecks, and design your Intelligent Infrastructure Blueprint.
"Automation is temporary. Infrastructure is permanent."
— Ashkan Gholizadeh
Operisys — Case-Driven Infrastructure for Founders Who Ship.