Octopus Presentation
Turning City Data Into Cross-Department Insight
Real operational data. Multiple lenses. Actionable intelligence.
Spandan Teegalapalli
Frisco Resident
The Missing Piece
Problem
Rich Data. Limited Cross-Department View.
City of Frisco has deep data across departments — calls, permits, events, utilities, public safety, and more.
The missing piece is seeing the same operational picture through different lenses and surfacing high-level issues that span departments.
Solution
Octopus Closes That Gap
Advanced machine learning and small language models (SLMs) connect signals across sources and surface patterns leadership can act on.
AI doesn't have to be expensive — Octopus optimizes AI cost while delivering real insight.
Data Exists — Insight Doesn't
The data is already in your systems. The insight is what's missing.
Weekend Game
Related issues land in different departments — but never appear as one operational story.
New Community Building
Data is there early — the opportunity is to act proactively before issues compound.
What Octopus Does
Signals → Patterns → Discoveries → Executive Intelligence
Signals
Patterns
Connected automatically
Executive Intelligence
Octopus does not create information.
It reveals connections.
How It Helps Communities
From reactive reporting to proactive city operations
Learn from the Past
Be proactive using patterns from historical operational data — spot recurrence before it escalates.
Faster Reports
Leadership-ready summaries in minutes, mostly automated, less manual analyst time.
Smarter Budgeting
Compare workload and demand signals across departments to support staffing and budget decisions.
Plan Ahead
6-month and 12-month workload projections — see what's coming before it arrives.
Workload assessment across departments — not just within them.
Live Demo
Let's walk through Octopus with real Frisco operational data.
See cross-department patterns, discoveries, and leadership summaries in the workspace.
Where We Could Leverage AI
AI doesn't have to be expensive.
Cost-Efficient SLMs
Small language models tuned for city operations — high value, lower inference cost.
On-Prem / Client-Hosted
SLMs on client infrastructure (e.g. on-prem SageMaker) — data stays home.
Agentic Routing
Agent workflows route issues to the right department with context.
Drafted Responses
AI-assisted response drafts so residents feel heard quickly and consistently.
Voice + Multilingual
Voice-to-text intake for complaints; multilingual support for Frisco's diverse community.
Chatbot Support
24/7 conversational help for common requests and status updates.
Make residents feel at home — without enterprise AI price tags.
Questions & Feedback
Thank you.