Municipal code workflow agent
A powerful AI-driven solution designed to modernize and streamline municipal code workflows and digital content operations—dramatically reducing processing time while improving quality, consistency, and scalability.
Book a Consultation
The challenge
Many organizations responsible for managing municipal ordinances and public-facing websites face operational bottlenecks due to legacy systems and manual processes.
Lengthy manual document processing
Manual document processing is requiring up to 480 hours per codes and supplements project
Complex markup
Complex legacy markup systems that demand 6–18 months of specialized training
Time-consuming migraiton
Time-consuming website content migration (averaging 139 hours per project) with variable quality
Resource intensive QA
Resource-intensive quality control processes (35+ hours per project) for both document review and site validation
Heavy reliance on people
Heavy reliance on niche expertise, creating scalability constraints and knowledge silos
Significant backlogs
Significant project backlogs, delaying value delivery and revenue realization
The solution
A.Team deploys tailored expert teams to build AI-powered systems that replace manual bottlenecks with scalable, intelligent automation.
AI-powered processing
AI-powered document intake and processing, accelerating ordinance ingestion (saving ~11 hours/project)
Modern tools
Modern XML editing tools with AI markup assistance, replacing legacy systems and reducing ramp-up time (saving ~100 hours/project)
AI-powered analysis
AI legal analysis for both targeted and generalized code changes (saving ~40 hours/project)
Automated QA
Automated quality assurance and indexing, ensuring consistency and high-quality output (saving ~25 hours/project)
Standardized workflows
Standardized CMS templates and design workflows for faster, more consistent website delivery (saving ~13 hours/project)
AI-driven content migration
AI-driven content migration tools, automating bulk page creation and formatting (saving 50–70 hours/project)
Technical implementation
A modular, microservices-based architecture enables phased implementation and rapid scalability across teams and workflows.
Tech stack
AI Processing: Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) for legal document understanding
Frontend: Fonto, Figma, Marker.io
Backend: Cloud-based storage with robust XML translation engines
Integration: API-first architecture with AI Control Room for monitoring and fine-tuning performance
Training: Interactive LMS (e.g., Docebo) for ongoing enablement and education
Our providers
Fonto XML Editor for structured content workflows
Cloud infrastructure for scalable storage and compute
Learning management systems (e.g., Docebo) for training delivery
Resource and project management tools (e.g., Monday.com or equivalent)
AI Control Room for operational oversight and optimization
Custom open-source solutions
Solution playbook
Phase 1
Discovery & Intake System
4-8 weeks
Establish core infrastructure with a unified cloud-based intake system, smart document organization, and searchable repositories powered by AI.
Phase 2
Markup & Editor Modernization
12-24 weeks
Introduce modern XML tools and AI-assisted markup workflows, eliminating reliance on outdated systems and reducing specialized training needs.
Phase 3
AI-Assisted Legal Analysis – Specific Changes
8-16 weeks
Deploy AI systems to accelerate drafting and legal review of clearly defined code updates, reducing attorney workload.
Phase 4
AI-Assisted Legal Analysis – Non-Specific Changes
12-16 weeks
Enhance AI capabilities to support nuanced, interpretative legal changes with contextual understanding and guidance.
Phase 5
Quality Assurance & Indexing Automation
12-16 weeks
Automate indexing, review workflows, and content validation to ensure consistency, accuracy, and reduced rework.
Phase 6
Ongoing Maintenance & Optimization
Continuous
Ongoing support via the AI Control Room with performance tuning, model updates, and adaptive engineering support.
Experts matched to your needs
Our network of 11,000+ highly vetted practitioners includes technology leaders with deep expertise in environmental engineering, regulatory compliance, and automated document processing, precision-matched to your specific challenges and led by a senior AI Architect.
Richard Abrich
ML Engineer
16 years of experience
Expert in AI-powered document processing systems with experience in regulated environments.
Tomislav Peharda
ML Engineer
10 years of experience
Deep Learning Engineer with extensive experience in NLP and document analysis using GPT/OpenAI.
Eduardo Gueiros
Mobile Developer
13 years of experience
Back-End Developer with strong expertise in REST API development and Python.
Momcilo Popov
Front-End Developer
14 years of experience
Front-End Developer experienced in building intuitive user interfaces for content management systems.
Darius Krisiunas
Design & UX
20 years of experience
Product Designer specializing in creating intuitive interfaces for complex document workflows.
Rob Shapiro
Product Management
11 years of experience
Product Manager with experience leading AI-driven document processing initiatives.
Start building your project today
Book a consultation
