APOGEE
Try Apogee

Enterprise Services

Custom AI integrations for policy systems

Need to connect AI to your internal systems? Apogee builds secure integrations between AI platforms and your policy records, committee databases, and institutional archives.

Get in touch

The Challenge

ChatGPT can't read the records your work actually lives in

Modern AI is powerful out of the box - but it can't access the internal records, databases, and institutional knowledge where your answers actually live.

Integration gaps

92% of legacy systems lack modern API capabilities.1 AI platforms don't ship with connectors to legislative management systems, committee databases, or institutional archives. The data stays siloed.

Fragmented institutional knowledge

Bill histories, committee records, policy databases, correspondence archives - they don't talk to each other, and AI can't reach them. Staff spend hours finding what should take seconds.

Compliance complexity

Legislative data has specific handling requirements. Consumer AI tools weren't built for FedRAMP or state-level compliance frameworks. The underlying AI platform has to already carry those authorizations.

Implementation failure

70-95% of enterprise AI projects fail2 - usually because integration is treated as an afterthought. The AI works; the connection to your systems doesn't.

What Apogee Does

Connect AI to legislative systems and institutional knowledge

Apogee implements the integrations that let AI platforms access the records, directories, and databases your staff actually need.

Member & Staff Systems

AI that knows who handles what - across every office and committee.

  • Member and staff directories
  • Committee assignments and roles
  • Office contact information
  • Scheduling and availability

Legislative Records

Surface institutional knowledge from years of bills, hearings, and policy work.

  • Bill drafts and amendment histories
  • Hearing records and testimony
  • Policy and procedure libraries
  • Correspondence and memo archives

Operational Infrastructure

Connect AI to the systems that run daily legislative operations.

  • Legislative tracking (bills, votes, status)
  • Committee calendaring
  • Constituent management systems
  • Internal databases and APIs

How Apogee Works

From first call to working system

A focused engagement process that gets AI connected to your legislative systems and your team using it.

1

Discovery

1-2 weeks

Inventory your systems. Identify what AI needs to access. Map compliance requirements.

2

Implementation

4-8 weeks

Build secure connectors to your systems. Deploy on compliant infrastructure. Configure authentication.

3

Deployment

2-4 weeks

Production rollout. Staff training. Documentation and runbooks.

4

Support

Ongoing

Monitoring and optimization. New integrations as needs evolve.

Platform Expertise

Apogee integrates with what you use - or helps you choose

Apogee works with any major AI platform. For government work with strict infrastructure requirements, Claude on AWS GovCloud is the strongest platform fit. But Apogee plugs into whatever your team already uses.

Recommended

Claude (Anthropic)

Recommended by Apogee for government

Best-in-class reasoning. The Claude platform, via Amazon Bedrock, is available in AWS GovCloud with FedRAMP High and DoD Impact Level 4/5 authorization. The Apogee team builds Claude-powered tools for federal legislative work and knows the platform deeply.

  • FedRAMP High via AWS Bedrock
  • Built-in support for connecting external data
  • $1/agency government program
  • 500K context window (Enterprise)

Other Platforms

Apogee works with your existing investment

Already committed to Microsoft Copilot, Azure OpenAI, or another platform? Apogee builds the custom connectors that extend your existing AI to reach internal systems.

  • Azure OpenAI / Microsoft Copilot
  • Google Vertex AI
  • AWS Bedrock (multi-model)
  • Custom/self-hosted models

How Apogee Is Built

Open standards, built on infrastructure trusted by government

Apogee runs on Claude through AWS Bedrock. For organizations that require it, Claude is available in government-authorized AWS environments, so the AI layer builds on an existing security foundation.

Works with your AI

via the open MCP standard

Connects to Claude, ChatGPT, Gemini, and Copilot through Model Context Protocol, the open integration standard developed by Anthropic and adopted by Microsoft, Google, and AWS.

Runs on AWS Bedrock

Claude via Amazon Bedrock, AWS commercial cloud

Prompts and data are processed on Amazon Bedrock within AWS and are never used to train foundation models. Full audit logging and access controls.

Flexible Interface

Hosted chat or custom

A familiar conversational interface your team knows how to use. LDAP/SAML authentication. Role-based access. Or integrate directly with your existing tools.

Case Studies

Proven in legislative environments

Apogee staff have built AI pilot programs for legislative offices, including:

Staff & Committee Integration - Proof-of-concept integration connecting a conversational AI interface to staff directories, committee calendaring systems, and legislative bill data. Unified information scattered across disparate systems into a single natural-language query interface.

Knowledge Retrieval System - Connected an AI assistant to an existing internal search system so staff could ask questions in plain English across policy documents, floor procedures, and historical records. Converted a keyword-based tool into a contextual knowledge retrieval system.

These engagements required navigating security requirements, integrating with legacy systems, and designing for how legislative staff actually work. Similar government AI pilots have demonstrated 35% faster constituent responses3 and 8 hours per week saved per worker.4

Implementation approach

  • Right-sized scoping
  • Phased delivery
  • Working with existing systems
  • Knowledge transfer
  • Documentation and training

Contact us

Tell Apogee what you're working on and the team will follow up to discuss.

Systems you want to connect (optional)

We typically respond within one business day.

Sources
  1. Enterprise Legacy Systems Report 2024: 92.3% lack modern API capabilities
  2. MIT Sloan / BCG AI Implementation Research: 70-95% enterprise AI project failure rates
  3. New Jersey AI Assistant Results 2024: 35% faster response times
  4. Pennsylvania GenAI Pilot Results 2024: 8 hours per week productivity gains per worker
  5. NASCIO State CIO Survey 2024-2025: Only 22% have established data quality programs
  6. UK Local Government AI Adoption Survey 2025: 95% of English councils using or exploring AI