Constituent casework triage
Language models categorize incoming emails, letters and web forms by issue and agency, detect urgent cases such as benefits or immigration deadlines and route them to the right caseworker.
Natural Language ProcessingAI for Politics
AI in politics built on public trust.
We build responsible AI in politics for legislative offices, campaigns, parties and civic organizations that want to serve people better, not manipulate them. Our tools speed up constituent casework, policy research and multilingual communication, with every AI-generated output disclosed and reviewed by a human before it reaches the public.
- Human review on everything
- Disclosed AI-generated content
- Multilingual and accessible
01 Overview
Transparent tools for constituent service and civic work
Elected offices and political organizations handle huge volumes of letters, calls, bills and public questions with small teams. Constituents wait weeks for replies, staff struggle to track hundreds of pages of legislation, and important information often reaches only English speakers. Our work focuses on those service gaps: organizing casework, summarizing policy and making public information understandable and accessible to everyone.
We approach ai in politics with clear limits. All AI-generated content is labeled as such and reviewed by staff before publication. Systems are designed around election law, campaign finance and records retention requirements in each jurisdiction. We do not build voter manipulation tools, microtargeting of vulnerable groups, synthetic likenesses of candidates or anyone else, or covert persuasion systems. Our role is helping people participate, not deceiving them.
02 Challenges
What AI solves in politics.
The recurring problems we hear from politics teams — and where AI makes the biggest difference.
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CH-01
Overwhelming constituent correspondence
District and capitol offices receive far more mail, email and calls than staff can answer promptly. AI sorts messages by issue and drafts replies that caseworkers edit and approve.
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CH-02
Dense, fast-moving legislation
Bills, amendments and committee reports change quickly and run hundreds of pages. Retrieval assistants summarize changes and answer staff questions with direct citations to the source text.
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CH-03
Language and accessibility barriers
Many residents cannot easily access English-only or audio-only information. Translation, captioning and transcription make town halls, notices and guides reachable for more people, with human checks on accuracy.
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CH-04
Misinformation about voting
False claims about polling places, deadlines and eligibility spread quickly. Monitoring tools surface trending claims so election officials and communications teams can respond with accurate, official information.
03 Use cases
AI use cases for politics.
Proven applications we design, build and run in production — each delivered through one of our core services.
Legislative and policy research assistant
A retrieval-augmented assistant searches bills, statutes, hearing transcripts and agency reports, producing summaries and comparisons with citations that policy staff verify before relying on them.
RAG DevelopmentMultilingual public information
Official notices, FAQs and service guides are translated into the languages residents speak, with fluent human reviewers checking accuracy and tone before anything is published.
Generative AI DevelopmentHearing and town hall transcription
Speech recognition produces searchable transcripts and live captions for hearings, town halls and press conferences, improving accessibility and making public records easier to find.
Voice AI & SpeechVolunteer and field operations
Tools help organizers schedule volunteers, plan canvassing routes, summarize field notes and answer volunteer questions about procedures, using only lawfully obtained, consented contact data.
Intelligent AutomationMisinformation monitoring
Classifiers track public posts and news for emerging false claims about voting logistics, flagging them for human analysts who decide whether and how to issue official corrections.
ML Development04 Services
AI services for politics.
Natural Language Processing
NLP for classification, extraction, summarization and search.
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RAG Development
Retrieval-augmented generation grounded in your private data.
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Voice AI & Speech
Speech recognition, voice agents and text-to-speech.
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Generative AI Consulting
Model selection, architecture and governance for GenAI adoption.
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Intelligent Automation
AI-powered process automation beyond rule-based RPA.
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AI Consulting
AI strategy, readiness assessments and ROI-ranked roadmaps.
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05 How we deliver
From use case to production.
Every politics AI project follows the same five stages, so you validate value early and scale with confidence.
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01
Discover Typically 1–2 weeks
AI readiness assessment, data audit and use-case discovery. We rank opportunities by business value and feasibility and agree on measurable success criteria.
Output: Roadmap · data audit · success metrics
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02
Prototype Typically 2–4 weeks
A working proof of concept on your real data, scored against an evaluation set — so you see accuracy, latency and cost before committing to a full build.
Output: PoC · evaluation report · build estimate
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03
Build Sprint-based
Production engineering: data pipelines, model training or fine-tuning, RAG retrieval, agent tooling, APIs, guardrails and the user interface your team will actually use.
Output: Production code · APIs · guardrails
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04
Deploy Cloud, on-prem or edge
Secure deployment on AWS, Azure, Google Cloud, your private infrastructure or edge devices, with CI/CD, LLMOps and MLOps pipelines from the first release.
Output: CI/CD · infrastructure as code · rollback
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05
Operate Ongoing
Monitoring, drift detection, retraining and cost optimization keep models accurate and affordable as your data, users and the AI landscape change.
Output: Monitoring · retraining · cost reports
06 Built for your sector
Designed for politics realities.
Data, regulation and the systems you already run shape every architecture decision we make.
Election and finance law
Every system is designed around election law, campaign finance, AI disclosure and records retention requirements in the relevant jurisdictions. AI-generated content is labeled, logged and approved by accountable staff, and legal counsel reviews new uses before launch.
Integration with civic systems
We work with constituent relationship management platforms, legislative tracking services, voter file tools used under their legal terms and existing communication systems, keeping data access limited to what each workflow needs.
Clear ethical boundaries
We do not build voter suppression, manipulation or covert persuasion tools, microtarget vulnerable groups or create synthetic likenesses. Human review, bias testing and published usage policies keep AI accountable to the public.
How can AI be used responsibly in politics?
Responsible uses focus on service and transparency: organizing constituent casework, summarizing legislation, translating public information, transcribing hearings, coordinating volunteers and spotting misinformation. In every case, AI-generated content is disclosed, a human reviews it before publication and systems are designed around applicable election and campaign finance law requirements.
Do you build AI tools for microtargeting or persuasion?
No. We do not build tools for voter manipulation, covert persuasion, microtargeting vulnerable groups or creating synthetic likenesses of candidates or anyone else. Our work centers on constituent services, research, accessibility, operations and accurate public information, all with human review.
How do you handle AI disclosure requirements?
Disclosure rules vary by jurisdiction and are changing quickly. We build labeling into content workflows, keep logs of AI involvement and approvals, and work with your legal counsel so outputs are designed around current federal, state and local disclosure requirements.
Can AI help legislative offices answer constituents faster?
Yes. AI can sort incoming correspondence by topic, identify urgent casework and draft replies based on the office's approved positions. Caseworkers review and personalize every response before it is sent, which keeps the office accountable while shortening response times. Constituent data stays within the office's systems and is never used for unrelated purposes.
How does AI detect political misinformation without censoring speech?
Our tools do not remove or suppress content. They surface trending claims, especially about voting logistics, for human analysts at election offices or organizations. Those analysts decide whether to publish corrections through official channels, keeping judgment and accountability with people.