Services · Mobile app development · AI chat agents

AI chat agents built for multi-state rollout under federal and state law.

Codeeo provides AI chat agent development across the USA for national retailers, franchise systems, lenders, insurers, healthcare networks, utilities, education providers and software companies. We build agents that answer from content you approve, complete tasks in your systems, follow FTC, TCPA, HIPAA and state privacy rules, and transfer customers to trained staff whenever a decision, a dispute or a sensitive situation needs a person.

Going national adds problems a single market pilot never meets: different state laws, hundreds of locations with their own details, customers in several time zones and a large Spanish speaking audience. We plan for them from the start. Codeeo has no US office; our team works remotely with American clients, and discovery and reviews run by video call.

Built for
National and multi-state organizations, franchise brands and regulated companies serving customers across the United States.
Typical timeline
Planned in phases after discovery, with the pilot market, later states and approval checkpoints agreed in writing.
What you own
Source code, prompts, knowledge base, integration services, evaluation suites, consent records and conversation data, in accounts you hold.
Rated
4.7 / 5 from 23 Google reviews

200+ companies across the US and the UAEFrom a first store to a listed developer

Modon
Majid Al Futtaim
HP
Belkin
Dulsco Group
OneClickDrive
Hanayen
HMS
Clocksprings
Ghezlan

National capabilities

What a nationwide agent must handle that a local one can skip.

There is no single federal AI statute in the United States. Instead, agencies apply existing law. The Federal Trade Commission treats deceptive AI claims and undisclosed manipulation as unfair or deceptive practices under Section 5 of the FTC Act. The Federal Communications Commission confirmed in 2024 that AI generated voices count as artificial under the Telephone Consumer Protection Act. HIPAA, the Gramm Leach Bliley Act, COPPA and the ADA apply by sector and audience.

States add their own layer: comprehensive privacy laws in a growing list of states, California's bot disclosure law, Utah's generative AI disclosure rules, Texas AI duties and others still taking shape. Custom AI chat agents in the USA therefore need a rules layer that knows where each customer is. The capabilities below are the ones national programs ask for most.

Explain your project
  • State aware behavior

    The agent identifies the customer's state from their account, ZIP code or a direct question, then applies the matching rules: which privacy rights to offer, which disclosures to show, which products are available and which licensed team takes over. Rules sit in a maintained table, not scattered through prompts, so legal updates are quick.

    One agent behaves correctly in every state you operate in.

  • Location data at scale

    Store hours, services, staff and inventory differ across hundreds of locations and change daily. The agent reads them from your location management system or store database, answers in the customer's own time zone, and never guesses at a branch it has no current data for.

    Customers get the right answer for the location near them.

  • Consent aware messaging

    Order updates, appointment reminders and renewals can go out by SMS, email or WhatsApp. The agent checks your consent records before any marketing text, honors STOP and other opt out words immediately, sends through registered business messaging routes, and keeps CAN-SPAM requirements in email follow ups.

    Fewer TCPA exposure points and cleaner consent records.

  • Regulated data segregation

    Health data under HIPAA, financial data under the Gramm Leach Bliley Act and card data under PCI DSS each need their own handling. We route each type to services with the right agreements and controls, keep card numbers out of transcripts entirely, and mask other identifiers before storage.

    Sensitive data stays in the systems certified to hold it.

  • Payments without card data in chat

    When a customer pays a bill or a deposit, the agent hands off to a secure payment page or wallet flow with Apple Pay, Google Pay, cards or ACH bank transfer through your existing processor. The chat confirms success or failure but never sees the full card number.

    Payments complete inside the conversation while PCI scope stays small.

  • Spanish across every market

    Spanish speaking customers live in every state, not just the border states. The agent serves them from reviewed Spanish content with the same accuracy and the same rights notices as English, and reporting shows demand by region so you can add other languages where they are needed.

    Spanish speaking customers receive full service nationwide.

  • Accessible chat interface

    The chat window works with screen readers, keyboard navigation, zoom and high contrast settings, following WCAG guidance that courts and the Department of Justice reference in ADA matters. Customers can also request a phone or email alternative at any point.

    Customers with disabilities can use the agent without barriers.

  • Age and audience safeguards

    Brands whose products reach teens or children need extra care. If a service is directed to children under 13, COPPA applies to collecting their data. We design age screening, parental consent paths where needed, and content limits, and we keep companion style or open ended chat out of child audiences.

    Younger audiences are protected by design, not by disclaimer.

  • Enterprise identity and authentication

    Without a national digital ID, account verification relies on your own sign in, one time passcodes, device checks or step up verification before sensitive actions such as changing a payout account. The agent uses your identity provider so access rules match the rest of your services.

    Account specific answers go only to the right person.

  • Program wide reporting

    Executives see resolution rates, handoff reasons, sentiment and failure patterns by state, channel, language and location. Compliance teams can export transcripts for review. These reports show which regions and topics need better content before you expand further.

    Decisions about the next rollout wave rest on evidence.

Who this is for

National organizations that gain the most.

Nationwide agents pay off when the same questions repeat across many markets and a central team can maintain the answers. They need clear ownership, because a wrong answer at national scale reaches thousands of people quickly. These four profiles describe where we see the strongest case for a multi-state program, each with its own rollout path and its own regulatory focus. Conversational AI agent development USA programs that succeed usually name one executive owner, one pilot market and a short list of measures before the first line of code is written.

01

Franchise and multi-location brands

Restaurant, fitness, home service and retail franchise systems need a single agent that respects each franchisee's hours, prices shown in their systems and service menus. Corporate controls brand voice and policy, while location data comes from the systems franchisees already update. New locations join by adding their data, not by building a new bot. Franchisees can see their own location reports without access to anyone else's data.

Brand control at the center, local accuracy at the edge.

02

Lenders, insurers and fintech firms

Companies licensed in many states face different disclosure rules, collection practices and complaint processes. An agent with a state aware rules layer can explain products from approved disclosures, take payments securely and route complaints and disputes to licensed staff. The design aligns with GLBA safeguards and regulator expectations about fair treatment. Collections conversations follow federal and state debt collection rules where they apply.

Licensing boundaries are written into every flow.

03

Healthcare networks and digital health

Multi-state provider groups, telehealth companies and pharmacy services can automate scheduling, eligibility questions, refill status and onboarding. The agent works within HIPAA through business associate agreements, follows state disclosure rules for AI in patient communication where they exist, and sends anything clinical to licensed clinicians in the patient's state. Patients who cross state lines for care are asked to confirm their location before state specific guidance is given.

Clinical judgment never moves to the agent.

04

Software and subscription companies

SaaS products and consumer subscription services serving the whole country handle onboarding questions, billing, cancellations and troubleshooting at volume. The agent resolves these inside your product, while respecting the federal Restore Online Shoppers' Confidence Act and state automatic renewal laws, which require clear terms and a simple way to cancel. The agent never blocks or stalls a cancellation to push a retention offer.

Cancellation flows are designed to stay lawful.

Six stages from pilot market to national service.

  1. 01National discoveryOver video calls we map your customer groups, channels, states, regulated data and existing systems, then choose a pilot market and a use case that will prove value quickly.
  2. 02Rules and content modelWe build the state rules table and the approved knowledge base, with owners named for each topic and a review cycle for legal updates.
  3. 03Platform buildWe build the agent service once, with integrations to your CRM, commerce, scheduling, payment and identity platforms, ready to serve every channel and state.
  4. 04Evaluation at scaleThousands of test conversations cover states, languages, edge cases and attempts to manipulate the agent, with results recorded for compliance review.
  5. 05Pilot market launchThe agent goes live in one region or customer segment with close monitoring, quick content fixes and agreed thresholds for accuracy and customer satisfaction.
  6. 06Wave rolloutAdditional states and channels follow in planned waves, each reusing the platform and adding only the local rules, data and language content it needs.

Technology

What we build this with.

We select models per use case from providers such as OpenAI, Anthropic and Google, through Azure, AWS or Google Cloud under enterprise terms. Common integrations include Salesforce, Microsoft Dynamics 365, Zendesk, Genesys, Twilio, Stripe and Epic, depending on your existing stack. Web chat, in app chat for iOS and Android, SMS, WhatsApp and voice can all share one agent service.

01Mobile

  • Swift
  • Kotlin
  • Flutter
  • React Native

02Data and cloud

  • PostgreSQL
  • MySQL
  • MongoDB
  • AWS
  • Azure
  • Docker

03Marketing and tracking

  • GA4
  • Google Tag Manager
  • Search Console
  • Meta Pixel
  • Looker Studio

Questions national teams ask about chat agents.

The pilot comes first; national coverage follows in planned waves.

Time to the pilot depends on integrations, content readiness and legal review. Time to national coverage depends on how many states, locations and languages you add, and how quickly local data can be cleaned. We agree the pilot plan after discovery, then plan each wave once the pilot has shown real performance, instead of committing to a nationwide date before we know how customers behave. Locations with incomplete data are held back until their records are fixed, rather than launched with gaps. Each wave gets its own written plan and sign off.

Tell us what the business needs. We will tell you what to build first.

Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.

Get in touch

PROVEN RESULTS

4.7 / 5from 23 Google reviews