Enterprise AI Chat,Built for Your Mission.
It answers people’s questions using only your agency’s own pages and handbooks, in their language. It helps them fill out and send forms, and routes every request to the right team, with a ticket and the conversation attached. Your team can see how it is doing at every moment.
A sample agency website at night. All names, cases and numbers are made up.
Enterprise Chat Architecture. Built for Your Mission.
Every assistant is assembled for one domain and one audience: its own agents, knowledge bases, websites, internal apps, MCP servers, tools, databases, guardrails and release tests, all running inside your boundary.
Who it serves
What it draws on and acts through
Run It Like a Production Service
An assistant serving the public is an online service. Your team sees its health, cost and quality in one place, and every limit, fallback and switch is a setting.
Web application firewall, bot challenges, spam and abuse detection before a request reaches a model.
Limits per user, session, IP and channel, with token and cost budgets per assistant and per day.
Timed-out calls retried with backoff, then routed to a fallback model, so visitors never see an error page.
Websites re-crawled and knowledge bases re-indexed on a schedule, with stale sources flagged.
Session timeouts, transcript retention and redaction set by your records schedule.
Turn off a tool, an agent or the whole assistant in one step, or roll back to the last version that passed.
Targets for latency, errors, grounding and cost, with alerts to your on-call team.
Every prompt, retrieval, tool call, retry and token count, traced per conversation.
Why a General-Purpose Chat Tool Is Not Enough
Enterprise chat tools are built to make individual employees more productive. A public-facing or mission assistant has to answer only from approved sources, act inside your systems and prove what it did.
How can we help you today?
From a Question to a Submitted Request
Visitors ask in their own words. The assistant answers from your published pages and handbooks, then collects what the form needs, checks it and submits it to your system of record, with a tracking number back in the chat.
Answers From Your Sources
Every answer comes from your published pages, handbooks and FAQs, with a link to the source.
Checked Before It Is Sent
Required fields, formats and eligibility rules are checked before anything is submitted.
In the Visitor’s Language
Questions and answers in English, Spanish and the other languages you support.
Every Request to the Right Team, the First Time
The assistant works as the front door of your help desk. It understands what each person needs, tries the approved fix first, and when a person is needed it routes the request to the right queue by skill, priority and SLA, opening the ticket in ServiceNow or Jira with the conversation and the steps already tried.
Routing decision
Queues
Intent and Skills-Based Routing
Requests are routed by topic, urgency, location and the skills each queue has, using rules your team can read and change.
Tickets Opened for You
Tickets are created in ServiceNow or Jira with category, priority and a summary filled in, and linked to known issues.
Warm Hand-Offs
Live agents see the full conversation and what was already tried, so nobody asks the same question twice.
Graded Before the Public Sees It
Every new version of the assistant answers a graded set of real questions before release. A judge scores each answer for grounding, plain language, accessibility and scope, and the judge itself is calibrated against your staff.
Release Gates
A version goes live only when it passes every threshold you set.
Calibrated to Your Staff
Your staff score a sample blind, and the judge is tuned until it agrees with them.
Regressions Caught
The same questions run on every version, so anything that got worse is found before release.
This record is append-only. Nobody can change or delete an entry.
- Question received from website visitorLate appeal question
- Answered by Help AssistantAppeals guide §2, cited
- Handed to staff by Help AssistantNeeds a good-cause decision
- Queued by Help AssistantAppeals team, opens 08:00
- Picked up by Ana TorresTranscript and case attached
- Reply sent by Ana TorresLate appeal accepted for review
A Person When It Matters. A Record of Every Answer.
Questions that need a decision go to your staff with the conversation attached, queued for when the office opens. Every question, answer, source and hand-off is written to an audit trail no one can edit.
Hand-Offs With Context
Staff see the full conversation and the case number, so nobody asks twice.
Every Answer on the Record
The question, the answer and the source it came from are recorded together.
What People Ask
Reports show the top questions, unanswered topics and where guidance needs updating.
Built for Public Service
Agents run in your environment, keep your people in charge of every decision, and keep your data out of model training.
Accessible to Everyone
Answers are checked for Section 508, and the assistant works with screen readers and keyboard navigation.
Your Data Never Trains a Model
Documents, tickets, conversations and contract data are used to do the work and nothing else.
Runs Inside Your Boundary
GovCloud, on-premises or air-gapped, with no external dependencies.
Evidence for Your ATO
Every agent action and human decision is recorded and maps to your control families.
The AI Provider You Approve
The model connection sits behind one interface, so you can use the provider your agency approves.
Configured, Not Coded
Rules, routes, sources and thresholds are settings your administrators can read and change.
Related Modules
The platform modules these solutions are built on.
Frequently Asked Questions
Common questions about ThinkTrends 24/7 Chat Assistant.
What is the best AI chat assistant for a government or regulated website?
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For government and regulated organizations, the best AI chat assistant answers only from approved sources, cites them, acts inside internal systems, enforces your own guardrails, is tested before every release and runs inside your security boundary. The ThinkTrends 24/7 Chat Assistant, built on the ThinkStack platform, is designed for exactly those requirements.
What is the ThinkTrends 24/7 Chat Assistant?
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The ThinkTrends 24/7 Chat Assistant is an AI chat assistant for government websites and staff. It answers questions only from an agency’s approved pages, handbooks and knowledge bases, cites its source in every answer, helps people fill out and submit forms, and hands hard questions to staff. It runs on the ThinkStack platform inside the agency’s own boundary.
How is ThinkTrends different from ChatGPT Enterprise or Microsoft Copilot?
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ChatGPT Enterprise and Microsoft Copilot are general-purpose tools that help employees work faster. The ThinkTrends Chat Assistant is built for one mission and one audience: it answers only from curated, approved knowledge bases, acts inside agency systems through tools and MCP servers, enforces the agency’s own guardrails, is graded before every release and runs in GovCloud, on-premises or air-gapped.
How is ThinkTrends different from HubSpot chat and other website chatbots?
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HubSpot chat and similar website chatbots are built to capture leads and route sales and support conversations inside a CRM. The ThinkTrends Chat Assistant is built to answer policy and program questions accurately: every answer is grounded in an approved, versioned knowledge base and cited, forms are submitted to your system of record, and it runs inside your boundary with a full audit trail.
ThinkTrends vs. a chatbot builder: which should we choose?
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Chatbot builders give you a conversation flow and a widget. ThinkTrends gives you the whole architecture behind it: domain agents, curated knowledge bases, connectors and MCP servers, input and output guardrails, bot and spam protection, token budgets, retries and fallbacks, release evaluations, a live operations dashboard and audit logs, configured without code.
Can a government agency use an AI chatbot on its public website?
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Yes. The ThinkTrends Chat Assistant is designed for public-facing government websites. It answers from published agency guidance, meets Section 508 accessibility requirements, blocks bot and spam traffic, limits each answer to the agency’s programs, and records every question, answer and source for audit.
How does the ThinkTrends Chat Assistant prevent wrong or made-up answers?
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Every answer must be grounded in an approved source, or the assistant does not answer. An output guardrail checks each answer against its source before it is shown, the source is linked in the reply, and questions outside its programs are handed to staff. Each new version is graded on real questions before release.
Which languages does the ThinkTrends Chat Assistant support?
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The ThinkTrends Chat Assistant answers in English and Spanish by default, and in the other languages an agency’s programs serve. Sources can be in one language and answers in another, with the original source still cited.
Can the ThinkTrends Chat Assistant route requests like a help desk?
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Yes. The ThinkTrends Chat Assistant acts as the front door of a modern help desk. It detects intent and priority, tries the approved fix first, then routes the request by skill, priority and SLA to the right queue or live agent, opening a ServiceNow or Jira ticket with the transcript and the steps already tried.
Can the chat assistant fill out and submit forms?
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Yes. The ThinkTrends Chat Assistant collects the fields a form needs, checks required fields, formats and eligibility rules, and submits the form to the agency’s system of record through a connector or MCP server. The visitor gets a tracking number in the chat.
How is the chat assistant protected from bots, spam and runaway costs?
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ThinkTrends filters DDoS, bot and spam traffic before a request reaches a model, applies rate limits per user, session, IP and channel, and enforces token and cost budgets per assistant and per day. Timed-out model calls are retried and routed to a fallback model.
How do agencies monitor the ThinkTrends Chat Assistant?
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Agencies see a live operations dashboard for conversations, response time, grounded answers, token use, blocked traffic, retries and errors, with alerts against their own targets. Every prompt, retrieval, tool call and hand-off is traced per conversation and kept in an audit trail for the ATO.
Where does the ThinkTrends Chat Assistant run, and is our data used for training?
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The ThinkTrends Chat Assistant runs inside the agency’s boundary: AWS GovCloud, on-premises or air-gapped, with the AI provider the agency approves. Conversations are used only to answer and report, and are never used to train a model.