AI AUTOMATION / CHATBOTS / HUMAN HANDOFF
Affordable AI chatbot development company for U.S. businesses
We build AI chatbots that answer questions, collect inquiry details, and help teams find information in their documents. Our remote agency serves U.S. businesses with custom website and internal assistants. We start with one clear job, connect the information it needs, and make it easy to reach a person.
For repeated questions and inquiries that need a clear handoff
Priority 01A clear, useful first release
01 / Conversation & knowledge setup02 / Website chatbot & agreed connections03 / Answer tests & support handoff
100+projects delivered over the last 8 months
#1 PRIORITY
A complete, useful first release that your team can review, launch, and own.EXPERIENCED SPECIALISTS
A team made up of people with extensive technical experience in their fields.PERSONAL GUIDANCE
Direct, practical guidance through planning, technical decisions, delivery, and launch.WHAT WE DELIVER
What we build
Custom website chatbot development
Knowledge and RAG assistants
Internal team assistants
Structured intake and support triage
Approved CRM and system integrations
AI CHATBOT SERVICES
What is included in a chatbot project?
We plan the conversations, build the interface, prepare the knowledge sources, and test the answers and handoff. If the chatbot needs to read or update another system, we check that connection before including it in your quote.
- 01
Scope and discovery
Define who the chatbot serves, which questions or tasks it should handle, what it must not do, where a person takes over, and how the first release will be reviewed.
- 02
Conversation and interface design
Design the opening prompt, common paths, follow-up questions, fallback states, source links, structured fields, mobile behavior, accessibility, and human handoff.
- 03
Custom chatbot development
Build the approved website or internal chat experience and the controlled server-side logic that connects the interface, model, knowledge, and business rules.
- 04
Knowledge and RAG setup
Retrieval-augmented generation (RAG) searches selected pages or documents to help answer a question. We prepare those sources and test when the chatbot should answer or ask a person for help.
- 05
Approved system integration
When an existing API supports the workflow, prepare or retrieve permitted information from a CRM or business system with explicit permissions and failure handling.
- 06
Evaluation and scoped support
Test representative questions, difficult cases, unsupported requests, handoffs, latency, and usage cost, then define the agreed launch and support responsibility.
CHATBOTS WE BUILD
Choose a chatbot for the task you need to solve
A public FAQ bot and an internal document assistant serve different users and need different access. These four options cover the chatbot work we provide. We adapt the conversation, sources, and handoff to your team.
01Website FAQ and support assistant
Answer recurring questions from approved public content, guide visitors to the right page, collect missing context, and make the route to a person easy to find.
02Knowledge and RAG assistant
Help an approved user search a defined source collection, return grounded answers with useful references, and disclose when the evidence is incomplete.
03Internal team assistant
Help a team retrieve approved procedures or working information while respecting the source, user, permission, and retention rules defined for the project.
04Structured intake and triage assistant
Collect a bounded set of details, identify the broad request, retrieve approved guidance, and prepare a clean handoff without making the final business decision.
CAPABILITIES
Help users get an answer or reach the right person
A useful chatbot can ask a follow-up question, show the source of an answer, or collect details for support. It should also recognize when it cannot help. We test those situations alongside successful conversations.
Grounded answers and source references
Use approved website pages, documents, or records as the answer source and make the fallback clear when the available evidence does not support a response.
Clarification and structured context
Ask for the missing details and turn the conversation into consistent fields for an inquiry, support request, or internal workflow.
Human handoff
Route user-requested, sensitive, uncertain, unsupported, or failed conversations to the agreed contact or support path with useful context attached.
Permission and data controls
Separate public information from internal data and keep access, identity, transcript handling, retention, and deletion inside the approved boundary.
Restricted system tools
Allow only the agreed actions and fields, validate structured inputs, record outcomes, and keep higher-risk changes behind human review.
Evaluation and monitoring
Track answer quality, unsupported claims, handoff behavior, integration errors, latency, usage cost, and user feedback against representative tests.
EXAMPLE ENGAGEMENT
Answer a question, then hand over the right details
- 01 / Your starting point
- A visitor’s question and your approved website content or documents.
- 02 / What we build
- A chatbot that finds relevant information, asks for missing details, and offers a human handoff.
- 03 / What you receive
- A tested chat experience, a source-update guide, and clear limits on what the bot can do.
Illustrative scope, not a client case study or fixed-price package.
CONNECTIONS
Connect your website, documents, and business tools
We can place the chatbot on your website or inside an application and connect selected information sources. CRM and other software connections depend on the available API, the access you can provide, and the actions you want the chatbot to perform.
Connected deliveryAI Chatbots
Websites and web applications
Place a responsive chat experience inside a public website, customer-facing web application, or internal tool with the approved analytics and accessibility behavior.
Approved knowledge sources
Use selected web pages, documents, policies, product information, or internal guidance with a defined source owner and update process.
CRM workflows
Prepare or retrieve permitted information when the CRM API, authentication, field mapping, duplicate handling, and ownership support the required flow.
Business-system APIs
Retrieve or prepare only the permitted information through restricted server-side tools rather than exposing credentials or unrestricted data access to the model.
EXAMPLE SCOPES
Examples of a useful first chatbot release
Start with one audience and a question or task they repeat. These examples show possible first releases; they are not client case studies or fixed-price packages. The final scope depends on your content and systems.
01
Public FAQ and contact handoff
One website chatbot answers from an approved FAQ set, links to supporting pages, declines unsupported topics, and sends the visitor to the existing contact route.
02
Cited knowledge pilot
A selected document collection supports a website or internal assistant with source references, user feedback, difficult test cases, and a decision to improve, expand, or stop.
03
Structured project intake
A short conversation collects the required project details and prepares a clean handoff without promising a price, schedule, or acceptance decision.
04
Support request preparation
The assistant identifies the request category, retrieves approved guidance, prepares a concise summary, and leaves the response or system change with the support team.
AFFORDABLE DELIVERY
Start small to keep chatbot development affordable
A website FAQ assistant with a clear support handoff is a smaller project than a bot serving several teams and updating private records. Launch the main conversation first, then add sources and integrations where usage shows a need.
- 01
One conversation job
Start with the highest-value recurring question, intake flow, knowledge task, or support handoff instead of trying to automate every conversation.
- 02
One approved source set
Use a small, current, owned collection before paying to clean, permission, and evaluate a large document collection.
- 03
One launch channel
Prove the experience on the main website or internal tool before adding more interfaces or system connections.
- 04
Visible exclusions
Keep unsupported topics, sensitive decisions, extra integrations, and later phases outside the first quote unless they are essential to the agreed outcome.
100+Projects delivered over the last eight months
WHY CATAPULT
Built to become your first-choice technical partner
Our broader team has delivered 100+ projects over the last eight months and is made up of people with extensive technical experience in their fields. You receive personal guidance through scope, engineering, evaluation, launch, and the next decision.
Connected AI and software work
The chatbot interface, application logic, knowledge, data boundaries, integrations, testing, deployment, and handoff are planned as one product.
A reviewable first release
Working conversation paths and representative tests make progress visible before more users, data, integrations, or authority are added.
Practical ownership
The proposal defines the accounts, data, content, code, deployment, third-party costs, support responsibilities, and change process that apply to your scope.
CHATBOT COST
What affects your chatbot quote?
The main costs come from preparing content, designing conversations, connecting systems, and testing difficult questions. Your quote separates the build from model usage, hosting, source updates, and any ongoing support.
Content and conversation depth
The number and quality of sources, user groups, conversation paths, structured fields, fallback states, and review rounds shape the work.
Data and integrations
Private information, authentication, permissions, CRM or business-system connections, retries, duplicates, and audit needs add engineering and testing.
Evaluation and launch
The test set, quality criteria, difficult cases, environments, traffic, analytics, monitoring, and rollback responsibility affect release effort.
Ongoing operation
Model usage, provider fees, source updates, transcript review, incidents, support expectations, and later changes should be budgeted separately from the initial build.
DELIVERY
From a clear scope to a reviewable launch
The exact activities change with the service, but every project needs explicit decisions, working review points, acceptance criteria, and an owner for what happens after launch.
- STEP 01
Choose one measurable chatbot job
Define the users, recurring need, approved outcome, exclusions, human owner, source material, and evidence that will make the first release useful.
- STEP 02
Design data and control boundaries
Agree the conversation paths, clarification, fallback, handoff, permissions, transcript handling, system tools, logging, and actions the chatbot may not take.
- STEP 03
Build and evaluate
Implement the interface, knowledge, server-side controls, and approved connections, then test normal, difficult, unsupported, sensitive, and failure cases.
- STEP 04
Release, monitor, and improve
Launch through the agreed channel, verify real behavior, review failures and feedback, and prioritize the next change from evidence.
PROCESS & INTERFACES
See how the work is organized before you commit.
See what happens at each project stage and what you will review. You can also try our interface concepts to explore the design and interactions. The concepts are demonstrations, not client case studies.
SCOPE-BASED PRICING
Get an estimate for your AI chatbot project.
Contact us for pricingTell us what you need to build, what you already have, and your budget and timing. We will explain the recommended first version, what the quote includes, and which features can wait.
Send your briefCOMMON QUESTIONS
Questions about ai chatbot development
Find answers about scope, cost, and working with us. For a question about your project, send us a brief through the project form.
01What kinds of AI chatbots does Catapult provide?
We provide website FAQ and support assistants, knowledge and RAG assistants, internal team assistants, and structured intake or triage assistants. A scope can combine these only when the content, workflow, permissions, and operating owner are clear.
02Can the chatbot answer from our website or documents?
Yes. We can prepare approved website content or documents as a controlled knowledge source, define how it is updated, test difficult questions, and make the fallback clear when the source does not support an answer.
03Can it connect to our CRM or business software?
Potentially. We first review the available API, authentication, permissions, fields, rate limits, duplicate handling, failure path, and data ownership. The connection is included only when those requirements support the approved workflow.
04How do you reduce inaccurate chatbot answers?
No AI model is error-free. We can use approved sources, retrieval, structured responses, validation, restricted tools, refusal and handoff rules, representative evaluations, monitoring, and clear user messaging.
05Is Catapult a low-cost AI chatbot development agency?
We design for affordable, scope-based delivery by starting with one complete outcome and keeping later content, integrations, and authority outside the first release. We do not present editorial budget examples as fixed Catapult prices.
06How long does AI chatbot development take?
Timing depends on source readiness, conversation depth, interface work, approved integrations, permissions, evaluation, launch environment, and review availability. We provide a schedule after the first scope and dependencies are confirmed.
07Do you support the chatbot after launch?
Support can be included in the proposal. The agreed scope can cover monitoring, source or prompt changes, integration updates, regression testing, provider changes, incidents, and prioritized improvements.
08How much does custom AI chatbot development cost?
Contact us for pricing. The quote is based on the approved conversation, content, interface, data, integrations, evaluation, launch, usage, monitoring, and support responsibilities.