AGENTS / WORKFLOWS / INTEGRATIONS
Affordable AI automation agency for U.S. businesses
We help U.S. businesses automate repetitive work, from sorting inquiries to extracting invoice details and finding answers in company documents. We build AI workflows, assistants, and system integrations around one clear task first, with human review for important decisions and a way to handle failures.
For repetitive work with a clear input and review step
Priority 01A clear, useful first release
01 / Process map & working automation02 / Tool connections & human review03 / Test results & operating guide
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
Focused workflow automation
Document processing workflows
Knowledge and RAG systems
Approved business-system integrations
Evaluation and monitoring
SPECIALIST SUB-SERVICE
Need a custom AI chatbot?
See the chatbot options, what a first release could include, and how we connect it to your content and support team.
WORKFLOW AUTOMATION
Start with one task your team repeats
For example, an inquiry workflow can collect a message, identify the request, draft a summary, and send it to the right person. We use fixed rules for predictable steps and AI where the work involves varied language or documents.
- 01
Process mapping
Inputs, actions, decisions, approvals, exception paths, systems, and responsible people are documented before implementation.
- 02
Rules, models, and tools
Use fixed rules for predictable steps, such as sending a request to the right inbox. Use AI to interpret varied text, then check its output before the next action.
- 03
Exceptions and human review
Low-confidence, sensitive, unusual, or failed cases can be routed to a person instead of being silently completed.
AGENTS
Give an AI agent a clear job and limited access
An AI agent can use connected tools to carry out steps in a task. We define what it may read or change, when it must ask for approval, and when it should stop. Your team can review its actions and resolve exceptions.
01
Customer and team assistants
Assistants can answer approved questions, collect structured context, retrieve permitted information, or hand the conversation to the responsible team.
02
Operational agents
Where authorized, agents can prepare drafts, classify work, update connected systems, or trigger approved steps with logs and review gates.
03
Evaluation and monitoring
Representative test cases, quality criteria, tool traces, failure categories, cost, latency, and user feedback provide evidence for iteration.
DOCUMENTS & KNOWLEDGE
Turn documents into usable records and answers
An invoice workflow can extract supplier names and totals for review. A knowledge assistant can search company documents and link to the source of an answer. Both need current information, access controls, and a clear response when data is missing.
Connected deliveryAutomate
Document workflows
Approved documents can be classified, extracted, validated, routed, and prepared for a connected system while uncertain fields wait for review.
Knowledge assistants and RAG
Retrieval-augmented generation (RAG) searches your approved documents before drafting an answer. It can link to the source and should say when the information is missing.
Data and security boundaries
The scope identifies which data may enter each provider, who can access outputs, what is logged, and what retention or deletion controls are needed.
EXAMPLE ENGAGEMENT
Turn an incoming request into work your team can act on
- 01 / Your starting point
- A message or form submission with the customer’s request.
- 02 / What we build
- A workflow that extracts details, prepares a summary, and routes it for review.
- 03 / What you receive
- A connected workflow, example tests, and instructions for exceptions and updates.
Illustrative scope, not a client case study or fixed-price package.
AUTOMATION SERVICES
What our AI automation service includes
We map the task, build the workflow, connect the required tools, and test it against realistic examples. The scope can include assistants, document processing, knowledge search, and monitoring. You only need the parts that support your chosen task.
01
Workflow discovery and mapping
Document the repetitive task, inputs, rules, AI judgment, approvals, exceptions, existing systems, responsible people, baseline, and agreed test results before implementation.
02
Focused workflow automation
Connect rule-based steps and carefully limited model steps so routine work can move forward while unusual, sensitive, or failed cases wait for review.
03
AI agents and assistants
Build a defined assistant or agent that retrieves permitted information, prepares structured work, uses only approved tools, and has a visible stop or handoff condition.
04
Document processing
Classify, extract, validate, and route approved documents while uncertain fields, missing evidence, or business exceptions remain visible to a person.
05
Knowledge and RAG systems
Ground answers in approved sources, return useful references, respect access rules, and expose when the available evidence does not support an answer.
06
Evaluation and monitored operation
Test representative work, track important failures, latency, usage cost, exceptions, and human review, and use that evidence to decide the next change.
COMMON WORKFLOWS
Practical ways to use AI in daily work
The examples below show tasks that fit our automation services. Choose one where your team can explain the current process, supply sample inputs, and review the results before it handles more work.
01Support intake and triage
Collect structured context, identify the broad request, retrieve approved guidance, and prepare a handoff while the support team keeps final authority.
02Document classification and extraction
Identify a document type, extract approved fields, validate expected formats, and route uncertain or incomplete records for review.
03CRM preparation and updates
Prepare structured notes or updates for an approved CRM workflow when the API, permissions, ownership, duplicate rules, and failure path are confirmed.
04Internal handoffs and notifications
Summarize the approved context, apply fixed routing rules, notify the responsible person, and keep the source and decision trail visible.
05Knowledge retrieval
Help an approved user search internal information, cite useful sources, and disclose missing or conflicting evidence instead of inventing an answer.
06Draft and review workflows
Prepare a draft for a defined task, classification, or recommendation from approved inputs and place it in a human review step before it becomes an authoritative action.
CONTROL & RELIABILITY
Keep people in control of important decisions
Agree which actions can run automatically and which need approval. If the model gives an unsupported answer or a connection fails, the workflow should flag the issue and let a person continue the work. We plan and test those paths.
Human review and escalation
Define which cases can proceed, which need approval, who receives an exception, and how work continues if the AI or integration is unavailable.
Permissions and data boundaries
Limit the users, sources, fields, tools, credentials, logs, retention, and system changes available to each part of the workflow.
Evaluation and monitoring
Use representative normal, difficult, missing, stale, conflicting, and unsafe cases to measure useful quality and detect regressions.
Failure handling and ownership
Record validation failures, integration errors, low-confidence outputs, duplicate risks, and the person responsible for resolving each category.
EXAMPLE SCOPES
What a first automation project could look like
These are illustrative starting points, not client case studies or fixed-price packages. Each completes a small task and gives your team a way to check the result before deciding whether to expand.
- 01
Support triage pilot
One intake form or assistant captures the issue, retrieves approved guidance, prepares a summary, and hands the request to a person for the final response.
- 02
Document extraction pilot
One document type and a small field set move through extraction, validation, exception review, and an approved export or system-preparation step.
- 03
Cited knowledge assistant
One curated source collection supports approved users with source references, missing-evidence behavior, feedback, and a representative evaluation set.
- 04
CRM update preparation
One approved event produces a structured note or field update for human review before the existing CRM receives the change.
AFFORDABLE AI AUTOMATION
Keep costs down by starting with fewer connections
A focused automation is easier to build and test than one connected to every part of your business. Start with one task, the data it needs, and a review step. Add more document types, tools, or users after you know the first version is useful.
- 01
One workflow and owner
Choose the repetitive task with the clearest volume, pain, manual baseline, exception path, and accountable business owner.
- 02
Small data and integration surface
Start with the minimum approved sources and system fields needed for the first useful result instead of connecting the entire operation.
- 03
Limited action authority
Prepare a draft, classification, extraction, or system update for review before paying to make the automation more autonomous.
- 04
Phased expansion
Add volume, document types, teams, tools, or system actions only after the first workflow passes its evaluation and operating review.
100+Projects delivered over the last eight months
WHY CATAPULT
Built to become your first-choice AI automation 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. Every automation project receives personal guidance through scope, controls, implementation, evaluation, launch, and the next decision.
Workflow before technology
We clarify the business task, rules, source data, permissions, owner, exceptions, and agreed test results before committing to the automation design.
Connected technical delivery
AI behavior, application logic, data, system integrations, human review, testing, deployment, and handoff are treated as one operating workflow.
Evidence before expansion
Working slices, representative tests, errors, usage cost, latency, and human feedback remain visible before more access or authority is added.
AUTOMATION COST
What affects your automation quote?
Reading a public FAQ takes less work than handling private records or changing data in a CRM. Your quote depends on the task, source data, integrations, testing, and launch support. We also identify provider usage fees and ongoing maintenance separately.
Workflow and exception depth
The number of steps, decisions, inputs, roles, approvals, unusual cases, and manual continuation paths shape discovery and implementation.
Data and integration scope
Source cleanup, private data, permissions, APIs, authentication, field mappings, rate limits, retries, duplicates, and audit needs add work.
AI and evaluation scope
The model task, retrieval, structured outputs, tools, test cases, quality criteria, latency, observability, and severe-error review affect the build.
Launch and ongoing operation
Environments, volume, monitoring, provider usage, human review, incidents, source changes, support expectations, and future improvements affect build and running costs.
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 workflow
Define the current steps, volume, exceptions, risks, owner, and success criteria before selecting a model or automation platform.
- STEP 02
Design data and control boundaries
Agree permissions, approved sources, tools, human gates, logging, retention, error handling, and the systems that may be changed.
- STEP 03
Prototype and evaluate
Test representative normal, difficult, and unsafe cases; measure useful quality, failures, latency, and cost before expanding access.
- STEP 04
Release, monitor, and improve
Introduce the workflow to a controlled user group, monitor behavior, review exceptions, and update evaluations as data or models change.
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 automation 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 & automation
Find answers about scope, cost, and working with us. For a question about your project, send us a brief through the project form.
01What AI automation services does Catapult provide?
We provide focused workflow automation, controlled AI agents and assistants, document processing, knowledge and RAG systems, approved business-system integrations, and evaluation and monitoring. We combine them only when the approved workflow needs them.
02What business processes can you automate?
Candidates include document handling, structured data entry, CRM updates, internal handoffs, notifications, knowledge retrieval, and support triage. We confirm suitability only after mapping risks, exceptions, and system access.
03Can automation connect to our existing tools?
Potentially. We review the available APIs, authentication, permissions, rate limits, and failure behavior before confirming which tools can be connected safely.
04Can you add an AI assistant to an existing website?
Yes, when the content, permissions, escalation path, privacy requirements, and integration scope are defined. The assistant can answer from approved information and hand appropriate conversations to your team.
05How do you control inaccurate AI output?
No model is treated as error-free. Controls can include approved retrieval sources, structured outputs, validation rules, representative evaluations, confidence or exception handling, human approval, monitoring, and clear user messaging.
06Is Catapult a low-cost AI automation agency?
We plan affordable, scope-based delivery by starting with one measurable workflow, a small set of sources and connections, limited action authority, and explicit human review. Editorial budget examples are not fixed Catapult package prices.
07How is an AI automation project priced?
Contact us for pricing. Scope depends on the workflow, data, integrations, model and infrastructure choices, evaluation requirements, security controls, user interface, monitoring, and ongoing support.