AI solutions designed to work with your team
AI Agents for Business: A Digital Team That Understands Your Business and Gets Things Done
Imagine managing customer inquiries, organizing incoming requests, and following up on sales opportunities without having your team repeat the same manual steps every single day. At HOWEYA, we provide AI Agent Development Services that help businesses turn conversations, information, and routine tasks into organized, actionable workflows. We build each AI agent around the way your team actually works — from welcoming customers and qualifying sales opportunities to coordinating internal operations.
- Knowledge tailored to your business
- Integration with available business systems
- Clear permissions and human oversight
Your Business Knowledge
Services, products, and policies
Communication Channels
Website, WhatsApp, and phone
Your AI Agent
Understands • Coordinates • Executes
Business Tools
CRM, calendar, and tasks
Team Oversight
Human review when needed
Clear Information from the First Interaction
Collect customer details and request information within one organized context.
Follow-Ups That Stay Connected Across Systems
Turn customer details into organized records, assigned tasks, and clear next steps.
Human Decisions Whenever They Matter
Direct exceptional or sensitive situations to the appropriate team member.
Less Time Spent on Repetitive Work. More Focus on Growing Your Business.
Every business handles countless routine activities that may seem simple individually but consume valuable employee time throughout the day. From answering customer inquiries to recording information and following up on requests, AI Automation for Business helps organizations simplify these activities and connect the different stages of their operations within more structured workflows.
A digital employee powered by artificial intelligence operates within a defined scope. It receives relevant information, processes permitted requests, and directs situations that require human attention to the right person.
Customer Response
Faster, More Organized Customer Responses
Don’t make customers explain their needs from the beginning every time. An AI agent can receive inquiries, understand the purpose of each request, and provide relevant information based on your company’s approved knowledge sources.
- Classify inquiries by purpose and category
- Provide answers using your verified information
- Route requests to the right department or employee
Sales Follow-Up
A More Structured Approach to Sales Opportunities
Every potential customer deserves a clear, consistent follow-up. Instead of leaving details scattered across conversations and spreadsheets, AI agents help organize them within the appropriate sales tools.
- Collect essential prospect information
- Identify the requirements of each opportunity
- Create follow-up tasks according to permissions
Business Operations
Better-Connected Business Operations
From receiving a request to understanding what happens next, AI agents help connect repetitive activities, keep request statuses visible, and prepare useful summaries for your team to review.
- Organize recurring tasks across departments
- Track the status and progress of requests
- Prepare reports and summaries for decisions
Design Your AI Agent Now
Tell us the task that consumes your team's time, and we'll help turn it into an AI agent that works under your supervision.
02 / Digital Roles Tailored to Your Business
Different Departments. Different Challenges. AI Agents Built for Each Task.
Your business may need a better way to manage customer communication, while another may want to improve sales follow-ups or coordinate internal operations. That's why we don't offer one ready-made solution. Our Custom AI Agents for Business are designed around the nature of each activity, the information involved, and the procedures your teams follow — each with a clearly defined responsibility.
01 / Sales
AI Sales Agent — Turning Customer Interest into Organized Opportunities
An AI Sales Agent can help businesses manage early customer interactions, organize inquiries, and prepare qualified opportunities for their sales teams. From the customer’s first question to collecting requirements and preparing the next step, the agent supports a more consistent sales process — answering initial questions, qualifying prospects, and organizing new opportunities in your CRM.
Potential Responsibilities
- Receive inquiries from prospective customers
- Collect contact details and requirements
- Categorize opportunities by your criteria
- Prepare summaries for sales representatives
- Create tasks for timely follow-ups
Expected Outcome: Documented opportunities with complete information and a clearly defined next step.
02 / Customer Service
AI Customer Service Agent — More Consistent Support, Better-Organized Requests
A positive customer experience begins with clear, helpful answers. An AI Customer Service Agent can use your approved knowledge base to answer common questions, classify incoming inquiries, collect the information needed, and transfer complex situations to the appropriate employee — supporting your team rather than acting as a set of predefined replies.
Potential Responsibilities
- Respond to frequently asked questions
- Explain services, policies, and procedures
- Classify complaints and general inquiries
- Collect information for support requests
- Transfer cases with a conversation summary
Expected Outcome: Better-organized inquiries and a more consistent support experience.
03 / Operations
Digital Operations Assistant — Connecting Tasks and Reducing Information Gaps
Operations often involve repeated manual work, especially when employees move information between tools or departments. A digital operations assistant can organize internal requests and support AI Workflow Automation by connecting repetitive activities with the right systems — within clearly established permissions.
Potential Responsibilities
- Convert forms and requests into structured tasks
- Prepare reminders for required follow-ups
- Update statuses across connected systems
- Summarize open requests and pending work
- Route incomplete or exceptional cases
Expected Outcome: Clearer processes with less dependence on manual data handling.
04 / Marketing
Digital Marketing Assistant — From Content Ideas to Ready-to-Review Drafts
A digital marketing assistant can prepare ideas, organize inputs, develop drafts, and align initial content with your brand identity and communication guidelines. It does not replace human creativity or final editorial decisions — it prepares materials so your team can review, improve, and approve them.
Potential Responsibilities
- Suggest content and campaign ideas
- Prepare initial social media drafts
- Organize campaign themes and topics
- Develop product and service descriptions
- Summarize content performance
Expected Outcome: Organized drafts ready for review by your marketing team.
Internal Knowledge
Digital Knowledge Assistant — Making Company Information Easier to Access
Important information is often spread across documents, policies, and procedures. A digital knowledge assistant helps employees find relevant information within approved sources, while respecting the access permissions assigned to each role.
Potential Responsibilities
- Search approved manuals and documentation
- Explain internal procedures and guidelines
- Answer employee questions from authorized sources
- Summarize documents the user may access
- Reference information sources
Expected Outcome: Easier access to company knowledge and less time spent searching.
06 / Management & Reporting
Digital Administrative Assistant — Turning Business Information into Reviewable Insights
A digital administrative assistant can collect available information, organize operational data, and prepare periodic reports or performance summaries — while responsibility for final business decisions stays with your management team.
Potential Responsibilities
- Summarize progress across projects
- Prepare periodic operational reports
- Identify delayed or overdue tasks
- Organize performance indicators
- Highlight items needing management attention
Expected Outcome: Organized information that supports monitoring and informed decisions.
Additional Specializations for Customer Communication
WhatsApp, Reception, and Voice Calls — The Right AI Agent for Every Channel
An AI agent's responsibilities depend on the work it needs to perform and the integrations available, rather than simply on the name of the communication channel.
WhatsApp AI Agent
A WhatsApp AI Agent handles incoming messages through eligible WhatsApp Business accounts — gathering requirements, explaining your services, answering common inquiries, and guiding each conversation toward a useful next step.
AI Receptionist
An AI Receptionist supports frequent inquiries about appointments, bookings, and availability — gathering booking details, clarifying requests, and preparing new reservations or changes for your reception team.
AI Voice Agent
An AI Voice Agent answers incoming inquiries, identifies the reason for each call, collects relevant details, and prepares a concise summary so the right employee can take over.
- The Approach: Each communication role is designed around your customer's journey, with a clear handoff between automated assistance and your team.
- Your Digital Workforce — An Organizational View
From One AI Agent to a Digital Team Built Around Your Business
A company can begin with a single AI role and gradually expand into a broader Digital Workforce. Building AI Digital Employees for different departments requires defined responsibilities, suitable permissions, and a clear process for exchanging information — while sensitive decisions and approvals stay under human control.
Your Proposed Digital Team Structure
- Functional roles — not real employees
Digital Operations Coordinator
Digital Data Analyst
Digital Sales Assistant
Digital Support Assistant
Digital Marketing Assistant
Digital Knowledge Assistant
Design Your Digital Team with HOWEYA
Start with your most important task, and we'll define the right digital role, knowledge, and tools with you.
03 / Knowledge + Tools + Procedures
An AI Agent That Knows Your Business, Connects with Your Systems, and Follows Your Rules.
The real value of an AI agent goes beyond producing written answers. To contribute meaningfully, it needs relevant information, suitable tools, and clearly defined rules. At HOWEYA, designing Custom AI Agents for Business involves three connected elements: company knowledge, system integrations, and operational permissions.
Second / Integration
Knowledge: Answers Built Around Your Company's Information
We organize the knowledge sources the agent needs — from product and service details to internal policies and approved procedures.
- Products, services, and FAQs
- Sales terms, returns, and refund policies
- Internal procedures and operating guidelines
- Approved company documents
- The Benefit: Responses that reflect your organization, its services, and its policies.
Second / Integration
Integration: Connected Business Tools Instead of Isolated Systems
We review your team’s tools — including API access, account configurations, and provider requirements — to map the most practical connections.
- CRM platforms and business websites
- WhatsApp Business
- Booking systems and calendars
- Project and task management
- Online forms and shared files
- The Benefit: A clearer flow between conversations, records, and tasks.
Third / Permissions
Permissions: Controlled Execution with Clear Human Oversight
We define what each role can access, the procedures it may execute, and the situations that require approval from a human employee.
- Access to authorized information only
- Execution of defined routine tasks
- Human approval before sensitive actions
- Escalation of exceptional cases
- The Benefit: Automation that can be managed, reviewed, and controlled.
Practical Scenario
From the Customer's First Message to the Next Action in Your System.
AI Workflow Automation connects the stages of a request so each action contributes to the next step. Imagine a potential customer contacting your company through its website to ask for a quotation — here's how the journey moves from inquiry to a documented opportunity and clear follow-up.
STAGE 01
Receiving the Request
A customer submits an inquiry through your website or WhatsApp. The agent identifies the requested service and begins collecting essential information.
What happens?
- Read the inquiry in the connected channel
- Identify the service and missing details
- Prepare questions to complete the request
Output: An initial request with a clearly identified purpose.
STAGE 02
Understanding Requirements
The agent refers to approved knowledge to understand the relevant service and may ask about project size, timeline, or specific requirements.
What happens?
- Access authorized service information
- Collect project details and requirements
- Prepare an initial classification
Output: Enough information to categorize the inquiry.
STAGE 03
Organizing Information & Follow-Up
In a connected CRM scenario, the agent creates a record and prepares a follow-up task for the responsible team member.
What happens?
- Check the collected information
- Register the opportunity in the CRM
- Create a task and assign an owner
Output: A documented opportunity with a defined follow-up.
STAGE 04
Human Intervention When Needed
For a custom quotation or management decision, the agent transfers the request with a summary of the conversation and completed steps.
What happens?
- Identify cases needing human approval
- Summarize conversation and actions
- Direct the case to the decision-maker
Output: A clear handover that preserves context.
04 / HOWEYA's Approach to Digital Solutions
We Don't Start with the Technology. We Start by Understanding What Your Business Needs.
Choosing an AI tool is not enough to build a solution that works in a real business environment. Success depends on understanding how your organization operates, where processes become inefficient, and how employees interact with requests, information, and systems every day.
At HOWEYA, AI development begins with studying your requirements before defining the digital role, integrations, and operating rules — so the solution can be tested, evaluated, and improved rather than adding another layer of complexity.
Your
Business
Needs
1
Request Journey
2
Repetitive Activities
5
Success Criteria
3
Existing Systems
4
Information Quality
5
Success Criteria
05 / From Idea to Operational Deployment
AI Agent Development Built Around Clear, Testable Steps.
For an AI agent to become a useful part of your operations, development follows a structured process — from defining the business problem through knowledge preparation, development, testing, and ongoing improvement. We implement gradually, so the solution is evaluated before its responsibilities expand.
Understanding Your Business Requirements
We examine the task, its inputs and expected outputs, and the people and systems involved.
Deliverable: A clearly defined scope with measurable objectives.
Preparing Knowledge and Procedures
We organize approved sources and set the instructions, rules, permissions, and exceptions.
Deliverable: Reliable knowledge and documented operating guidelines.
Developing and Integrating the Agent
We build the agent’s role, prepare its actions, and test the integrations your systems support.
Deliverable: An operational version within the agreed scope.
Testing Real-World Scenarios with Your Team
We review common and unexpected situations, response accuracy, permitted actions, and human handoffs.
Deliverable: Documented findings and improvements before launch.
Launching and Monitoring Performance
We prepare your team, review results and indicators, and update knowledge based on real use.
- Deliverable: A solution that can be monitored and progressively improved.
AI Digital Employee Packages
Start with Your Most Important Task. Expand as Your Needs Grow.
Requirements differ by departments, channels, existing systems, and level of automation. These are three initial project scope options to help you plan; final details are confirmed after reviewing your needs and technical requirements.
For businesses starting with automation
Launch
Start with your first digital employee.
For exploring automation through one clearly defined task.
- Pricing after evaluating project scope
- One specialized AI agent
- One primary communication channel
- Approved knowledge sources set up
- One clearly defined workflow
- Human handoff rules
- Initial operational testing
- Intro session for the agent's manager
For businesses that need follow-up
Growth
Connect communication, follow-ups, and operations.
For more than one digital role with sales or customer service integrations.
- Customized proposal based on requirements
- Two specialized digital roles
- More than one workflow
- Integrations per technical availability
- Customized knowledge base
- Customer qualification and follow-up
- Permission and exception testing
- Support and updates as agreed
For multi-department organizations
Integrated Digital Team
A connected digital workforce across functions.
Several specialized agents with coordinated responsibilities.
- Organization-specific proposal
- A group of specialized agents
- Task coordination between agents
- Multiple integrations per capability
- Permission rules and approvals
- Knowledge source management
- Performance indicators and reporting
- Agreed support and improvement plan
What Does Project Setup Include?
Setup scope is defined in the final agreement. Depending on requirements, it may include analyzing procedures, organizing knowledge sources, designing agents, preparing feasible integrations, testing, and training your team. Exact deliverables are confirmed before implementation.
How Is the Project Cost Determined?
- Third-party AI model usage, WhatsApp messaging, voice platforms, software licenses, and hosting may be billed separately from development. These costs, usage limits, and service conditions are specified in the commercial proposal before the project begins.
- 06 / Control and Monitoring
Intelligent Automation with Clear Boundaries. Decisions That Stay Under Your Control.
As AI takes on more responsibilities, permissions and review become essential to solution design. Some businesses use autonomous AI agents for several connected steps — an approach known as Agentic AI for Business. But greater autonomy isn't automatically better: it should reflect the sensitivity of the task, the available controls, and your ability to review or intervene.
Review: Sensitive Decisions Require Approval
We identify which actions run automatically and which go to an authorized employee for review.
- Approving custom quotations or offers
- Modifying important business data
- Approving content before publication
- Handling exceptional situations
Permissions: Access Based on Actual Responsibilities
Each agent receives access only to the information and tools its role requires.
- Specifically approved knowledge sources
- Authorized customer information
- Clearly permitted procedures only
- Separated permissions per department
Monitoring: Evaluate Performance Before Expanding
We review results to see whether the agent meets its objectives and where it can improve.
- Response times and data completeness
- Classification accuracy
- Cases transferred to employees
- Successful actions, errors, and corrections
07 / Questions Before Getting Started
Everything You Need to Know Before Developing an AI Agent for Your Business.
Clear answers about capabilities, integrations, costs, and the limits of automated task execution.
A traditional chatbot generally focuses on answering questions and providing information. A digital employee can be designed to support additional activities — collecting customer information, interacting with connected systems, creating tasks, and preparing follow-ups within its permissions. The real difference depends on how the solution is designed, not the marketing term used to describe it.
Yes, in many cases — provided that compatible interfaces, eligible accounts, and the necessary permissions are available. Capabilities depend on the CRM platform, WhatsApp Business provider, account configuration, and platform policies, so we review technical requirements before confirming scope.
It uses approved knowledge sources — your products, services, FAQs, policies, and procedures — which are connected to its workflow and tested through real business scenarios. When information changes, the sources are updated. Depending on the solution, the agent may retrieve information from a knowledge base without retraining a complete AI model.
Not necessarily, and it isn't recommended for every activity. Well-defined tasks may be automated when the right conditions and permissions exist, while sensitive decisions and unusual situations should go to authorized employees. The permitted level of autonomy is set before the solution goes live.
Cost depends on the number of agents, channels, integrations, workflow complexity, expected usage, and support needs. A budget may include setup and development plus separate operating costs for model usage, subscriptions, messaging, voice platforms, and hosting — so a tailored quotation is more accurate than one fixed price.
Yes. Starting with one clearly defined task is often the most practical way to assess value. The first agent can be tested, monitored, and improved before new roles, departments, or integrations are added.
Your first step toward better-organized operations
Start with One AI Agent. Build a Digital Operation That Grows with Your Business.
You don't need to redesign your entire way of working from day one. Identify the repetitive task that consumes your team's time, and let us help you explore how it could be automated through the right knowledge, integrations, and procedures.
At HOWEYA, we turn your idea into a structured implementation plan — keeping your team involved in the decisions that matter.
