Wallpay

AI applied to real processes

Automate customer service, sales, documents, and repetitive work without losing control.

We design AI agents connected to your business knowledge and tools so they can respond, classify, execute, and hand off when human judgment is needed.

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Direct answer

What is an AI automation solution for a business?

It combines artificial intelligence, business rules, and integrations to handle enquiries, organize information, or execute repetitive tasks. Wallpay designs it around a defined process and keeps people in control of decisions that require judgment.

What it addresses
Repetitive work, missed follow-ups, and scattered data.
How it works
It connects channels, business context, and tools through controlled workflows.
Where to begin
Choose a frequent, measurable process with usable information.

Practical applications

What this solution can address.

01

24/7 lead response and qualification

The scope adapts to your process, data, and available tools.

02

Scheduling and appointment reminders

The scope adapts to your process, data, and available tools.

03

Document extraction and processing

The scope adapts to your process, data, and available tools.

04

Internal knowledge assistants

The scope adapts to your process, data, and available tools.

05

Support-ticket classification

The scope adapts to your process, data, and available tools.

Capabilities

A foundation ready for real operations.

  • Context-aware agents
  • Multi-step workflows
  • Intent and sentiment analysis
  • Business knowledge bases
  • Controlled and secure deployment

Integrations

Connect the tools you already use.

  • WhatsApp Business API
  • OpenAI / Claude
  • Salesforce / HubSpot
  • Make / Zapier
  • Google Workspace
  • REST APIs

Process

From business need to a production solution.

  1. Phase 01

    Discovery and assessment

    1–2 weeks

    We map the current process, constraints, available data, and the business outcome the solution must support.

    Key activities

    • Stakeholder interviews
    • Current-flow mapping
    • Success criteria

    Deliverables

    AssessmentPrioritized scope
  2. Phase 02

    Solution design

    1–3 weeks

    We define the user experience, system architecture, integrations, and controls before development begins.

    Key activities

    • UX and flow design
    • Architecture
    • Integration planning

    Deliverables

    Reviewable prototypeTechnical plan
  3. Phase 03

    Build and integration

    Depends on scope

    We deliver the solution in reviewable increments and connect it to the tools your operation already uses.

    Key activities

    • Frontend and backend development
    • API integrations
    • Progress reviews

    Deliverables

    Working incrementsVersion-controlled source code
  4. Phase 04

    Quality assurance and training

    1–2 weeks

    We validate critical scenarios, resolve issues, and prepare your team to operate the system confidently.

    Key activities

    • End-to-end testing
    • Acceptance testing
    • Team training

    Deliverables

    QA reportOperating guidance
  5. Phase 05

    Launch and continuous improvement

    Ongoing

    We launch, monitor real usage, and prioritize improvements based on operational evidence.

    Key activities

    • Production deployment
    • Monitoring
    • Improvement reviews

    Deliverables

    Production systemImprovement backlog

Frequently asked questions

Before we begin.

How is the scope of AI & automation defined?

We begin with an assessment of the current process, users, data, integrations, and desired business outcome. The resulting proposal defines deliverables, responsibilities, assumptions, and an estimated timeline.

Does Wallpay provide support after launch?

Yes. The support model is agreed according to the solution and may include monitoring, incident response, maintenance, training, and prioritized improvements.

Let's discuss the process you want to improve.

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