Custom AI systems

Build the AI system your work actually needs.

WaveHello designs and builds customer assistants, knowledge and document systems, copilots, insight tools, portals, and controlled workflows around a specific business need.

The interface, approved information, model behavior, permissions, integrations, and human review are designed as one working system.

  • Built for a defined job
  • Connected only where useful
  • People remain in control
Purpose-built AI workspace
Illustrative system
Which open requests need a person's attention today?
3 sources checkedAnswer with review state

Four requests need review: two have missing documentation, one conflicts with the customer record, and one proposes an account update that has not been approved.

  1. Missing information2
  2. Conflicting record1
  3. Approval required1
Next actionOpen the human review queue
A custom system can combine conversation, files, records, analysis, and approved actions in one interface designed for the work.

Purpose before technology

Another AI feature is not always the answer.

The first decision is whether the work needs AI at all. If a standard feature, clearer workflow, or ordinary integration solves the problem, that is the better recommendation.

Generic AI add-on

The business is asked to work around the feature.

  • Fixed interface and broad default behavior
  • Limited context from the surrounding product
  • Another layer on top of the existing process
  • Unclear fit between the output and the next action
Purpose-built WaveHello system

The software is designed around the job to be done.

  • Interface tailored to the users and workflow
  • Selected knowledge, records, and integrations
  • Defined output, review point, and next action
  • Evaluation and support matched to the real use

What we can build

Four solution families. Each shaped around the business.

The finished scope depends on the users, information, decisions, integrations, security requirements, and support the system needs.

01 / Customer conversations

Customer assistants

Branded assistants that explain an offer, guide visitors, ask useful qualifying questions, collect consented contact details, and prepare the next step.

  • Website sales and service assistants
  • Product, service, or location finders
  • Project intake and appointment guidance
Built resultA customer-facing assistant, approved knowledge, qualification logic, contact flow, and confirmed handoff
Explore AI website assistants
02 / Knowledge and documents

Knowledge and document systems

Search, intake, extraction, and review tools that help a team work with approved files and records without hiding uncertainty.

  • Internal knowledge assistants with source links
  • Document intake and field extraction
  • Missing-information and exception review
Built resultA searchable or document-focused workspace with source controls, validation, and human review
03 / Team decisions

Copilots and insight tools

Purpose-built workspaces that assemble selected context, summarize activity, compare records, draft next steps, and help a person make a better-informed decision.

  • Sales and service copilots
  • Reporting and reconciliation workspaces
  • Drafting and decision-support tools
Built resultA tailored interface with defined inputs, useful outputs, explanations, and approval controls
04 / Connected work

Portals and controlled workflows

Authenticated applications that bring selected files, tables, forms, dashboards, and approved system actions into one focused experience.

  • Customer or team portals
  • CRM and ticket workflow assistance
  • Human-approved multi-step automation
Built resultA role-aware application with selected integrations, activity history, error handling, and controlled actions

Illustrative product surfaces

The interface should make the system's role obvious.

These examples show the kinds of working surfaces a custom engagement can produce. They are not client results or fixed product templates.

Customer assistant and sales handoffPublic conversation / internal result

We need a better way to qualify requests from three locations.

I can help identify the right service and collect the location, timing, and contact details your team needs. Which location needs attention first?

The assistant can explain, qualify, capture, and hand off without pretending to replace the sales team. See the complete AI website assistant service.
Document intake and review workspaceSelected files / visible exceptions
Application 104812 approved fields extractedReady
Application 1049Service date conflicts with requestReview
Application 105011 approved fields extractedReady
Extraction becomes useful when the expected fields are defined, uncertainty is exposed, and exceptions reach the right reviewer.

What a production build includes

The build includes more than a model.

A dependable AI system combines the customer-facing experience, business rules, connected information, safeguards, release evidence, and the guidance needed to operate it after launch.

Interface and user experience

The screens, conversation, forms, tables, dashboards, and responsive behavior needed for the defined users and task.

Model behavior

Instructions, structured outputs, tool use, response boundaries, and the moments when the system should ask, defer, or escalate.

Approved knowledge

Selected business content and records, retrieval behavior, source visibility, freshness rules, and a path for conflicting information.

Access and permissions

Authentication, roles, approved data access, consent, review steps, and limits on consequential actions.

Supported integrations

Defined connections to the CRM, calendar, email, file, reporting, or business APIs the workflow actually needs.

Evaluation and release

Representative examples, difficult cases, failure paths, performance, accessibility, and release criteria agreed for the intended use.

Deployment and recovery

Production configuration, secure credentials, logging, error handling, rollback planning, and a dependable human fallback.

Documentation and support

Administrative guidance, training, known limits, maintenance needs, and a support plan matched to the finished system.

A sensible place to begin

Bring one task that deserves a better system.

Show us what comes in, what a person must understand, what should happen next, and where the current approach breaks down. We will determine whether AI is useful and what the build would require.

A strong fit when

  • A recurring task depends on understanding language, documents, images, or scattered knowledge
  • The intended users and useful result can be described clearly
  • Approved information or representative examples are available
  • A person can review uncertain or consequential outcomes
  • The required systems offer suitable access or supported APIs

A simpler answer may be better when

  • A standard form, report, workflow rule, or existing software feature already solves the need
  • The underlying process or source records are still unclear
  • No one can approve the source information or the finished result