Dua Arah
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AI Automation & Assistant

AI that enters workflow, not just a demo

AI assistants, workflow automation, generative website features, and integrations connected to business data, approval, and operations.

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AI Automation & Assistant

Scope, timeline, and day-of needs are discussed from the start.

Service strengths

Things that directly affect delivery readiness.

Focused on what directly affects readiness and output quality for ai automation & assistant.

AI Workflow Mapping

Map manual processes, decision points, data sources, prompts, and handoffs before building.

AI Assistant & Knowledge

Assistants for FAQ, lead qualification, document lookup, internal support, or knowledge bases with clear source boundaries.

Generative Website Feature

Generative features for websites, admin panels, CMS, or portals such as draft copy, recommendations, summaries, and content helpers.

Automation Integration

Connect AI to webhooks, forms, CRM, spreadsheets, email, CMS, dashboards, or operational systems.

Working flow

Scope, execution, and review in order.

A structured process to keep the result aligned with the target.

  1. 01

    AI Fit Check

    Define viable AI use cases, data risks, and output limits.

  2. 02

    Knowledge & Flow Setup

    Prepare knowledge sources, prompts, triggers, approval, and integration flow.

  3. 03

    Implementation

    Build the assistant, automation, API integration, UI, and needed logging.

  4. 04

    Testing & Handover

    Test outputs, edge cases, guardrails, fallbacks, and workflow management.

Start AI Automation & Assistant with clear scope.

Share service context, date, budget, and main constraints so the team can read the scope before replying.

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