Choose a specific task
We define the current process, the expected output and the cases that need a person to decide.
Automation for the repetitive work
AI automation connects tools and uses models for tasks such as classifying requests, extracting information or drafting text. Digital Revo starts with one workflow and checks whether ordinary automation, AI or a combination fits. We agree the data sources, permissions, human review and success measures before building.
Workflow integrations and AI-assisted tasks with clear inputs, review points and a way to handle exceptions.
- Workflow automation
- Document handling
- AI assistants
- Integrations
What AI automation can include
Automation means software takes over a repetitive task: moving information between tools, sending the right message at the right time or filling in a document. AI handles the parts that need reading or writing. Most useful workflows combine the two, with a person checking anything that matters.
- Automation
Follows steps you define, the same way every time. It suits any task with clear rules.
Example: When a contact form is submitted, save it to your spreadsheet or CRM and notify the sales team.
- AI
Reads and writes language, so it can handle messages, documents and questions that do not follow a fixed format.
Example: Read an incoming email, recognise it as a quote request and draft a reply for your team to check.
Custom chat assistant
A chat on your website, or for your staff, that answers from information you approve, such as your services, policies and FAQs, and passes anything else to a person.
For example
A visitor asks whether you deliver to Surabaya. The assistant answers from your delivery list and offers to send their details to your team.
Inquiry and message handling
Messages from email, contact forms or WhatsApp are sorted by type, the key details are pulled out and a reply is drafted for review.
For example
New inquiries are tagged as quote, support or partnership, and each one goes to the right person.
Document processing
Information is read from invoices, forms, receipts or PDFs and entered into a spreadsheet or system, with unclear cases flagged for a person.
For example
Supplier invoices arriving by email are read, and their numbers, dates and totals are added to your accounting sheet.
Drafting documents
First drafts of proposals, quotes, reports or product descriptions are written from your templates and data, then edited and approved by your team.
For example
After a discovery call, a proposal draft is prepared from the call notes and your standard sections.
Connecting your tools
Forms, spreadsheets, CRM, email, chat and accounting tools are connected, so information is entered once and updated everywhere it is needed.
For example
A confirmed order updates stock, creates an invoice and sends the customer a confirmation.
Reports and reminders
Scheduled summaries and alerts are produced from your data, so the team sees what needs attention without compiling it by hand.
For example
Every Monday, managers receive a summary of last week's inquiries, open quotes and overdue follow-ups.
Who it’s for
- Teams repeatedly moving information between tools
- Businesses processing similar enquiries or documents
- Operations teams with a defined task to evaluate for automation
- Companies planning an assistant over approved information
What you get
- Workflow map and feasibility assessment
- Approved inputs, outputs and data access requirements
- Agreed integrations and automation steps
- AI-assisted classification, extraction, drafting or search where suitable
- Human review, approval and exception handling
- Logging and failure notifications included in scope
- Evaluation criteria and representative example checks
- Documentation and operating handover
How we work
Evaluate the approach
We use approved examples to check usefulness and limitations before expanding the scope.
Build the workflow
We connect the agreed tools and add review points, permissions and failure handling.
Review real use
We compare results with the agreed measures and document who maintains the workflow and reviews exceptions.
Typical projects
Inquiry triage
A possible workflow: categorize a request, extract useful details and prepare a draft reply for review.
Document drafting
A possible workflow: produce a first draft from approved inputs, then send it to a person for editing and approval.
Internal knowledge search
A possible workflow: find relevant information in approved documents and link answers to their sources.
Questions
Yes. We review your current website, content and tools before proposing a scope. The work may involve improving an existing setup, connecting systems or planning a replacement. Access, integrations and migration requirements need to be checked first.
We agree review and approval points for each workflow. An AI step might prepare a draft or extract information, while a person checks important outputs before action is taken. Permissions, exceptions and fallback behavior are defined in the project scope.
Savings depend on the task, input quality, review effort and how often the workflow is used. We define a baseline and success measures with you, then evaluate representative examples and real use. We do not promise a percentage before that evaluation.
That depends on the task. We identify the approved documents, fields or tools it needs, who can access them and what may be sent to an AI provider. Use representative examples when discussing feasibility; sensitive data access should be agreed before implementation.
Start a AI automation project
Let’s build what’s next.
Share a short brief. We’ll reply with questions and a suggested first step, and you’ll see the scope and costs before any work begins.
Discuss an automation
Prefer to talk first? WhatsApp us or send an email.