Oveersea · Custom software development
AI Assistant
Chatbot & smart automation. A dedicated module shaped around your processes, connected to the systems and teams that depend on it.
Estimated module development
Rp 25.000.000
Conversations
320
Resolved
88%
You · 09:20
Summarise today's sales.
AI · 09:20
42 orders, Rp 4,8 jt total.
AI · 09:20
Up 12% from yesterday.
Specific scope to confirm
Define approved knowledge sources, permitted data, human review, usage costs and safe handling of uncertain answers.
From business need to working system
The challenge
When chatbot & smart automation are handled across spreadsheets and separate tools, teams lose context and repeat work.
The workspace
Bring AI conversations, Knowledge sources, Workflow automation into an agreed workflow, with consistent records and clear responsibilities.
The outcome
A clearer view of work in progress, fewer manual hand-offs and an auditable process. Specific success measures are agreed during discovery.
Capabilities in detail
01AI conversations
Define the required fields, entry points and validation rules. The interface is aligned with your team's daily tasks rather than a fixed generic screen.
Scope discussion: which users need ai conversations, what records they access and what counts as a completed task.
02Knowledge sources
Configure how records are organised, assigned and updated. Permissions and exceptions are mapped with the people who own the process.
Scope discussion: which users need knowledge sources, what records they access and what counts as a completed task.
03Workflow automation
Agree which statuses and outputs need to be visible, who can access them and how results feed into the next business process.
Scope discussion: which users need workflow automation, what records they access and what counts as a completed task.
End-to-end workflow
01
Define the input
Agree the data and user actions needed for AI Assistant, including mandatory fields, sources and responsible teams.
02
Configure business rules
Map validation rules, permissions, status changes and exceptions before implementation.
03
Run the workflow
Users work through AI conversations, Knowledge sources, Workflow automation in a shared workspace, with the relevant context available at each stage.
04
Review the results
Review status, outcomes and exceptions with stakeholders; agreed acceptance scenarios determine readiness to launch.
Data & access
- Data model: record identifiers, mandatory fields, ownership and history are defined for the selected features.
- Access: user roles, branch restrictions and sensitive fields are mapped before development.
- Existing data: import formats, cleaning responsibilities and migration volumes are agreed separately.
Integration & dependencies
- Connections: source and destination systems, API availability and authentication must be confirmed.
- Reliability: synchronisation frequency, retries, duplicate handling and failure alerts are scoped for each connection.
- External costs: provider accounts, transaction fees, hosting and licences are not automatically included in the module estimate.
Delivery & acceptance
Discovery & design
Review current processes, define the selected requirements and agree screens, roles, data and acceptance scenarios before coding.
Build & validate
Develop the agreed scope in reviewable increments. Validate normal flows, invalid inputs, permissions and integration failures with your team.
Launch & handover
Complete user acceptance, prepare deployment and provide agreed documentation and training. Support arrangements and timeline are confirmed in the quotation.
Your requirements
Frequently asked questions
Module estimate
Rp 25.000.000