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AI automation for businesses in Nepal
AI automation in Nepal. Built around the work.
Doconest builds AI-assisted workflows for the copying, checking, sorting, searching, drafting, and reporting that consume a team’s week. We connect the work to your existing tools and keep people in control where judgement matters.
01 / What automation means
Less chasing. Fewer invisible handoffs.
Business automation is not simply asking a chatbot to write something. Useful automation moves information through a dependable sequence: it receives an input, checks what is known, follows the rules, requests review when needed, updates the relevant system, and leaves a visible record.
AI can help when the input is language, a document, an image, or a request that varies each time. Conventional code remains better for exact calculations, permissions, statuses, and business rules. We combine both instead of forcing AI into every step.
- 01One source of status. Staff can see what arrived, what happened, what is waiting, and who owns the next action.
- 02Review by exception. People focus on unusual or high-risk cases instead of manually touching every routine item.
- 03Traceable outputs. Important decisions retain their source, reviewer, timestamp, and relevant version.
- 04A workflow the team can maintain. Documentation and handover are part of delivery, not an afterthought.
02 / Where we start
Repeated work with a clear owner.
The best first automation is usually easy to recognize. The team can show examples, describe the exceptions, and explain what “done correctly” means. The work happens often enough that improvement matters, but its boundary is small enough to test.
Knowledge and search
Find answers across policies, manuals, product material, and past documents with links back to the source.
Reporting and operations
Collect recurring inputs, reconcile them, produce a draft report, and notify the owner when something needs attention.
Customer and staff requests
Classify enquiries, draft routine replies, route unusual cases, and keep the conversation connected to the customer record.
We do not advertise an “AI employee” that replaces an undefined job. We define the exact actions the system may take, the evidence it must retain, and the decisions that remain with your staff.
03 / Integration
Work with the tools you already have.
An automation is only useful when it fits the wider operation. We can connect websites, internal databases, spreadsheets, document stores, communication tools, CRM or ERP systems, and third-party APIs where access is available and appropriate.
Sometimes the safest design leaves an existing system untouched and adds a small review layer around it. Sometimes the operation needs a new internal tool. We choose the architecture after understanding ownership, security, frequency, cost, and failure recovery.
What we design before release
- 01Roles and access: who may view, approve, correct, export, or administer the workflow.
- 02Data boundaries: what may be sent to an AI provider and what must remain in a controlled system.
- 03Quality checks: test examples, acceptance rules, and human review for material decisions.
- 04Failure handling: what happens when a service is unavailable, a document is unclear, or an integration rejects an update.
- 05Operating ownership: who receives alerts, reviews logs, and decides whether the workflow should change.
04 / Delivery
Pilot on real work before scaling.
We begin with a bounded version of the workflow and a set of representative examples. Your team reviews early outputs, including the difficult cases. We adjust the rules, prompts, interface, and integrations until the system is reliable enough for the agreed scope.
Map
Document the current workflow, baseline, exceptions, data, system access, and accountable owner.
Build
Create the smallest complete path from input to reviewed outcome, including the operational interface.
Evaluate
Test normal, difficult, and unsafe cases. Compare results with the agreed quality and business measures.
Handover
Train users, document operation and limitations, monitor the pilot, and decide what is worth expanding.
If the workflow needs a broader application, permissions model, customer portal, or new data system, our custom software team can build the surrounding product.
05 / Questions
Before automating the workflow.
Often, yes. We first determine what those tools are doing in the process, where the reliable record should live, and whether an API, import, or new interface is the right connection.
Not for every workflow. Some projects use existing documents and examples rather than model training. We assess whether the available information is sufficient for the required accuracy and scope.
Yes. Human review, corrections, source visibility, and escalation paths are designed into workflows where an incorrect output could affect a customer, payment, record, or decision.
Yes. Support can cover monitoring, integration changes, prompt and rule updates, model evaluation, bug fixes, and improvements agreed after the pilot.
Start with a repeated task
Show us the work your team keeps rebuilding.
A screen recording, spreadsheet, sample document, or simple explanation is enough for the first conversation.
WhatsApp: +977 9700533219
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