Service 06 — AI-Integrated Solutions
Practical AI, built into the tools your team already uses
AI is most useful when it solves a specific problem inside an existing process. We integrate language models and intelligent features into applications, websites and workflows, with clear limits and a human in the loop where it matters.
Input
Context
Supplier record · Last 3 invoices · Price list
Extracted fields
- Supplier
- Bheri Traders
- Invoice no.
- 2083/417
- Net amount
- NPR 18,600.00
- VAT
- NPR 2,418.00
- Total
- NPR 21,018.00
Conceptual illustration
How AI fits into an application
The model is one step in a controlled sequence — not a black box acting on its own.
- 01
Input
A document, message or request arrives from your app.
- 02
Context
Relevant records and policies are attached — only what is needed.
- 03
Model
A language model reads the input and context.
- 04
Structured output
Results are returned as fields your system can check.
- 05
Human review
Staff approve, correct or reject before anything is saved.
Good uses of AI
- Reading and extracting data from documents
- Answering routine questions from your own content
- Classifying and routing requests
- Drafting text for staff to edit
Where we don't use it alone
- Final financial or medical decisions
- Anything that must be exactly right every time
- Tasks where a simple rule is cheaper and clearer
- Processing data you haven't agreed to share
Where AI genuinely helps
- Staff spend hours reading, sorting or summarising documents and messages.
- Customers ask the same questions repeatedly through chat or email.
- Information exists across files but is hard to search.
- Routine text such as descriptions, replies or reports takes too long to draft.
Typical uses
FAQ assistant for a website · Invoice and receipt data extraction · Summarising customer feedback · Internal policy search for staff · Drafting product listings
What this service includes
- 01
Assistants and chat
Customer or staff assistants grounded in your own documents and policies.
- 02
Document processing
Extracting, classifying and summarising information from forms, invoices and records.
- 03
Search over your knowledge
Natural-language search across manuals, policies and internal records.
- 04
Content drafting
Drafts for product descriptions, replies and reports that staff review before use.
- 05
Model hosting choices
Integration with hosted model providers such as DeepInfra or other APIs, chosen for cost and data needs.
- 06
Safeguards
Usage limits, logging, review steps and clear fallbacks when the AI is uncertain.
How we deliver it
- 1
Identify the task
We find a specific, repeatable task where AI can save measurable time.
- 2
Prototype with real data
A small trial on representative examples to test accuracy.
- 3
Integrate with guardrails
Built into your system with review steps, limits and logging.
- 4
Measure and refine
Ongoing review of quality, cost and user feedback.
Questions about ai-integrated solutions
Planning a ai-integrated solutions project?
Share a few details about your project. We will review it and respond with practical next steps.