01
AI assistants & knowledge search
Assistants that work with approved business information to help users find answers, summarize material or navigate internal knowledge.
02 / AI, DATA & AUTOMATION
Make complex work
intelligent and connected.
AI-powered features, workflow automation and data pipelines that connect information to useful business actions — designed with practical controls, integrations and measurable outcomes.
55+Projects delivered
39+Clients served
7+Years of experience
MultipleIndustries served
WHAT I ENGINEER
AI and data solutions with a defined job to do
Start with a repeatable task, a fragmented data flow or a customer experience that could be improved. Then design an AI or automation layer that fits the wider system.
02
AI agents & task automation
Tool-connected AI workflows that can classify, draft, route or perform bounded tasks with suitable review and approval points.
03
Workflow & API automation
Connect existing applications and services to reduce repetitive handoffs, duplicate entry and disconnected processes.
04
Data pipelines & transformation
Move, validate, normalize and prepare information so it can be used consistently across business systems.
05
Data analysis foundations
Create cleaner datasets and reporting flows that help teams understand activity, trends and operational performance.
06
AI integration into products
Add AI capabilities to an existing website or application without treating the model as a disconnected add-on.
TECHNOLOGY ECOSYSTEM
Tools chosen with purpose.
Real technology logos are used where a recognizable brand exists. Each mark sits inside a restrained dark tile so it feels native to the site's neon visual system.
AI application layer
Model and orchestration choices are selected around the use case, data sensitivity, cost and expected behavior.
PythonLLM APIs
AI agents
RAG workflows
Retrieval & knowledge
Connect approved information sources to relevant context, with clear boundaries around what the system can access.
Vector search
Embeddings
Knowledge sources
Validation & guardrails
Data engineering
Prepare structured and unstructured data for reliable use in applications, automation and reporting.
SQL
ETL / ELT
Data pipelines
Data quality
Integration & orchestration
Connect AI and data workflows to the applications and business processes around them.
REST APIs
Webhooks
Workflow automation
Logs & evaluation
The exact stack is selected for each project. Not every tool shown is required for every engagement; compatibility, maintainability and total cost guide the final choice.
IMPLEMENTATION APPROACH
How we turn AI into a working system
A useful AI solution is more than a prompt. It needs reliable inputs, relevant context, carefully scoped actions, evaluation and a clear path for human review.
Prepare the data
Identify permitted source material, clean and structure it, and define what information should be available.
Retrieve the right context
Use search, metadata and retrieval patterns to bring relevant information into the task.
Connect models to actions
Integrate an appropriate model or AI API with bounded tools, business rules and workflow steps.
Evaluate and supervise
Test output quality, define approval points, log important actions and monitor operational behavior.
PRACTICAL USE CASES
Where AI and automation can help
The strongest use cases are specific, repeatable and connected to information or systems that already matter to the business.
Talk through your requirements ↗POSSIBLE APPLICATIONS
- Internal knowledge assistants
- Lead intake and enquiry classification
- Document extraction and summarization
- CRM, form and application workflow automation
- Operational reporting and data preparation
- AI features inside existing websites and products
HOW I WORK
A clear path from brief to outcome.
Each engagement is scoped before work begins, with agreed deliverables, checkpoints and a handover that fits the project.
01
Use-case discovery
Identify the task, users, data sources, expected result and acceptable failure modes.
02
Data & system mapping
Review source systems, access permissions, integrations and data quality.
03
Solution design
Choose the model, retrieval or automation pattern that fits the scope.
04
Build & evaluate
Implement the workflow, test realistic cases and refine guardrails.
05
Launch & monitor
Document operation, define human oversight and monitor quality and cost.
PROJECT INVESTMENT
Pricing & engagement.
Starting investment for scoped AI workflows, assistants and data integration projects. Model usage, data volume and system integrations can materially change project effort.
OPTION 01
Workflow automation
For a bounded process that connects forms, apps, APIs and business rules.
₹25,000+Project-based
- One defined workflow
- API or webhook connections
- Error handling and notifications
- Testing and handover
OPTION 02
AI assistant / knowledge search
For an assistant grounded in an agreed set of business documents or knowledge sources.
₹85,000+Project-based
- One scoped assistant experience
- Knowledge ingestion and retrieval
- Prompt, response and access rules
- Evaluation and handover
OPTION 03
Data pipeline & integration
For moving and transforming information between agreed sources and destinations.
₹65,000+Project-based
- Defined source and destination
- Data mapping and transformation
- Validation and failure handling
- Documentation and handover
Packages can be tailored to your requirements.
The listed options describe starting scopes, not rigid packages. Deliverables, technologies, integrations, data or content volume, complexity and timelines can be adjusted, combined or expanded around your goals and available resources. The final scope, pricing, payment schedule, responsibilities, exclusions and all other terms will be discussed and mutually agreed by both parties when the project is finalized, then recorded in the project agreement before work begins.
Indicative starting investment only. Model/API usage, cloud resources, vector database hosting, paid platforms, data licensing and substantial data cleanup are separate unless specified. Currency is selected by client location: INR for India and USD for clients outside India.
COMMON QUESTIONS
Good to know before we start.
A few practical answers about scope, implementation and working together.
Can an AI assistant use our own business documents?
Yes, where the source material and access permissions allow it. The solution can be designed to retrieve from an agreed knowledge base rather than relying only on general model knowledge.
Can an AI agent take actions in our existing systems?
It can connect to approved tools and APIs for clearly defined tasks. Important or sensitive actions should have explicit permissions, validation and human approval where appropriate.
Do we need to replace our existing software?
Usually not. The preferred approach is to connect to the systems that already support the business, provided they expose suitable APIs or data access.
Are AI API and hosting costs included?
Not by default. Third-party model usage, storage, hosting and other provider fees are typically billed directly or listed separately so ongoing costs remain visible.
LET'S BUILD SOMETHING USEFUL
Have a ai, data & automation project in mind?
Share the goal, the current setup and what you want to improve. We can work out a sensible scope and next step.
Let's discuss your project ↗