What is ai & automation?
Business AI automation is the use of large language models and machine learning to complete tasks that previously required a person: answering repeat questions, extracting data from documents, drafting responses, classifying incoming requests, and routing work. It is most valuable where a task is high-volume, rule-heavy, and currently done by hand.
We start every AI engagement by finding the task that is costing you the most hours, not by picking a technology. If an automation script solves it more reliably than a model, we build the script. When a language model genuinely is the right tool, we integrate it with guardrails, evaluation, and a fallback path.
What our ai & automation service covers
- Custom AI agents that act inside your own systems and data
- LLM integrations using the Claude, OpenAI, and Gemini APIs
- Support and sales chatbots grounded in your own documentation (RAG)
- Document and invoice data extraction from PDFs, images, and scans
- Workflow automation connecting your existing tools without a rebuild
- Evaluation harnesses so you can measure accuracy instead of guessing
What you receive
- Working automation deployed against your real systems
- Prompt and configuration files under version control, editable by your team
- An accuracy and cost report measured on your own data
- Monitoring and alerting for failures and cost spikes
- Documentation covering how to change behaviour without a developer
Our ai & automation process
- 01
Task audit
We list your repetitive tasks with volume and time-per-task, and rank them by hours recoverable per rupee spent.
- 02
Feasibility test
A small prototype on real samples of your data, before any commitment to a full build.
- 03
Baseline measurement
We measure how accurate the prototype is against human-checked answers, so success is defined numerically.
- 04
Build and guardrail
The production system is built with input validation, confidence thresholds, and human review for edge cases.
- 05
Integration
Connected to your CRM, ERP, inbox, or website so it runs inside your existing workflow.
- 06
Monitor and tune
Ongoing accuracy and cost monitoring, with prompt and retrieval tuning as your data changes.
What we build ai & automation with
- Claude API
- OpenAI API
- Google Gemini
- Python
- Node.js
- LangChain
- Vector databases
- n8n
- Zapier
- Model Context Protocol (MCP)
Who this is a good fit for
- Teams answering the same customer questions dozens of times a day
- Businesses re-keying data from PDFs, invoices, or emails into a system
- Sales teams that need enquiries classified and routed automatically
- Companies with documentation that customers cannot find or search
AI & Automation questions
What can AI realistically automate in a small business?
The reliable wins today are: answering repeat customer questions from your own documents, extracting structured data from invoices and PDFs, drafting first-pass replies for a human to approve, classifying and routing incoming enquiries, and summarising long documents or call transcripts. These are all tasks where a wrong answer is cheap to catch and correct.
Is our business data safe if we use AI?
It depends on the configuration, which is why we set it explicitly. We use API tiers that do not train on your data, keep sensitive fields out of prompts where possible, and can run retrieval entirely on infrastructure you control. We document exactly what leaves your network.
How much does AI automation cost to run?
There are two costs: the one-time build and the ongoing API usage. Usage is billed per token and for most SME workloads runs from a few hundred to a few thousand rupees a month. We measure the actual cost during the prototype so you see it before committing.
What if the AI gives a wrong answer?
We design for that from the start. Confidence thresholds route uncertain cases to a person, answers are grounded in your own documents with citations rather than free-form generation, and every interaction is logged so errors can be traced and fixed.
Do we need a lot of data to start?
No. Retrieval-based systems work with the documents you already have — a product catalogue, a policy manual, past support emails. Training a bespoke model would require large datasets, but that is rarely the right approach for a small or mid-sized business.
Talk to us about ai & automation
Tell us what you are trying to achieve and we will tell you honestly whether this is the right service for it — and what it would take.
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