Support answers the same questions all day
Human agents spend most of their time on repeat queries about pricing, availability, order status and process — leaving no capacity for the conversations that actually need judgement.
AI & Intelligent Automation
Most businesses do not need an AI research lab. They need a specific problem solved: support agents answering the same forty questions every day, quotes that take three days to prepare, documents nobody has time to read, a CRM full of leads nobody has ranked.
We build AI into the systems you already use — your CRM, your website, your internal tools, your WhatsApp number — so it produces work, not demos. Every AI feature we ship is scoped to a measurable task with a defined input, a defined output and a human review path where one is needed.
In short
Redlitmus builds applied AI systems for businesses: AI assistants and chatbots, retrieval-augmented knowledge systems over company documents, document data extraction, enquiry classification and routing, AI lead scoring inside a CRM, and AI features added to existing applications through APIs. Every system is grounded in the client's own data with human review paths.
Human agents spend most of their time on repeat queries about pricing, availability, order status and process — leaving no capacity for the conversations that actually need judgement.
Product specs, SOPs, policies and past quotations sit in PDFs and shared drives. Staff either guess or interrupt someone senior to get an answer.
Leads, tickets, applications and enquiries arrive unsorted. Someone reads each one and decides where it goes, so response times depend on who is at their desk.
A prototype works in a demo, then stalls because it was never connected to real data, real permissions, real logging or the team's actual workflow.
We start from a task, not a technology. We identify where a language model genuinely outperforms a rule or a form, ground it in your own content, connect it to the systems that hold your data, and put guardrails and logging around it so you can see exactly what it did and why.
The components that make up a delivered system — every one of them specified, tested and documented.
Retrieval-augmented generation over your own documents, product data and policies, with source references so a reviewer can verify any answer.
AI assistants that run on your website, inside your application and on WhatsApp Business — with escalation to a human the moment confidence drops or the customer asks.
Pull structured fields out of invoices, purchase orders, resumes, forms and reports, then write them straight into your database or ERP.
Automatically categorise enquiries, tickets and leads by intent, urgency and department, then trigger the right workflow.
Meeting notes, long email threads, call transcripts and case histories condensed into a short brief, with a suggested reply your team can edit and send.
Scoped prompts, allowed-topic boundaries, fallbacks, full request logging and a review set so quality can be measured before and after every change.
Answers order, returns and product questions on the website and WhatsApp, checks live order status through an API, and hands over to a human agent with the full conversation attached.
Staff ask a question in plain language and get an answer drawn from current SOPs, product sheets and policy documents — with a link to the source page.
Incoming enquiries are read, scored and enriched inside the CRM, so the sales team sees a ranked list and a suggested opening message instead of a raw inbox.
Requirements come in as free text; the system extracts the specification, matches it to your rate card and produces a first-draft quotation for a human to approve.
AI assistantWe pick one high-volume, well-defined task and agree what a correct output looks like.
We collect, clean and index the documents or records the model needs to be accurate.
We build the retrieval, prompting and tool-calling layer, connected to your live systems.
We test against a real question set, measure accuracy and tune before anyone depends on it.
We put it where the work happens — your CRM, your site, your app, your WhatsApp number.
Logs, feedback and failure cases feed the next iteration on a defined cycle.
const context = await retrieve(question, { topK: 6 });
// answer only from retrieved sources — never from memory
const answer = await generate({ question, context, cite: true });
if (answer.confidence < 0.65) handover(conversation);
AI
Application
Data
The volume tasks — reading, sorting, drafting, answering — stop consuming your team's day.
Everyone gets the same response drawn from the same approved source, whichever channel they arrive on.
Enquiries are read and routed the moment they land, including outside office hours.
Every AI action is logged with its inputs, sources and output, so you can review and correct it.
The technology is similar across sectors. The process, the compliance and the moments that matter to a customer are not.
Almost never. For the large majority of business tasks, an existing model grounded in your own data through retrieval gives better results, faster, at a fraction of the cost of training a model. We only recommend fine-tuning when a specific, measured gap justifies it.
We design the data path with you before building — what is sent to a model provider, what stays inside your infrastructure, what is retained and for how long. Sensitive fields can be masked or kept entirely out of the model context.
Three ways: the model answers only from retrieved source material rather than memory, topics outside scope return a defined fallback, and confidence-based handover routes the conversation to a human. Everything is logged so wrong answers become test cases.
Yes. Adding AI features to an existing application through APIs is one of the most common projects we take on — it does not require rebuilding what you already run.
A single scoped AI feature — an assistant, a document extractor, a classifier — typically moves from kickoff to production in a few weeks. Larger platforms with multiple AI workflows take longer and are delivered in stages.
Tell us the workflow that eats the most time in your business. We will tell you honestly whether AI is the right answer, and what it would take to build.
[email protected]
Phone+91 90472 24111
Coimbatore, Tamil Nadu, India
Remote projects available
