Chatbots that resolve.
Support, sales, voice and internal chatbots that answer from your data, act in your systems, and hand off to a person the moment they should.
Free 30-minute scoping call. Written estimate within 5 working days.
Grounded answers · Human handoff · Any channel · Your cloud
Illustrative interface. Values are sample data.
By the numbers
* Sample figures for layout review. Replace with audited numbers from engagement reports before launch.
From first intent to weekly tuning.
AI chatbot development is more than a model behind a chat box: it is the conversation design, integrations and quality reviews that make customers trust the answers.
-
01
Chatbot strategy.
Which conversations to automate first, with the volume, cost and risk behind each.
-
02
Conversation design.
Flows, tone, fallbacks and handoff rules, written and tested against real transcripts.
-
03
Chatbot architecture.
Model choice, retrieval, integrations and guardrails, sized to your volume.
-
04
Custom chatbot development.
The bot itself, in your cloud, with an evaluation set built from your real conversations.
-
05
Chatbot integration.
CRM, helpdesk, payments, booking and identity, so the bot can act, not just answer.
-
06
Support and tuning.
Weekly transcript reviews, new intents and model upgrades tested against your evals.
Six chatbots we build most.
Pick one to see what it handles and what a real conversation looks like.
Answers from your policies, actions in your systems.
Support bots that answer from your help centre and order data, take simple actions, and hand anything tricky to a person with the context attached.
- Order status, returns, refunds and account questions
- Answers cited from your help centre and policies
- Handoff to your helpdesk with the full transcript
- Tone and escalation rules your support lead signs off
A support bot on your website resolving your top intents, with a weekly quality report.
Illustrative interface. Values are sample data.
Bookings, changes and payments, done in the chat.
Bots that complete tasks end to end: book, reschedule, pay, update details. Every action goes through your APIs with the user verified first.
- Bookings, reschedules and cancellations
- Payments through your provider's secure fields
- Identity checks before any account change
- Confirmation by SMS or email after every action
One high-volume task, such as rescheduling, fully automated with a fallback to a person.
Illustrative interface. Values are sample data.
Phone calls answered, routed and resolved.
Voice agents for inbound calls: they understand the caller, look things up, take simple actions and transfer to the right team when needed.
- Natural speech in, natural speech out
- Caller verification and account lookups
- Warm transfer to the right queue, with a summary
- Call transcripts and outcomes in your CRM
A voice agent on one call type, such as billing questions, running beside your IVR.
Illustrative interface. Values are sample data.
One knowledge base, every customer's language.
Bots that detect the customer's language and answer in it, from policies written once in English. Quality is measured per language, not assumed.
- Automatic language detection
- Answers from one source-language knowledge base
- Per-language evaluation sets and quality reports
- Handoff to agents who speak the language, where you have them
Your support bot live in your top two or three languages, each with its own quality score.
Illustrative interface. Values are sample data.
Answers for employees, inside Slack or Teams.
Assistants for employees: HR, IT and policy questions answered from your documents, respecting who can see what.
- HR, IT and finance policy questions
- Permission-aware retrieval from wikis and drives
- Ticket creation when a human is needed
- Runs inside Slack, Teams or your intranet
An HR or IT assistant in Slack or Teams, answering from one set of policies.
Illustrative interface. Values are sample data.
Visitors qualified and booked while they're interested.
Sales bots that answer product questions, qualify the visitor with a few natural questions, and book a meeting straight into your reps' calendars.
- Product and pricing questions answered from your docs
- Qualification questions that feel like a conversation
- Meetings booked into the right rep's calendar
- Every lead scored and written to your CRM
A qualifying bot on your pricing and demo pages, booking meetings into your CRM.
Illustrative interface. Values are sample data.
Every message takes one of three paths.
Answer it, act on it, or hand it to a person. We design each path, and the rules between them, from your real transcripts.
- Intents and phrasings taken from your real transcripts, not guessed
- Confidence thresholds set per intent, tested before launch
- Tone, brand voice and escalation rules your support lead signs off
- Fallbacks for every step, so no conversation dead-ends
Twenty-four features, built in.
Grouped by what they do. You switch on the ones your use case needs; each is tested before it goes live.
— Understanding —
- Natural language understanding
- Sentiment awareness
- Context memory
- Multi-step dialogue
- Multilingual
- Knowledge-base search
— Actions —
- CRM updates
- Payments
- Bookings and changes
- User verification
- Custom workflows
- API-ready
— Channels —
- Website widget
- iOS and Android
- Slack and Teams
- Voice and phone
— Trust and operations —
- Human handoff
- PII masking
- Audit log
- Live analytics
- Accessible (WCAG 2.2)
- Scales with traffic
Safe to put in front of customers.
A chatbot speaks for your brand to every customer at once. These controls ship with the first version, not after the first incident.
-
01
Grounded answers.
Answers come from your documents and systems, with the source shown. No source, no answer.
-
02
A clean handoff.
When the bot is unsure, or the customer asks, a person takes over with the full transcript.
-
03
Payments and personal data.
Card details go through your payment provider's secure fields, never the model. Personal data is masked in logs.
-
04
Abuse and prompt injection.
Customer messages can't change the bot's instructions, and every action it can take is allow-listed.
-
05
Compliance support.
Built to support GDPR, CCPA, HIPAA and PCI DSS obligations, with your counsel signing off.
Illustrative interface. Values are sample data.
The first cohort is being written.
Named case studies publish here with the client's sign-off, real numbers and the honest limits. Want to be one of them?
Talk to us →Resolved, not deflected.
A chatbot that pushes customers away looks good on a dashboard and bad in your reviews. We report what actually happened to every conversation, every week.
- Resolution rate: solved without a person, confirmed by the customer
- Handoff quality: did the agent have what they needed?
- Answer accuracy: flagged answers traced to their source
- Cost per conversation, against your cost per ticket
Chatbots for your industry.
Customers ask different things in every industry. The way we design, test and measure the bot stays the same.
Mobility.
Dispatch, ETA and rider-support agents for ride-hailing and fleet platforms.
ETA models · Demand forecasting · Support agentsLogistics.
Route optimisation, document extraction and exception handling across the shipment lifecycle.
Route optimisation · Document AI · Exception triageFinance.
KYC document extraction, fraud signals and customer assistants that stay inside compliance rules.
KYC extraction · Fraud signals · Compliance copilotsReal estate.
Listing enrichment, valuation models and lead-qualifying agents for brokerages and proptech.
Valuation · Listing enrichment · Lead agentsRetail / Manufacturing.
Demand forecasting, visual inspection and inventory copilots on the shop and factory floor.
Forecasting · Visual inspection · Inventory copilotseCommerce / Consumer goods.
Product search, personalisation and post-purchase support agents that cite the order.
Semantic search · Personalisation · Support agentsTravel.
Itinerary assistants, dynamic pricing and disruption-handling agents for OTAs and operators.
Itinerary agents · Pricing · Disruption handlingLet's discuss your industry.
If the data is messy and the stakes are real, the method still applies. Bring the workflow; we'll bring the evaluation set.
Start a project →From transcripts to a live bot.
Discovery starts with your real conversations. The evaluation set is built from them before the bot is.
-
01
Discovery · week 1
Workflow and data audit.
We map the process, pull a sample of real data, and check what is usable, missing or sensitive.
-
02
Discovery · week 2
Evaluation set.
We build the test set from your real examples, so “done” has a number before any product code exists.
-
03
Build · sprint 1
Architecture and prototype.
Model choice, retrieval design and integration plan, proven against the eval set.
-
04
Build · every Friday
Build in the open.
Your repository, your cloud. A weekly demo with accuracy, latency and cost on one screen.
-
05
Run · go-live
Deploy.
A staged rollout behind a feature flag, with runbooks, monitoring and a rollback path.
-
06
Run · monthly
Monitor and improve.
Drift alerts, model upgrades run through your evals, and a monthly cost and quality review.
AI chatbot questions, answered.
Short answers here. Longer ones on the scoping call.
Message us on WhatsApp. An engineer replies within one working day.
What does an AI chatbot development company do?
It designs, builds and runs chatbots that understand what people ask and answer or act on it. At Elluminati that covers conversation design, the model and retrieval behind it, integrations with your systems, and the weekly quality reviews after launch.
How much does it cost to build an AI chatbot?
It depends on the channels, the number of intents and the systems the bot has to act in. Projects start with a fixed-fee discovery sprint, quoted on the scoping call, and the build is priced per milestone. Every quote is written and fixed for its scope.
How long does it take to launch a chatbot?
After a two-week discovery sprint, a first bot on one channel usually takes four to eight weeks to build. Voice agents and bots that take many actions take longer, up to about twelve weeks.
Should we build a custom chatbot or buy a platform?
A platform is often enough for FAQ-style answers. Build custom when the bot must act in several of your systems, when your data can't leave your cloud, or when platform pricing per conversation outgrows the value. Discovery answers this before you commit.
Can the chatbot connect to our CRM and helpdesk?
Yes. The bot reads and writes through your systems' APIs, such as your CRM, helpdesk, booking and payment tools, with each action allow-listed and logged.
How do you stop the chatbot from making things up?
Answers are grounded in your documents and systems, each with its source, and the bot declines when it can't find one. We measure faithfulness on a set of your real questions before every release, and review flagged conversations every week.
Can it hand conversations to our human agents?
Yes. When the bot is unsure, or the customer asks, the conversation moves to your helpdesk queue with the full transcript and a summary, so the agent doesn't start from zero.
Do you build voice and WhatsApp chatbots?
Yes. The same bot can run on your website, in your apps, on WhatsApp, in Slack or Teams, and on the phone as a voice agent. Each channel gets its own tests, because people phrase things differently in each.
Bring the workflow. We'll bring the plan.
Three steps from first message to kickoff. No deck, no commitment until you sign.
- 01Scoping call30 minutes with an engineer, not a salesperson.
- 02Written estimateAn evaluation plan, a timeline and a price within 5 working days.
- 03KickoffSign the scope and the discovery sprint starts.
Prefer to message directly? WhatsApp +91 7096010005
