150+
Businesses automated across voice, chat, and workflow
AI automation agency · Surat, India
Every missed call is a booked appointment someone else answered.
Sciquire builds AI voice agents, chatbots, and workflow automation that answer in seconds, qualify the enquiry, book the slot, and write it all back into the systems your team already uses.
Overnight enquiry loglive
Handled without a human1247
2.4M+
Customer conversations handled by systems we built
950+
Production workflows deployed and monitored
99.9%
Workflow reliability with retry logic and failure alerting
The problem
Missed calls and manual work cap growth long before strategy does.
Most service businesses are not short on demand. They are short on the capacity to answer it consistently. These four leaks show up in almost every audit we run.
Calls nobody answers
Your team cannot take every call, repeat the same five answers all day, and still do the work that needs a person.
- Longer waits at peak
- Callers who never ring back
Leads that go cold
When nobody replies quickly, an interested buyer moves on to whichever business answered first. Usually within the hour.
- Lost revenue
- Wasted ad spend
Response lag
Customers judge availability by reply speed. A slow first response reads as an unreliable business before anyone has spoken to you.
- Lower conversion
- Weaker experience
Manual repetition
Copying data between tools, sending the same follow-up, updating three systems by hand. Hours a day that produce nothing.
- Time drained
- Errors compound
Services
Four systems, built around how your business already works.
No templates and no generic SaaS setup. Each engagement starts with your call mix, your ticket history, and your CRM, then builds only the layer that pays for itself first.
AI Voice Agents
Your phone line is the highest-intent channel you own and the easiest one to lose.
- Answer on the first ring
- Qualify against your criteria
- Book straight into a real calendar
Explore ai voice agents
AI Chatbots
A chatbot that answers three questions and then says contact us is worse than no chatbot.
- Ground it in your real content
- Constrain what it is allowed to say
- Qualify while it helps
Explore ai chatbots
Workflow Automation
The work that eats your team's week is rarely the hard work.
- Map the actual process
- Pick the workflows worth automating
- Build on n8n, self-hosted or cloud
Explore workflow automation
AI Consulting
Most AI budgets get spent on the most visible problem rather than the most expensive one.
- Audit how work moves
- Score opportunities by return
- Recommend the stack honestly
Explore ai consulting
Built on
- Plivo
- Twilio
- Meta WhatsApp API
- OpenAI
- n8n
- HubSpot
- Zoho
Try it yourself
Four working demos. No form to fill in first.
Most agencies show you a video. These run in your browser right now, and each one tells you plainly what is live and what is scripted. Poke at them, try to break them, then decide whether it is worth a conversation.
Medical clinic scenario ready
An inbound call, start to finish
Press start and the agent actually speaks through your device. Answer with the buttons, or press Or speak and reply out loud if your browser supports the microphone.
- Answers first, asks secondNo menu tree and no hold music. The greeting establishes intent immediately.
- Captures as it goesEvery answer lands in a structured field rather than a note somebody types up later.
- Ends with a recordWatch the card that appears when the call closes. That is what gets written to your CRM.
Real speech via your browser's speech engine, with the conversation logic running locally. A web page cannot place a phone call, so this is the conversation without the telephony. On a live deployment the same logic sits behind your number on Plivo or Twilio, answering in under 500ms.
AIAsk me anything about how Sciquire works. Pricing, timelines, what happens after launch, who owns the build. If I do not have a confident answer I will say so instead of inventing one.
Grounded answers, and a refusal when it should refuse
Ask something off-topic on purpose. A production assistant should decline rather than guess, and this one does. That behaviour is the whole difference between a chatbot people trust and one you switch off after a quarter.
- Answers from source, not vibesResponses come from a defined knowledge base about Sciquire, retrieved by relevance.
- Escalates honestlyLow confidence hands you an email address instead of a confident wrong answer.
- Same engine, your contentOn a client build the knowledge base is your pricing, policies, catalogue, and past tickets.
This runs entirely in your browser against a local knowledge base with keyword scoring. Point the data-chat-endpoint attribute at a live backend and the same interface talks to that instead, with no other changes.
Seven steps nobody should do by hand
This is a real intake pipeline: an ad lead arrives, gets enriched, scored, written to the CRM, announced in Slack, and queued for follow-up. Someone on your team is currently doing this with tabs and copy-paste.
- Under two seconds end to endThe same sequence takes a person four to six minutes, and they forget the last step.
- Branching is the pointStep four decides whether a human ever sees this lead. Bad leads never reach your sales team.
- Failure is visibleProduction workflows ship with retries and alerts, because a silently broken automation is worse than a manual process.
The pipeline shape and step order are taken from a live client deployment. Timings shown are medians measured on that build. The animation is a faithful playback rather than a live execution, since running it here would need your credentials.
Rewrite the message and run it again
This one is genuinely live. Delete the sample, type an enquiry the way one of your own customers would write it, and watch what comes out. Leave the budget out and see the fit score drop.
- Nine fields from free textName, role, company, contact, budget, volume, interest, and urgency, pulled from a paragraph.
- A routing decision, not just dataThe fit score decides whether this gets a call in fifteen minutes or goes to nurture.
- Gaps are shown as gapsAnything not stated is marked as such rather than guessed at, which is what keeps a CRM clean.
Fully real. The parser runs in your browser on whatever you type, and nothing is sent anywhere. Production builds add company enrichment and CRM deduplication on top of this same extraction step.
Case studies
Eight industries with the same phone problem and eight different fixes.
A BPO measures success in cost-per-call. A recruitment agency measures it in time-to-first-contact. An insurance agency measures it in leads that never reached voicemail. Same core engine, different script logic, different scoreboard.
BPO & Outsourcing
Cutting cost-per-call without cutting the client's CSAT
60%
Reduction in operational cost by automating routine call handling and wrap-up
Read the deployment
Call Centre Operations
The overflow line that never sends a caller to voicemail
45 to 50%
Increase in operational capacity from combined AHT and FCR gains, with no added staff
Read the deployment
Recruitment Agencies
Screening 3,000 applicants before a competitor picks up the phone
4.2 days → 38 sec
Time-to-first-contact after a warehouse-hiring voice rollout
Read the deployment
Travel Agencies
A booking desk that works across every timezone its travellers are in
24/7
Live itinerary and booking-change support with zero after-hours staffing
Read the deployment
Before and after
What changes on the ground once the manual steps are gone.
Two live client deployments, described by what the working day looked like on either side of launch.
Shreepad Group · inbound voice operations
Before Sciquire
- After-hours calls waited for a human callback the next morning
- Staff repeated the same qualification questions on every call
- Lead routing depended on who happened to be free
After Sciquire
- A voice agent answers and guides callers around the clock
- Qualification happens before any handoff to staff
- Sales-ready conversations reach the team with context attached
Velizaa · WhatsApp customer flow
Before Sciquire
- Replies depended on someone being available to type them
- Conversations slowed to a crawl during busy hours
- Handoffs were inconsistent and hard to track
After Sciquire
- Automation opens the conversation the moment a customer writes in
- Intent routing keeps sales and support threads separated
- Customers move through a single, predictable response flow
How Sciquire ships it
Live in under three weeks, not two quarters.
Every deployment follows the same path. We do not sell a demo and disappear. We map the workflow, wire the integrations, and stay on the line while the agent learns from real traffic.
01 / Map
Call audit
We listen to your actual inbound mix and pick the bounded, high-volume intents where an agent wins fastest.
02 / Build
Script and wire
Conversation logic, objection handling, and write-back into your CRM, ATS, AMS, or TMS. No rip-and-replace.
03 / Launch
Live traffic
The agent goes live on real calls with human escalation paths in place from day one. Nothing gets dropped.
04 / Tune
Feedback loop
We watch transcripts, sentiment, and resolution rates, then refine. The agent gets sharper every week.
Industries
Playbooks written for how your sector actually operates.
The engine is the same. The intake questions, escalation rules, integrations, and success metric are not.
Clinics
Books, reschedules, and cancels against live availability in your practice management system or Google Calendar.
See the playbook
Real Estate
The agent dials within seconds of a portal, form, or ad lead landing, at any hour.
See the playbook
Ecommerce
Live status, tracking links, and delivery windows pulled from your OMS or courier API and answered instantly.
See the playbook
Agencies
A chat or voice intake that captures scope, budget band, timeline, and channel mix, then filters against your engagement floor before it reaches a human.
See the playbook
Startups
An assistant grounded in your docs and past tickets that resolves the repeatable tier and escalates the rest with context.
See the playbook
Questions
Questions we get before every engagement
Which AI automation should we start with?
Start where the volume and the pain overlap. If calls go unanswered, a voice agent pays back fastest. If your team retypes the same website answers all day, a chatbot does. If people spend hours moving data between tools, workflow automation is the first move. The free audit exists to answer this with your numbers rather than a guess.
How long until something is actually live?
A single bounded workflow or a first voice agent typically goes live in under three weeks from kickoff. Multi-system deployments spanning telephony, CRM, and messaging usually run four to six weeks including testing against real traffic. We ship the first working piece early rather than holding everything for one big launch.
Do you work with the tools we already use?
Yes, and that is the default. We integrate with CRMs, helpdesks, calendars, telephony, sheets, accounting, and messaging platforms rather than asking you to migrate. Where an integration does not exist, we build it against the API.
What does an AI automation project cost in India?
It varies with scope, integration depth, and call or message volume. Engagements are structured as a fixed build fee plus running costs for telephony, model usage, and support. We give you a fixed number after the audit, with the running cost modelled at your real volume, so there are no usage surprises in month three.
Who owns the systems you build?
You do. Workflows, prompts, and integrations are documented and handed over, running in your own accounts and infrastructure wherever possible. Leaving Sciquire should never mean losing what we built for you.
What happens after launch?
We monitor transcripts, resolution rates, escalation reasons, and sentiment, then tune. Most of the performance gain in a voice or chat deployment comes from the first eight weeks of iteration on real conversations, not from the initial build.
Is our customer data safe?
Data handling is scoped per engagement and documented before build. We support regional data residency, encryption in transit and at rest, role-based access, and retention limits, and for regulated clients we align to SOC 2, HIPAA, GDPR, and ISO 27001-grade controls.
Do you work with clients outside India?
Yes. We are based in Surat and deliver remotely for clients across India, the Gulf, the UK, and North America. Timezone coverage is agreed at kickoff and voice agents run in whatever timezone your callers are in.
Which of these calls is your team still answering by hand?
Tell us your busiest inbound intent and your current staffing. We come back with the deflection maths and a two-week pilot scoped to prove it on your own traffic.
Figures on this page are drawn from published industry benchmarks, vendor-reported deployments, and analyst data across voice-AI and automation implementations in each sector (2025 to 2026), and are presented as representative outcomes. They are not guarantees. Results in any given deployment depend on call mix, integration depth, and existing operations. Sciquire scopes and validates projected outcomes against your own traffic during the pilot phase.