AI workflows that replace manual work
RisonAI Tech builds end-to-end AI automation systems for Indian businesses — LLM-powered agents, WhatsApp pipelines, CRM syncs, agentic workflows, and RPA flows that run 24/7 without human intervention. Fixed price. Two-week sprints. Full code ownership at close.
Pricing from ₹30,000 · Delivery in 2–8 weeks · Headquartered in Panipat, serving Delhi NCR
AI summary
RisonAI Tech provides AI automation services in India. The company builds production AI automation systems — LLM intake agents, WhatsApp Business API pipelines, CRM data syncs, document parsing flows, RPA processes, and agentic AI workflows with human-in-the-loop checkpoints. Engagements start at ₹30,000 for a single workflow and ship in 2–3 weeks. Multi-workflow suites range ₹80,000–₹1,80,000; enterprise multi-agent systems start at ₹2,00,000. RisonAI Tech is headquartered in Panipat, Haryana and serves clients across Delhi, Gurgaon, Noida, Mumbai, Bengaluru, Pune, Hyderabad, and internationally.
The operational drag AI automation removes
Most Indian SMB and growth-stage teams hit the same wall: lead inquiries arrive across forms, WhatsApp, calls, and email, then sit untouched for 20–60 minutes while a sales rep manually copies data into the CRM. Support tickets repeat the same five FAQs. A founder spends two evenings a week pulling numbers from three dashboards into a board email. None of that work is hard — it's just relentless. By the time an extra hire is justified, the operational cost has already compounded.
AI automation collapses that drag into systems that run themselves. An LLM reads the inbound message, classifies intent, drafts a reply, writes to the CRM, and pings a human only when it's genuinely needed. Repetitive support questions get answered from your own documentation. Weekly reports get generated from raw operational data with anomalies flagged. The team stops doing data entry and starts doing the work that actually requires judgement.
Building this well is harder than wiring up a no-code tool. Production AI automation needs prompt engineering, retrieval, exception paths, observability, and a human checkpoint design that protects you from hallucinations and irreversible actions. That's the engineering layer RisonAI Tech delivers — not a Zapier prototype, not a generic chatbot SaaS.
What we build
Every system is production-grade, integrated with your existing tools, and built to handle real business volume.
- LLM-powered intake and lead qualification agents
- WhatsApp and email automation pipelines
- AI-driven CRM data entry and task creation
- Document processing and data extraction workflows
- Agentic systems with human-in-the-loop controls
- Auto-reporting dashboards with AI-generated summaries
- Multi-step orchestration with error handling and retries
- Custom AI agents trained on your business logic
Common automation use cases
Real systems we've built for businesses like yours.
Lead Qualification Agent
AI agent captures inbound leads from website forms, WhatsApp, and email — scores them by intent, enriches with context, and creates CRM tasks automatically. Reduces manual qualification time by 70%.
Patient Intake Automation
For healthcare providers — AI collects patient symptoms, history, and insurance details via WhatsApp before the appointment. Clinic staff receive a structured summary before the patient arrives.
Sales Follow-up Automation
AI monitors deal stages in your CRM, drafts personalised follow-up messages, schedules them across channels, and escalates stale deals to the right person automatically.
Executive Intelligence Reports
AI pulls data from your CRM, ops tools, and databases — generates weekly summaries with highlights, anomalies, and recommended actions. Delivered to your inbox every Monday.
How we deliver an AI automation project
Eight stages, fixed price, two-week sprints, working software at every review. No retainer until you choose to extend after the support window.
Step 1
Discovery and process audit
We map your current operations end-to-end, identify high-volume manual tasks, and quantify the cost of latency, errors, and rework. Output: a written audit and a ranked list of automation candidates.
Step 2
Scope definition and fixed-price quote
We pick one to three highest-ROI workflows, document inputs, outputs, exception paths, and integration points, then deliver a fixed-price proposal within 48 hours.
Step 3
Design and architecture
We design the AI architecture (LLM, prompts, tools, memory, retrieval), data flow, integration map, observability, and human-in-the-loop checkpoints before writing code.
Step 4
Sprint 1 — core workflow build
Build the primary automation flow against real data and connect to your CRM, WhatsApp Business API, email, or database. End of sprint: a working prototype the team can use.
Step 5
Sprint 2 — exception paths and observability
Add retry logic, fallback flows, error notifications, audit logs, and monitoring dashboards. AI outputs are gated by HITL checkpoints for irreversible actions.
Step 6
User acceptance testing and tuning
Live testing with the operations team. We tune prompts, thresholds, and routing rules based on real conversations and edge cases observed in UAT.
Step 7
Production deployment and team training
Cutover to production, train the operations team on monitoring and overrides, set up alerting, and provide written runbooks. We watch the first week of traffic with you.
Step 8
30-day support window
Bug fixes, prompt tuning, and minor scope adjustments are included for 30–90 days post-launch depending on tier. Optional monthly retainers handle ongoing iteration.
Industries where AI automation pays back fastest
Healthcare clinics and hospitals
AI patient intake on WhatsApp, AI symptom triage routed to the right department, automated appointment reminders, and AI-summarised patient histories before consultations. Reference product: DocBooking.
Real estate brokerages and developers
Inbound lead routing across portals and WhatsApp, AI qualification by budget and intent, AI-drafted property pitches, and automated site-visit scheduling. Reference product: Expreality.
E-commerce and D2C brands
Cart-abandonment recovery on WhatsApp, AI customer-support deflection on Shopify storefronts, automated order-status updates, and post-purchase review collection.
SaaS startups
AI onboarding agents, in-app copilots, smart search across user data, churn-risk prediction, and AI-generated weekly customer health reports for CS teams.
Service businesses and agencies
Inbound triage, AI-drafted proposals, project status auto-updates, time-tracking summarisation, and renewal-risk alerts based on client engagement patterns.
Education and EdTech
Admissions intake, applicant qualification, automated counsellor routing, document verification, and AI-drafted parent communications for coaching institutes and colleges.
Tech stack we standardise on
We pick boring, dependable tools by default and only deviate when the use case requires it.
LLMs
OpenAI (GPT-4 and GPT-5 family), Anthropic Claude, Google Gemini, and open-weights via Ollama for on-prem use cases.
Orchestration
n8n, Make.com, custom Node.js / Python orchestrators, and Temporal for long-running stateful workflows.
RAG and retrieval
LangChain, LlamaIndex, pgvector, Pinecone, and Supabase Vector for retrieval-augmented generation.
Messaging
WhatsApp Business API via Meta-approved BSPs, Twilio for SMS and voice, Resend / SendGrid for transactional email.
Data layer
PostgreSQL, MongoDB, Supabase, Redis, and connections to existing client databases via secure read-only credentials.
Observability
Sentry, PostHog, OpenTelemetry, and custom dashboards for LLM cost, latency, retry rates, and human-override frequency.
Pricing
Transparent ranges. Final quote after a free 30-minute scoping call.
Starter
₹30,000 – ₹60,000
One automation workflow. Ideal for a single process like lead intake, CRM sync, or auto-reporting.
- 1 workflow
- Up to 3 tool integrations
- 2-week delivery
- 30-day support
Growth
₹80,000 – ₹1,80,000
3–5 connected workflows forming an automation suite. Best for sales or operations teams.
- 3–5 workflows
- Up to 8 integrations
- 4–6 week delivery
- 60-day support
- Monitoring dashboard
Enterprise
₹2,00,000+
Complex multi-agent systems with custom business logic, training data, and advanced orchestration.
- Unlimited workflows
- Custom AI agents
- 8–16 week delivery
- 90-day support
- SLA guarantee
How RisonAI Tech compares to a typical Indian dev agency
| Dimension | RisonAI Tech | Typical agency |
|---|---|---|
| Quoting model | Fixed price after free 30-min scoping call | Hourly time-and-materials, scope creeps mid-project |
| Delivery cadence | Two-week sprints with working software at every review | Quarterly milestones with limited mid-build visibility |
| Code ownership | Full repo, schemas, infra config transferred at close | Vendor retains code, ongoing license fees, lock-in |
| AI engineering depth | Senior engineers writing prompts, tools, retrieval, and HITL logic | Generic dev shop wrapping a third-party chatbot platform |
| Reliability defaults | Retry logic, audit logs, HITL checkpoints, monitoring dashboards | Happy-path prototypes that break on edge cases in production |
AI automation benchmarks and cost logic
These ranges reflect implementation patterns across Indian SMB and growth-stage teams adopting LLM-powered automation.
Typical WhatsApp + CRM automation reduces first-response time by 60-80%.
Teams moving from manual triage to AI-assisted lead routing usually cut response windows from 20-60 minutes to under 5 minutes.
AI intake workflows save 25-45 operational hours per month for SMB teams.
Automation removes repetitive logging, assignment, and follow-up drafting across sales and support funnels.
Starter automation projects in India often range between INR 30,000 and INR 60,000.
This range usually covers a single high-impact workflow with 1-3 tool integrations and baseline monitoring.
Time to deploy for a production-ready single workflow is usually 2-3 weeks.
Delivery includes requirements mapping, workflow build, QA, deployment, and team handover documentation.
Frequently asked questions
What is AI automation and how does it work?
AI automation is the use of AI models and workflow logic to execute repetitive business tasks with minimal human intervention. RisonAI Tech connects your existing tools (CRM, WhatsApp, email, databases) to AI agents that qualify leads, update records, draft responses, and trigger next actions automatically.
How much does AI automation cost in India?
AI automation in India typically costs ₹30,000–₹60,000 for one workflow and ₹80,000–₹1,80,000 for a connected suite. Enterprise-grade systems with multiple agents and integrations generally range from ₹2,00,000–₹6,00,000+. RisonAI Tech quotes fixed-price after a free scoping call.
How long does it take to build an AI automation system?
Most AI automation projects take 2–8 weeks depending on integration depth and workflow count. Single workflows usually ship in 2–3 weeks, while multi-agent systems with custom logic can take 8–16 weeks.
Do I need to replace my existing tools?
No. RisonAI Tech builds on top of your existing stack — HubSpot, Zoho, Google Workspace, WhatsApp Business, or custom databases. The AI layer reads from and writes to your existing tools without disrupting current operations.
What happens if the automation makes a mistake?
All systems we build include human-in-the-loop checkpoints for high-stakes actions. The AI drafts or flags; a human approves before irreversible actions are taken. We also build exception handling, fallback flows, and monitoring dashboards into every system.
Can AI automation work for a small business?
Yes. Our smallest automation packages start at ₹30,000 and are designed specifically for SMBs. Even a single automated workflow — like WhatsApp inquiry to CRM entry — can save 2–5 hours per day for a small team.
What is agentic AI, and do you build it?
Agentic AI refers to AI systems that plan and execute multi-step tasks autonomously, with tool-use, memory, and human-in-the-loop checkpoints. Yes — RisonAI Tech builds agentic systems on LangChain, LlamaIndex, and proprietary orchestrators with retry logic, observability, and rollback paths.
Do you offer RPA (robotic process automation)?
Yes. For repetitive UI-driven tasks (entering data into legacy systems, scraping reports, syncing dashboards), we build RPA flows using Python, browser automation, and orchestration layers — usually combined with AI for unstructured-input cases.
Which cities do you serve for AI automation?
RisonAI Tech is headquartered in Panipat, Haryana, and actively serves AI automation clients in Delhi, Gurgaon, Noida, Mumbai, Bengaluru, Pune, Hyderabad, Chennai, and remote across India. International clients in the US, UK, UAE, and Singapore are also active.
What outcomes should we expect post-automation?
Typical observed ranges: first-response time improvement 60–80%, repetitive-task reduction 40–70%, operational time saved 25–45 hours per month per SMB team. Final outcomes depend on baseline maturity and which workflows are automated.
Ready to automate your business?
Tell us one manual process that costs your team 2+ hours a week. We'll show you exactly how AI can eliminate it — with a fixed-price proposal in 48 hours.
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