AI automation agency · Hyderabad
Automations thathold up under audit.
RAG chatbots, CRM and n8n workflows, and official WhatsApp automation, built in your own cloud accounts.
Two clients we would put on the front page.
Both run in accounts the client owns.
Manufacturing
Venkateswara Polymers
Inventory management automation
Read the engagement
IT Services
EMS Technologies
Social media, website, and inventory management
Read the engagement
Why two, and not a wall of logos
We would rather name two engagements and describe them properly than show a grid of marks padded out to look longer. There are no client logos in this repository, and inventing one would be worse than not having it.
Six things we can point at and hand over.
Each one is something we can show you, document, and leave running in your own accounts.
RAG Chatbots & Knowledge Assistants
Assistants that answer from your own documents, tickets, and databases — with citations back to the source, so answers can be checked.
- Document ingestion
- Vector search
- Cited answers
- Escalation to a human
CRM & Workflow Automation
The routing, syncing, and follow-up work your team currently does by hand between CRM, inbox, sheets, and billing.
- CRM sync
- Lead routing
- Invoice reconciliation
- Daily digests
WhatsApp Business Automation
Official WhatsApp Business Platform workflows — follow-up, reminders, and support — with opt-in and opt-out handled properly.
- Official Cloud API
- Opt-in capture
- Template management
- Opt-out handling
Lead Capture & Qualification
Every enquiry from every channel landing in one place, qualified against your criteria, routed to the right person within minutes.
- Multi-channel capture
- Deduplication
- Qualification scoring
- Instant routing
Document & Back-Office Automation
Extraction, checking, and filing of the documents that move through your operation — invoices, POs, forms, claims paperwork.
- Structured extraction
- Validation rules
- Exception queues
- System-of-record filing
Secure Automation Reviews
A security review of the automations you already run — credential scope, data flow, prompt-injection exposure, and logging.
- Credential scoping
- Data-flow mapping
- Prompt-injection testing
- Logging review
- 2–6 wk
- typical time to first workflow live
- Fixed price
- quoted against a written scope
- Your cloud
- deployed to your accounts and API keys
- Security-led
- built by a VAPT and forensics team
Why the list is capability-led
Positioning here is capability-led rather than vertical-led. A sector page tells you who we have worked with; a capability tells you what we will actually build, which is the thing a scope is written against.
One flow, start to finish.
A WhatsApp enquiry, from arrival to a person picking it up.
Lead capture · live flow
Enquiry
Arrives on the official WhatsApp Cloud API
Deduplicate
Matched on phone and email against the CRM
Qualify
Rules, then a model pass over the free text
Write to CRM
One normalised record, no duplicate created
Route
Assigned by territory, with an SLA timer
Escalate
Untouched past your threshold goes to a person
- 01EnquiryArrives on the official WhatsApp Cloud API
- 02DeduplicateMatched on phone and email against the CRM
- 03QualifyRules, then a model pass over the free text
- 04Write to CRMOne normalised record, no duplicate created
- 05RouteAssigned by territory, with an SLA timer
- 06EscalateUntouched past your threshold goes to a person
A real flow, not a simulation of one. Every step here is something we build; the sequence is the one described onlead capture and qualification.
What the diagram commits to
Every step is something we build, and nothing in the sequence happens without a rule you agreed to in the scope. The qualifying step is rules first and a model pass second, in that order, so a decision can always be explained after the fact.
Where the same capability set fits.
Where we do most of the workAvailable, less common
RAG assistants and security reviews carry no marks because they are not sector-led. Both are commissioned on their own, in any of the six.
What we are not claiming
This is framed as workflow automation rather than deep domain modelling. We do not run an in-house computer-vision or predictive-maintenance team, and a sector mark above means we have built the listed workflows there, not that we model the industry.
Four steps, with the durations named.
01
Map
Week 1
The sequence you run today, the systems it touches, and where it breaks.
02
Scope
Week 1 to 2
Data flows, failure handling, acceptance criteria, a fixed price, and a date.
03
Build
Week 2 to 6
Incremental delivery in your accounts, with a human path for edge cases.
04
Hand over
Final week
Workflow definitions, credentials in your vault, a runbook, and a walkthrough.
The people behind it.

Sushanth Kasturi
Founder & CEO
From vulnerability assessment, penetration testing, and digital forensics. Sets how access, secrets, and logging are handled in every build.

Rohith
Co-Founder & CTO
Builds the retrieval and orchestration layer — ingestion pipelines, vector search, and the n8n workflows that hold a system together.

Nathaniel Francis
Chief of Sales
Runs scoping and commercials: turning a described problem into a written scope with a fixed price and a delivery window.
Written down, so you can check it.
How to scope your first automation: a written checklist
Pick the process by frequency and rule-density, map it before automating it, decide the exception path first, and write down what done means.
Production-grade AI automation versus a proof of concept
The difference is not model quality. It is error handling, access scoping, observability, and an exception path — the four things a demo never has.
What WhatsApp Business Platform compliance actually requires in India
Documented opt-in, approved templates, working opt-out — plus TRAI's TCCCPA and DLT registration, which sit with the sender and not with the agency.
The things worth asking any automation agency.
What does AvlokAI actually build?
AvlokAI is an AI automation agency based in Hyderabad, Telangana. We build three things: retrieval-augmented (RAG) chatbots that answer from your own documents and databases, CRM and back-office workflow automations orchestrated in n8n, and WhatsApp Business API workflows for lead follow-up, reminders, and customer support. Each engagement ends with a system running in your own accounts and infrastructure, with the workflows documented and handed over.
Is AvlokAI the same as Avlok AI, and are you connected to Avlok Kohli or AngelList?
AvlokAI and Avlok AI are the same company — the name is written both as one word and as two, and either spelling refers to this business. We are not connected to Avlok Kohli, to AngelList, or to any other person or company using a similar name. AvlokAI is an independent AI automation company registered in India and operating from Hyderabad, Telangana, founded by Sushanth Kasturi and Rohith. If you reached this page looking for someone else with a similar name, this is not them.
How long does it take to get a first automation live?
A single scoped workflow — for example WhatsApp lead follow-up wired into an existing CRM — typically goes live in 2 to 3 weeks from a signed scope. A multi-step system involving a RAG chatbot over your own document set, or integration across three or more systems, typically takes 4 to 8 weeks. We scope in writing before starting and bill against milestones, not hours.
Which Hyderabad industries benefit most from AI automation?
In Hyderabad the clearest fits are IT services and product companies (lead qualification, invoice reconciliation, bug triage), e-commerce and D2C brands (inventory sync across marketplaces, review triage, order updates), real estate (portal lead capture and instant follow-up), and manufacturing and logistics operations around Medchal, Patancheru, and Jeedimetla (supply-chain visibility and reordering). The common factor is high-volume, rule-heavy work that already happens over WhatsApp, email, and spreadsheets.
Is my business data safe with an AI automation agency?
Ask any agency three questions: which sub-processors touch your data, whether a data-processing agreement is on offer, and who is accountable for a breach. We publish our sub-processor list on our privacy page, we sign a data-processing agreement covering India's Digital Personal Data Protection Act 2023, and our founding team comes from vulnerability assessment and penetration testing (VAPT) and digital forensics — so access scoping, secret handling, and audit logging are part of the build rather than an afterthought. By default we deploy into your cloud accounts and your API keys, so data does not sit with us.
Which LLM and automation tools do you build on?
We build on n8n for workflow orchestration, the Anthropic and OpenAI APIs for language models, vector stores such as pgvector and Qdrant for retrieval, and the official WhatsApp Business Platform (Cloud API) for messaging. We work inside the CRM you already use — HubSpot, Zoho, Salesforce, or a database you own. We do not resell a black-box platform; you keep the accounts and the workflow definitions.
Is bulk WhatsApp broadcasting allowed, and how do you handle it?
Not in the way it is usually sold. The WhatsApp Business Platform requires documented opt-in from each recipient and pre-approved message templates for business-initiated messages, and unofficial broadcast tools get numbers permanently banned. Promotional messaging in India also falls under TRAI's TCCCPA and DLT registration regime. We only build on the official API, we implement opt-in capture and opt-out handling as part of the workflow, and we will not build unsolicited bulk messaging.
Can you automate Google review requests without breaking Google's policy?
Yes, with one design constraint we do not negotiate on: review requests go to every eligible customer, not only the ones predicted to be happy. Google prohibits review gating — filtering by sentiment before asking — and prohibits incentivised reviews. A gated flow puts the client's Business Profile at risk, so we build unfiltered request flows only.
Do you work with healthcare or patient data?
We build scheduling, reminder, and back-office workflow tooling that supports a healthcare provider's own compliance programme. AvlokAI is not an accredited auditor and does not issue HIPAA attestations or certifications. We do not accept protected health information from a US covered entity without an executed Business Associate Agreement, and for Indian providers we work to the Digital Personal Data Protection Act 2023. If your project depends on a certifying audit, you need an accredited assessor, not an automation agency.
How is a project priced?
Fixed-price against a written scope, billed across milestones — typically a scoping and design milestone, a build milestone, and a handover milestone. Change requests are quoted before work starts on them. Ongoing support and monitoring, if you want it, is a separate monthly retainer. We publish no rate card because a WhatsApp reminder flow and a multi-source RAG system are not comparable pieces of work; we quote after a scoping call.
Do you work with clients outside Hyderabad?
Yes. We are based in Hyderabad and work on-site with clients in Telangana and Andhra Pradesh, and remotely with clients elsewhere in India and abroad. Delivery, review calls, and handover documentation are the same either way.
Describe the workflow. We will scope it in writing.
Fixed price against a written scope, billed across milestones. Prices and packages are on the catalogue.