Built for how business actually runs here: agents that hold a conversation in Hindi, English or a regional language, read and write UPI, GST and KYC records, run inside an Indian region when the data cannot leave, and log every decision against the DPDP Act and the CERT-In six-hour reporting window. Delivered from our Noida office on IST.
Agents that finish work, not demos that answer questions. They hold the conversation in Hindi, English or a regional language, write to Tally, Odoo or your ERP, and stop at a rupee threshold you set. Run in an Indian region when the data cannot leave, logged against the DPDP Act and the CERT-In six-hour window. Fixed-price pilots from ₹3,90,000, live in 3 weeks, built in Noida on IST.
From First Pilot to Production: AI Agent Services for Indian Teams
Six agent types, picked because they are where work piles up in an Indian operation: a WhatsApp queue nobody clears, a GST return reconciled by hand, an MIS assembled at 11pm. Each is scoped as a pilot on your own data before anyone signs off on a platform.
Agent Types
01 · Agent type
Customer Support Agents
Closes the WhatsApp thread instead of deflecting it
Hindi, English and code-mixed, tested on your own recordings
Order, COD and refund status read from your own systems
Hands to a person on IST with the whole thread attached
Every action written to an audit log you can export
A chatbot answers. An agent finishes. In an Indian operation the difference shows up as the queue that used to be cleared by two people at 9am, and the return that used to be reconciled the night before it was due.
The WhatsApp queue stops growing
Enquiries land all evening and all weekend. They get worked as they arrive, so the team opens the morning on exceptions instead of four hundred unread threads.
Threads triaged and closed unattended
Overnight and weekend volume worked as it lands
People see the exceptions, not everything
Answers in seconds, in the language they wrote in
First response stops depending on who is on shift. The agent replies from your own policies, in Hindi, English or whichever regional language the customer used, or hands over with the context already gathered.
First response measured in seconds, not hours
Grounded in your own policies, not a model's guess
Clean handover the moment it should not decide
Capacity that does not need another shift
Festival season triples the volume and the agent absorbs it. The cost is per task rather than per head, which is the whole reason to do this rather than hire and train for a peak that lasts six weeks.
Cost per task, not per head
Absorbs a festival peak without a scramble
The same answer at 10 runs or 10,000
Work an auditor can follow
Every plan, tool call and decision is logged. When a customer disputes it, or an auditor asks why the agent did that, there is a record rather than a shrug at a black box.
A full trace of every action taken
Spend caps and step limits on every task
Approval gates on anything that cannot be undone
Agents That Actually Close the Loop
A demo that answers questions is not an agent, and the gap shows up fastest on Indian inputs: a code-mixed sentence, a scanned invoice, a 2G connection. Six disciplines close it, backed by our wider AI development and cloud teams. Want a conversational assistant instead of an autonomous one? See AI chatbot development.
[1]Planning & Task Decomposition
The agent breaks a goal into ordered steps, picks the tool for each and re-plans when one fails. “Close this ticket” becomes look up the order, check the COD status, raise the refund, tell the customer.
[2]Tool & API Calling
Typed, validated calls into Tally, Zoho, Odoo, your helpdesk and the GST portal, with retries and rollback for the afternoons when a government API is simply down.
[3]Grounded Retrieval
Answers built from your own circulars, policies and records with the source attached, so the agent cannot invent a refund rule or a rate of duty that does not exist.
[4]Human-in-the-Loop Control
Approval gates on anything that moves money, files a return or reaches a customer. You set the rupee threshold and the agent stops there.
[5]Guardrails & Spend Caps
Step limits, token budgets, allow-listed tools and Aadhaar or PAN redaction before the call, enforced in code rather than asked for in a prompt.
[6]Evaluation & Run Tracing
A held-out set of your own tasks, including the code-mixed ones, scored on every change, so quality is a number rather than an impression.
Not Sure Which Task to Automate? Start With a Free Agent Audit.
One call about your queues, your systems and where the hours actually go tells you which task is worth an agent first, what it will cost to run per month in rupees, and where a plain script would do the job for a fraction of it.
Free · No obligation · Back to you in two working days
Industries
AI Agents Across Indian Industries
Nine sectors, and in each one the first agent we build is usually the one clearing a WhatsApp queue or a reconciliation nobody wants. See our healthcare and fintech practices for deeper detail, or enterprise software when the agent has to reach the rest of the business.
[01]Manufacturing
Job work challans, supplier chasing and quality paperwork worked without a coordinator sitting on WhatsApp all day.
Delivered since 2018 across AI, mobile, cloud and enterprise work.
3 wks
Pilot to live
Typical time from a signed scope to an agent working on your own data.
₹3,90,000
Fixed-price pilot
One workflow, one integration, quoted as a single rupee figure before we start.
15+
Countries served
Teams running on Appther-built systems, a good share of them in India.
Case Studies
Work We've Shipped
Agentic and AI builds we can point at: a voice agent handling live patient calls, a WhatsApp assistant closing support tickets, and route optimisation deciding against live constraints.
Why Indian Teams Partner With Appther for AI Agents
Plenty of agencies here will show you a demo in a week. Fewer will run it against your own tickets, invoices and recordings in week one and tell you plainly where it falls over. We build the whole stack in house from Noida, alongside our AI development and cloud infrastructure teams.
01
Scoped as a pilot, not a programme
One workflow, one integration, a fixed rupee figure and three weeks. You watch it work on your own data before anyone approves a platform, and the integration work is quoted the same way. No three-vendor standoff at 11pm when a task fails somewhere between the model and your database.
02
Measured, not demoed
A held-out set of your own tasks, code-mixed ones included, scored on every change. We report the failure rate rather than replaying the runs that went well.
03
Guardrails written in code
Spend caps in rupees, step limits, allow-listed tools and approval gates enforced around the model rather than asked for inside the prompt, backed by our AI engineering practice.
04
You own the whole thing
Prompts, orchestration code, evaluation sets and runbooks are yours, in your own repository and your own cloud account. An NDA is signed before discovery starts, not after.
Security & Compliance
What Stops an Agent Doing Real Damage?
An agent that can act is an agent that can act wrongly. Here is how we constrain it, and only what we can honestly claim under Indian rules.
Prompts and traces carry personal data more often than teams expect, and under the DPDP Act that is your exposure, not the model vendor's. We design around minimisation first, so it is a property of the architecture rather than a later retrofit.
DPDP ActConsent and notice mapped per data type, purpose limitation on every stored run, and working access and erasure endpoints from the first sprint rather than a promise for later.
CERT-In reportingLogs kept for 180 days in an Indian region and an incident path that can report inside the six-hour window, agreed with your team before launch.
RBI data localisationWhere an agent touches payment data, that data stays on Indian infrastructure, and the agent is designed so it never reaches a model hosted elsewhere.
Data minimisationAadhaar, PAN and account numbers are redacted before the call. The model sees the fields the task needs, which cuts risk and token cost together.
An agent is only as safe as the loosest tool it can reach. Identity, permission and action limits are built as one system rather than three features added at different times.
Per-agent identityA scoped service account per agent, so one can be revoked at 2am without taking the rest down with it.
Encrypted transportTLS on every model and tool call, AES-256 at rest, and personal data redacted before anything leaves your tenancy.
Allow-listed toolsAn agent calls only the tools it was granted, with typed arguments validated before execution and a rollback path when one fails.
Network segmentationAgent traffic kept off your business network, with least-privilege rules between the orchestration, storage and tool tiers.
What follows describes how we write and review code. These are practices we apply on every build, not certifications we hold, and we would rather say that plainly than imply otherwise.
OWASP Mobile Top 10Checked on every mobile release, with keys and secrets kept out of the binary as a standing rule.
ISO/IEC 27001 and CERT-In alignedAccess control, change management and audit logging modelled on those technical controls, which is what an Indian enterprise security review asks for.
Secure coding & reviewPeer review on every merge, dependency scanning in CI, and secrets held outside the repository.
Penetration testingArranged with an Indian testing firm before launch on request, with every finding tracked to closure.
To be plain about it: Appther is not a certification body. Formal ISO or SOC 2 attestation of your finished system sits with your compliance team and its auditor. Our job is to build and document it so that audit is short.
In a regulated sector the rule changes the architecture, not only the paperwork. We scope those constraints in discovery so none of them arrives in week ten.
ABDM-ready buildsFor health workloads we architect to the Health Data Management Policy: access control, audit logs and model hosting inside an Indian region.
RBI data localisation and PCI DSS scope reductionAgents built so card data never reaches a prompt, staying inside the payment provider and out of the model context.
Industrial safety systemsRead-only tool access by default, so an agent that can see a system cannot change it without an explicit grant.
Model & data residencyWe tell you early where each model provider actually processes data, and can host open weights in an Indian region instead where that matters.
Agent interfaces fail store review for predictable reasons. We build against the rules that catch AI features specifically, before the first submission rather than after the second rejection.
Apple App Store reviewAI disclosure, data-use strings and an account-deletion path prepared to clear review first time.
Google Play policyGenerative-AI disclosures handled properly, with a data safety form that matches what the agent actually sends.
WCAG 2.2 AAContrast, focus order and screen-reader labelling checked in the product itself, not only on the marketing site.
Offline & failure statesEvery refusal, timeout and handover gets a message a real person can act on, which is also the first thing a reviewer looks for.
Feature Set
Key Features We Deliver in Agent Builds
The pieces that show up in most agent builds here, from the first tool call through to the dashboard your operations head reads on Monday.
Tool & API Integration
Multi-Step Task Planning
Retry & Rollback on Failure
Streaming Responses
Grounded Retrieval with Citations
Run Trace & Audit Dashboard
PII Redaction in Transit
Scoped Credentials per Agent
Multi-Channel (Chat, Email, Voice, WhatsApp)
ERP, CRM & Helpdesk Integrations
Role-Based Access Control
Escalation & Handover Rules
Agent Versioning & Rollout
Document & Vision Understanding
Cost & Latency Analytics
Prompt & Model Cost Tuning
Pricing
Priced in Rupees, Agreed Before We Start
Rupee figures you can take to a budget meeting today. The exact number is confirmed in writing after a free scoping call, and it does not move unless the scope does.
Agent Pilot
Prove it on one workflow before anyone commits a larger budget.
Every tier includes the source, the prompts and the evaluation sets. You own all of it, with no proprietary runtime and nothing to keep paying us for. Model and hosting usage is billed at cost, usually ₹4,000 to ₹50,000 a month depending on volume. Not sure which tier fits? Take the free agent audit and we will say which one.
Client Voices
Trusted By Teams Who Ship
“Appther built our student competition app exactly the way we envisioned it: easy registration, smooth judging, and real-time results that keep participants engaged.”
Dionna MilemOwner · My BOB Team LLC
“Building a mental health app means every detail has to be handled with care, and Appther got that from day one. The product feels warm, simple, and genuinely helpful.”
Bob SinghalProfessor of Joy · Joyscore Inc
“Appther exceeded every expectation, on time and on budget, and the final product has been instrumental in scaling our business. A rare engineering partner.”
Johnathan PefferCEO · Bull's Eye Technologies Inc
“Implementing an ERP across our operations felt daunting at first, but Appther made the transition seamless. Every department now works off a single source of truth.”
Pushpender KumarGeneral Manager · AB Sugar Ltd
Free 30-Minute Agent Strategy Call
Tell Us Which Queue Never Clears. We'll Tell You If an Agent Fixes It.
Thirty minutes on IST gets you the task worth automating first, the systems it has to reach, a rupee budget range and a delivery date. No deck, no obligation.
Yes. We have shipped agents in English, Hindi, Marathi, Tamil, Telugu and Bengali, including code-mixed speech, which is how most customers actually talk. Accent and language coverage is tested on recordings from your own lines before launch, not assumed from a model card.
A pilot on one workflow is ₹3,90,000, live in two to three weeks. A production build across two or three agents with real integrations runs ₹7,20,000 to ₹12,00,000. A multi-agent platform with governance runs ₹12,80,000 to ₹15,90,000. The figure is fixed in writing after a free scoping call, so nothing is open-ended.
Two to three weeks for a pilot, four to six for a production build with integrations. We fix the date in week one and demo weekly on IST, so you watch it come together rather than waiting for a reveal.
Yes. The agent acts through tools we build against your own stack: Tally, Odoo, Zoho, SAP, your helpdesk, billing and internal APIs, plus the WhatsApp Business API where the conversation happens. Anything with an API or a database is reachable. Where a system has neither, we say so in discovery rather than after.
Every agent runs inside limits agreed before launch: which tools it may call, what it may change, and the rupee value above which a person has to approve. Refunds, payments and deletions sit behind approval by default. Every action is logged with its reasoning, in an Indian region, so an auditor can follow exactly what happened and why.
It hands off to a person with the whole thread attached, rather than looping or guessing. Handoff rules are designed up front and tuned from real conversations after launch. Most teams settle between 60 and 75 percent full automation, with the rest reaching a human faster and better prepared than before.
No. Discovery includes an honest look at what is in Tally, what is in spreadsheets and what is only in someone's head, and we say upfront if something has to be fixed first. Usually we start where the data is already good enough, prove it there, then widen. That beats an eighteen-month data project with nothing to show.
You do. The source, the prompts, the evaluation sets and the deployment configuration are yours, in your repository and your cloud account. There is no proprietary runtime to keep paying for. An NDA is signed before any discovery conversation, not after it.
An Engineer Replies Within One Business Day
Let's Put an Agent on Real Work
Tell us which task is eating your team's day. No sales pitch, just a straight answer on approach, scope, timeline and cost. Prefer email? Use our contact page.
Free 30-min strategy callScoping and honest, practical advice.
Fixed-price quoteDetailed scope and price after discovery, no surprises.
NDA on requestYour idea, designs and code always stay yours.
