Lead qualification & booking
Replies instantly, asks the qualifying questions, scores the lead and books a call. Our AI Counsellor does this for study-abroad consultancies.
Service · AI agents
AI agent development
Custom AI agents that do real work inside your business: qualify leads on WhatsApp, read and key documents, take orders, chase payments and update your ERP or CRM, with a person approving anything that matters.
- Channels
- WhatsApp, web, emailAnd your internal tools
- Connects to
- Your ERP, CRM & APIsThrough scoped tools
- Guardrails
- Approvals & audit logsRefuse rather than guess
- Proof
- AI CounsellorOur own 24/7 WhatsApp agent
- Languages
- The customer's ownTested before launch
01 — Definition
What is an AI agent?
An AI agent is software that uses a large language model to work out the steps of a task, carries them out by calling your systems through tools and APIs, and checks the result, within limits you set. A chatbot answers questions; an agent gets things done. It can look up an order, draft a quotation, update a record or send a reminder.
What matters in practice is control. A good agent has a narrow job, a short list of actions it is allowed to take, and a person in the loop for anything expensive or irreversible. “Agentic AI” simply means systems built this way: models that plan and act, not just reply.
| Rule-based chatbot | RPA bot | AI agent | |
|---|---|---|---|
| What it does | Answers from a fixed script | Repeats fixed clicks and keystrokes | Understands the request and plans the steps |
| Messy input | No | No; breaks when screens change | Yes: free text, voice notes, PDFs, images |
| Acts in your systems | Rarely | Yes, through the user interface | Yes, through APIs, with permissions |
| Best for | Predictable FAQs | Stable, rule-based back-office tasks | Variable, high-volume work that needs light judgement |
02 — Agents we build
Agents that earn their keep
Each agent below has one job, a defined set of tools, and a clear point where it hands over to a person.
Order-taking on WhatsApp
Customers send orders in their own words; the agent checks stock and price, confirms, and creates the sales order.
Customer support
Order status, returns, invoices and FAQs answered from live data, with hand-off to your team.
Document processing
Purchase orders, invoices and delivery notes read from email and keyed into your ERP, with exceptions queued for review.
Collections & reminders
Polite, persistent payment follow-ups that know each customer's ledger and escalate when promises are missed.
Quotation assistant
Reads enquiries, checks rates, stock and margin, and drafts a quotation for a salesperson to approve.
Internal knowledge agent
Answers staff questions about policies, products and processes, citing the source document.
Workflow orchestration
Agents combined with n8n, Make or custom code to run multi-step processes across your tools.
03 — Integration
How agents connect to your systems
An agent is only as useful as what it can reach. We connect agents to your ERP, CRM, accounting, inventory and messaging tools through their APIs, and build the API if there isn't one. WhatsApp agents run on the official WhatsApp Business Platform. Where several agents need the same tools, the Model Context Protocol (MCP) is one way to expose them once.
Every tool an agent may use is defined explicitly with its own permissions: an agent that can read a customer's ledger cannot post to it unless you decide it should.
04 — Guardrails
How our agents stay safe
- Scoped tools: the agent can only take the actions it was given, with the permissions of a junior staff member, not an administrator.
- Approvals: anything expensive, irreversible or customer-visible beyond a threshold waits for a person.
- Grounding: answers come from your data and documents; the agent says it doesn't know rather than invent.
- Audit logs: every message, tool call and decision is recorded and reviewable.
- Evaluation: tested on real past cases before launch and after every change.
- Cost and rate limits: budgets per conversation and per day, so a loop can't run up a bill.
05 — Process
From first task to trusted agent
01
Pick the job
One task with clear volume and a clear definition of done.
02
Map the steps
Including the exceptions your best staff handle without thinking.
03
Build with guardrails
Tools, permissions, prompts and evaluation set built together.
04
Shadow mode
The agent drafts; people approve. We measure where it is right and wrong.
05
Earned autonomy
Approval steps are removed only where the record shows they are not needed.
Locations
AI agent development near you
We deliver remotely from Jaipur. Each location guide covers local industries, tax and data rules, and how working hours line up.
MumbaiDelhiBengaluruNew York CityLos Angeles, CAChicago, ILLondonManchesterBirmingham, UKBerlinParisAmsterdamDubaiRiyadhAbu DhabiLagosNairobiJohannesburgSingaporeKuala LumpurJakartaSydneyMelbourneBrisbaneMexico CitySão PauloBogotá
Country guides
FAQ
AI agent development: common questions
What is the difference between an AI agent and a chatbot?
A chatbot answers questions, usually from a script or a knowledge base. An AI agent works out the steps of a task and carries them out through your systems, for example checking stock, creating a sales order or sending a payment reminder, within permissions and approval rules you set.
How much does it cost to build an AI agent?
It depends on how many systems the agent must use and how many exceptions the task has. One agent with one channel and two or three tools is a contained project; an agent that orchestrates several systems and teams is larger. Model usage is a separate running cost that we estimate up front. We quote a fixed scope after discovery.
How long does it take to build an AI agent?
A first agent for a single, well-defined task can reach shadow mode quickly, because the build happens in two-week increments. The time that matters is the shadow period, when the agent drafts and people approve, which lasts until the record shows it is accurate enough to act alone.
Will the agent make mistakes?
Any system can. That is why our agents are grounded in your data, limited to defined tools, required to hand off when unsure, and logged in full. High-impact actions wait for human approval, and approval steps are only removed when the error rate justifies it.
Can an AI agent work on WhatsApp?
Yes, through the official WhatsApp Business Platform. Customers can message in their own words and language at any hour; outbound messages outside the customer-service window use templates approved by Meta. Our AI Counsellor runs this way.
Can AI agents update our ERP or CRM?
Yes, through the systems' APIs, with the permissions you choose. Typical patterns are read-only lookups first, then drafting records for approval, then posting directly once the agent has proved itself.
Which framework or LLM do you use to build agents?
Whichever fits the job. We build on established frameworks or plain code depending on complexity, and choose models per task: the major commercial models where reasoning quality matters most, smaller or open-weight models where cost, speed or data residency matter more.
How do we measure whether an agent is working?
Before launch we agree the numbers: tasks completed without hand-off, hand-off rate, response time, conversion or collection rate, errors caught in review, and cost per task. You see them on a dashboard, alongside the full conversation logs.
Contact
Let's build it.
Tell us about the process you want fixed. We reply within one working day.
- Emailflip.retail1@gmail.com
- Phone / WhatsApp+91 92569 97690
- StudioB-2, B203 Brij Villa,
Rajendra Marg, Bapu Nagar,
Jaipur, Rajasthan 302015, India