Automation for repetitive steps, and agentic AI where understanding, classification, or extraction helps—with a person approving high-risk steps.
For: Operators drowning in manual follow-ups, documents and tool-switching
Every business has repetitive work. Employees answer the same questions, copy information between systems, read large numbers of enquiries, process invoices, send follow-ups, prepare reports, check documents, and move information between tools.
TechNewWings helps businesses identify these processes and use automation and AI to reduce manual work and create clearer workflows. Agentic AI is the layer that can move work across WhatsApp, CRM, ERP, and documents, with a person approving high-risk steps.
Connect Your Business Processes With Automation and AI
Automation makes repetitive steps happen automatically. AI adds understanding where the workflow needs it. The exact workflow depends on the business requirement.
Traditional process
Customer enquiry
↓
Employee reads the message
↓
Employee understands the requirement
↓
Employee creates a lead
↓
Employee assigns a salesperson
↓
Employee sends a reply
↓
Employee creates a follow-up reminder
AI and automation
Customer enquiry
↓
AI reads and understands
↓
Lead created automatically
↓
Lead categorized
↓
Salesperson notified
↓
Customer receives a response
↓
Follow-up created
Automation, AI, and both together
Automation
Follows predefined rules. Example: new order, create invoice, notify the team.
AI
Can understand information. Example: a customer message is read, understood, and categorized.
AI + automation
The message is understood, a lead is created and categorized, a salesperson is assigned, the customer gets a response, and a follow-up is created.
AI and automation capabilities
01
Workflow Automation
Connect repetitive business steps so information and actions can move from one stage to the next.
•Business workflows
•Data movement
•Notifications
•Approvals
•Lead processes
•Order processes
•Internal tasks
•Customer communication
Order received→
Order processed→
Inventory updated→
Invoice created→
Team notified→
Customer updated
Reduce repetitive work and help employees spend less time moving information manually.
Trigger → Process → Automation → ResultSample layout
Trigger → Process → Automation → Result
02
Lead Automation
When enquiries arrive through websites, forms, WhatsApp, or other channels, lead automation can connect them with the sales process.
•Capture enquiries
•Create leads
•Notify sales staff
•Send acknowledgement messages
•Create follow-up tasks
•Route leads to the right person
•Connect with CRM workflows
Website enquiry→
Lead created→
Salesperson notified→
Customer acknowledgement→
Follow-up task
The sales team can respond faster and reduce the chance of missing potential customers.
AI can help answer common questions and route more complex requests to the right person.
•Common customer questions
•Product or service information
•Basic business information
•Customer enquiries
•Request routing
•Escalation to human staff
Customer question→
AI understands request→
Common question answered or routed to a person
Customers can get faster responses while employees focus on requests that need a person.
Conversation with a human handoffSample layout
Conversation with a human handoff
06
AI Chatbots
A conversational interface where customers can ask questions, provide information, or follow a defined workflow, and connect with a human when required.
•Ask questions
•Find information
•Submit enquiries
•Provide details
•Start a service request
•Follow a defined process
•Connect with a human
Customer states interest→
Chatbot collects information→
Enquiry is created or routed→
Sales team receives the lead
A more accessible customer experience with fewer repetitive conversations for the team.
07
AI Document Processing
Read documents and extract useful information instead of retyping them into another system.
•Business documents
•Forms
•Reports
•Invoices
•Other structured or semi-structured documents
Document uploaded→
AI reads document→
Information extracted→
Data structured→
Workflow triggered
Reduce manual data entry when processing large numbers of documents.
08
AI Invoice Reading
Extract relevant information from supported invoices and pass it into a business workflow.
•Invoice number
•Date
•Supplier information
•Product information
•Amounts
•Other relevant invoice fields
Invoice upload→
AI reads invoice→
Information extracted→
Structured data→
Accounting workflow
Reduce repetitive data entry in invoice processing.
Invoice on one side, extracted fields on the otherSample layout
Invoice on one side, extracted fields on the other
09
AI Lead Qualification
Read incoming enquiries, understand intent, and help prioritize or route leads.
AI reads→
Understands intent→
Categorizes lead→
Prioritizes→
Routes to the correct team
Help sales teams focus on the right opportunities faster.
10
AI Email Processing
Read, classify, and process incoming emails where the workflow allows it.
•Email classification
•Information extraction
•Request identification
•Lead identification
•Routing
•Task creation
•Workflow triggers
New email→
AI reads email→
Identifies request→
Classifies→
Routes or creates an action
Less time spent manually sorting repetitive emails.
11
AI Report Generation
Turn business data into readable summaries and management-oriented reports.
•Sales information
•Business activity
•Operational information
•Customer activity
•Performance information
•Other supported business data
Business data→
AI analysis→
Summary→
Management report
Make business information easier to review.
12
AI Data Extraction
Extract useful information from documents, messages, forms, and other supported sources.
•Documents
•Emails
•Messages
•Forms
•Business records
•Other supported data sources
Data source→
AI extraction→
Structured information→
Business system
Reduce manual copying and make information easier to process.
13
AI Sales Assistant
Help organize customer and opportunity information and prepare the next sales action inside the tools the team already uses.
•Customer information
•Opportunity context
•Follow-up preparation
•Sales information
•Customer history
•Sales activity
Salespeople spend less time searching for information and more time with customers.
Assistant inside a CRM-style screenSample layout
Assistant inside a CRM-style screen
14
AI Knowledge Assistant
A controlled way for teams to find internal information. Sources and permissions depend on the system.
•What is our process for this task?
•Where is this document?
•What is the procedure for this request?
•What information do we have about this process?
Employees find relevant internal information without searching through every document.
15
AI Business Insights
Highlight changes, patterns, or areas that may need attention. These are observations for people to review.
•Changes in business activity
•Sales patterns
•Customer patterns
•Operational changes
•Performance signals
•Areas requiring attention
Business data→
AI analysis→
Pattern identified→
Management insight
Help management see information that deserves attention.
16
Automation Discovery
Not every process needs AI, and not every repetitive task needs automation. We first understand how the work happens.
•What work is repetitive
•How often it happens
•How much time it takes
•Which tools employees use
•Where mistakes happen
•Where information is copied by hand
•Whether the process can be standardized
Focus on automation that can create practical value: standardize, then automate, then add AI where it helps.
A worked example
Imagine a business receiving 500 enquiries
This is an illustration of the difference in effort, not a measured client result. The exact workflow depends on the process, systems, and data available.
Without automation
500 enquiries
↓
Messages read by hand
↓
Each enquiry interpreted
↓
Information copied
↓
Leads created
↓
Salespeople assigned
↓
Replies sent
↓
Follow-ups created
With AI and automation
500 enquiries
↓
AI reads
↓
Intent understood
↓
Leads categorized
↓
Prioritized
↓
Leads created
↓
Routed to sales
↓
Follow-up actions created
Who Is AI Automation For?
Repetitive manual work
Employees repeatedly perform the same task.
Teams moving data between systems
People copy information from one system to another.
High volumes of enquiries
The team spends significant time reading and responding.
Large numbers of documents
Employees manually read invoices, forms, or other documents.
Growing businesses
Manual processes are becoming difficult to manage as the company grows.
Signs Your Business May Need Automation
•Employees repeatedly copy the same information
•Leads are manually entered
•Follow-ups are managed manually
•Invoices are processed manually
•Employees read large numbers of documents
•Emails need to be sorted manually
•The same customer questions are answered repeatedly
•Reports require significant manual work
•Different systems do not communicate
•Employees spend too much time on repetitive tasks
Business benefits
Reduce manual work
Automate repetitive steps so employees can focus on higher-value work.
Save time
Reduce time spent on repetitive data entry and process management.
Reduce avoidable errors
Structured workflows can reduce mistakes caused by repetitive manual processing.
Respond faster
Workflows can trigger the next action when the required conditions are met.
Improve consistency
Standardize repetitive business processes.
Scale operations
Handle more work without increasing every manual step at the same rate.
Make better use of AI
Use AI where understanding, classification, extraction, summarization, or assistance can add value.
AI and automation can connect to systems you already use
Website
↓
CRM
↓
ERP
↓
Ecommerce
↓
Email
↓
WhatsApp and communication systems
↓
Business applications
↓
AI and automation
Our approach
01
Understand
We first understand the current business process.
02
Identify
We identify repetitive work, bottlenecks, manual data movement, and common problems.
03
Map
We map the existing workflow.
04
Automate
We identify which steps can be automated with rules and integrations.
05
Add AI
Where AI provides real value, we add it for understanding, classification, extraction, assistance, or insights.
06
Connect
We connect the workflow with the relevant business systems.
07
Improve
The automation can be refined as the business process changes.
What we build around your business
We start with the business problem
•What repetitive work takes the most time?
•How many employees perform it?
•How often does it happen?
•Which tools are currently being used?
•Where do mistakes happen?
•What information is being copied manually?
•What happens when the responsible employee is unavailable?
•Can the process be standardized?
•Where would AI actually provide value?
Pricing
Starting from approximately ₹50,000
Typical project range: ₹50,000 – ₹10,00,000+. Pricing is in Indian rupees. A simple lead automation and a multi-system AI workflow are different requirements, so the workflow has to be understood before a proposal.
•Number of workflows
•Number of systems involved
•API integrations
•AI requirements
•Data processing requirements
•Automation complexity
•Number of users
•Custom interfaces
•Hosting and infrastructure
•Third-party services
•Ongoing maintenance and support
Why TechNewWings?
Business-first approach
We start with the business problem, not the technology.
Automation before unnecessary complexity
We identify where standard automation is enough and where AI can add value.
Practical AI
Useful business applications, rather than AI added for its own sake.
Connected systems
AI and automation can connect with the website, CRM, ERP, ecommerce, and communication systems where supported.
Built for growth
As the business changes, workflows can be improved and expanded.
FAQ
Is this the same as building chatbots?▾
Chatbots are one option for common questions. The wider work is workflow automation, document and invoice handling, lead routing, and other processes, with a person taking over when judgment is required.
Where should AI not be used?▾
Anywhere a wrong automated decision creates legal, safety, or irreversible financial risk without review. AI assists. It does not replace business judgment or professional accounting decisions.
Do we need a data science team?▾
No. We design, integrate, and maintain the automation. Your team owns the business rules and reviews outcomes.
What should we automate first?▾
Start by finding repetitive work: how often it happens, how long it takes, and whether it can be standardized. Rules and integrations come before AI. The Automation Audit is the short version of that map.
How quickly can automation go live?▾
A pilot starts after the workflow is mapped. A single lead route is a smaller project than a multi-system agent. We size the first release after the process is understood, and a person approves steps that carry legal or financial risk.
Which models and orchestration tools do you use?▾
Production stacks such as OpenAI, Anthropic, n8n, and Make when they fit. See Partners for the platforms we ship with.