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Intelligence

Make your business work smarter

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.

Map the first workflow in an Automation Audit. The stacks we ship with are on Partners.

What is AI automation?

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

  1. Customer enquiry
  2. Employee reads the message
  3. Employee understands the requirement
  4. Employee creates a lead
  5. Employee assigns a salesperson
  6. Employee sends a reply
  7. Employee creates a follow-up reminder

AI and automation

  1. Customer enquiry
  2. AI reads and understands
  3. Lead created automatically
  4. Lead categorized
  5. Salesperson notified
  6. Customer receives a response
  7. 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
  1. Order received
  2. Order processed
  3. Inventory updated
  4. Invoice created
  5. Team notified
  6. 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
  1. Website enquiry
  2. Lead created
  3. Salesperson notified
  4. Customer acknowledgement
  5. Follow-up task

The sales team can respond faster and reduce the chance of missing potential customers.

Customer enquiry → Automation → CRM → Salesperson → Follow-upSample layout

Customer enquiry → Automation → CRM → Salesperson → Follow-up

03

Invoice Automation

Connect orders, invoices, customer communication, and supported accounting workflows.

  • Invoice generation
  • Customer invoice delivery
  • Order-to-invoice workflows
  • Payment-related updates
  • Accounting system updates where supported
  1. Order received
  2. Invoice generated
  3. Customer receives invoice
  4. Accounting system updated

Reduce repetitive invoice work and keep transaction information moving between connected systems.

04

Employee Workflow Automation

Structure internal requests, approvals, updates, and notifications.

  • Employee requests
  • Approvals
  • Notifications
  • Balance updates
  • Internal task creation
  • Employee-related workflows
  1. Employee submits leave
  2. Manager receives request
  3. Manager approves
  4. Leave balance updated
  5. Employee notified

Reduce manual coordination and make internal processes easier to track.

Employee → Request → Manager → Approval → System update → NotificationSample layout

Employee → Request → Manager → Approval → System update → Notification

05

AI Customer Support

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
  1. Customer question
  2. AI understands request
  3. 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
  1. Customer states interest
  2. Chatbot collects information
  3. Enquiry is created or routed
  4. 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
  1. Document uploaded
  2. AI reads document
  3. Information extracted
  4. Data structured
  5. 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
  1. Invoice upload
  2. AI reads invoice
  3. Information extracted
  4. Structured data
  5. 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.

  1. AI reads
  2. Understands intent
  3. Categorizes lead
  4. Prioritizes
  5. 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
  1. New email
  2. AI reads email
  3. Identifies request
  4. Classifies
  5. 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
  1. Business data
  2. AI analysis
  3. Summary
  4. 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
  1. Data source
  2. AI extraction
  3. Structured information
  4. 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
  1. Business data
  2. AI analysis
  3. Pattern identified
  4. 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

  1. 500 enquiries
  2. Messages read by hand
  3. Each enquiry interpreted
  4. Information copied
  5. Leads created
  6. Salespeople assigned
  7. Replies sent
  8. Follow-ups created

With AI and automation

  1. 500 enquiries
  2. AI reads
  3. Intent understood
  4. Leads categorized
  5. Prioritized
  6. Leads created
  7. Routed to sales
  8. 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

  1. Website
  2. CRM
  3. ERP
  4. Ecommerce
  5. Email
  6. WhatsApp and communication systems
  7. Business applications
  8. AI and automation

Our approach

  1. 01

    Understand

    We first understand the current business process.

  2. 02

    Identify

    We identify repetitive work, bottlenecks, manual data movement, and common problems.

  3. 03

    Map

    We map the existing workflow.

  4. 04

    Automate

    We identify which steps can be automated with rules and integrations.

  5. 05

    Add AI

    Where AI provides real value, we add it for understanding, classification, extraction, assistance, or insights.

  6. 06

    Connect

    We connect the workflow with the relevant business systems.

  7. 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.

Your Team Should Not Spend All Day Doing Repetitive Work.

From simple workflow automation to AI-supported business processes, TechNewWings helps turn manual work into connected digital workflows.