section services -- robotic process automation

RPA development services built to run without a human in the loop.

Software bots that automate repetitive, rules-based work, data entry, invoice processing, and report generation, connected to the systems you already run.

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  • Amazon
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  • Hitachi
  • Viacom
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  • Zee
  • CEAT
  • Stoneridge

definition

What is robotic process automation?

Robotic process automation uses software robots, bots, to carry out repetitive, rules-based digital tasks the same way a person would: clicking through screens, entering data, moving files between systems. It's rules-based, not predictive, a bot follows the process you define, every time, without judgment calls.

Robotic process automation development overview

key takeaways

  • RPA is rules-based: a bot executes the exact steps you define, which makes it predictable, auditable, and fast to deploy on well-defined processes.

  • The global RPA market is projected to reach $110.06 billion by 2034, up from $22.58 billion in 2025, with North America holding 56% of the market (Fortune Business Insights, 2025).

  • The RPA market is forecast to grow at a 42.1% CAGR from 2025 to 2029, adding an estimated $40.56 billion over the period (Gartner / Technavio, 2024).

  • You don't need every process automated at once; you need one repetitive, well-defined workflow to prove out before expanding.

// rpa vs. predictive automation

RPA and predictive systems solve different problems. RPA follows a fixed, rules-based process, if the invoice matches the purchase order, approve it, and it does that reliably at scale. Predictive systems, built through AI and ML development, make judgment calls on ambiguous cases, flagging an invoice as likely fraudulent, for example. Many mature automation programs use both: RPA for the deterministic steps, predictive models for the exceptions that need a judgment call.

capabilities - seven

What our RPA development team does.

Seven capabilities, one goal: bots that keep running reliably after go-live, not just in the demo.

  1. 01

    RPA bot development

    Software bots built on UiPath, Automation Anywhere, or Blue Prism, matched to the platform that fits your existing systems, not the vendor we happen to prefer.

  2. 02

    Process discovery and mapping

    A structured audit of your repetitive workflows before anything gets automated, so you automate the right steps in the right order.

  3. 03

    System and legacy integration

    Bots connected to your databases, APIs, and legacy systems, including the ones that predate modern integration standards.

  4. 04

    Document and data extraction

    Structured and unstructured data captured and processed from invoices, forms, and reports, so manual entry stops being a bottleneck.

  5. 05

    Attended and unattended bot deployment

    Bots that run on a schedule with no human trigger, or bots that assist a person mid-task, deployed based on how the workflow actually runs.

  6. 06

    Testing and quality assurance

    Bots tested against real process variations before go-live, so exceptions get handled instead of silently breaking the workflow.

  7. 07

    Managed services and monitoring

    Ongoing bot monitoring and maintenance, so a bot that starts failing gets caught before it produces downstream errors nobody notices.

method

How does an RPA engagement actually work?

A Syndell RPA engagement runs five stages: process discovery, design, development and integration, testing and deployment, and monitoring. Every stage ends with something you can evaluate before the bot touches production data.

  1. 01

    Exploration and process discovery

    // outcome

    -> a confirmed list of processes worth automating, and an honest read on which aren't

  2. 02

    Process design and bot architecture

    // outcome

    -> a documented workflow design and the automation platform matched to your systems

  3. 03

    Bot development and system integration

    // outcome

    -> working bots connected to your databases, APIs, and existing applications

  4. 04

    Testing and deployment

    // outcome

    -> bots tested against real process exceptions, then deployed to production

  5. 05

    Monitoring and optimization

    // outcome

    -> ongoing monitoring so bot failures get caught and fixed before they compound

platforms and languages our team builds with

  • UiPath
  • Automation Anywhere
  • Blue Prism
  • Python
  • Java
  • .NET
  • Selenium
  • Docker
  • SQL

-- rpa, in numbers --

$110.06B

projected size of the global RPA market by 2034, up from $22.58B in 2025, with North America holding 56% share

src - Fortune Business Insights, 2025
42.1%

CAGR forecast for RPA market growth from 2025 to 2029, adding an estimated $40.56B over the period

src - Gartner / Technavio, 2024
1.5M

staff hours freed by roughly 1,000 robotic automation solutions built for the US federal government

src - Fortune Business Insights, 2025

the honest part

Why do RPA bots break in production?

A bot built against a screen layout is fragile by design: move a button, update the interface, or change a file format, and a bot with no exception handling stops silently or, worse, processes bad data without anyone noticing. Most RPA failures trace back to one of two causes, brittle automation built directly against a UI that changes, or nobody monitoring the bot after launch.

Reliable RPA starts with process discovery, mapping the actual steps and their exceptions before a single bot gets built, so the automation handles the real workflow, not the idealized version of it. It continues with integration built against APIs and databases wherever possible instead of screen-scraping, and it doesn't stop at go-live, ongoing monitoring catches a failing bot before it causes downstream errors. Syndell's engineering team runs out of a studio in Ahmedabad, serving businesses across the US, UK, and Australia, which means your bots get the same reliability discipline regardless of where your team or your systems sit.

The global RPA market was valued at $22.58 billion in 2025 and is projected to reach $110.06 billion by 2034, a 19.1% CAGR, with North America holding 56% of global market share.

Fortune Business Insights, 2025

The US federal government created around 1,000 robotic automation solutions that freed approximately 1.5 million hours of staff capacity, while automation platforms like UiPath have automated 65% of Fortune 500 repetitive tasks.

Fortune Business Insights, 2025

recent work

Automation that keeps running.

clutch: 5.0/5 - google: 4.9/5

"Syndell's commitment to making a seamless software for us was impressive. They listened, communicated, and explained things well throughout the engagement."
- Director - Colorhunt Clothing - clutch-verified

engagement

Which engagement model fits you?

Comparison of Syndell RPA development engagement models
 Process pilotProduction RPA rolloutManaged RPA services
Best forTesting whether one repetitive workflow is worth automatingMultiple processes automated and monitored end to endOngoing bot maintenance as your systems and processes change
You getA working bot for a single scoped processBots, system integrations, testing, and monitoringMonitoring, exception handling, and updates as workflows evolve
TimelineWeeks to a validated pilotMonths, phased by processMonthly, renews
TeamRPA developer + process analystFull RPA delivery squadYour composition, our bench

We skip pricing tables on purpose here - the number of processes and how much customization each one needs are what actually drive cost, and a real number after one conversation beats a guess published in advance. Tell us what you're building.

frequently - asked

Five questions,
straight answers.

01

What is RPA, and how does it help a business?

RPA, robotic process automation, uses software robots to automate repetitive, rules-based tasks, data entry, invoice processing, report generation, improving accuracy and speed while freeing your team from work that doesn't need a person doing it manually.

02

How long does it take to develop and deploy an RPA solution?

It varies depending on the complexity of the processes involved and how much customization is required, typically a few weeks to a few months, from process discovery through bot testing and go-live.

03

What are the key components of a successful RPA rollout?

Well-defined processes, the right automation platform for your systems, skilled bot developers, clear governance over who owns which bot, and continuous monitoring so a bot that breaks gets caught before it causes downstream errors.

04

Which industries and use cases commonly adopt RPA?

Finance, healthcare, manufacturing, and retail are the heaviest adopters. Common use cases include data entry, invoice processing, customer service ticket routing, and inventory management, anywhere a person is currently doing the same repetitive steps every day.

05

How much does RPA implementation cost?

It depends on how many processes you're automating and how much customization each one needs. We skip published rate cards because scope drives cost more than a standard package would suggest. Book a call and you'll get a real estimate against your actual processes.

-- next issue - your automation backlog --

Start your RPA development project.

Tell us which repetitive process is eating your team's time, we'll tell you honestly whether a bot can own it and what it takes to keep it running.

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