Automate the right processes first
We measure volume, rules and exceptions, estimate the hours each process could save, and clean up the process before a bot copies it.
Discuss it with us[00] Robotic Process Automation
We build robotic process automation for the rule-based work that fills your team's day, such as keying data between systems, processing invoices and producing the same reports every week. Bots work through the software you already run, so nothing underneath has to change.
built for
Illustration of a workflow editor running 3 example workflows. 1: An invoice email arrives, OCR reads the supplier, PO number, lines and total, the bot checks them against the order and supplier records, posts the invoice to the ERP and logs the run. 2: A new starter is approved, the bot reads the starter form, finds the manager field missing, and instead of creating accounts it queues the case with the reason attached for HR to complete. 3: Every Monday morning the bot pulls sales, stock and open orders from the ERP, checks the totals against the ledger, builds the weekly report from a template and emails it to the managers.
What we deliver
Every project starts with an assessment. We look at how a process really runs, including the exceptions, and only automate the steps that are stable, high volume and clearly defined. Where a step needs reading a document or an email, we add OCR, language models or machine learning, with a person reviewing anything the bot is unsure of.
We build on UiPath, Automation Anywhere, Blue Prism and Microsoft Power Automate, and connect bots to ERP systems such as SAP and Oracle, CRMs such as Salesforce and HubSpot, and your databases. After go-live we monitor the bots and update them when the applications they use change.
We measure volume, rules and exceptions, estimate the hours each process could save, and clean up the process before a bot copies it.
Discuss it with usWe review candidate processes for volume, rules, stability and exceptions, and estimate the hours each could save, so you automate the right ones first.
We remove unnecessary steps and approvals before automating, so the bot follows a clean process rather than copying a slow one.
Bots on your RPA platform, connected to your ERP, CRM and databases, run on schedules, with failed cases queued for a person.
Discuss it with usAttended and unattended bots built for your workflow, with clear logging and error handling so a failed step stops safely instead of carrying on.
Bots connect SAP, Oracle, Salesforce, HubSpot, SQL and NoSQL databases and cloud apps on AWS, Azure or Google Cloud, using APIs where they exist.
Bots run on schedules or triggers through the platform's orchestrator, with dashboards and alerts that show what ran, what failed and why.
Cases the bot cannot complete go to a queue with the reason and the data attached, so a person finishes them without starting again.
OCR, machine learning and language models let bots read invoices and emails, with doubtful results checked by a person.
Discuss it with usOCR and document models read invoices, purchase orders and forms into fields, and the bot posts them once totals and supplier details check out.
Machine learning and language models classify emails, extract details from free text and route cases, adding judgement to steps rules alone cannot handle.
Bots that draft replies, summarise case notes or fill a form from an email, with the output checked against rules before anything is saved or sent.
which approach fits
RPA is the right tool for stable, rule-based work on screens. Where systems have APIs, inputs are messy or the process keeps changing, something else does the job better, and the assessment says so.
Runs often, on stable screens, with fixed rules
what it looks like: Keying invoices, onboarding records, weekly reports
the right tool: An RPA bot on the platform you already license, or the one that fits your systems
Moves data between systems that have APIs
what it looks like: Cloud apps such as Salesforce, HubSpot or a modern ERP
the right tool: A direct API integration, which breaks less often than screen automation
Starts with scanned documents
what it looks like: Invoices, purchase orders and forms
the right tool: Document processing (OCR) that feeds the bot, with doubtful fields sent to a person
Document processing, explainedStarts with free-text emails that need judgement
what it looks like: Customer requests, complaints, free-form orders
the right tool: An AI agent decides what the request is; the bot does the fixed steps
AI agents vs RPAChanges every month or is mostly exceptions
what it looks like: No two cases handled the same way
the right tool: Redesign the process first, or hand the judgement to an AI agent
AI agent developmentRuns a few times a month and takes minutes
what it looks like: Low volume, little time spent
the right tool: Leave it manual. A bot will not pay back, and we will tell you so.
Check the paybackWhy it matters
Robotic Process Automation is planned around these outcomes, measured against a baseline we agree with you up front.
Discuss your projectStaff stop copying data between screens and spend their time on the cases that need a person.
A bot enters the same field the same way every time and checks totals before it posts.
Unattended bots run overnight and at weekends, so reports and records are ready when the team arrives.
Month-end peaks and seasonal spikes are absorbed by running more bots, not by recruiting temporary staff.
results
From our published case study.
input the challenge
Manual, repetitive processes, high operating costs, little data to base decisions on and systems that could not keep up with growth.
output what we delivered
AI automation and RPA for rule-based work, workflow automation across departments and real-time analytics, rolled out in four phases.
source: enterprise with complex operational workflows case study
How we work
A clear five-step process, so you always know what happens next and what you will get.
Every project starts with a free, no-obligation consultation.
$ appsinai run --pilot-first
We check which processes can be automated, how often they run and how many exceptions they have, and list the expected benefit of each.
you get ranked process list · hours saved per process · fixed quote
we need a list of candidate processes · time with the people who run them
Inputs, outputs, dependencies, decision points and exceptions are written up with flowcharts your process owners review and sign off.
you get process design document · flowcharts · exception list
we need process owners to review and sign off
Bots are built in the agreed RPA platform with error handling, logging and credentials stored in the platform's vault.
you get working bots · error handling · run logs
we need bot accounts and test access to each system · platform licences
We test each step, the hand-offs between systems and the edge cases, then run the bot alongside your team before it works alone.
you get test results · pilot results · go / no-go
we need real cases to test with · staff to check the bot's work
Bots go live with monitoring and alerts. When a screen or rule changes, we update the bot and refine it from your team's feedback.
you get monitoring and alerts · bot updates · run reports
we need notice of system changes
↺ results feed the next improvement cycle$
Security & control
A bot has access to real systems and real data, so we give it the same controls you would give a new employee, and a few more.
Ask us about securityEach bot signs in with a dedicated account limited to the screens and records it needs. Credentials sit in the platform's vault, never in scripts.
Every run records what the bot read, entered and skipped, so auditors can trace any record back to the run that touched it.
Bots run on your servers or cloud machines, so business data stays inside your network and the AI services you have approved.
Payments, write-offs and anything the bot is unsure of wait for a person to approve, with the evidence laid out for them.
FAQ
Straight answers to what buyers ask us most. Can't find what you need?
Email sales@appsin.ai or call +91-9025555584.
Ask us directlyRPA uses software bots that repeat the actions a person takes in digital systems: opening applications, reading screens, copying data, filling forms and sending files. It suits repetitive, rule-based tasks such as data entry, invoice processing and report generation.
RPA works at the user interface level, so it does not need changes to the systems underneath. That usually makes it faster to deploy and less disruptive. Traditional automation needs backend integration or custom code, which is more robust when an API exists, so we use APIs where we can and screens where we must.
Processes that run often, follow clear rules, use digital inputs and change rarely: invoice entry, customer and staff onboarding, payroll inputs, claims data, compliance checks and recurring reports. Processes that need a lot of judgement or change every month are better redesigned first, or handled by an AI agent.
Yes. OCR reads scanned documents, language models interpret emails and free text, and machine learning classifies and routes cases. Adding AI lets bots handle semi-structured and unstructured data, with a person reviewing low-confidence results.
Compare AI agents and RPAIf you already license UiPath, Automation Anywhere, Blue Prism or Power Automate, we usually build on it. If not, we recommend one based on the systems you need to reach, the number of bots, your Microsoft or cloud set-up and the licence cost for your volume.
It depends on how often the process runs and how complex it is. Simple, high-volume tasks can pay back within weeks; complex workflows take months. We estimate the time saved for each process during the assessment, before you commit to a build.
Try the automation ROI calculatorScreen changes can break a bot, which is why monitoring and maintenance are part of every project. Alerts tell us when a run fails, and we update the bot. Using APIs and stable selectors where possible keeps these fixes rare.
One or two. Start with stable, high-volume processes where the hours saved are easy to measure, prove them in a pilot, then add more. Starting small shows the return quickly, builds trust with the teams involved and sets up the logging, monitoring and support habits the later bots will rely on.
Usually yes. Unattended bots need licences on every major platform, and some Microsoft plans already cover parts of Power Automate. We size the licences you would need during the assessment and include them in the running-cost estimate, so you see the full cost before you commit.
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Tell us which tasks take up your team's week. We will assess them, show you which ones a bot can take over and quote a fixed-scope build.