Capabilities  ·  Intelligent Process Automation

Repetitive work, done accurately, at any hour.

Intelligent Process Automation fuses AI with robotic process automation to streamline repetitive, rule-based tasks — improving efficiency, minimising errors and lowering operational cost, without changing your IT estate.

ERPApplicationsDatabasesExcel & CSVPDF & scansEmailread and write, both waysAIreason · classify · decideBOTacts on your systemsHuman agentexceptions · commandsescalateinstructhuman-in-the-loop

01 — The basics

RPA, with intelligence on top

Your business already runs on a spread of systems — ERP, line-of-business applications, databases, spreadsheets, PDFs and email. Robotic Process Automation puts a software worker across them, reading and writing exactly as a person would, with no change to your IT infrastructure.

What AI adds is judgement: the ability to make sense of what those systems return, decide what should happen next, and know when the decision belongs to a human instead.

Rule-based automation

A bot that repeats the steps you recorded

It logs into the same ERP, opens the same spreadsheet, reads the same mailbox and posts to the same database — quickly, tirelessly and exactly as instructed. What it cannot do is interpret. Anything outside the recorded path stops the run.

  • Moves data between systems on a fixed path
  • Needs structured, predictable inputs
  • A person still reads anything unstructured
  • Every exception queues for manual handling

Intelligent Process Automation

The same bot, now able to make sense of what it finds

AI sits alongside the bot. It reads what arrives — an emailed PDF, a scanned statement, a message in free text — decides what it is and what should happen next, then lets the bot act across your applications. Where the decision is not the bot's to make, it goes to a person.

  • Interprets unstructured and scanned inputs
  • Classifies, extracts and validates without a template per source
  • Escalates only what genuinely needs judgement
  • Takes instructions back from the human and continues

Combining Robotic Process Automation with Artificial Intelligence to create Intelligent Business Process Automation.

02 — The scope

Four areas we automate

Most programmes we run fall into these four groups, usually starting with one and expanding into the others.

Data Capture

Getting information into the systems that need it.

  • Uploading transaction data from various systems into the main system
  • Integrating data between systems
  • Processing forms and entering data using RPA and intelligent OCR

Reconciliation

Making sure two records of the same truth agree.

  • Automating download of data into predefined templates
  • Collating transaction data across sub-systems
  • Validating data and identifying rule-based exceptions

Communication

Keeping stakeholders informed without anyone chasing.

  • Follow-ups and informatory messages to customers, employees and stakeholders
  • Alert and notification management
  • Email, chat, Telegram, WhatsApp and Teams channels

Reporting

Turning scattered data into the report someone actually reads.

  • Gathering data from multiple systems
  • Cleansing data and generating consolidated reports on predefined logic
  • Distributing reports to owners or publishing to a shared location

Leveraging the BOT Mantra framework and asset library reduces implementation effort by 30–40%.

03 — Document processing

Intelligent Document Processing

Organisations produce and manage a diverse array of documents across many departments. Extracting information from them by hand is painstaking, error-prone and slow — and it is where most automation programmes stall.

Our solution streamlines classification and data extraction across structured, semi-structured, unstructured, digital and scanned documents. The extracted structured data then flows straight into RPA for downstream processing and analytics.

Optical Character RecognitionReading the characters off the page, including scanned and photographed documents.
Artificial Intelligence algorithmsDeciding what the document is and which values matter, including for formats never seen before.
Business domain specific rulesValidating what was extracted against the way your business actually works.

The kinds of documents this handles

A few examples of what we have processed — not a list of limits. The approach generalises to whatever your business receives.

Financestructured and semi-structured
Invoices, purchase orders, payment advices, utility bills, credit notes
Identityphotographed and scanned
Aadhaar, PAN, driving licence, passport
Government & statutoryfixed formats, frequent revisions
Government forms, Form 26AS, GSTR documents, tax notices
Insurancelong, clause-heavy
Policies, endorsements and related paperwork
Organisation-specificyour formats, your counterparties
Bank statements, vendor and customer ledgers, contracts, dockets
Multi-document filesseveral documents in one
Classified, split and extracted by our own algorithms combined with LLMs

Selecting the right AI-powered document processing solution

OCR and ICR evolved gradually, but the real advances have come only in recent years. The key to success is choosing a cost-effective, scalable approach that fits your specific needs — which starts with three questions.

What is the nature of the document?
How difficult is it to replace or upgrade the technology?
Have AI hallucination risks been accounted for?

By combining diverse technology components rather than betting on one, we deliver solutions that improve cost-effectiveness, accuracy and flexibility — minimising reliance on any single technology while staying adaptable to your needs.

The processing pipeline

01Raw Data ExtractionEverything the page contains, before any judgement is applied.
02Data FormattingNormalising what came off the page into something machine-readable.
03Data ClassificationDeciding what the document is and which template applies.
04Relevant Data ExtractionPulling only the fields the downstream process needs.
05Domain Rules ValidationChecking the values against your business rules.
06Robotic Process AutomationPosting the result into the systems that act on it.

04 — People in the loop

Where a person still decides

As RPA evolves into Intelligent Process Automation, bots can no longer operate in isolation. They belong inside enterprise workflows where people and automation collaborate, and where leadership has full visibility.

Quality assurance

Maintaining accuracy and consistency across automated processes.

Complex decision-making

Handling the exceptions that genuinely require human judgement.

Continuous improvement

Refining the automation through human feedback on real cases.

Regulatory compliance

Ensuring adherence to industry standards and legal requirements.

Ethical considerations

Preserving fairness, transparency and accountability in what the system decides.

Leadership visibility

A real-time dashboard on status and performance, so the process can be managed rather than guessed at.

Sample workflow

Invoice processing with human oversight

1Invoice uploadmanual submission by employees
2Automated processingBOTs extract, validate and process
3Exception handlinghuman reviewers verify what failed
4Final processingBOTs complete the workflow

Throughout, a leadership dashboard gives full visibility into status and performance. The approach optimises efficiency, improves accuracy, reduces operational cost and accelerates turnaround, while keeping compliance and transparency intact.

05 — Platforms and benefits

What we build with, and what changes

Increased productivity

Near real-time processing, with BOTs available 24×7, 365 days — freeing your people for value-added work.

Increased quality

Consistent, correct output with zero manual errors.

Enhanced scalability

Human and digital workforces balanced against business peaks and troughs.

Zero change to your IT landscape

Low integration cost, faster benefit accrual and quicker ROI.

Better customer experience

Faster and more accurate resolution for every stakeholder.

Full auditability

Every automated run leaves a record your audit team can read.

Built on the platform that fits your estate

We are not tied to a single automation vendor. Where you have already licensed a platform, we build on it; where you have not, we recommend based on your process mix rather than our own preference.

Microsoft Power Automate | FlowAutomation AnywhereUiPathPythonBOT Mantra framework and asset library

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