Solution

Intelligent Process Automation Services

Intelligent process automation combines Robotic Process Automation (RPA), AI/ML, document understanding and orchestration to automate complex business processes end to end. Unlike traditional RPA, which handles deterministic rule-based tasks, it handles judgement-heavy work with unstructured documents, exceptions and decisions across finance, HR, operations, customer service and procurement.

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Key takeaways

Intelligent process automation combines RPA, AI/ML, document understanding and orchestration to automate processes end to end, including unstructured documents, exceptions and decisions.
DS Stream helps enterprises move from siloed RPA scripts to a governed automation platform across finance, HR, operations, customer service and procurement.
Delivery uses UiPath, Power Automate, Automation Anywhere, Microsoft Copilot Studio, Document AI and LLM-based agents.
Discovery with process mining typically takes 2 to 4 weeks; the first 2 to 3 production processes are delivered in 6 to 8 weeks.
Every bot has an owner, an audit trail and an SLA, and every automated decision is logged so compliance can audit it.
The Automation Centre of Excellence is designed so your own team can run it after handover, with runbooks, training, code review standards and pairing sessions.

What is intelligent process automation?

Intelligent process automation combines Robotic Process Automation, AI/ML, document understanding and orchestration to automate complex business processes end to end. Traditional RPA handles deterministic, rule-based tasks. Intelligent process automation handles judgement-heavy work: unstructured documents, exceptions and decisions that rules alone cannot resolve.

The right mix of RPA and AI depends on the process. DS Stream uses traditional RPA for the structured parts of a process and adds AI where the work needs judgement, reading unstructured documents, or natural language understanding.

Which problems does it solve?

It addresses hundreds of disconnected RPA scripts owned by no one that break when source systems change, process discovery driven by gut feel rather than data, document-heavy work still done manually, missing ROI measurement, compliance blockers caused by no audit trail, and shadow IT from citizen development tools.

Pain points this solution targets

Disconnected RPA scripts - hundreds of scripts owned by no one, breaking when source systems change.
Gut feel process discovery - the wrong processes get automated first.
Manual document processing - invoices, contracts and claims handled by hand because traditional RPA cannot read PDFs reliably.
No ROI measurement - programmes lose executive sponsorship after 12 months.
Compliance blockers - automation is stopped because there is no audit trail.
Shadow IT - citizen development tools produce ungoverned automation.
Bots running on a single developer laptop instead of a managed platform.

Who is this for?

It is built for operations and functional leaders who need scale without proportional headcount: COOs, Heads of Finance Operations, HR Operations, Customer Operations and Procurement, plus CIOs, Automation Programme Leads and Compliance and Risk Officers who need governed, explainable and reversible automated decisions.

Chief Operating Officer - needs scale without proportional headcount increase, with productivity gains visible in P&L within the year.
Head of Finance Operations - invoice processing, reconciliations and reporting cycles without manual intervention at month end.
Head of HR Operations - onboarding, payroll exceptions and benefits administration handled without delays.
Head of Customer Operations - faster ticket resolution, lower handle time, consistent service quality.
Head of Procurement - purchase orders, supplier onboarding and contract reviews handled at speed.
Chief Information Officer - a data foundation that supports AI ambitions without breaking the budget or the compliance posture.
Automation Programme Lead - an operating model, reusable components and ROI proof points to defend the budget.
Compliance and Risk Officer - every automated decision logged, explainable and reversible.

What we deliver

Intelligent process automation capabilities

Capabilities span discovery, production bots, document understanding, decisioning and governance, from finding the right processes to running governed automation at scale.

Process mining driven discovery

Identify high-value automation candidates using process mining and task mining
Connect to your ERP, CRM and ticketing systems
Produce a ranked automation pipeline with ROI estimates per process

Production grade RPA

Build, test and deploy production bots on UiPath or Power Automate
API integrations where possible instead of UI scraping
Monitoring, regression tests in CI/CD and a rollback path

Document intelligence

Extract data from invoices, contracts, KYC documents and emails using OCR plus ML classifiers
Azure Document Intelligence, AWS Textract and Google Document AI
Anthropic Claude for unstructured extraction

AI agents and decisioning

Chatbots and voice agents for first-line support, order taking and internal helpdesk
ML models or LLMs embedded into automation flows
Credit decisions, fraud screening, content moderation and ticket routing

Governance and CoE

Operating model, governance, tooling and ROI tracking
Every bot has an owner, an audit trail and an SLA
Citizen development tools deployed with guardrails and citizen developer enablement

How we work

Four stages take an automation programme from discovery to continuous improvement.

Discovery and process mining
We connect to your ERP, CRM and ticketing systems, run process mining, and produce a ranked automation pipeline with ROI estimates per process. Typical duration: 2 to 4 weeks.
MVP automation in 6 to 8 weeks
We deliver the first 2 to 3 production processes using your chosen platform, end to end: integration, exception handling, monitoring and documentation.
Scale and governance
We set up the Automation Centre of Excellence with operating model, naming standards, reusable components, CI/CD and ROI dashboards. Citizen developers are onboarded with guardrails.
Continuous improvement
SLA-based managed services, regression testing when source systems change, and expansion to new domains.

Industries and use cases

We deliver intelligent process automation across banking, insurance, manufacturing, retail, healthcare, public sector and telecommunications. Each industry has unique process challenges that benefit from combining RPA with AI.

Banking and financial services
Insurance
Manufacturing and logistics
Retail and consumer goods
Healthcare and life sciences
Public sector
Telecommunications

Business benefits with measurable outcomes

40-70%
Reduction in process cycle time for automated workflows.
Source: DS Stream, Intelligent Process Automation Services
30-60%
FTE capacity released for higher-value work.
Source: DS Stream, Intelligent Process Automation Services
90%+
Accuracy on document extraction, replacing manual data entry.
Source: DS Stream, Intelligent Process Automation Services
2-4 mo
Payback for top-quartile automation candidates.
Source: DS Stream, Intelligent Process Automation Services
50%
Reduction in compliance audit prep time through automated logs.
Source: DS Stream, Intelligent Process Automation Services
99%+
Bot uptime through proper monitoring and exception handling.
Source: DS Stream, Intelligent Process Automation Services

Traditional RPA compared with intelligent process automation

How the two approaches differ on the work they can absorb and how they are run.
Criterion	Traditional RPA	Intelligent process automation
Type of work	Deterministic, rule-based tasks	Judgement-heavy work with exceptions and decisions
Documents	Cannot read PDFs reliably, so document-heavy work stays manual	OCR plus ML classifiers extract data from invoices, contracts, KYC documents and emails
Integration	UI scraping that breaks when source systems change	API integrations where possible, with monitoring and regression tests in CI/CD
Ownership	Hundreds of disconnected scripts owned by no one	Every bot has an owner, an audit trail and an SLA
Measurement	No measurement of automation ROI	Ranked pipeline with ROI estimates per process and ROI dashboards
Citizen development	Produces shadow IT	Citizen development tools deployed with guardrails through the CoE

Frequently asked questions

Is this RPA or AI automation?

Both. We use traditional RPA for the structured parts of a process, and add AI where the work needs judgement, reading unstructured documents, or natural language understanding. The right mix depends on the process.

Can you work with our existing RPA platform?

Yes. We work with UiPath, Power Automate, Automation Anywhere, Blue Prism and Workato. We can also help consolidate from multiple platforms to one if you have inherited a fragmented landscape.

How do you choose which processes to automate first?

Process mining shows us volume, variation, manual effort and bottlenecks based on actual system logs. We combine that data with business priority and platform fit to rank candidates by expected ROI and complexity.

How do you prevent bots from breaking when systems change?

We use API integrations where possible instead of UI scraping. Where UI automation is needed, we add monitoring, regression tests in CI/CD and a rollback path. When a source system changes, we detect it early.

How is governance handled?

Every bot has an owner, an audit trail and an SLA. Citizen development tools are deployed with guardrails through CoE Kit or equivalent. Every automated decision is logged so compliance can audit it.

Can our internal team take over after the initial setup?

Yes. We design the Automation Centre of Excellence so your team can run it. We provide runbooks, training, code review standards and pairing sessions during handover.