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, IPA handles judgement-heavy work that includes unstructured documents, exceptions, and decisions.

What we deliver

DS Stream helps enterprises move from siloed RPA scripts to a governed automation platform. We design, build, and run intelligent process automation across finance, HR, operations, customer service, and procurement. We combine UiPath, Power Automate, Automation Anywhere, Microsoft Copilot Studio, Document AI, and LLM-based agents to deliver measurable productivity gains.

Talk to our experts
Process discovery and prioritisation
RPA development
Document AI and intelligent capture
Conversational AI agents
AI-augmented decisioning
Automation Centre of Excellence
/ Problem

What pain points do enterprises face?

Hundreds of disconnected RPA scripts owned by no one, breaking when source systems change. Process discovery driven by gut feel rather than data. Document-heavy work still done manually because traditional RPA cannot read PDFs reliably. No measurement of automation ROI. Compliance teams blocking automation because there is no audit trail. Bots running on a single developer laptop. Citizen development tools producing shadow IT instead of governed automation.

Disconnected RPA scripts
Hundreds of disconnected RPA scripts owned by no one, breaking when source systems change.
Gut feel process discovery
Process discovery driven by gut feel rather than data. Wrong processes get automated first.
Manual document processing
Document-heavy work (invoices, contracts, claims) still done manually because traditional RPA cannot read PDFs reliably.
No ROI measurement
No measurement of automation ROI. Programmes lose executive sponsorship after 12 months.
Compliance blockers
Compliance teams blocking automation because there is no audit trail.
Shadow IT from citizen development
Citizen development tools producing shadow IT instead of governed automation.
/ What We Deliver

Our capabilities

Process mining driven discovery
Production grade RPA
Document intelligence
AI agents and decisioning
Governance and CoE
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, Google Document AI, Anthropic Claude for unstructured extraction.

AI agents and decisioning

Deploy chatbots and voice agents for first-line support, order taking, and internal helpdesk.

Embed ML models or LLMs into automation flows for credit decisions, fraud screening, content moderation, ticket routing.

Governance and CoE

Operating model, governance, tooling, ROI tracking, and citizen developer enablement.

Every bot has an owner, an audit trail, and an SLA. Citizen development tools deployed with guardrails.

/ How it Works

How we work

Step 1
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.

Step 2
MVP automation in 6 to 8 weeks

We deliver the first 2 to 3 production processes using your chosen platform. End to end including integration, exception handling, monitoring, and documentation.

Step 3
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 onboarded with guardrails.

Step 4
Continuous improvement

SLA-based managed services, regression testing when source systems change, expansion to new domains.

/ Business Impact

Business benefits with measurable outcomes

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

40 to 70 percent reduction in process cycle time for automated workflows

30 to 60 percent FTE capacity released for higher-value work

90 percent plus accuracy on document extraction, replacing manual data entry

2 to 4 month payback for top-quartile automation candidates

50 percent reduction in compliance audit prep time through automated logs

99 percent plus bot uptime through proper monitoring and exception handling

/ Who This is For

Who this is for

Chief Operating Officer
Needs scale without proportional headcount increase. Wants productivity gains visible in P&L within the year.
Head of Finance Operations
Needs invoice processing, reconciliations, and reporting cycles that do not require manual intervention at month end.
Head of HR Operations
Needs onboarding, payroll exceptions, and benefits administration handled without delays.
Head of Customer Operations
Needs faster ticket resolution, lower handle time, consistent service quality.
Head of Procurement
Needs purchase orders, supplier onboarding, contract reviews handled at speed.
Chief Information Officer
Needs a data foundation that supports AI ambitions without breaking the budget or the compliance posture.
Automation Programme Lead
Needs an operating model, reusable components, and ROI proof points to defend the budget.
Compliance and Risk Officer
Needs every automated decision logged, explainable, and reversible.
/ Use Cases

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.

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

Frequently asked questions

Is this RPA or AI automation?

Both. We use traditional RPA for structured parts of a process and add AI where the work needs judgement.

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.

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.

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.

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.

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.

Can our internal team take over after the initial setup?

Yes. We design the Automation CoE so your team can run it.

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

Ready to transform your automation programme?

Talk to our intelligent process automation experts about your roadmap. Book a 30-minute consultation about your automation programme.

Book a 30-minute consultation
STAGE 1

Discovery and assessment

Process mining and automation candidate identification. Ranked pipeline with ROI estimates. Typically 2 to 4 weeks.

STAGE 2

MVP delivery

First 2 to 3 production processes delivered. End to end including integration, exception handling, monitoring, and documentation. Typically 6 to 8 weeks.

STAGE 3

Automation CoE setup

Operating model, governance, naming standards, reusable components, CI/CD, and ROI dashboards. Citizen developer enablement with guardrails.

ONGOING

Managed services

SLA-based managed services, regression testing, expansion to new domains. Continuous improvement and support.