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OutscalersHuman + AI Engineering

Business Process Automation

Less copy-paste. More time for work that needs people.

We map your workflows, connect the systems behind them and automate the repetitive steps — keeping people in control of approvals, exceptions and judgment calls.

Our approach
Automated workflow with human checkpointsA request is received, AI extracts and classifies it, and a rules check decides the path: routine cases run automatically, exceptions go to a person for approval. Both paths update connected systems and write an audit log.routineexceptionRequest receivedemail · form · APIAI extracts & classifiesconfidence scoredRulesAutomated stepwithin limitsHuman approvaljudgment neededSystems updatedCRM · ERP · financeAudit logevery decision traced

Example workflow

Same process. Fewer manual steps. People still decide.

An illustrative invoice-handling workflow before and after automation. Your workflow will differ — we map it with you first.

Before: manual

  1. Invoice arrives by email
  2. Someone opens and reads it
  3. Details re-typed into finance system
  4. Manager approval chased by email
  5. Status tracked in a spreadsheet

After: automated, with checkpoints

  1. Invoice captured automatically
  2. AI extracts supplier, amount and dates
  3. Rules check against purchase orders
  4. Exceptions and large amounts approved by a person
  5. Finance system updated, with an audit trail

The challenge

Signs a process is ready for automation

  1. 01

    Manual hand-offs

    Data is re-entered between systems, creating delays and inconsistencies.

  2. 02

    Invisible bottlenecks

    Nobody can see where a request is stuck or why it is taking so long.

  3. 03

    Brittle point integrations

    One-off scripts break silently when a connected system changes.

Deliverables

Automation we deliver

  • Workflow automation

    Multi-step workflows with triggers, conditions, retries and audit trails.

  • System integrations

    Reliable connections between CRMs, ERPs, finance tools, databases and internal apps.

  • Repetitive-task reduction

    Automation for data entry, reconciliation, reporting and notifications.

  • Intelligent orchestration

    AI-assisted classification and routing, with confidence thresholds and human review queues.

Human + AI approach

Clear roles for people and AI

AI makes our engineers faster. It doesn't replace their judgment — and its output is always reviewed.

Engineers own

  • Map the real process with the people who run it
  • Decide which steps should never be automated
  • Approve exceptions and high-impact actions
  • Monitor outcomes and adjust rules over time

AI assists

  • Classifies and extracts information from incoming requests
  • Drafts integration code and data mappings for review
  • Flags unusual cases for human attention

AI suggestions are drafts. An engineer reviews, tests and approves before anything is merged.

Delivery process

How an engagement runs

  1. 1

    Map the workflow

    Document each step, owner, system and exception path.

  2. 2

    Prioritise

    Start with the steps that are frequent, rules-based and low-risk.

  3. 3

    Automate with checkpoints

    Build the flow with approval steps and clear fallbacks.

  4. 4

    Measure and extend

    Track throughput and exceptions, then expand coverage.

Technical capabilities

Tools and techniques

Integration
REST & webhooksMessage queuesScheduled jobsFile-based exchange
Orchestration
Workflow enginesRetries & idempotencyAudit loggingAlerting
Intelligence
ClassificationExtractionRoutingReview queues

Related services

Often combined with

$ outscalers start --project your-idea

Which process is costing your team the most time?

Share your goals and constraints. We'll come back with practical options, a realistic plan and the questions worth asking.