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Skarp Global

AI workflow automation

Automate the work between your systems.

We design AI-assisted workflows that read documents, move information between tools and complete routine steps - with approvals and exception handling where they belong.

workflows / supplier-invoiceConcept interface
Concept workflow: an invoice is received by email, fields are extracted, matched against a purchase order in the ERP, sent for finance approval, then entered in the accounting system. Three steps done, approval waiting, final step queued.
  1. Invoice receivedEmailDone
  2. Extract fieldsDocument AIDone
  3. Match purchase orderERPDone
  4. Finance approvalApproverWaiting
  5. Create billAccountingQueued

Where time goes

Repetitive work hides in the gaps between tools

  • 01

    Manual hand-offs

    Work waits in inboxes while someone copies details from one system into another.

  • 02

    Unstructured inputs

    Emails, PDFs and scans carry the information, but rule-based automation can’t read them reliably.

  • 03

    Exceptions

    Real processes have edge cases. Automation that ignores them creates more work than it saves.

  • 04

    Visibility

    When a process spans several tools, it is hard to see where any given item is or why it stalled.

What we build

Automation that understands the work

AI handles the reading and judgement-light steps; deterministic logic and people handle the rest.

  • Process discovery

    Map the current workflow, its systems and its exceptions before deciding what to automate.

  • Multi-step workflows

    Orchestrate sequences across tools, with branching, retries and clear state for every item.

  • Document processing

    Extract and validate fields from emails, PDFs and forms, flagging low-confidence values.

  • Tool integrations

    Connect email, spreadsheets, CRMs, ERPs and internal APIs through permissioned connectors.

  • Approvals and exceptions

    Route decisions to the right person with context, and queue exceptions for review.

  • Monitoring and evaluation

    Track throughput, error rates and extraction accuracy so the workflow keeps improving.

Illustrative workflow

Supplier invoice, from inbox to accounting

One example of a document workflow combining AI extraction, validation rules and human approval.

Conceptual workflow. Thresholds, systems and approvers are configured per process.

Flow

Illustrative
  1. 01Invoice arrives

    A PDF invoice is received in a shared finance inbox.

    email

  2. 02Extract key fields

    Supplier, amounts, dates and line items are extracted, each with a confidence score.

  3. 03Validate against records

    Totals are checked against the purchase order and supplier record.

    ERP

  4. When: Above threshold or mismatch

    04Approval

    Mismatches or amounts above a threshold go to a finance approver with the evidence attached.

  5. 05Create the bill

    The approved invoice is entered in the accounting system and the item is closed.

    accounting system

Approval and exception handling

Automation with the right checkpoints

We decide with you which steps run automatically, which need sign-off, and what happens when something doesn’t fit.

  • Human-in-the-loop approvals

    Sign-off steps for financial, customer-facing or irreversible actions.

  • Exception queues

    Items the workflow can’t process confidently are routed for review instead of guessed.

  • Audit trail

    Every step records inputs, outputs and who or what made the decision.

  • Safe failure

    Retries, timeouts and alerts so a failing integration doesn’t silently drop work.

Implementation approach

How we would approach it

Every engagement is shaped by your systems and constraints. A typical path looks like this.

  1. 01

    Discover the process

    Observe how the work is done today, including the exceptions people handle informally.

  2. 02

    Design the workflow

    Decide what is automated, what needs approval, and how exceptions are handled.

  3. 03

    Build and test

    Run the workflow on historical examples and compare results with what people did.

  4. 04

    Run and monitor

    Go live in stages with dashboards for throughput, errors and review queues.

Have a business problem AI could solve?

Let’s understand the challenge and explore what a useful solution could look like.

Or email info@skarp.global