Intelligent Workflow Automation
End-to-end automation across email, documents, forms, CRM, ERP, spreadsheets, databases and approval systems — with exception handling designed in, not bolted on.
02 — AI Automation
Turn repetitive work into intelligent workflows.
Automate the work itself — documents, email, approvals, records — not just the conversation about it.
The problem
The expensive work is the unstructured work.
Rules engines and RPA already took the predictable paths. What is left is judgement on unstructured input — and that is precisely where people spend their days and where errors accumulate.
- 01Invoices, contracts and forms are re-keyed by hand into systems of record.
- 02Shared inboxes are triaged manually and requests fall through the gaps.
- 03Reporting is assembled by copying between spreadsheets each month.
- 04Existing RPA scripts break whenever a layout or a screen changes.
What Pentagon X builds
The approach.
Traditional automation breaks the moment input stops being structured. AI automation handles the messy middle: the PDF that arrives in a slightly different layout, the email that phrases the request in a new way, the exception that used to need a person. We build these workflows end to end and instrument them so you can see what they are doing.
01Capture
- Email, forms, documents
- System events
- Scheduled triggers
02Understand
- Classification
- Extraction with confidence
- Validation against rules
03Execute
- Route and assign
- Write to CRM / ERP
- Draft and notify
04Exceptions
- Confidence thresholds
- Human review queue
- Volume reporting
Exception design is the difference between an automation that scales and one that quietly creates a backlog.
Capabilities
What sits inside this discipline.
Engagements draw on a subset of these, scoped to the outcome you are buying.
Document Intelligence
Extraction, classification, summarization, validation, comparison, routing and anomaly detection over invoices, contracts, purchase orders, CVs, claims, forms and reports.
AI-Powered Email Automation
Classify incoming mail, understand the request, extract the relevant fields, draft a response, route it to the right owner, open the task and update the system of record.
CRM Automation
Lead enrichment and qualification, CRM hygiene, follow-up sequencing, account research and call summarization written back to the record.
HR Automation
CV screening support, candidate communication, interview scheduling, onboarding workflows and employee FAQ handling grounded in your actual policies.
Finance Automation
Invoice processing, reconciliation support, expense classification, financial document extraction and anomaly identification — with a human approving anything that posts.
Operations Automation
Recurring reporting, approval routing, internal request handling, task assignment and operational alerting.
Browser & Legacy System Automation
Where a system predates its own API, we automate the interface — with the same logging, permissioning and failure handling as any other integration.
How it works in practice
Worked examples.
These are illustrative constructions, not client case studies. We do not publish customer names, savings figures or results we have not verified.
Accounts payable invoice intake
The problem
Invoices arrive as PDFs from hundreds of suppliers in dozens of layouts. A finance clerk opens each one, keys the header and line data into the ERP, and matches it to a purchase order by hand.
What we would build
A workflow that reads the invoice, extracts header and line items with a confidence score per field, matches against the PO and goods receipt, and routes only genuine exceptions to a person.
How it works
- 01Monitor the AP inbox and capture attachments
- 02Classify the document and extract fields with per-field confidence
- 03Three-way match against purchase order and receipt records
- 04Auto-post clean matches; route discrepancies with the reason attached
- 05Log every extraction and decision for audit
Potential business impact
Clerks review exceptions instead of typing invoices, and the month-end close stops depending on how much manual entry got finished.
Shared inbox triage and routing
The problem
A single operations mailbox receives quotes, complaints, status chases and internal requests. Triage is manual, SLAs are informal, and nothing is measured.
What we would build
An automation that classifies each message by intent and urgency, extracts the entities that matter, creates or updates the ticket, drafts a reply for the owner, and escalates anything time-critical.
How it works
- 01Classify intent, urgency and account against a defined taxonomy
- 02Extract reference numbers, dates and requested actions
- 03Create or update the ticket in the service system
- 04Draft a grounded reply for human send-off
- 05Escalate breaches and report volumes by category
Potential business impact
Consistent response times, a real picture of what the inbox is actually receiving, and a team working a queue instead of a scroll.
Client outcome
What changes for the business.
- Process cycle times measured in minutes rather than days
- Fewer manual errors on high-volume, low-variation work
- Exception queues that shrink instead of growing with volume
- Capacity released back to the team without headcount change
Our thinking
The argument behind this.
Where we set out the reasoning, in more detail than a capability list allows.