AI Workflow Automation
Automations that use AI to read emails, documents and forms, extract the data and push it into your CRM or ERP without manual entry.
- Bilateral NDA protected
- 100% client code & IP ownership
- 2–4 week agile sprints

AI Workflow Automation: key facts
- What it is
- Insyrge builds automations that use AI to read emails, documents and forms, extract the data and push it into your CRM or ERP, with validation, error handling and an audit log.
- Who it is for
- Teams that re-type data from emails, PDFs or forms into business systems; Finance and operations teams processing invoices, orders or applications.
- Main deliverables
- Process map, Extraction pipeline, Validation rules, System write-back, Error handling and audit log.
- Works with
- Email, document storage, forms, CRM, ERP and accounting systems.
- How it starts
- A free 45-minute discovery call, then a written scope agreed before any build starts.
- Ownership
- You own the code, configuration and documentation. Ongoing support is optional.
Who it is for and the problems it solves
Who it is for
- Teams that re-type data from emails, PDFs or forms into business systems
- Finance and operations teams processing invoices, orders or applications
- Businesses whose current automations break whenever a document layout changes
Problems it solves
- Data is copied by hand from attachments into the CRM or accounting system
- Template-based extraction fails when suppliers or customers change their formats
- Errors are found weeks later, at month end or by the customer
- Nobody can tell which automation changed a record
What you get
Tested deliverables, included in this service
Clear milestones agreed in writing, with the code and configuration handed over to you.
- 01
Document and email parsing with LLMs
- 02
Works across Zoho, HubSpot, Salesforce, D365 and Odoo
- 03
Error handling and audit logs
What each deliverable includes
- Process map
- The current steps, systems and decision rules, and which steps the AI will handle.
- Extraction pipeline
- AI parsing of emails, PDFs, images and forms into structured fields.
- Validation rules
- Checks against your CRM or ERP data, with low-confidence items sent for human review.
- System write-back
- Records created or updated in the CRM, ERP or accounting system.
- Error handling and audit log
- Retries, alerts and a log of every document processed and change made.
- Documentation
- How to add a new document type or field.
The process
How an engagement runs
Scope and deliverables are agreed before any build starts.
- Step 01
Discovery
We review your goals, current setup and the tools involved.
- Step 02
Plan
Scope, deliverables and timeline agreed in writing before work starts.
- Step 03
Build and test
The solution is configured, checked against real scenarios.
- Step 04
Handover
Documentation and training so your team can run it day to day.
Typical timeline and what you receive at each phase
- Phase 01
Discovery call
A list of candidate tasks, the systems involved and the data the AI may use.
- Phase 02
Written scope
Tasks, guardrails, approval points, test cases and how success is measured, agreed before build.
- Phase 03
Pilot build
Working version connected to your systems in a test environment, checked against real examples.
- Phase 04
Launch and tune
Live use with logging; prompts and rules tuned with you, then code and documentation handed over.
Durations depend on scope and are set in the written proposal. Build work runs in 2–4 week sprints.
Platforms & capabilities
Tech this service works with
- HubSpot
- Salesforce
- Odoo
- CRM
- ERP
- Workflow automation
- Web forms
- Documents
- LLMs
Typical integrations
Email inboxes
Shared mailboxes where documents and requests arrive.
Document storage
Folders or drives holding PDFs and scans.
CRM
Leads, contacts, deals and activities.
ERP and accounting
Invoices, purchase orders, bills and stock.
Forms
Web and internal forms.
Team chat
Review queues and alerts.
Questions about AI Workflow Automation
Still unsure? Email info@insyrge.com
What kinds of documents can AI extract data from?
Emails, PDFs, scanned documents, images and form submissions, such as invoices, purchase orders, applications and contracts.
What if the AI is not sure about a value?
Low-confidence values are flagged and sent to a person for review instead of being written straight into your system.
Is this different from traditional rule-based automation?
Yes. Rule-based automation needs fixed layouts and keywords. AI extraction handles varied layouts and wording, and we still apply rule-based validation before data is saved.
Which systems can the data go into?
Any CRM, ERP or accounting system with an API, and databases or spreadsheets where needed.
How do we know what the automation did?
Every run is logged with the source document, extracted values, checks and the records it changed.
Do we own the automation?
Yes. Code, prompts, configuration and documentation are handed over.
How do we start?
Pick one document-heavy process. On a free 45-minute call we map it and then send a written scope.
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