Business Process Automation
Removing the handoffs, waiting and rekeying between systems.
AI & Automation
The 80% that rules could never reach
Traditional automation needs a predictable input. Most business work is not predictable — it arrives as an email, a PDF, a photo, a phone note. AI closes that gap.
- Engagement
- Assessment then process-by-process delivery
- Typical timeline
- 6–12 weeks per process
- Delivered across
- All 50 US states
Overview
For twenty years automation stopped at the edge of structured data. If a process depended on reading a document, interpreting a request or judging a borderline case, a person had to do it. That constraint shaped how companies staffed their operations, and it is the constraint that has just lifted.
AI automation handles the unstructured middle: reading invoices in any format, classifying inbound requests, extracting terms from contracts, summarizing calls into CRM notes, checking submissions against policy. Combined with conventional automation for the deterministic steps, it removes whole categories of manual work rather than shaving minutes off individual tasks.
We build these as hybrid systems by design. Deterministic rules where rules are reliable, AI where judgment is needed, and human review positioned exactly where errors would be costly. That is how you get automation you can trust with real volume.
- Manual touch removed on document-heavy processes
- 70–90%Manual touch removed on document-heavy processes
- Turnaround where it was previously days
- MinutesTurnaround where it was previously days
- Target exception rate after tuning
- <1%Target exception rate after tuning
Business benefits
What ai automation changes for you
The reasons this work earns its budget, stated as outcomes rather than features.
Any document format
Invoices, purchase orders, claims, applications and contracts read accurately whether they arrive as clean PDFs or photos of a fax.
Intelligent routing
Inbound email, forms and tickets classified by intent, urgency and account, then routed to the right queue with a summary attached.
Validation before action
Extracted data checked against your business rules and systems of record, so errors surface as exceptions rather than propagating.
Exception handling designed in
Low-confidence cases route to a person with the source document and the model's uncertainty made visible, not hidden.
Works with your existing stack
Connects to your ERP, CRM, accounting and document systems through APIs, so nothing needs replacing to start.
Improves with correction
Human corrections feed back into the system, so accuracy climbs over the first months instead of plateauing at launch.
Problems solved
If any of this sounds familiar
These are the situations clients describe in the first conversation, and what we do about each.
“Accounts payable manually keys hundreds of invoices a week.”
Automated extraction with PO matching and rules-based validation, routing only genuine exceptions to a person for review.
“Inbound email is triaged by a person reading every message.”
Classification by intent and priority with automatic routing, drafted responses for common cases and escalation for anything unusual.
“Contract review is a bottleneck before every deal.”
Automated extraction of key terms, dates and obligations with flags against your standard positions, so legal reviews deviations rather than whole documents.
“Our RPA bots break whenever a vendor changes a form.”
AI-based extraction is layout-independent, so a redesigned invoice does not break the pipeline the way template-matching does.
Our process
How we deliver it
Each stage has a defined output, so you always know what you are getting and when.
- 01
Process selection
Rank candidate processes by volume, manual cost, error rate and automation feasibility to find the strongest starting point.
- 02
Document and rule analysis
Sample real inputs across the full range of formats and edge cases, and document the business rules that govern handling.
- 03
Pipeline build
Ingestion, extraction, validation, routing and system integration, with confidence thresholds calibrated to your error tolerance.
- 04
Parallel run
Run alongside the manual process to measure accuracy against human output before anyone depends on it.
- 05
Cut over and expand
Switch over with exception handling in place, then extend to adjacent processes using the same infrastructure.
Technologies used
The tools behind the work
Chosen for maintainability and hiring depth rather than novelty. We will justify any choice on request, and we avoid technology that makes you dependent on us.
- Claude
- OpenAI
- Azure Document Intelligence
- AWS Textract
- Python
- TypeScript
- Temporal
- PostgreSQL
- Zapier
- Make
Industries served
Where this work lands most often
Sector context changes what good looks like. These are the industries where we have delivered this service repeatedly.
Why Mova
What working with us on ai automation is like
The same commitments apply to every engagement, regardless of size or service.
A defined first step
We scope a fixed-price starting point so you can evaluate us on ai automation before committing to a program.
Senior people, named
The team you meet is the team that delivers. You will know exactly who is accountable.
You own the output
Code, accounts, files and documentation are yours from day one, with no lock-in of any kind.
Measured, then reported
We baseline before starting and report against it honestly — including the months that fall short.
Questions
AI Automation: common questions
The questions we are asked most about ai automation, answered directly.
Typically 95–99% on standard business documents after tuning, with confidence scoring so uncertain fields route to review. The realistic goal is not zero human involvement — it is reducing review to the small share of cases that genuinely need it.
Keep exploring
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Next step
Ready to talk about ai automation?
Thirty minutes with someone who has delivered this work. We will tell you what it would take, roughly what it would cost, and whether Mova is the right fit.
No pitch deck. A 30-minute conversation about what you are trying to achieve.