Hi Striven Team and Community,
I’d like to propose that Striven prioritize the development and integration of an AI strategy into the platform — especially for automating high-volume, repetitive tasks that consume valuable staff time.
For example, a simple yet impactful feature would be the ability to scrape an email inbox for vendor bills, extract the data, and automatically enter it into the system. This type of AI-driven automation is already available in other platforms and could save AP teams significant time and reduce errors.
Beyond email scraping, here are several areas that come to mind where AI could be transformational within Striven:
- Auto-categorizing expenses and GL coding based on historical patterns
- Detecting duplicate or unusual transactions for fraud prevention
- Smart document matching, such as auto-matching bills to POs and receipts
- Predictive cash flow analysis using historical data and trends
- Natural language queries (e.g., “Show me all unpaid vendor bills over $5,000 due next week”)
- Invoice due date reminders and escalation routing powered by AI-based prioritization
- Smart task routing or approval suggestions based on workflow history
- Easy workflow creation based on repeated task history
- Custom reporting without the complexities of hunting and pecking through the various datasets.
AI doesn’t need to be overly complex to be effective. Even lightweight machine learning models or rule-based automation with intelligent defaults can create real operational efficiency for small businesses using Striven.
The platform now is very traditional. A human must conduct an operation in order for something else to happen - it’s very linear. I’m personally very comfortable with Striven, but it needs to get better in areas that directly impact operational efficiency and thereby cost savings.
Would love to hear what others think — and if the Striven team has any roadmap plans in this direction.
Thanks,
