Track brand perception, community discussions, and emerging sentiment with verifiable, cross-channel intelligence.
Social listening breaks at scale. Agentic AI is required to separate genuine business signals from the noise of public conversation without manual scrolling.
Prospects ask for recommendations or complain about competitors on LinkedIn and X (Twitter). These high-intent leads vanish before sales teams even know they exist.
Frustrated customers vent on public forums before contacting support. Ignoring these "silent" complaints allows reputation damage to spread unchecked.
Traditional listening tools flag every brand mention, regardless of context. Teams drown in irrelevant notifications (marketing spam, job posts) and miss the critical few.
Social data sits in marketing tools, isolated from the CRM. Sales and Support lack the context to engage, leading to generic outreach or duplicated efforts.
Redefining social engagement with Agentic AI – where listening meets automation, relevance, and revenue.
Reimagine social monitoring with AI agents that work autonomously to scan millions of public posts across LinkedIn, X, Reddit, and industry forums. The system intelligently filters out marketing noise to identify actionable signals: a prospect seeking alternatives, a user reporting a bug, or an influencer discussing your domain.
With built-in intent classification, competitor mapping, and sentiment analysis, achieve precise signal detection and rapid engagement. Gain real-time visibility into market perception and competitor weaknesses. Beyond listening, the system delivers intelligence by enriching social profiles with business data and routing valid signals directly to the right Sales or Support rep.
Extract leads, complaints, and competitor insights without setting up complex boolean search strings. AI-driven accuracy that scales seamlessly with global conversation volumes.
increase in social-sourced pipeline
reduction in response time to public complaints
reduction in irrelevant noise/spam
coverage of competitor discussions
Watch how mentions are captured across social and community platforms, classified by theme, and linked to original posts — giving teams a transparent view of audience sentiment and emerging issues.
Automatically flag posts where prospects are actively evaluating vendors and route them to account executives.
Auto-create support tickets from social complaints, ensuring public grievances are handled within SLAs.
Monitor brand sentiment globally across time zones without staffing 24/7 social media teams.
Create a shared source of truth where marketing buzz translates directly into trackable sales activities.




Find clarity on our solutions, capabilities, and how we can support your business.
Invoice processing or accounts payable processing refers to the processing of a supplier invoice, from its receipt to, when it has been posted in the ERP system, to the payment. This is when the business owes the supplier. If the business has provided a service or product, then the bill (or invoice) has been to the customer for payment; and it becomes an Account Receivable entry.
Accounts payable processes include collecting, processing, and paying invoices from suppliers who have provided products or services to the client. It is a tedious, time-consuming, error-prone job for finance professionals to go through invoices manually to understand data and forward them to related systems to complete their records. Spotting anomalies is never an easy task when the number of invoices per day is very high. Doing this repetitive data entry process is undoubtedly not for the trained finance professionals. Automating this process is challenging since incoming invoices come in different layouts, varying formats, unstructured details. Integrating with existing systems to create records is another mundane, tedious job.
Leveraging the combined power of Natural Language Processing (NLP) and deep learning, Artificial Intelligence (AI) can understand each term in an invoice, and extract and analyse the data with minimal errors. AI-powered invoice processing using a platform like Botminds AI helps businesses reduce invoice processing costs by over 60%, eliminate the mundane and tedious task of going through piles of invoices manually and reduce the hours of time the account team or finance professionals spend on invoice processing.
Botminds AI is a powerful platform that learns quickly and adjusts its predictions of the invoices, based on pre-training from millions of invoices.
Most tools in the market are OCR-based and rules-based, and cannot handle the massive variations in formats, templates, structure of invoices, at scale. Invoices, in general, have the following challenges that need to be handled, that rules-based (non-AI) solutions cannot handle - Infinite variations at scale, Line items Extraction, Domain specific Invoices, Multiple/Large invoices, Skewed & Poor-quality scans, Business rules & Reconciliation, Stamps & Handwritten Info.
Most tools that many enterprises use at the point of document automation are not intelligent enough due to the wrong choice of technology & approach.
Botminds AI platform has AI-first approach that overcomes these challenges and ensures over 85% accuracy of extracted invoice data; thus liberating Accounts professionals from the dull, tedious task of manual extraction.
The Accounts team or the Finance team across industries like manufacturing, e-commerce, airline, healthcare, finance, media, marketing and more can use Botminds Automated Invoice processing or Automated Account Payable / Automated Accounts Receivable solution to speed up the processing of invoices, with minimal errors and high speed.
Robotic Process Automation (RPA) and AI are different but are sometimes used interchangeably. The key difference between RPA and AI is that AI is self-learning. AI continuously learns to make sense of data and patterns to make predictions. In contrast, RPA systems require programming to achieve any outcome. RPA bots cannot handle variations automated ingestion from multiple sources, nor handle variations in invoice formats nor identify document sets (multiple invoice-related documents that belong to one set).
Yes. You can customize the platform to your domain-specific and business-specific invoice terminology and flow; and configure it to integrate with your internal systems for seamless automation. The solution performs with high accuracy and speed, even when the number of invoices is high.
Book a 30-minute consultation to find the best starting point