Monitor service-level commitments across customers, contracts, and teams — with full traceability to source data and performance evidence.
SLA management breaks at scale. Agentic AI is required to transition from reactive breach reporting to proactive deadline management without manual policing.
SLAs are often tracked in static CRM fields that don't account for holidays or business hours. Breaches are detected only after they happen, triggering penalties and dissatisfaction.
Managing different response times for Premium, Standard, and Custom contracts manually is impossible. Agents struggle to prioritize accurately when every ticket looks urgent.
Without intelligent sorting, agents often "cherry-pick" easy tickets while complex, high-stakes issues silently drift toward violation.
When customers claim a missed SLA, teams lack a granular, audit-ready timeline to prove compliance. This lack of evidence leads to unnecessary service credit payouts.
Redefining service delivery with Agentic AI – where commitment meets automation, foresight, and trust.
Reimagine service reliability with AI agents that work autonomously to monitor ticket streams against specific contractual terms. The system intelligently calculates "true time remaining" by factoring in customer-specific business hours, holiday calendars, and support tiers, dynamically re-ranking agent queues in real-time.
With built-in predictive alerts, pause-clock validation, and escalation triggers, achieve zero-breach consistency and transparent reporting. Gain real-time visibility into at-risk tickets and team capacity. Beyond monitoring, the system delivers intelligence by analyzing the root causes of past breaches—such as specific topics or times of day—and surfacing staffing adjustments to prevent recurrence.
Deploy complex SLA logic, escalation paths, and warning triggers without custom coding. AI-driven accuracy that scales seamlessly with your customer tiers.
reduction in SLA breaches
elimination of unjustified service credits
increase in Customer Satisfaction (CSAT)
faster resolution for high-priority tiers
Watch how SLA terms are extracted from contracts, tracked against real-time performance data, and visualized through dashboards — ensuring every commitment is met and every breach documented.
Automatically reshuffle agent queues so the most critical, at-risk tickets are always addressed first.
Receive "Risk Alerts" hours before a breach occurs, allowing managers to swarm issues before they impact the customer.
Introduce new premium support packages with unique SLA timers without confusing the frontline team.
Create a shared view where Account Managers can see real-time health scores and SLA adherence for their key accounts.




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