Connect contractual commitments with live support operations to ensure every customer interaction aligns with service obligations.
Support operations break when contractual context is missing. Agentic AI is required to bridge the gap between signed agreements and daily service delivery without slowing down resolution.
Key service terms exist in PDF contracts and SOWs locked in legal repositories. Support agents lack immediate visibility into what was actually sold versus what is being requested.
Agents inadvertently provide premium support, out-of-scope configurations, or free extensions to non-eligible customers. This "goodwill" erodes margins and devalues paid tiers.
Verifying custom SLAs or penalty clauses requires manual emails to Sales or Legal. These internal loops delay critical responses and frustrate high-value customers.
Ambiguity regarding renewal dates, credit terms, or coverage limits leads to friction. Lacking instant proof of the agreed terms turns simple tickets into heated escalations.
Redefining service delivery with Agentic AI – where contractual truth meets automation, clarity, and revenue protection.
Reimagine support agility with AI agents that work autonomously to ingest and analyze customer contracts, MSAs, and addendums. The system intelligently maps unstructured legal terms—such as response time guarantees, penalty clauses, and included modules—directly to the customer profile in your ticketing system.
With built-in entitlement validation, scope checking, and expiration alerts, achieve accurate service delivery and zero leakage. Gain real-time visibility into support utilization against contract value. Beyond retrieval, the system delivers intelligence by alerting agents when a request falls "out of scope" and suggesting upsell opportunities based on the contract gap.
Extract custom SLAs, support tiers, and billing obligations without manual contract reading. AI-driven accuracy that scales seamlessly with your customer base.
elimination of accidental over-servicing
reduction in billing/contract disputes
faster validation of support entitlements
reliance on Legal for routine queries
Watch how contractual clauses automatically inform case prioritization, response timelines, and escalation paths — linking every customer interaction back to its originating agreement.
Automatically flag whether a ticket is covered under the customer’s current MSA or SOW before work begins.
Auto-retrieve the exact clause and page number regarding penalties or credits to resolve customer claims with evidence.
Manage complex, custom-negotiated support packages across thousands of accounts without agent confusion.
Create a shared source of truth where support teams operate based on the signed reality, not just the CRM summary.




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.
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