Accelerate RFP, RFQ, and proposal responses with intelligent document understanding and reusable knowledge.
Proposal operations break at scale. Agentic AI is required to convert static knowledge bases into instant, accurate responses without burning out subject matter experts.
Trusted answers are scattered across past proposals, Slack threads, Drive folders, and wikis. Retrieving the "latest and greatest" answer involves manual hunting and verifying.
Product and Engineering experts answer the same technical security or functional questions repeatedly. This redundant workload distracts high-value resources from roadmap execution.
Manual copy-pasting and formatting take up 70% of the proposal timeline. This leaves little time for tailoring the strategy, resulting in rushed submissions and missed deadlines.
Without a centralized, active guardrail, sales reps use outdated pricing or deprecated feature descriptions. This introduces compliance risks and contractual liabilities.
Redefining proposal management with Agentic AI – where speed meets accuracy, context, and governance.
Reimagine response management with AI agents that work autonomously to ingest, shred, and analyze complex RFP documents across Excel, Word, and portals. By understanding semantic intent rather than just keywords, the system auto-populates responses with high-confidence answers drawn from your validated knowledge library.
With built-in citation linking, freshness scoring, and gap analysis, achieve enterprise-ready accuracy and rapid submission cycles. Gain real-time visibility into win/loss drivers, content usage, and SME bottlenecks. Beyond drafting, the system delivers intelligence by flagging non-standard requirements, detecting compliance risks in questions, and surfacing actionable insights that strengthen competitive positioning.
Generate 80% complete drafts for RFPs, RFIs, and DDQs instantly. AI-driven accuracy that scales seamlessly with your deal volume.
reduction in response turnaround time
reduction in SME involvement time
increase in proposal capacity
accuracy in auto-filled answers
Watch how RFP documents are parsed, responses sourced, and submissions built — every step traceable back to approved internal content.
Automatically curate and update the knowledge base by learning from every edited and approved proposal.
Auto-assign only the net-new or highly complex questions to the correct SMEs with context.
Handle end-of-quarter RFP spikes without increasing headcount or sacrificing response quality.
Create a shared source of truth where sales messaging stays in lockstep with product realities and security compliance.




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