Unify field service data, automate case insights, and track service performance with complete operational visibility.
Field operations break at scale. Agentic AI is required to bridge the gap between central dispatch and remote technicians without sacrificing service quality or speed.
Scheduling relies on static rules that ignore traffic, technician skill gaps, and parts availability. This results in travel inefficiencies and wrong-tech-for-the-job scenarios.
Technicians arrive on-site without complete asset history or context. Lacking immediate access to manuals and past fixes lowers First-Time Fix Rates (FTFR).
Field notes, parts usage, and compliance forms are filled out manually after the job. This administrative lag delays billing and obscures inventory visibility.
Service is triggered only after failure. The inability to predict asset downtime based on telemetry and historical data leads to emergency fire-drills.
Redefining field service with Agentic AI – where logistics meets automation, context, and resolution.
Reimagine service delivery with AI agents that work autonomously to analyze work orders, technician profiles, and real-time location data. The system intelligently orchestrates schedules to minimize travel time while ensuring the right expertise and parts arrive at the customer site.
With built-in inventory validation, safety compliance checks, and SLA monitoring, achieve operational rigor and rapid response times. Gain real-time visibility into workforce utilization and asset health. Beyond scheduling, the system delivers intelligence by analyzing field notes to detect recurring asset defects and surfacing "best fix" recommendations to technicians via mobile.
Extract diagnostic data, parts consumption, and service outcomes from unstructured field notes without manual data entry. AI-driven accuracy that scales seamlessly with your fleet size.
increase in First-Time Fix Rate
reduction in travel costs
reduction in administrative time per job
visibility into asset service history
Explore how work orders, service logs, and IoT data converge — enabling teams to trace every service event, monitor field performance, and prevent recurring failures.
Automatically verify that safety checklists and risk assessments are completed before work begins.
Auto-reroute technicians based on emergency escalations or traffic delays without disrupting the entire schedule.
Onboard contractors or expand to new territories without rebuilding dispatch logic or reporting structures.
Create a shared source of truth where field activities instantly trigger accurate invoices and inventory updates.





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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