Solutions

Continuously scan incoming mail, detecting the category you’ve defined—like invoices, support requests, orders, or leads—and route each message to the proper next step. AI Agents extract key fields, logs them in your system, and kicks off actions such as ticket creation, CRM updates, or autoreplies. When something looks urgent or off-pattern, AI Agents escalate to a human with context attached. Your team stops triaging manually and lets your AI Agent keep the flow moving.

Streamline Order Management by turning unstructured inputs into structured action. Manual order processing from PDFs, scanned documents, or emails is slow, error-prone, and hard to scale. AI-powered automation ingests orders in any format—structured or not—extracts critical information, and triggers downstream actions like fulfillment, billing, or inventory updates. Businesses reduce turnaround time, eliminate manual keying, and ensure orders flow seamlessly through their systems.

Recover lost revenue and reduce invoice audit time, ensuring every charge aligns with agreed terms. Invoices often contain discrepancies, whether due to human error, misapplied rates, or contractual non-compliance. Manually reviewing each invoice is slow, expensive, and prone to oversight. AI-driven automation cross-checks invoices against contracts, purchase orders, and historical data, instantly flagging inconsistencies and unauthorized charges. Businesses handling high invoice volumes gain tighter financial control, prevent unnecessary spending, and improve vendor accountability—ultimately driving cost savings and operational efficiency.

Reduce lease review costs by up to 75% and shorten lease review time, freeing legal and administrative teams for higher-value tasks. Manually reviewing and extracting information from lease agreements is slow, error-prone, expensive, and resource-intensive. Leveraging Eranova's Lease Abstraction application allows businesses to streamline the process by automatically identifying and structuring critical lease data into a business' format. For businesses managing multiple leases, ensuring contract compliance, tracking key dates, and retrieving important terms can be overwhelming. AI-driven automation enhances efficiency, reduces human error, and provides immediate access to structured lease data, empowering teams to make informed decisions faster.

Close sales faster by cutting contract ratification time by 60%, reducing legal exposure and strengthening compliance oversight. Reviewing contracts manually is slow, labor-intensive, and prone to oversight, increasing the risk of costly errors or missed obligations. AI-powered automation scans agreements, verifies key terms against business standards, and highlights deviations that require attention. Organizations gain deeper visibility into contractual commitments, mitigate compliance risks, and negotiate with confidence—ensuring accuracy and protecting business interests.

Drive internal productivity and reduce time spent searching for information, enabling teams to work more efficiently and make informed decisions faster. Employees often waste valuable hours navigating scattered documentation, outdated resources, or slow internal systems. AI-powered knowledge agents instantly retrieve accurate, relevant information from company data, ensuring employees have the answers they need when they need them. Businesses improve knowledge accessibility, enhance collaboration, and eliminate bottlenecks—driving productivity and operational agility.

Navigate complex sites with AI-driven scrapers. Handle logins and pagination, and adapt when layouts shift—capturing text, tables, prices, and metadata with high accuracy. You define schemas or rules, and the system normalizes every pull into consistent, API-ready outputs. The result: always-fresh data feeds without maintenance headaches or human copypaste.

Continuously scan chosen career pages and job boards on a set schedule, flag anything newly posted, and filter roles by title, location, skills, or keywords you define. AI Agents pull out the details that matter—requirements, responsibilities, salary data, links—and formats them for easy review or direct import. When listings change or close, AI Agents note the update so your pipeline stays accurate. Your recruiters get timely, clean intel without manual refreshing or copy‑paste work.

Streamline shipping operations by automating the extraction of key data from logistics documents—reducing manual entry costs, improving accuracy, and accelerating shipment processing. Manually keying information from bills of lading, packing slips, and customs forms is time-consuming, error-prone, and a major bottleneck in supply chain workflows. AI automates this task by identifying, extracting, and structuring essential fields like shipment IDs, weights, container numbers, and delivery instructions. This enables teams to process documentation faster, minimize delays, and reduce compliance risk—improving operational throughput and enhancing customer satisfaction across the supply chain.

Translate plain-English prompts into optimized SQL queries, execute them against your data warehouse, and deliver clear, actionable results in seconds with Eranova's Text-to-SQL AI Agent. Empower non-technical users to self-serve analytics, reduce reliance on busy data analysts, and eliminate hand-coding errors. Automate query generation to accelerate decision-making, improve data democratization, and ensure consistent, error-free queries across your organization.

Win more sales by cutting RFP response time, enabling your team to submit stronger proposals faster. Manually crafting RFP responses is time-consuming, resource-heavy, and prone to inconsistencies, leading to missed business opportunities. AI-driven automation analyzes RFP requirements, retrieves relevant information, and drafts well-structured responses tailored to business needs. Organizations can handle higher RFP volumes, improve response accuracy, and enhance bid quality—ultimately increasing efficiency and maximizing success rates.

Expedite the review and due diligence process of M&A by automatically extracting key data points from a wide range of documents. AI Agents ingest corporate documents, financial records, tax documents, contracts, agreements, or other due diligence package documents—these documents are intelligently reviewed to extract quantitative and qualitative data points, critical for M&A reviews. Businesses can provide custom schemas to instruct the AI Agent on which fields and features to extract from M&A documents to customize Agent interactions to business needs and eliminate the manual review process.

Save costs on Tier 1 support while resolving customer inquiries faster and improving service quality. Handling Tier 1 support manually is expensive, inefficient, and prone to delays, leading to frustrated customers and overwhelmed teams. AI-powered automation understands queries, retrieves accurate responses, and provides instant resolutions for routine requests. Businesses can scale support operations, reduce agent workload, and deliver faster, more consistent customer service—boosting satisfaction and operational efficiency.

Reduce overhead and costs to fill open roles, accelerate sourcing by up to 80%, and enable recruiters to identify high-potential candidates faster and with greater accuracy. Traditional resume screening is time-consuming and often overlooks strong matches due to volume and bias. AI automates the process by scanning resumes, interpreting role requirements, and ranking the best-fit candidates in real time. This reduces time-to-hire, improves candidate quality, and empowers teams to focus on interviews and strategic decision-making—ultimately increasing recruitment efficiency and improving talent outcomes.