The business and financial chain is severed
Business and financial flows rely on multiple heterogeneous systems, making processes prone to disconnection.
Targeting complex scenarios such as procurement, contracts, cost control, budgeting, equipment, administrative services, and business analysis, Deneb helps pharmaceutical and health companies build a unified platform that balances compliance, efficiency, and intelligence.
Pharmaceutical and health companies have long business chains, high compliance requirements, complex coordination between operations and finance, and a large number of long-tail application needs. If procurement, contracts, budgeting, reimbursement, equipment, and analysis scenarios are handled separately by multiple heterogeneous systems, issues such as disconnect between business and finance, heavy manual audits, and difficulty in closing the data loop will occur.
Business and financial flows rely on multiple heterogeneous systems, making processes prone to disconnection.
Scenarios such as expense reimbursement, budget control, and procurement payments are handled by a high proportion of manual labor.
The system needs to respond quickly and be compatible with multi-cloud, multi-terminal, and collaborative platforms.
Procurement, contracts, expenses, equipment, and budgets all require systems, authorities, and audit support.
Expenses, budgets, procurement, and contract data are scattered, and management analysis relies on manual scraping.
Empowering AI to understand business, call systems, and drive action
Integrate procurement, contract, acceptance, payment, budgeting, and financial verification into a single chain.
Identify high-frequency reimbursement and payment risks through OCR, rule libraries, and models.
Unified management of contracts, seals, performance, acceptance, equipment ledgers, usage, and maintenance.
Accumulate expenses, budgets, procurement, and contract data into the management cockpit.
Ensure long-term stable operation of the platform through permissions, processes, systems, and audit traceability.
Use unified Ontology, system connectivity, multi-agent capabilities, and low-code capabilities, AI can enter the pharmaceutical and health business field from the Q&A entry point.
For procurement, finance, administration, equipment management, business departments, and management, it offers AI Kanban, AI data query, digital employee collaboration, as well as PC, mobile, and IM integration.
Centered on high-value pharmaceutical and health scenarios, processes and data, knowledge, and collaboration are consolidated into configurable and reusable business applications.
Through objects, attributes, relationships, actions, functions, process rules, security, governance, and publishing, AI understands the true semantics of industry business.
Supports agent decision-making meetings, digital employee management, identity and memory, tool integration, permission governance, model usage, and low-code generation.
Connecting RAG's unstructured knowledge base with existing systems such as procurement, contracts, budgeting, expenses, equipment, finance, OCR, and collaborative platforms, it creates a closed loop of business data, institutional knowledge, and process actions.
Accumulate Ontology industry template libraries, Skill marketplaces, workflow templates, knowledge packs, API action libraries, Agent templates, application templates, and governance strategy libraries.
From business understanding to closed-loop action

Modeling procurement requirements, suppliers, contracts, budgets, expenses, equipment, departments, and operational indicators in a unified manner.

Integrate OCR, rule engine, intelligent auditing, and automated evidence creation capabilities to reduce the burden of manual audits.

Integrate procurement, contracts, budgeting, expenses, equipment, administrative services, and financial systems.

Build a cockpit for expenses, budgeting, procurement, and contracts through BI and AI analytics capabilities.
A unified method facilitates investment evaluation, asset accumulation, and reuse across more industry scenarios.
Prioritize high-value scenarios such as procurement collaboration, travel reimbursement, contract equipment, and business analysis.
Unify procurement, contracts, budgets, expenses, equipment, departments, personnel, and target targets.
Connects to finance, procurement, contracts, budgeting, payment, OCR, and collaboration platforms.
Setup approval, budget verification, intelligent review, automatic certificate creation, and status recall.
Introducing intelligent Q&A, material inspection, anomaly detection, business analysis, and compliance reminders.
Optimize rules based on business usage data and replicate templates to more pharmaceutical and health scenarios.
Focusing on the core business chain of the current industry, we organize analysis, judgment, and execution into a reusable closed loop.
Procurement requirements, supplier selection, contract approval, acceptance, payment, and budget occupation circulate across systems, making the process easily disconnected.
Through unified process orchestration and system integration, procurement, contracts, payments, and budget control are linked into a closed-loop chain.
Requirement Proposal -> Supplier Selection -> Contract Approval -> Acceptance -> Payment Application -> Payment Approval -> Financial Write-off
High-frequency reimbursement scenarios such as travel expenses, hospitality expenses, and miscellaneous expenses require high manual processing, and rule verification and receipt verification are time-consuming.
Integrating business travel, payment, OCR, rule engine, automated certificate creation, and intelligent review to form an integrated fee control process.
Travel booking - > OCR collection - > Automatic reimbursement form generation - > Automatic review - > Manual review - > Automatic certificate preparation - > Archiving and analysis
Procurement contracts, cooperation agreements, and experimental/production equipment management chains are lengthy, making it difficult to unify contract fulfillment and equipment records.
Through contract models, electronic signatures, process engines, and equipment ledger capabilities, it centrally undertakes signing, fulfillment, acceptance, and maintenance.
Contract drafting - > Seal approval - > Performance tracking - > Equipment acceptance - > Usage and maintenance - > Scrapping and archiving
Business, expenses, budget, and operational indicators are distributed across multiple systems, with typical analysis scenarios relying on manual capture.
Through data integration, BI, and AI analytics capabilities, data from multiple systems is centralized into a unified cockpit.
Data Capture - > Intelligent Processing - > Visual Display - > Business Analysis - > Management Decision-making
Administrative services, budget applications, expense occupation, and payment verification are running in parallel, making system implementation difficult to unify.
Administrative service requests, budget rules, fee standards, and approval processes are integrated into a unified platform.
Service Application - > Budget Verification - > Approval Circulation - > Execution Feedback - > Expense Reimbursement - > Data Analysis
From local efficiency improvements to measurable intelligent operations
Achieve integrated business-finance and multi-system data closed-loop management.
Reduce the costs of manual data entry, review, and statistics through automation and AI.
Establishing a unified digital foundation for pharmaceutical and health companies that balances compliance, safety, and efficiency.
Let procurement, budgeting, expenses, contracts, and equipment data support management decisions.
Replicate procurement, expense control, contracts, equipment, and analysis templates to more long-tail application scenarios.
Demand, contract, acceptance, payment, and budget occupation form a unified chain.
OCR, rule libraries, and models help reduce the pressure of manual review.
Signing, performance, acceptance, usage, and maintenance are all integrated online.
Expenses, budgets, procurement, and contract data are consolidated into the management cockpit.
Starting from a high-value scenario, accumulate replicable enterprise AI assets and gradually expand to more business units and operational scenarios.