Tool overload
Teams compare model providers, agent frameworks, cloud platforms, governance tools and integration options all at once.
AI Agent Marketplace
Aarvexa designs and deploys custom AI agents that work inside your existing systems, workflows, approval rules and data environment.
- 0+Years of engineering
- 0+Projects delivered
- 0%Successful go-live
- Finance Query AgentAsk finance questions, get cited answersLive
- Customer Support AgentResolves routine tickets, escalates smartlyLive
- AP Invoice AgentExtract, match and route invoicesLive
- Resume Screening AgentRank profiles against role needsLive
- Legal Review AgentContract review and clause flagsLive
- IT Support AgentResets, access and ticket updatesLive
- Variance Analysis AgentExplain budget vs actualLive
- Onboarding AgentGuide new hires step by stepLive
- Sales AI AgentQualify leads, update CRMLive
- Audit Evidence AgentCollect and map audit evidenceLive
- Healthcare AgentTriage and documentation supportLive
- RFP Evaluation AgentScore vendor responsesLive
Deploying to your environment
Finance Query Agent
GovernedIntegratedTested
The Problem
AI agent projects fail when strategy, ownership, integration, governance and ROI expectations are unclear before development begins.
Demo-only pilots
Many AI pilots work in a demo but fail in live operations. They miss exceptions, approvals, permissions, compliance needs and daily process steps.
Core system gaps
An AI agent has limited value if it cannot work with existing systems. CRM, ERP, ticketing, finance, HR and data platforms carry rules and dependencies.
Scaling uncertainty
A proof of concept without success metrics is hard to defend. Leadership needs to know what improves, how it is measured and what scale costs.
Agent Library
AI agents designed around your workflows, systems, data and controls.
22 agents
Educational AI Agent
Supports student services, academic guidance, enrollment workflows, grading assistance and routine administration.
Finance & Banking AI Agent
Helps finance teams answer questions, review anomalies, monitor transactions, support reporting and cut manual work.
Hospitality AI Agent
Assists with reservations, guest requests, itinerary changes, service coordination and support.
Insurance AI Agent
Captures First Notice of Loss details, checks policy information, requests missing documents and supports claims routing.
Healthcare AI Agent
Supports triage, clinical documentation, care coordination, patient communication and administrative tasks.
IT Support AI Agent
Handles help desk requests, password resets, access requests, troubleshooting steps, ticket updates and escalation notes.
Marketing AI Agent
Supports campaign planning, audience segmentation, content drafts, reporting and analysis.
Customer Support AI Agent
Answers common questions, resolves routine tickets and escalates complex cases with conversation history and account context.
Legal AI Agent
Assists with contract review, legal research, compliance tracking, document comparison and drafting.
Expense Compliance Agent
Checks expense reports against company policy, flags missing receipts or limit exceptions and routes approvals.
RFP Evaluation Agent
Reviews RFPs and vendor proposals, compares responses against scoring criteria and prepares evaluation summaries.
Resume Screening & Shortlisting Agent
Reviews candidate profiles against role requirements, ranks applicants by fit and prepares shortlists.
Accounts Payable Invoice Processing Agent
Extracts invoice data, checks it against purchase orders and receipts, identifies exceptions and routes approvals.
Finance Variance Analysis Agent
Tracks budget-to-actual differences, connects variances to business drivers and prepares reporting support.
Finance Query Agent
Lets authorized users ask finance questions and receive answers from approved systems.
Employee Onboarding Agent
Guides new hires through onboarding steps, system access, training schedules, policy questions and HR workflows.
Sales AI Agent
Supports lead qualification, CRM updates, account research, follow-up drafts and deal intelligence.
Collections Coordination Agent
Tracks overdue accounts, sends payment reminders, logs responses, flags escalations and updates collection status.
Supplier Risk Assessment Agent
Evaluates supplier financials, compliance records and performance history to score risk and surface findings.
Incident Root Cause Analysis Agent
Gathers incident logs, correlates system events, structures root cause timelines and tracks corrective action items to closure.
From Pilot to Production
Why build from scratch? Start from a proven agent foundation.
Your AI agent should be built around a business case, not a generic template. Aarvexa defines the workflow, model approach, system connections and production controls with your team.
- Governed Workflows: Agents follow approved permissions, review points and business rules.
- System Integration: Agents connect with CRM, ERP, HR, finance, support and data platforms.
- Production Readiness: Testing, monitoring, documentation and handover are included before scale.
Low Code
Build your agent in three steps
Select LLM Model
Your chosen LLMConnect Knowledge Base
Docs · Drives · CRMSet Guardrails
Strict · EnterpriseAgent ready to test
Implementation
Our delivery model is structured to reduce risk at each stage. You get clear decision points, defined scope, measurable outcomes and visibility into what is being built before the project expands.
Phase 1: Consultation and strategy
We identify the business goal, users, systems, workflow steps, access rules, data sources and success metrics. This creates a practical foundation before any building work begins.
Phase 2: Design and model customization
We design the agent workflow, choose the right model setup, define tools and permissions, configure prompts and plan how the agent will interact with systems.
Phase 3: System integration, testing and launch
We connect the agent to your CRM, ERP, data warehouse, help desk, HR, finance or operational platforms. The agent is tested against real scenarios before production rollout.
Phase 4: Optimization and support
We monitor accuracy, adoption, exceptions, cost and performance. As business rules change, the agent can be adjusted to stay aligned with your processes.
AI models we use for scaling your business
OpenAI GPT
Anthropic Claude
Google Gemini
Meta Llama
Mistral
DeepSeek
Agentic Large Language Models (LLMs)
Foundation models and LLM providers that power agent reasoning, language understanding, generation and multimodal decision-making. These models act as the intelligence layer behind autonomous agents, copilots and enterprise AI applications.
Compare
FactorBuild In-House / Standard PlatformsAarvexa AI Agent Partnership
Best forMature AI teams with long timelines and clear use cases.Enterprises needing faster delivery, governance and integration support.
Time to productionOften longer, depending on complexity and team capacity.Faster, depending on scope, with defined delivery checkpoints.
Risk levelHigher when ownership, ROI or support is unclear.Lower through defined outcomes and delivery checkpoints.
Integration effortYour team builds and maintains every connection.Connections to CRM, ERP, HR and data platforms are part of delivery.
OwnershipPlatform terms may limit customisation and portability.Agents, workflows and data stay under your control.
Let's build
We build custom agents around your workflows, data, systems, approval rules and governance requirements.
FAQ
Straight answers on AI agent capabilities, integration, security, implementation, pricing and who we are.
It is Aarvexa's library of custom AI agents for common business functions, from finance and HR to support, IT, legal and operations. Each agent is tailored to your systems, data and approval rules rather than deployed as a generic template.
It handles repeatable multi-step work: answering questions from approved systems, reviewing documents, routing approvals, updating records, drafting outputs and escalating exceptions to people.
We recommend starting with a high-volume, rules-driven process with clear success metrics, such as invoice processing, support triage or onboarding. A short consultation helps pick the best first agent.
Yes. The library shows common patterns. We design custom agents around any workflow, data source and governance requirement you have.
No. Agents work inside your existing CRM, ERP, ticketing, finance, HR and data platforms.