AI Agent Development

AI Agent Development for Enterprise Workflows

We build autonomous AI agents that plan, execute, and optimize business processes across your existing systems. Production-grade agents in 2-4 weeks - not a 6-month science project.

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Production-Grade AgentsHuman-in-the-LoopFull Observability2-4 Week Delivery

Beyond chatbots: AI agents that actually do the work

AI agents plan multi-step tasks, use tools, make decisions, and adapt to exceptions - autonomously. We build single-agent workflows and multi-agent systems with human-in-the-loop controls, full observability, and systematic evaluation. Deployed across FlowFin, Janus, and Veritas - the same engineering patterns power what we build for clients.

Planning and Reasoning

Agents that break complex tasks into steps, reason about the best approach, and adapt when things do not go as expected.

Tool Integration

Agents that call APIs, query databases, search documents, send emails, and interact with your existing business systems.

Human-in-the-Loop

Configurable escalation for high-stakes decisions. Agents propose actions, humans approve. Full audit trail on every operation.

Production Reliability

Error handling, retry logic, fallback strategies, monitoring, and alerting. Not a demo - a system your business depends on.

Ready to discuss your project? Book a call

AI agent capabilities we build for enterprises

Specific, concrete deliverables - not vague promises. Here is what you get.

Single-Agent Workflows

One focused agent automating one process end-to-end. Document processing, data entry, customer triage, report generation.

Multi-Agent Systems

Coordinated teams of specialized agents handling complex processes. Each agent owns a subtask, orchestrator manages the flow.

Agent and RAG Integration

Agents backed by knowledge retrieval for accurate, grounded actions. Every agent decision is traceable to source data.

Human-in-the-Loop Design

Configurable approval workflows for write operations, financial transactions, and high-stakes decisions. Agents propose, humans confirm.

Agent Monitoring and Observability

Full visibility into agent decisions, tool calls, reasoning traces, and performance metrics. Know exactly what your agents are doing and why.

Agent Evaluation and Testing

Systematic testing frameworks with scenario coverage, edge case handling, and regression testing to ensure reliability before production.

The numbers that matter

30+

AI tools deployed across FlowFin agent alone

60+

Users interacting with our AI agents daily

2-4 weeks

From kickoff to production agent

3

Production AI products with agent capabilities

Real deployments, real results

Staffing and Recruitment

India's largest staffing company

AI agents screening 1000+ resumes daily with 60+ recruiters in production

Finance Automation

AI-powered FinanceOS (FlowFin)

30+ AI tools including invoice extraction, matching, report generation, and data querying agents

Content and Marketing

Knowledge-grounded content platform (Veritas)

AI agents generating 12+ content types with mandatory citation from knowledge graphs

The Optivus Method

Every engagement follows four phases. You always know what is being delivered and what comes next.

01

Scope

Map the workflow the agent will automate. Define the tools it needs, the decisions it makes, and the escalation points where humans stay in the loop.

02

Build

Iterative development with weekly demos. Start with the core workflow, add tool integrations, test edge cases, and refine agent behavior based on real scenarios.

03

Ship

Deploy with full monitoring and observability. Agent actions are logged, performance is tracked, and alerts fire on anomalies. Your team gets trained on agent management.

04

Scale

Analyze agent performance on real tasks. Optimize tool usage, expand to adjacent workflows, and add new capabilities based on usage patterns.

Learn more about The Optivus Method

Products we have built with this technology

We do not just consult - we build production AI products. The same engineering powers what we deliver for clients.

Industries we serve

Our AI expertise transfers across industries. The underlying technology applies regardless of domain.

Ready to discuss your project?

Book a 30-minute call. Tell us about your workflow and we will scope the right approach together.

Common questions about ai agent development

An AI agent is software that can plan tasks, use tools, make decisions, and take actions autonomously. Unlike chatbots that just answer questions, agents actually do work - they process documents, update databases, send emails, generate reports, and coordinate with other systems. They combine LLM reasoning with tool integration and workflow orchestration.
RPA follows rigid, pre-programmed scripts - if anything changes, the bot breaks. AI agents reason about tasks, adapt to exceptions, and handle unstructured data. RPA clicks buttons on screens. AI agents understand documents, make decisions, and call APIs. They complement each other: RPA for simple, predictable tasks; agents for complex, variable workflows.
A single-agent workflow targeting one process typically takes 2-4 weeks from kickoff to production. Multi-agent systems with complex integrations take 6-12 weeks. We always start with a focused pilot and expand from there.
Agents can process invoices and match them to purchase orders, screen resumes and rank candidates, generate reports from multiple data sources, handle customer support triage, reconcile financial data, monitor systems and alert on anomalies, manage procurement workflows, and much more. If a task involves reading data, making decisions, and taking actions - an agent can probably do it.
Yes, when built correctly. We implement human-in-the-loop controls for high-stakes decisions (financial transactions, data modifications, external communications). Every agent action is logged with full reasoning traces. We build escalation paths, error handling, and fallback strategies. Agents propose actions and wait for approval when the stakes are high.
Cost depends on whether you need a single-agent workflow or a multi-agent system, plus integration complexity. We scope every project upfront with a fixed price - no hourly billing. We also help optimize ongoing inference costs to keep operational expenses predictable. Book a call to discuss your specific requirements.
We build with production-grade frameworks: Anthropic Claude and OpenAI for reasoning, custom orchestration layers for workflow management, and standard enterprise integrations (REST APIs, databases, message queues). We deploy on your cloud (AWS, GCP, Azure) and integrate with your existing systems.
Yes. Agents interact with your systems through APIs, database connections, and standard integrations. We have built agent integrations with SAP, Tally, Zoho, Salesforce, Slack, email systems, and custom internal tools. If your system has an API or database, an agent can work with it.

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Ready to build something that works?

Book a 30-minute discovery call. Bring your messiest workflow and we will show you exactly how we would approach it.

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