Custom Agent Design & Build
Agents scoped to real jobs: answering data questions, triaging documents, monitoring workflows, drafting reports — designed around your systems and policies.
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AIONDATA designs and builds custom AI agents that query your data, process your documents, and execute your workflows — with the guardrails, audit trails, and access controls enterprises actually require.
We specify what the agent does, what it may touch, and what success looks like — in writing, before any code.
Connect the agent to your data sources and knowledge bases through governed, permission-scoped tools.
Evaluation suites measure accuracy, safety, and cost on real scenarios until the numbers meet the bar you set.
Production deployment with monitoring, audit logs, and review workflows — plus tuning as your data evolves.
An AI agent is software that uses large language models to plan and execute multi-step work: it interprets a goal, chooses tools (queries, APIs, documents), acts, checks its results, and iterates. Unlike a chatbot that only talks, an agent does — it runs the query, files the document, drafts the report, updates the record.
The difference between a demo agent and an enterprise agent is control. Enterprise agents need scoped access to data, permission-aware tools, confidence thresholds, human approval gates for consequential actions, and an audit trail for everything. That control layer is what AIONDATA builds first — it is the same architecture running inside our own products.
Because AIONDATA ships agent-native products — Lexicon exposes enterprise data to agents through the Model Context Protocol, and Agentic Studio orchestrates multi-model document agents — your custom agent starts from hardened infrastructure: connectors to 35+ data sources, a semantic layer for accurate answers, and governance built in. You get to production in weeks, on foundations already serving 50,000+ users.
We run agents in production — the MCP-enabled agent protocol in Lexicon is our own product, not a partner integration
Model-agnostic: OpenAI, Anthropic, Google, or open-source, chosen per task
Security-first architecture: scoped permissions, tenant isolation, complete audit trails
Evaluation-driven development — agent quality is benchmarked, not vibes-checked
Enterprise delivery discipline: ISO 9001:2015 and CMMI Level 3 certified
California + India teams for around-the-clock build and support
Describe the workflow in a 15-minute call — we will scope the agent, the guardrails, and the timeline.
Book an intro call