AI, RPA, and intelligent process execution

AI Agent Automation Built for Real Business Workflows

Move beyond demos with governed AI agent automation that connects LLMs, RPA bots, APIs, documents, and human decisions. BotDev engineers help US teams design, build, orchestrate, and operate practical intelligent workflows.

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BotDev - intelligent automation experts

AI agents are most useful when they are connected to reliable execution. We combine LLM workflows with RPA, APIs, documents, rules, approvals, and observability.

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Knowledge and document workflows

Turn unstructured information into action

Use AI to classify, extract, summarize, and route information before deterministic automations complete the next step.

  • Document understanding and communications workflows
  • LLM-assisted classification and extraction
  • Human review for low-confidence or sensitive cases

Agentic process execution

Give agents a controlled role in the process

Define what an agent can interpret, what tools it can call, and when the workflow must stop for a human or deterministic rule.

  • Scoped tools, permissions, and business context
  • Confidence thresholds and fallback actions
  • Audit-friendly decisions and traceable outcomes

RPA and API integration

Connect AI reasoning to system execution

Let AI handle interpretation while RPA bots, APIs, and business rules perform repeatable transactions across enterprise applications.

  • UiPath, Automation Anywhere, Power Automate, Python, and Robocorp
  • ERP, CRM, service management, and document systems
  • Queues, approvals, exceptions, and production monitoring

Practical AI adoption

Start with a use case that can be measured

BotDev helps teams choose workflows where AI improves cycle time, decision support, or service quality without compromising control. Our certified engineers can work in US time zones and support the full path from discovery to production.

  • Define the business outcome, baseline, risk, and human responsibilities.
  • Prototype with real examples and evaluate accuracy before expanding scope.
  • Operate the workflow with monitoring, feedback loops, and continuous improvement.

A safer path to agentic automation

Design AI workflows people can trust

Our approach treats AI as one component of an operating process. The surrounding rules, controls, integrations, and people make the workflow useful in production.

01Discover

Choose the right process and define the outcome.

02Prototype

Test prompts, tools, data, and evaluation criteria.

03Govern

Add permissions, approvals, logs, and fallbacks.

04Operate

Monitor outcomes and improve the workflow over time.

What is the difference between AI agents and RPA bots?

RPA bots follow defined steps reliably. AI agents can interpret context or choose among approved actions. Strong business workflows use each where it is most dependable.

Can AI agents access enterprise systems?

They can work through approved tools, APIs, or RPA actions. BotDev designs permissions and guardrails so agents do not receive uncontrolled access.

Do you build LLM workflows for customer operations?

Yes. Potential use cases include document intake, service triage, knowledge retrieval, communications support, workflow routing, and human-in-the-loop review.

Can you support production after an AI pilot?

Yes. We can add evaluation, monitoring, orchestration, incident response, documentation, and managed support as the workflow matures.

Make intelligent automation practical

Bring us a process, not just an AI idea. We can help define the workflow, controls, platform, and team needed to make it useful.

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