AI Agent Development Services for Autonomous Workflows

Build autonomous, tool-using AI agents and multi-agent systems — orchestrated and governed.

Trusted by Progressive Companies

What AI agent development adds beyond chatbots

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A chatbot tells you what to do; an agent does it. Codevision builds AI agents that understand goals, make decisions, use tools, and execute tasks across your business systems.

From automating workflows to handling multi-step processes, our agents turn AI from a source of information into action — with the governance and oversight enterprises require.

  • Takes action — calls APIs and tools to finish tasks, not just describe them.
  • Plans multi-step work — breaks goals into steps and adapts as conditions change.
  • Coordinates as a team — multi-agent setups where specialized agents collaborate.
  • Stays governed — human approval gates on consequential actions.

AI agents we build

Task-Completing Agents

Agents that execute multi-step processes end to end, not just chat.

Tool & API Calling

Agents wired into your systems to take real actions safely.

Multi-Agent Orchestration

Coordinated agents that divide work and collaborate toward a goal.

Copilot Studio Agents

Agents built and deployed on Microsoft Copilot Studio and Power Platform.

Knowledge-Grounded Agents

Agents that reason over your data with retrieval for accuracy.

Guardrails & Approvals

Permission scopes and human gates that keep autonomy in check.

Agentic AI that's safe to let loose

We give agents real capability and real boundaries in equal measure.

Technology

Microsoft Platform Depth

Agents built on Copilot Studio, Azure, and the Power Platform.

Controlled Autonomy

Scoped permissions so agents act only where you allow.

Human-in-the-Loop

Approval gates before any consequential action executes.

Observable by Design

Logging and monitoring so you can see exactly what an agent did and why.

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Reduction in manual task handling

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Of routine tasks completed autonomously

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Weeks to a working agent

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Agents deployed

How we build an AI agent

A path that scopes autonomy carefully before widening it.

Define the Job

We specify the task, the tools the agent needs, and its limits.

Build & Ground

We build the agent, connect its tools, and ground it in your data.

Gate & Test

We add approval gates and test behavior against real scenarios.

Deploy & Observe

We roll out with full logging and expand autonomy as trust builds.

Built for trust, security, and governance

Autonomy raises the stakes, so control and visibility are non-negotiable.

Scoped Permissions

Agents can only touch the systems and actions you explicitly allow.

Approval Gates

Consequential steps pause for human sign-off.

Full Auditability

Every action an agent takes is logged and reviewable.

Responsible AI

Behavior and safety aligned with Microsoft's Responsible AI standards.

Real Results. Real Impact.

Explore All Case Studies

Trusted by Businesses Worldwide: 100+ Happy Clients

They've experienced our services and they know how we did it.

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Frequently Asked Questions

An AI agent is software that uses a language model to plan and take actions toward a goal — calling tools and APIs to complete multi-step tasks, not just answer questions. Codevision builds them with scoped permissions and human approval gates.

A chatbot responds with information; an agent acts on it — executing steps, calling systems, and completing work. Agents are built for tasks, chatbots for conversation.

Agentic AI is the broader approach of giving AI the ability to plan, decide, and act autonomously within defined limits — often with several specialized agents collaborating on a goal.

We build purpose-built agents that do real work inside your operations, including:

  • Task-completing agents that run multi-step processes
  • Tool- and API-calling agents wired into your systems
  • Multi-agent systems that coordinate on a goal
  • Copilot Studio agents on Microsoft’s platform

Autonomy is matched with control at every step:

  • Scoped permissions limit what an agent can touch
  • Approval gates pause consequential actions for sign-off
  • Every action is logged and reviewable
  • Safety checks align with Microsoft’s Responsible AI standards

Yes. Agents call your existing APIs and systems, and we commonly build on Copilot Studio, Azure, and the Power Platform so they fit your Microsoft environment.

We start by scoping a single, well-defined task and its limits, build and test that agent, then widen its autonomy as trust and results build.

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