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AI Development

AI Agent Development Services

Agents that use your tools and data to finish multi-step tasks, with guardrails, approvals and a log of every step.

Agents that finish the job

Our AI agent development services build agents that do more than answer: they plan a task, call your tools and APIs, and finish the work. Each agent has clear permissions, asks a person before risky actions and logs every step, so you can always see what it did and why.

Good first agents own one well-defined job, such as qualifying a lead, preparing a support case or reconciling records. For fixed, step-by-step workflows, AI automation services are often simpler.

A good fit if you

  • Run a SaaS product and want agents that act for your users inside it.
  • Have an internal process that spans several tools and needs judgment at each step.
  • Want to try an agent on one task before trusting it with more.
  • Need every action an AI takes to be logged and reviewable.

What we build

  • Operations agents

    Agents that work through internal tasks across your CRM, ticketing and data tools.

  • Agents in your product

    In-app agents that complete tasks for your users, within their permissions.

  • Multi-agent workflows

    Several focused agents that hand work to each other, each with one clear job.

  • Tool and API access

    Secure connections to the systems an agent needs, with read and write access kept apart.

  • Guardrails and approvals

    Limits on what an agent can do, plus human approval for actions that matter.

  • Testing and monitoring

    Test scenarios before launch and logs after it, so you can see how well it works.

How we build an agent

  1. Step 1: Choose the task

    We pick one job with a clear finish line and results you can measure.

  2. Step 2: Set the guardrails

    We decide what the agent may read, change and do without asking.

  3. Step 3: Build and test

    We build it and run it against realistic scenarios, edge cases included.

  4. Step 4: Launch with oversight

    It goes live with approvals and logs, and earns autonomy as results hold up.

Our agent stack

Proven models and frameworks, with each part swappable.

Models

  • OpenAI GPT models
  • Anthropic Claude

Frameworks

Memory and search

  • Pinecone
  • pgvector

AI Agent Development FAQs

Something else on your mind? Ask us directly.

What can an AI agent do for our business?

It can finish multi-step tasks that need some judgment, like qualifying leads, preparing support cases or updating records across systems. It works through your tools and APIs, within the permissions you set.

Which tasks are a good fit for an agent?

Tasks with a clear goal, repeatable steps and a way to check the result. High-stakes, open-ended work with no review step is a poor fit, at least to start.

How do you stop an agent from taking the wrong action?

We limit what it can access, require approval for risky actions such as sending, paying or deleting, and test it on edge cases before launch. Every step it takes is logged.

Can an agent work with our existing systems?

Yes, if they have an API or another way in. We connect the agent to your CRM, ticketing, databases or internal tools, with access limited to what the task needs.

Tell us about it, and we'll tell you honestly if an agent fits.

Got a task an agent could own?