AI Agent Development
An AI agent doesn't just answer a question; it works through a task step by step, using your tools. We build agents for well-defined jobs, with clear limits on what they can touch.
At a glance
- Timeline
- A first agent typically takes 4 to 8 weeks, including evaluation and supervised rollout.
- You get
- Task analysis and agent design
- Tool integrations with scoped permissions
- Approval steps for consequential actions
- Tools
- Anthropic and OpenAI tool use, Model Context Protocol (MCP), LangGraph or custom orchestration, Your business system APIs
- Price
- A fixed, written quote. Free to ask.
Page reviewed October 2026
What this covers
Agents are a good fit for tasks that need several steps and some judgment: researching a lead before a sales call, triaging and routing support tickets, preparing a first draft of a proposal from a template and CRM data, or reconciling records between two systems.
The risk with agents is that they're unpredictable when given too much freedom. We design them narrowly. Each agent gets a specific job, a short list of tools, permissions limited to what that job needs, and approval steps before anything consequential, like sending an email to a customer or changing a payment record.
Every action is logged, so you can see what the agent did and why. We start with the agent drafting and a person approving, and only remove approvals once the results have been consistently right.
Is this right for you?
You'll get the most out of it if any of these sound familiar:
- A task takes your team several tools and many small decisions each time.
- Your team does research or prep work before every sales call or project.
- You want to automate something too varied for fixed rules.
- You've seen agent demos and want to know what would actually work for you.
What you get
Included in a typical engagement:
- Task analysis and agent design
- Tool integrations with scoped permissions
- Approval steps for consequential actions
- Evaluation set and accuracy testing
- Action logs and monitoring
- Rollout plan from supervised to more autonomous
How it works
A first agent typically takes 4 to 8 weeks, including evaluation and supervised rollout.
Define the job
We write down exactly what the agent should do, what it shouldn't, and what 'done' looks like.
Build tools
We connect the systems it needs with the narrowest permissions possible.
Evaluate
We run the agent against real past examples and measure how often it gets them right.
Supervised rollout
It drafts, people approve, and autonomy grows only as accuracy is proven.
What affects the price
Every quote is fixed and written down before work starts. These are the things that move it:
- Number of tools and systems the agent uses
- Complexity and variety of the task
- Evaluation depth required
- Usage volume
Mistakes we plan around
The problems we see most often when this work is rushed:
- Giving an agent broad access 'to see what it can do'.
- No evaluation set, so nobody knows how often it's wrong.
- Removing human approval before the agent has earned it.
AI Agent Development questions
What's the difference between a chatbot and an agent?
A chatbot answers questions. An agent completes tasks: it decides which steps to take, uses tools to take them, and checks the results. Many projects combine the two.
How do you keep agents from doing something harmful?
Narrow permissions, a short list of allowed tools, approval steps before consequential actions, and full logs. We also test against tricky cases before giving the agent real work.
Which AI models do you use?
We pick per task. Claude and GPT models are our usual choices, and we test more than one before deciding. We avoid locking you into a single provider.
Can agents work with our existing software?
Yes, if the software has an API or an MCP server. For tools without either, we look at other options, such as email-based workflows or browser automation, as a last resort.
Often paired with
Services clients commonly combine with this one.
- AI Chatbot Development
Chat assistants trained on your own content that answer customers accurately and know when to hand off.
- MCP Integrations
Model Context Protocol servers that let AI assistants use your business tools and data safely.
- Workflow Automation
Connect your apps so data moves between them automatically instead of by copy and paste.
- AI Business Automation
Find the repetitive work eating your team's week and hand it to software that does it reliably.
Want a quote for this?
A few sentences is enough. We'll reply within one business day with questions or a suggested next step, and a fixed quote once the scope is clear.
What you can count on
- A fixed, written quote before any work starts
- Code, domain, hosting, and analytics in your name
- A progress update every week during projects
- Monthly plans that run month to month
- A reply within one business day