AI Agents
AI Agent Development
Agents that complete work, not just answer questions
Discuss your projectTypically From $5,000
The problem
Why most "AI chatbot" projects underdeliver
- A chat widget with no access to your actual data or systems
- No clear owner for what happens when the agent gets it wrong
- Built once, never monitored, quietly ignored by users within a month
- Picked a use case that sounded impressive instead of one that saves real hours
What's included
Everything in our ai agents engagements
System-integrated agents
Wired into your CRM, ERP, helpdesk or e-commerce platform, not a sandboxed demo.
Guardrails & escalation
Defined boundaries for what the agent can do autonomously, and a clean handoff to a human for the rest.
Tool & function calling
The agent takes real actions — look up, update, notify, schedule — not just generate text.
Monitoring from day one
Logging and review on every agent decision, so you can see exactly what it did and why.
What you get out of it
- Automate the repetitive, not the riskyWe scope the first agent around a task done often enough to matter and safe enough to hand over.
- Prove it before scaling itOne agent, one measurable outcome, before any bigger commitment.
- No vendor lock-inBuilt on the model provider of your choice (OpenAI, Anthropic, or open-weight), swappable later.
What we deliver
- Single-task agent
- Multi-step workflow agent
- CRM/ERP-integrated agent
- Internal ops copilot
Technologies we use
- OpenAI
- Anthropic Claude
- LangChain
- Node.js
- Python
- Vector databases
- Webhooks & REST APIs
Most chatbot projects stall because the bot has no access to real data or real actions — it can talk about your order status, not look it up or change it. We build agents with the integrations, permissions and guardrails to actually complete a task: checking inventory, updating a CRM record, drafting a reply, escalating to a human when it should.
Every engagement starts with the same question: what decision or task, done a hundred times a week by a person, is worth automating first? We scope one agent around that, ship it, and prove the ROI before expanding scope.
How it works
Our ai agents process
- 1
Find the task
The highest-volume, well-defined task worth automating first.
- 2
Scope the agent
What it can do autonomously, what it escalates, and how success is measured.
- 3
Build & integrate
Wired into your real systems, with logging from the first deployment.
- 4
Measure & expand
Review real usage, then extend scope only where it's earned.
FAQ
Frequently asked questions
Common questions about our ai agent development work.
What's the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent takes actions — it can look up a record, update a system, send a notification or escalate to a person, inside the boundaries you set. That's what makes it save time rather than just deflect it.
How much does AI agent development cost?
A single well-scoped, rule-based agent typically starts around $5,000. A production agent with deep integrations into your CRM or ERP is usually $15,000–$20,000+, depending on how many systems it touches.
Which AI model do you build on?
Whichever fits the task and your budget — OpenAI, Anthropic Claude, or an open-weight model self-hosted for data-sensitive cases. We're not tied to one vendor, and the integration layer we build is portable if you switch later.
What happens when the agent doesn't know what to do?
It escalates to a human, by design. Every agent we build has explicit boundaries for what it handles autonomously and a clean handoff for everything outside that — we don't ship agents with unlimited discretion.
Have one task worth automating?
Tell us what it is. We'll tell you honestly whether an agent is the right tool for it.