[03.1]
Customer support agents
Resolve tickets end-to-end across help desk, billing and order systems.
Service [03]
AI Agent Development
We build AI agents that do real work: they reason, call your tools and APIs, and hand off to humans exactly when they should.
Problem and approach
The problem
Agent demos are easy; reliable agents are not.
Agent demos are easy; reliable agents are not. Without scoped permissions, observability and evals, agents loop, over-spend and take the wrong action.
Our approach
Production-ready from day one.
We engineer agents with explicit tool contracts, sandboxed permissions, approval checkpoints, full trace logging and task-level evals — so you can trust them in production.
Capabilities
What we deliver.
Modular capabilities we combine into one coherent system for your use case.
[03.2]
Sales & SDR agents
Research, qualify, personalize outreach and book meetings in your CRM.
[03.3]
Ops & back-office agents
Reconcile data, process requests and update systems of record.
[03.4]
Multi-agent systems
Planner / worker / reviewer patterns orchestrated with LangGraph or custom runtimes.
[03.5]
MCP & tool integrations
Secure connectors to your APIs, databases and SaaS via Model Context Protocol.
[03.6]
Voice agents
Low-latency phone and voice agents for inbound calls, scheduling and triage.
Use cases
Where it pays off.
Examples of what this service can do for your business.
Example use case
Support resolution agent
An agent that resolves refund, shipping and account tickets across Zendesk, Shopify and Stripe.
Discuss a similar buildExample use case
SDR research agent
Researches inbound leads, scores fit, drafts personal emails and books demos.
Discuss a similar buildExample use case
Voice scheduling agent
Answers clinic phone lines 24/7, books and reschedules appointments in the EHR.
Discuss a similar buildArchitecture
How it fits together.
A typical reference design — adapted to your cloud, data and security model.
How we build
From idea to production in 5 moves.
A fixed-scope, evidence-first process. You see working software every week — and real numbers before you commit to the full build.
1–2 weeks
Discover
We audit workflows, data and systems, then rank AI opportunities by ROI and feasibility.
2 weeks
Prototype
A working prototype on your real data, with evals that prove quality before we commit to a build.
6–12 weeks
Build
Weekly sprints shipping production code to your repos, with demos every Friday.
1–2 weeks
Deploy
Staged rollout with monitoring, guardrails, cost controls and team training.
Ongoing
Optimize
We measure outcomes, tune prompts and models, cut cost and expand to the next use case.
FAQ
Common questions.
Are agents safe to connect to our systems?
We give agents least-privilege credentials, sandboxed tools, spend and rate limits, and require human approval for irreversible actions.
What frameworks do you use?
LangGraph, the Claude Agent SDK, OpenAI Agents SDK, CrewAI or a lightweight custom runtime — whatever fits your reliability needs.
How do we know an agent is working?
Every run is traced step-by-step, and task-level eval suites run on each change, reported in a dashboard you own.
Can agents work with our legacy tools?
Yes. If there's no API we use MCP servers, database access, RPA or browser automation as a fallback.
Explore
Other services.
AI Web Application Development
Production-grade web apps with LLM features built in — copilots, semantic search, generative workflows — shipped on a modern, scalable stack.
AI Custom Application Development
Bespoke AI applications for web, mobile and desktop — built around your data, your workflows and your compliance requirements.
Automation
Intelligent workflow automation that connects your apps, removes manual busywork and scales operations without scaling headcount.
[ Next step ]
Ready to scope your ai agents project?
Book a 30-minute strategy call. We'll map your highest-ROI AI opportunities and tell you honestly what's worth building.