Custom AI agents for the work a general agent cannot do
Bespoke AI agents scoped, built, tested and deployed into production inside your environment.
Our approach
We design and ship bespoke AI agents that run in production: scoped, built, tested and deployed, with the orchestration and monitoring to keep them reliable. The agent is shaped to your workflow and runs inside your environment under your governance.
Scoping
We define exactly what the agent does, which systems it connects to, the guardrails it needs and how success is measured, before writing a line of code.
Build
Custom development integrated with your data sources, APIs and business systems, using the LLM and architecture that fits the task.
Test and Evaluate
Structured evaluation with test datasets, edge cases and human-in-the-loop review, so the agent is proven before it reaches production.
Deploy and Operate
Production deployment inside your environment with orchestration, monitoring and runbooks, plus knowledge transfer so your team can operate and extend it.
What's in the way
Off-the-shelf AI tools solve generic problems. The work that actually moves your business is specific to how you operate, and no vendor tool fits it exactly. Most custom agent projects also stall at a demo, with no path to production.
How we deliver
Senior people who have shipped agents into production and kept them running there. We build for reliability from day one, with the guardrails and monitoring an enterprise needs.
When to bring us in
For a specific, high-value business problem where a general tool falls short and you need an agent that fits your workflow and your rules.
What you'll see
Shipped into production
Retail media: for a major Australian retail media network we built an agent that lets the team prepare client proposals, drawing on audience data, inventory data and rate cards, turning a slow manual task into fast, consistent output.
Built for reliability from day one
Senior people who have shipped agents into production, with the guardrails and monitoring an enterprise needs.
Owned by your team
Every agent is handed over with documentation, monitoring and a runbook, ready for your team to operate and extend.
See how this applies to your industry
Common questions
What is custom AI agent development?
Custom AI agent development is building a bespoke agent to solve one specific business problem, scoped, built, tested and deployed. Unlike an off-the-shelf tool, it is shaped to your workflow and runs inside your environment under your governance.
How long does it take to build a custom AI agent?
Most custom agents are built in a tight, scoped engagement of roughly 6 to 12 weeks, rather than an open-ended project. Scope drives the exact timeline, which we agree with you up front.
Do we own the agent you build?
If you fund the build, you own the IP. Where a build is co-funded or based on our existing components, we license it to you instead. Either way the agent runs in your environment, under your governance, and we agree the model with you up front.
What is agentic AI?
Agentic AI is AI that takes actions to complete a task rather than only generating text. An agent plans, calls tools, and runs multi-step work under guardrails. The hard part is getting agents to run reliably in production, which is where most projects stall.
What does agentic AI consulting involve?
It covers designing the agent, the orchestration between multiple agents and tools, and the monitoring that keeps them reliable once live. Xephyr ships agentic systems into production and stays to keep them there, rather than handing over a proof of concept.
How do you keep AI agents safe in production?
With guardrails, human oversight where it matters, and continuous monitoring of what the agents do. Agents run inside your environment under your governance rules, and every step is auditable.
See what AI can do for you
Request a personalised demo and see how our solutions work with your data.