AI Agent Development
Relayworks AI builds custom AI agents that reach production. We design the agent, connect it to your systems, constrain it with guardrails, give it an escalation path to a human, and ship it with an evaluation suite that catches regressions. Typical build: six to twelve weeks, fixed scope, and you own the repository.
What this solves
An agent demo takes an afternoon. An agent that can be trusted with a customer, an invoice or a booking takes considerably longer — because production is where the interesting failures live: the ambiguous request, the stale record, the tool that times out, the model update that silently changes behaviour.
What is included
- Agent architecture
- Deciding what the agent controls and what it must never touch. Most reliability problems are scope problems in disguise.
- Tool & system integration
- Real connections to your CRM, ERP, helpdesk, database or internal APIs — with retries, timeouts and idempotency.
- Guardrails
- Input validation, output constraints, PII handling, confirm-before-commit on anything irreversible.
- Human escalation
- A defined hand-off with full context when the agent is uncertain. Knowing when to stop is a feature.
- Evaluation suite
- A test set built from your real cases, run on every change and every model update, with pass thresholds you agree to.
- Observability & cost control
- Every run traced, every token counted, every failure visible — because you cannot operate what you cannot see.
What working with us looks like
| Detail | |
|---|---|
| Typical duration | Six to twelve weeks |
| Commercials | Fixed scope and a fixed number, agreed before work starts. No hourly billing. |
| Team | Senior-led. The people who scope the work do the work. |
| Code ownership | Yours outright, including the evaluation suite and infrastructure definitions |
| Evaluation | A labelled test set from your real cases, with thresholds agreed before build |
| After launch | Defect warranty, then optional managed operations |
AI Agent Development
We are model-agnostic and we build for portability. We work regularly with Anthropic Claude, OpenAI and open-weight models on managed infrastructure, and we choose per workload — often routing simple, deterministic steps away from a model entirely, which is usually the largest cost saving available.
You do, outright, including the evaluation suite and the infrastructure definitions. It is in the contract. We do not build on a proprietary platform you have to keep renting from us.
It is designed to be wrong safely. Irreversible actions require confirmation, uncertain cases escalate to a human with full context, and every run is traced so a failure can be reproduced and fixed. During the warranty period after launch we fix defects at no cost.
Six to twelve weeks for most builds. The variable is rarely the agent — it is how quickly we can get access to your systems and sign-off on edge-case behaviour.
Other services
AI Consulting & Strategy
Find the two or three processes where AI actually pays, model the return, and prove it with a working prototype — in two weeks.
Process automationAI Process Automation
Automating the document-heavy, repetitive, judgement-light work that consumes your team — with AI where it earns its place and plain code where it does not.
LLM & RAG integrationLLM & RAG Integration
Making your own data usable by a language model — retrieval that returns the right passage, answers grounded in sources, and measured accuracy.
Managed AIManaged AI Operations
Someone accountable for your AI system after launch — monitoring, evaluation, model migrations, cost control and a monthly report against the metric.
Let’s find out what AI can actually do in your business.
A 30-minute call. We will tell you honestly whether there is a case worth building — and if there is not, we will say so.