Custom AI Agent Development
Beyond chatbots: agents that plan, call tools, query your systems, and complete real work — built with guardrails, memory, evaluation harnesses, and observability.
Custom AI Agents
AI agents that act — safely and at production scale.
Production-grade agents tailored to your domain, your tools, and your risk tolerance.
Common signs your team is overdue for custom ai agents:
- Generic agents don’t know your business rules, data, or systems
- No observability — you can’t tell why an agent did what it did
- No evaluation harness — “improvements” are a coin flip
- No guardrails — agents take destructive actions you didn’t expect
What we build for custom ai agents:
- Planner + executor architecture with explicit tool schemas
- Short-term and long-term memory (episodic + semantic)
- Guardrails: scoped tool access, cost ceilings, action approvals
- Eval harness with task-level scoring and regression tests
- Tracing & observability — every step inspectable
Capabilities
Agents that earn their keep
Production-grade agents — outcomes our clients keep coming back for.
Research agent
Browses sources, extracts evidence, writes citations-attached briefs.
Ops agent
Watches alerts, runs runbooks, opens tickets with proposed fixes.
Analyst agent
Queries your data warehouse, builds charts, writes the narrative.
Triage agent
Classifies incoming requests, gathers context, routes with a recommendation.
How we deliver · Agent-build sprint
- Scope the jobDefine the exact task, the tools the agent may use, and what success looks like.
- Build the eval firstTests come before the agent. We can’t improve what we can’t measure.
- Implement & instrumentBuild the agent with tracing on day one. Every decision is inspectable.
- Ship & monitorDeploy with dashboards, alerts, and an on-call rotation if needed.
Tools & platforms we use
Talk to an engineerFree 30-minute consultation
FAQ
Questions teams ask us about Custom AI Agents
Still unsure? Talk to an engineer. It’s free and there are no slides.
Ask us anythingHow do you stop the agent doing something it shouldn’t?
Agents only have access to tools you grant. Sensitive actions require explicit approval. We add cost ceilings, rate limits, and a kill switch by default.
When is an agent overkill?
Often. If a deterministic workflow with one or two LLM steps gets you 95% of the way there, that’s what we build. Agents earn their complexity.
How long does it take to get to production?
Most projects ship a real, usable system in 3–6 weeks. Discovery is 1–2 weeks; build sprints are weekly with demos.
Will my data be used to train models?
No. We default to enterprise tiers (OpenAI, Anthropic, Bedrock, Vertex) that don’t train on your data. For sensitive use cases, we deploy open-weight models on your infrastructure.
How do you control costs?
We design cost-aware from day one — model routing (cheap model first, escalate when needed), caching, batch processing, and per-user budgets with alerts.
Can you work with our existing engineering team?
Yes. We embed alongside your team, transfer ownership progressively, and document everything we build.
Free 30-minute call
Let's build something amazing together.
Our deep pool of certified engineers and IT staff are ready to help you to keep your IT business safe & ensure high availability.
- 1Tell us about your projectA few lines is enough to get started.
- 2A 30-minute callWe listen, ask the right questions and scope it.
- 3A sharp, honest planClear next steps and a quote. No obligation.