Specialised · under AI Development
AI Agent Development Services
Single-prompt AI products hit a ceiling fast. Real AI agents reason across steps, call tools, persist memory, hand off to humans where needed — and ship to production with observability and cost controls.
What we build
- Multi-step agent orchestration (LangGraph or custom)
- Tool calling + external API integration
- Conversation memory + persistence
- Human-in-the-loop handoff
- Multi-agent coordination
- Evaluation harness with success metrics
- Cost-controlled fallback routing
- Action audit log
- Production observability (LangSmith, custom)
- Streaming UI with intermediate steps shown
What you receive
- Production AI agent application
- Tool integrations (CRM, calendar, support, custom APIs)
- Evaluation harness for agent reliability
- Observability dashboards
- Retainer for ongoing tuning
Why custom over off-the-shelf
Agent reliability is the engineering challenge
Agents that work 80% of the time are useless in production. We design for the failure modes — partial completion, tool errors, infinite loops, runaway costs.
Human-in-the-loop is not a fallback
It's a first-class design choice. We build agents with explicit handoff points where human review adds value, not where the agent gave up.
Pricing and timeline
What it costs
Quoted in 48 hours
Itemised and fixed against a written scope, after one 30-minute call
Timeline
10 – 16 weeks
From kickoff to production
FAQ
Which agent framework — LangGraph, CrewAI, custom?
LangGraph for structured workflows with state machines. CrewAI for simpler multi-agent patterns. Custom when neither fits — usually when you need fine-grained control over execution.
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See details →Ready to scope this?
Fixed-cost proposal and delivery plan within 48 hours of a 30-minute discovery call.
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