LangGraph Agent MVP
You have a workflow that runs on manual coordination, human judgment, and institutional knowledge. It scales with headcount and breaks when people leave. We replace it with a production-grade AI agent that runs on LangGraph — and hand it over in 6 to 8 weeks.
A running agent, not a roadmap
Production-ready agent
A fully functional multi-step AI agent built on LangGraph — handling your specific workflow, not a generic template. Tested against real edge cases from your processes.
System integrations
Connected to your existing tools via API, webhook, or direct database access. The agent sits inside your current stack — not beside it.
Human-in-the-loop interface
Where the workflow requires review or approval, a lightweight interface for your team to supervise, override, and feed corrections back to the model.
Monitoring dashboard
A live view of agent runs — what was processed, what succeeded, what was routed for human review, token usage, and cost per run.
Full documentation and handover
Architecture diagrams, integration documentation, operational runbooks, and a 3-hour handover session with your engineering team.
Workflows we automate
From workflow map to production in 6 to 8 weeks
Workflow mapping
We map the exact process the agent will replace — every step, decision point, data input, and system touch. This becomes the agent specification.
Architecture design
We design the LangGraph state machine — nodes, edges, tools, and human-in-the-loop checkpoints. You review and approve before any build starts.
Build and integration
We build the agent, connect it to your systems, and run it against real workflow data. Two-week sprint with daily progress updates.
Testing and edge cases
Systematic testing across normal paths and edge cases. Human review triggers, error handling, and graceful degradation all verified.
Production deploy and handover
Deployed to your infrastructure or Vercel/AWS. Monitoring live. Documentation complete. Handover session recorded. Total: 6 to 8 working weeks.
Describe the workflow. We build the agent.
Tell us which manual process you want to automate. We send a workflow mapping document within 48 hours and scope the engagement before anything starts.
AI agent development — questions answered
What does AI agent development actually involve?
AI agent development means building a system that plans, reasons, and executes multi-step tasks against your real infrastructure, not a chatbot or a single API call. Kelriva AI builds these on LangGraph: mapping the workflow, designing the state machine, connecting it to your existing systems, and adding human-in-the-loop checkpoints where judgement calls still need a person. The output is a production-ready agent, not a proof-of-concept demo.
How much does AI agent development cost in the UK?
Kelriva AI's AI agent development is a fixed £15,000 fee for a production-ready LangGraph Agent MVP, delivered in 6 to 8 weeks. There are no day rates and no scope creep, the price is agreed before any build starts. Costs elsewhere vary widely depending on whether you are hiring a freelance developer for a prototype or an agency for a fully integrated, monitored production system.
How is this different from hiring a freelance AI developer?
A freelance build typically ends at a working prototype. Kelriva AI's agent development includes system integration with your existing tools, a monitoring dashboard for live visibility into every agent run, full documentation, and a handover session with your engineering team, so the agent is something you can operate and extend without depending on us.