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Custom AI agents
Task-specific agents with defined tools, boundaries and escalation rules — built for one job and measured on how well they do it.
AI agents · Custom AI software
AI that does the work, not just the demo.
METALCORE GLOBAL designs and builds custom AI agents and AI software for real operations — customer service, quoting, order handling and reporting — deployed in your environment, with human approval wherever a decision carries weight.
Scoped before built
Every engagement starts with a written scope, not an open-ended retainer.
Claude on AWS Bedrock
Production-grade model access, region-controlled data handling.
Human approval gates
Quotes, payments and order confirmations can require sign-off.
You keep the assets
Code, prompts and data stay in your accounts and your repositories.
What we build
Six systems we build again and again.
Each one can stand alone or combine into a single operating layer. We start from the workflow that costs you the most hours, not from a technology list.
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AI customer service
Multilingual first-line support that answers from your own documentation, qualifies the request, and hands off the high-value cases to your team.
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Quoting and RFQ automation
Inbound enquiries are parsed into structured requirements, matched against your authorised pricing, and routed for approval before anything is sent.
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Order and back-office automation
Documents extracted, orders structured, confirmations and reminders sent — the repetitive work that quietly consumes a week each month.
05
Analytics and business reporting
Enquiry, opportunity and order data turned into daily, weekly and monthly reporting — with the signals that actually change a decision.
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Integration and handover
Connection to your CRM, ERP, email and payment systems through documented APIs — plus the runbooks your team needs to own it afterwards.
How we work
Accuracy over enthusiasm.
An AI system that is wrong 10% of the time is not a 90% win — it is a new review burden. We build for the accuracy your operation can actually absorb.
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Scope before code We write down what the system does, what it must never do, and how success is measured — before development starts.
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Approval where it matters Quotes, payments and order confirmations can be routed to a named approver instead of being sent automatically.
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Your accounts, your data Models are called from infrastructure you control. Customer data is not used to train third-party models.
Delivery shape
Five stages, each one payable on its own.
You are never asked to commit to a full platform up front. Stage one produces something you can test against real cases.
01
Discovery and prototype
Business model, users, data sources, approval rules — plus a working prototype of the core interaction.
02
MVP
One agent or one workflow, running on your real inputs, with a management view.
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Integration
CRM, ERP, email, documents and reporting connected through APIs.
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Test and deploy
Accuracy, security, performance and cost tested before general use.
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Scale
Additional agents and workflows added as usage and ROI justify them.
From enquiry to running system
What an engagement looks like.
Timelines below are typical for a first agent or workflow. Anything larger is quoted after discovery, not before.
1
Requirements and architecture
We map the current process, the data it depends on, and the decisions that must stay human. Output: solution architecture, interface specification and a fixed scope.
1 – 2 weeks
2
Prototype against real cases
The core interaction is built and tested against cases from your own history. You see the failure modes early, while they are still cheap to fix.
2 – 3 weeks
3
Build and integrate
The agent or application is developed, connected to your systems, and instrumented with logging, permissions and approval routing.
4 – 8 weeks
4
Evaluation and controlled rollout
Accuracy, latency, cost per task and security are measured. Rollout starts with a supervised group, then widens as the numbers hold.
2 – 3 weeks
5
Handover and support
Documentation, runbooks and access transfer to your team. Ongoing support is optional and separately priced.
Ongoing, optionalNext step
Tell us which process costs you the most hours.
Send the workflow, the volume and the systems involved. We reply with an honest read on whether an AI agent is the right answer — and a scoped quote if it is.