Best Craftsmanship Award 2025 Meet Magento India
AI agents and workflow automation, built into your systems
Agents and automated workflows that use your data and systems, with guardrails, logging and human review.
Who we build AI agents for
Your team retypes the same data into three systems
Document extraction, routing and system sync, with a human check where it matters.
ServiceXPro.ai
Leads sync from GoHighLevel CRM and start a service workflow on their own.
You want an assistant that answers from your own data
Knowledge assistants and tool-using agents with guardrails, logging and audit trails, on OpenAI and Claude models.
ClaimXPro.ai
Amazon Bedrock tidies technician notes, and the user accepts every suggestion.
You want AI working inside your store
Catalog, support and order agents wired into Magento or Shopify, built on our commerce work since 2015.
Commerce we built
LivingZone.de: Magento 2 with Odoo ERP integration, the systems an agent works with.
What do our AI agents and automations do?
Six kinds of work we automate, each with logging and a human check on the steps that matter.
How do we ship AI without breaking things?
Every change goes through Git, code review, automated tests and staging. AI drafts code; an engineer reviews every change before release.
Book a discovery callStep 01
Discover
Map the workflow, data and systems before writing any code.
Claude
Step 02
Plan
Scope, fixed estimate and success measures agreed with you.
Step 03
Build
Small, reviewed changes. AI-assisted, engineer reviewed.
Git
Docker
Step 04
Test
Automated tests, plus evaluation runs on AI output.
- Playwright
PHPUnit
Step 05
Ship
Planned releases with a tested rollback.
GitHub Actions
Step 06
Monitor
Errors, latency, cost and AI answer quality watched after release.
- CloudWatch
How an AI agent project runs, step by step
- Agent Readiness Sprint, 2 weeks. We map one workflow, check your data and systems, and hand you a costed build plan.
- Agent Pilot, 4 to 6 weeks. One agent built against your real systems and data, tested with your own team.
- Production hardening, scoped per pilot. Security, access control, monitoring, evaluation and fallbacks before full rollout.
- AgentOps, monthly. We run, monitor and improve your agents, and report on quality and cost.
Automation and AI we built
ClaimXPro, one of 100+ projects delivered, puts AI inside a live claims platform.
See all projects
Case 01Custom build
ClaimXPro.ai
Claims and restoration platform on web and iOS, with Amazon Bedrock in the technician workflow
- Property restoration
- Next.js
- Australia
ClaimXPro.ai: AI with a human check
- Amazon Bedrock
- Claude Haiku 4.5
- NestJS
- Next.js
- “Tidy text” cleans up technician notes for spelling, grammar and punctuation.
- Ten automatic checks keep numbers, dates, names and negations unchanged.
- The user accepts every suggestion; note text is never stored or logged.
- Behind a feature flag and limited to owners and admins.
The stack we work in
Models
- Claude
- OpenAI
AI platforms
- Amazon Bedrock
- Microsoft Foundry
Build
- Python
- Node / NestJS
- React / Next.js
Integrations we have shipped
- GoHighLevel CRM
- GetCircuit
- Twilio
- Odoo ERP
Ways to work with us
A fixed-price sprint, a scoped build or a dedicated engineer. Start small, switch later.
AI agent and automation questions
What is an AI agent?
An AI agent is software that uses a language model to read a task, call your tools and complete steps on its own. We build agents with guardrails, logging and a human check on the steps that matter.
Which work should we automate first?
Start with repetitive work that follows clear rules, such as retyping data between systems or routing requests. The 2-week Agent Readiness Sprint maps one workflow and gives you a costed build plan.
Does a person still check the work?
Yes, where it matters. We put human review on steps that send, pay or change records. In ClaimXPro, every AI suggestion waits for the user to accept it before it is used.
Which models and platforms do you use?
We build on Amazon Bedrock with AgentCore and on Microsoft Foundry Agent Service, with OpenAI and Anthropic Claude models. We choose by your cloud, data rules and cost.
Who owns the agents and the code?
You do. We sign an NDA on request, you own all code and IP, and we hand over the complete Git history at any point.
What happens next
A straight answer on what to build first.
- Your workflow, systems and goals.
- We reply with times for the call.
- A fixed-price next step, or a referral if we are not the right fit.
First reply within 1 business day.
Free call. NDA on request. First call in your time zone.
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