AI agents for ERP
Domain-trained agents inside Finance, SCM, HCM and CX that move you from reporting to real-time decisions.
- Intelligent PO and SO generation
- Context-aware copilots
- Agentic workflow automation
We embed domain-trained AI agents into Oracle Cloud ERP and the systems around it, so Finance, Supply Chain, HR and CX teams decide faster, with data that never leaves your control.
A rare combination: consultants who know Oracle Cloud ERP inside out, and engineers who ship AI agents into production. We turn outdated systems, slow processes and missing AI strategy into an advantage.
Delivery across time zones, so projects never stop moving.
AI products live in production, built on the stack we deliver for clients.
Ways to deploy: edge, private cloud or hybrid, with your data kept in place.
Partner for ERP, AI, integrations and data, from discovery to run.
Secure, scalable and agentic, built into your ERP ecosystem and deployed where your data lives.
Domain-trained agents inside Finance, SCM, HCM and CX that move you from reporting to real-time decisions.
Oracle Fusion functional and technical delivery, with AI-assisted configuration checks and reporting.
Private or hybrid AI with strict governance, so enterprise data stays inside your environment.
Low-latency AI at the edge that integrates cleanly with your cloud infrastructure.
Legacy ERP upgraded into AI-ready platforms with API-first architecture and predictive analytics.
Custom SaaS apps, retrieval-augmented knowledge bases and pipelines that make your documents answerable.
Fixed-scope offers with a clear result at the end, so you can try us on something small before anything big.
Two-week health check of your Fusion pods, updates, integrations and reports, with a 90-day plan.
See how it works →1 dayOne working day to pick your best AI use cases and see a working agent on your own data.
See how it works →6 weeksSix weeks, one finance process, an AI agent on read-only Fusion data, measured against today.
See how it works →Free PDFFree PDF: the checks to run before each Oracle Fusion quarterly update reaches production.
Get the checklist →Working AI products, running today on the same stack we deliver for clients.
For small and mid-size enterprises that want Claude and other AI assistants to work with their own business systems. Design a workflow visually, connect it to your databases, Oracle Fusion, email or n8n, and publish it as a secure tool your team calls from the assistant they already use.
Which AP invoices over $10k are still open this week?
The AI workspace our delivery teams run on. Every engagement gets its own knowledge base, eight specialised agents answer from it, and every grounded claim links to the document, page and section it came from.
How should retrieval work for the client's product catalogue?
A short tour of the AI delivery workspace our teams run on.
End-to-end Oracle Fusion delivery: planning, execution, testing, go-live and support. Ask your pod anything in plain English for governed, read-only SQL and reports, and generate and run smoke, regression and UAT tests.
Open DLVR → SolutionOperations copilot for logistics: tracking, exceptions, dispatch and voice agents, on the same agent framework.
Ask for a demo →Demand forecasting, supply chain optimization, production visibility.
Forecasting, close automation, ledger checks, anomaly detection.
Real-time visibility, exception handling, dispatch automation.
HR intelligence, analytics and employee self-service agents.
Voice ordering, daily sales reporting, customer engagement.
RAG tutors, lesson and quiz generation, teacher analytics.
Secure document intelligence and governed workflow automation.
Sovereign, audit-ready AI aligned with federal AI requirements.
Agile sprints, a dedicated team and full transparency at every stage.
ERP and AI readiness, use-case discovery and architecture review.
Models, data boundaries, identity and governance, designed for security.
Agents embedded into real workflows through secure integrations, in weekly sprints.
Monitoring, evaluation and tuning across time zones, around the clock.
Side projects where we try new models, data and interfaces before they reach client work. Live and free to explore.
Market intelligence twice a day: regime, key levels, gamma context and options ideas with sources, plus an AI analyst.
An AI playground for students 12 to 21: tutor, lessons and quizzes grounded in class material, research and events.
Remote roles with a globally distributed team. Send your résumé and the role you are applying for.
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