The first AI project should be boring
The deployments that survive are the ones that start with a measurable, repetitive workflow and a named owner, not a showcase.
Knowledge
at work.
AwePlus deploys AKE, the Agentic Knowledge Engine, inside your enterprise: customised to your workflows, governed by your people, and run with our engineers in Taiwan, Malaysia, Australia and New Zealand.
The AI transformation delivery company of Magellan Global
Platform AKE, developed by Magellan Global with MTRI in Tokyo
People Engineers and delivery managers in four countries
Governance Human approval at every consequential decision
AI transformation is a change in how your people work. Not a demo.
Most enterprises already have models to choose from. What they lack is the engineering, the knowledge design and the operating discipline that make an AI workflow dependable inside their own systems and rules. That is the work AwePlus does.
The platform: AKE
The Agentic Knowledge Engine connects authorised knowledge sources, retrieval, agent-assisted tasks, human review and workflow integration. Magellan Global and MTRI develop it. AwePlus deploys it, customised to each enterprise.
The people: forward deployed engineers
Forward deployed engineers (FDEs) sit inside your team, in your systems and your meetings, and build the workflow with the people who will run it. Behind them stand solution engineers, integration developers and delivery managers in four offices, so the capability stays inside your enterprise rather than with a vendor.
The governance: responsibility at decision points
Permissions, approval steps and evaluation on your real cases. Suggestions are kept separate from approved actions, and every output can be traced to its sources.
Forward deployed engineering
Engineers inside your team, not advisers at a distance.
For AI DX in a B2B enterprise, the hard part is never the model. It is the hundred details inside your organisation: which document is current, who may approve what, how the ERP names a customer. A forward deployed engineer learns those details by working where they live.
Embedded
Works on site or in your daily stand-ups, with access agreed by your IT and compliance owners.
Hands-on
Configures AKE, writes the integrations and runs the evaluation set, then teaches your team to do the same.
Accountable
One named engineer per deployment, with a delivery manager and Taipei engineering behind them.
AI DX services
From the first assessment to daily operation. Each service is scoped, priced and staffed as its own engagement, and all of them lead to the same place: AKE running inside your enterprise.
Our core service
AKE customised enterprise deployment
A customised deployment of the AKE platform in your own environment: knowledge design, agent workflows, integration with your systems, evaluation on your cases, and a handover your team can run.
Your approval pointsGovernance
Your knowledge, your permissionsKnowledge
Your ERP, CRM, DMS and identitySystems
AI readiness and transformation planning
Choose the right first project before committing to an implementation.
Learn moreAgent workflows and process redesign
Connect knowledge, AI-assisted tasks and human decisions in a workflow your team will actually use.
Learn moreKnowledge and data foundation
Map sources, permissions and context so agents work from authorised, current information.
Learn moreCustom engineering and system integration
Make an AI application work with the ERP, CRM, document and identity systems around it.
Learn moreAI operations and continuous improvement
Keep a deployed workflow dependable as models, data and business needs change.
Learn moreAI DX capability building
Develop your internal AI transformation owner through supervised project work, in partnership with GSRP.
Learn moreHow an AKE deployment runs
Four stages with a decision point between each. Durations are indicative; scope and fees are agreed before each stage starts.
1
Diagnose
2–4 weeks
- Interview process owners and map the workflow.
- Review data, systems, permissions and constraints.
- Rank use cases and define a bounded pilot with acceptance criteria.
2
Design
3–6 weeks
- Map knowledge sources and permissions.
- Specify agent tasks, approval points and integration boundaries.
- Build the evaluation set from your real cases.
3
Deploy
6–12 weeks
- Configure AKE in your environment.
- Build integrations and interfaces; test against the evaluation set.
- Train users and go live on the agreed scope.
4
Operate
Ongoing
- Named service owner, monitoring and support.
- Change control when models, sources or rules change.
- Improvement backlog reviewed with you.
Where AI DX starts, by industry
The first project is usually a repetitive, document-heavy workflow with a clear owner. These are the starting points we see most often.
Financial services and insurance
Claims handling, KYC and AML casework, policy servicing, regulatory reporting.
Legal and professional services
Matter intake, document review, research memos, client reporting, filing preparation.
Manufacturing and semiconductor
Engineering knowledge retrieval, quality and yield investigations, supplier documentation, maintenance records.
Healthcare and life sciences
Clinical documentation support, regulatory submissions, patient and provider services.
Retail, consumer and e-commerce
Customer operations, product content, returns and exceptions, merchandising decisions.
Logistics and mobility
Exception handling, customs and compliance documents, dispatch and scheduling support.
Public sector and education
Casework, citizen and student services, records management, policy research.
Technology and telecommunications
Support engineering, knowledge bases, internal developer and IT services.
Four countries. One delivery model.
Engineering in Taipei, with client services and delivery teams in Kuala Lumpur, Melbourne and Auckland. Every engagement follows the same Diagnose–Design–Deploy–Operate model, whichever office leads it.
Taiwan — Taipei
Engineering and delivery centre
10F, No. 50, Fushan RoadBeitou Shilin Science Park, Beitou District
Taipei City 112
Taiwan Open in maps
Malaysia — Kuala Lumpur
Client services and delivery, Southeast Asia
Level 22 (A-22-01 & A-22-12), The MET Corporate Towers20, Jalan Dutamas 2, Kompleks Kerajaan
50480 Kuala Lumpur
Malaysia Open in maps
Australia — Melbourne
Client services and delivery, Australia
Level 2, T&G Building161 Collins Street
Melbourne VIC 3000
Australia Open in maps
New Zealand — Auckland
Client services and delivery, New Zealand
50 Albert StreetAuckland CBD
Auckland 1010
New Zealand Open in maps
AwePlus office Magellan Global group
Insights
Short, practical notes from deployment work.
Where agents should stop: designing approval points
An agentic workflow is defined as much by what it may not do as by what it can. Approval points are design decisions, not afterthoughts.
Knowledge before models
Most enterprise AI disappointment traces back to the information the system was given, not the model it ran on. What a usable knowledge foundation looks like.
Start with one workflow.
Tell us the process, the people who run it and what you would like to change. We will suggest the right first conversation, with no obligation.