AI stops at individual tools
People use AI, but it remains disconnected from internal knowledge, systems and approvals.
DISCERN WITH DEPTH. ADVANCE WITH PURPOSE.
Think deeply.
Act with purpose.
AI Agents tailored to your enterprise.
Business improvement, delivered in practice.
With AI Agents at the forefront, we tailor delivery from on-site discovery and industry research through development, integration, pilot launch and improvement. We turn recommendations into working systems and workflows, assessing value through agreed deliverables, acceptance and real use.
YOUR BUSINESS / OUR STARTING POINT
Does any of this sound familiar?
For operating businesses ready to bring AI, data and process improvement into the organisation. Start with a specific challenge, then assess where investment makes sense.
Fragmented data, manual analysis
Reporting, reconciliation and management analysis require repeated manual work across systems.
Knowledge depends on a few people
Information is hard to find, and training, handover and everyday decisions depend on a few experts.
Repetitive work, unclear priorities
You want automation, but need to decide where AI, rules or process changes would help.
A pilot exists. Adoption does not.
The demo works, but integration, operational adoption and launch still need coordinated delivery.
OUR PERSPECTIVE
The value of consulting
is realised in delivery.
Every enterprise has different processes, data and teams. We use on-site discovery, interviews and industry research to define the problem, tailor the solution and drive development, integration, testing, launch and feedback. Documentation supports implementation; value is demonstrated by working systems, team adoption and evidence against agreed business goals.
WHY AN IMPLEMENTATION PARTNER
AI can offer answers. Who makes change work in your business?
For self-contained tasks that existing AI tools can handle, using AI directly can be enough. Projects spanning departments, internal data, existing systems and launch responsibilities need coordinated delivery. We use AI within that work and take responsibility for implementation and coordination within the agreed scope.
Understand the operating context
Use observation, interviews and industry research to establish goals, process exceptions, data conditions and decision boundaries.
Integrate AI into real workflows
Prepare data, connect tools, configure access and handle exceptions so generated outputs become workflows people can test and use.
Support adoption across teams
Agree responsibilities, operating procedures and review points with business, IT and management teams, then support adoption through pilots, training and feedback.
Make delivery accountable
Agree scope, milestones, acceptance criteria and evaluation metrics, track issues, verify outcomes and improve as agreed.
FEATURED SERVICE / AI AGENTS
AI Agents built around your enterprise.
AI Agents are a core focus of our work. We connect enterprise knowledge, business rules and system tools around real tasks, designing collaboration from information retrieval through to task execution.
Discuss your Agent use case ↗Explore this service ↗From task definition and knowledge or system integration to access boundaries, human approval and evaluation, every step is designed for the enterprise’s workflows and data. Capabilities and scope are agreed after discovery.
Start with the task, then design the Agent
Enterprise knowledge & work assistants
Find internal information, trace sources and support training and professional work.
Task execution & workflow coordination
Connect business tools for repetitive tasks, with human approval and exception handling.
Business analysis & management support
Organise business data, assist reconciliation and analysis, and track actions and exceptions.
These are potential project directions. Functions are agreed after discovery, assigning suitable work to AI, rules, specialist software and human judgement.
01 / WHAT WE DO
From strategic insight to execution
Growth, efficiency and collaboration.
A practical improvement path for your business today.
AI & digital transformation
Identify valuable use cases and turn enterprise knowledge and repetitive tasks into useful tools and workflows.
- AI readiness assessment & transformation roadmaps
- Enterprise knowledge bases, RAG & AI assistants
- Agent workflows & systems integration planning
- Data governance, access & human review design
Business & finance integration
Connect business activities with financial outcomes for clearer management insight and better collaboration.
- Order, procurement, inventory & finance workflows
- Cost accounting & profitability analysis
- Budget management & business dashboards
- ERP selection, integration planning & implementation coordination
Cost & operational improvement
Find measurable opportunities to improve processes and resource allocation.
- Process diagnostics & bottleneck analysis
- Automation assessment & pilot design
- Management metrics & performance tracking
- Team collaboration, SOPs & change management
Supply chain & procurement
Connect demand, supply and delivery to balance cost, inventory and service levels.
- Supplier assessment & procurement strategy
- Inventory mix & replenishment improvement
- Fulfilment processes & supply risk assessment
- Supply chain data & systems coordination
Expert interviews & business insight
Structure research around specific decisions and turn fragmented information into a sound basis for discussion.
- Industry research & expert interview design
- Customer needs & competitive analysis
- Technology & vendor solution comparisons
- New business feasibility & commercialisation pathways
Commercial negotiation & project coordination
Clarify commercial goals and delivery boundaries to turn business needs into workable agreements.
- Commercial contract terms & negotiation preparation
- Pricing, scope & acceptance criteria
- Technology procurement & external team coordination
- Project delivery, risk tracking & retrospectives
AI Agent design & implementation ↗Business performance & finance integration ↗Healthcare operations & digitalisation ↗Commercial due diligence & risk research ↗
02 / INDUSTRY FOCUS
Better change starts with industry understanding.
Start with real business processes.
Assess opportunities and delivery conditions together.
These are potential service scenarios. Scope and deliverables are agreed according to each organisation’s needs.
03 / SELECTED EXPERIENCE
Methods shaped by real business challenges
Selected prior project experience of co-founder Jordan Zhang
Projects are anonymised and are not client engagements of CernoVance.
IN FOCUS / RETAIL PRODUCT KNOWLEDGE & TRAINING
Bring quarterly product knowledge into everyday training.
Business challenge
Quarterly product materials need to support queries, question banks and training content, with consistency across product lines, versions and answer sources.
Jordan’s contribution
Mapped the journey from source materials to training content, defined knowledge and generation scope, and specified inputs, outputs and engineering tasks.
How the approach works
A knowledge graph organises product relationships while RAG retrieves original material. Product, quarter and source-page metadata support traceability, with human review of answers and draft training content.
- 01Quarterly product materials
- 02Knowledge organisation & retrieval
- 03Answers, questions & training drafts
- 04Source checks & human review
Approach illustration · No client data or system screenshots
This describes Jordan’s prior product planning and solution design experience, not a CernoVance client engagement. No full-rollout or quantified performance claim is made here.
StarPlan AI | Resume screening and ranking optimisation
Redefined AI ranking rules and optimised resume information extraction for the screening system, reducing server costs by more than AUD 7,000 in a single month.
Explore the collaboration case ↗Enterprise knowledge & CAD intelligence
Planning an enterprise AI platform for a major Japanese automotive group, connecting engineering knowledge search, source traceability, Agent assistance and simple mould STEP-to-DXF drawing generation.
Intelligent estimating & claims collaboration
Designing workflows for an overseas insurance group’s motor estimating use case: voice or keyword input, related repair operation recommendations, human editing and draft estimate generation.
A FOCUSED ENGAGEMENT
The right project team for the problem.
Establish business goals and delivery conditions first, then agree scope, roles and delivery arrangements. Demonstrations, business reviews and joint acceptance keep the enterprise involved in key decisions.
Agree goals and boundaries first
Clarify priority problems, project ownership, responsibilities and acceptance arrangements.
Work in the enterprise context
Deliver around existing systems, data and team capabilities, with agreed business review points.
Enable the operating team
Plan training, essential documentation and operational handover, with support scope and duration agreed per engagement.
04 / HOW WE WORK
From the first conversation to everyday use.
Understand the problem, agree the approach, validate it in a pilot and assess delivery through acceptance and real use.
Understand the problem
Use interviews, discovery and research to establish goals and constraints.
Agree the approach
Assess feasibility and agree scope, investment and acceptance criteria.
Build and validate
Build and integrate, then validate within agreed pilot use cases.
Launch and improve
Complete acceptance and handover, then track usage and improve as agreed.
05 / THE PEOPLE & THE PRINCIPLE
Depth in thought.
Commitment in action.
CernoVance combines elements of Discern and Advance. We use insight to understand the challenge and action to move things forward.
Our Chinese name reflects deep thinking, commitment and trust, and comprehensive judgement. These principles guide every collaboration.
Read our story ↗JZ
CO-FOUNDER
Jordan Zhang
With a software engineering background and master’s education in information systems and business analysis, Jordan has focused on AI products since 2023. Prior work at Orangetech spans enterprise AI projects in manufacturing, retail training and insurance, connecting requirements, product design, technical solutions and engineering delivery.
XD
CO-FOUNDER
Xavier Ding
Formerly a Finance Business Partner at ByteDance, Xavier combines HR, AI use-case design and enterprise transformation experience. His work includes cost and efficiency improvement across staffing and data centres, financial and management reporting alignment, account mapping and ERP customisation. He connects business judgement, structured analysis and organisational collaboration to AI adoption and business improvement, with deep experience in China’s medical insurance policy, hospital operations and hospital digitalisation.
Explore Xavier’s background ↗DL
Co-founder
Dr. Daisy Liu
Daisy holds a PhD in Human–Computer Interaction from the University of Melbourne and brings extensive research experience at the intersection of AI and human resources, with a focus on talent assessment, recruitment and human–AI collaboration. Active in Melbourne’s AI community, she has experience organising and participating in major AI competitions and innovation events, connecting researchers, founders and industry practitioners.
LET’S MOVE FORWARD
Start with a real challenge.
Let’s begin a conversation.
test@test.app ↗Start with a business challenge.
Tell us where time is lost, how work is handled today and what you want to improve. We can then discuss the scope of the problem and whether further discovery would be useful.
Useful context, if available
Current workflows · Existing systems and data sources · A typical problem · The change you want to achieve. You do not need a finished brief.
Decide the next step together
Assess the fit first, then discuss discovery, required information and the scope and arrangements for any next stage.
Temporary contact email. Official contact details will be added later.