business input
Process · Data · System
WorkBuddy delivery service provider · Tencent Cloud ecological partner
Let AI inEnterprise production system
Kumo WorkBuddy Delivery ServiceAs the core, through the FDE pre-deployment model, it helps enterprises complete scenario planning, knowledge and system access, production online and continuous operations.
Start with a business problemUnderstand the process, users and business goals first
Verify minimum work closed loopLet real users complete a complete task
Drive continued adoptionAfter going online, continue to optimize and copy to more scenarios
AI production path
Kumo FDE joint delivery
Plan · Build · Deploy · Operate
production results
Value verification · Online operation · Continuous adoption
WorkBuddy planning, configuration, knowledge access and digital employee building
The FDE team promotes system access, online training and ongoing operations.
Understand Kumo FDE mode ↓
Tencent Cloud Ecological PartnerWorkBuddy AI SaaS serviceADP AI PaaS developmentTencent Cloud preferential purchase Selection and activity verification
01 KUMO FDE DELIVERY MODEL
Kumo FDE mode,
Work with you to complete AI production online
Kumo FDE ModeIt is Shenzhen Cloud’s core service model for enterprise AI production. The pre-deployment engineer enters the business site and connects the customer's business and technical teams, the Kumo engineering team, as well as WorkBuddy, ADP and Tencent Cloud basic resources to jointly complete scenario definition, application development, system access, production online and continuous operations.
Customer business site×Kumo FDE×Kumo Engineering Team×Tencent CloudProduct Capabilities
common definitionNot just receive requirements, but determine goals and boundaries together
co-constructLet real users participate in verification and quickly correct the plan
shared responsibilityNot only completing launch, but also focusing on adoption and business results
Identify the problem and establish a basis for project judgment
Walk through the real processes, systems, data and human collaboration, confirm business leaders, value baselines and priority scenarios, and avoid starting with a vague "want to use AI".
stage outputScenario priority · Business indicators · Data and interface list
- Business process diagnostics
- Value and Feasibility Judgments
- Confirmation of responsibility boundaries
Verification closed loop to allow real users to complete tasks
Build an operational version within a limited scope and let real users complete a complete work task to verify whether the application is useful, willing to use it, and worth continuing to invest.
stage outputAvailable prototypes · User feedback · Production plans
- minimum work closed loop
- Real user trial
- Effect and risk assessment
Complete access and meet safe online requirements
Integrate knowledge, agents and workflows into enterprise systems, and establish mechanisms for identity permissions, manual review, effect evaluation, operation monitoring and exception handling.
stage outputProduction application · Governance rules · Acceptance results
- System and data access
- Security authority management
- Measurement and Observability
Drive adoption and replicate the first scenario
Track usage and business indicators, continuously optimize experience and effects, and reuse the connectors, knowledge rules and evaluation standards formed in the project into more processes.
stage outputOperation report · Optimization plan · Scenario reuse assets
- User adoption operations
- Business performance tracking
- Scene expansion and duplication
FDE HOW KUMO DELIVERS AI
FDE is more than just a position;
Rather, Kumo is responsible for the production results.delivery mechanism
Kumo places business discovery, AI product design, Agent and Workflow development, system integration, Tencent Cloud production deployment, evaluation governance and adoption operations in the same chain of responsibility. Customers face a Kumo team working together instead of separate consulting, development, implementation and after-sales suppliers.
business discovery
Identify high-frequency, high-cost business problems with clear and measurable owners.
scene definition
Clarify target users, work tasks, value baselines, data conditions and acceptance methods.
Kumo application construction
The Kumo engineering team develops Agent, Workflow, knowledge base and tool capabilities based on ADP, and forms a verifiable AI application.
Tencent Cloud production access
Kumo connects WorkBuddy, enterprise systems, data and identity permissions, and deploys it to the Tencent Cloud production environment that meets the requirements.
Kumo Evaluation Management
Establish accuracy, stability, security, cost and business effect evaluation, as well as manual review and exception handling mechanisms.
Continued operations expansion
Kumo tracks real user adoption and business effects, precipitates connectors, knowledge rules and evaluation assets, and replicates them to more processes.
ONE TEAM, SHARED OUTCOME
Form a unified team around a business outcome
Kumo FDE is not a one-person station, nor is it sending engineers to the customer site to work independently. Kumo will organize customer business leaders, front-line users, customer technical teams and Kumo product, development, and cloud service personnel to form a joint team to jointly advance with a clear business result.
Customer Business LeaderGoals, priorities and business acceptance
frontline usersReal process, feedback and adoption
Kumo FDEUnify and coordinate problem definition, application construction, Tencent Cloud online and continuous operation
Customer technical teamSystems, data, permissions and security
Kumo Engineering TeamAI products, development, integration and governance
NOT TRADITIONAL DELIVERY
What is the difference between Kumo FDE model and traditional services?
The customer gives the requirements, and the team develops according to the scope, with function delivery and project completion as the main goals.
Kumo FDE: Define the problem together with customers and continuously adjust the application based on real use.Complete configuration, deployment, training, and acceptance around standard products, often without responsibility for business results.
Kumo FDE: Throughout scenarios, applications, systems, Tencent Cloud online and operations, responsible for entering production.Analysis, planning and recommendations are provided, and subsequent construction is often left to another team to complete.
Kumo FDE: After completing business discovery, the same chain of responsibility directly enters development, launch, and adoption.After completing account or platform delivery, customers can solve scenario design, integration and promotion by themselves.
Kumo FDE: Connect WorkBuddy, ADP, Tencent Cloud resources and enterprise processes into a usable system.KUMO FDE SUCCESS SIGNALS
Kumo FDE project does not end with Demo completion
Kumo uses five signals: business, user, technology, operation and replication to judge whether AI has truly entered production.
- Business establishedGoals, owners and metrics are clearly defined
- User establishedReal users are willing to use it and can complete complete tasks
- Technology establishedSystem, data, permissions and security requirements are met
- Operation establishedContinuous evaluation, monitoring, review and exception handling mechanisms
- Copy establishedThe first scenario forms reusable assets and expansion conditions
08 START WITH ONE SCENARIO
Determine a scene first
Is it worth doing?
Choose an AI scenario you are evaluating or already piloting. We'll work with you to sort out business goals, users, data conditions, system dependencies, and validation scope.
After the assessment you will receive
- Scenario priorities and value assumptions
- Critical data and system conditions
- Minimum verification scope
- Main risks of production launch
- Determine whether the next step is worth investing in
Contact Kumo via WeChatScan the QR code to communicate in an AI scenario
After adding, please note the company name, position and business scenario you wish to evaluate.