Don't know what to do next after private deployment of a group large model? Kailing Technology's AI digital employee implementation methodology, covering everything from pilot to scale replication

I. After deploying the large model, where exactly is the next bottleneck?

Many group enterprises fall into a state of "foundation but no output" after completing private deployment of large models: MaaS is built and the agent repository exists, but they do not know which scenario to start with, how to hand business processes to AI, how to ensure quality, how to list compliantly, or how to operate after go-live. Essentially, what is missing is not technology, but a repeatable implementation methodology for turning large models into job productivity.

II. Four-phase implementation methodology: every step has standard actions and deliverables

Phase 1 · Business scenario communication

Business experts describe the scenario, our side records and breaks it down (process / inputs and outputs / rules / exceptions / human-machine collaboration points), both parties review together and the business department signs off, producing the four-piece "Scenario Definition Document" set. The customer only needs to assign 1-2 employees most familiar with the business to sit with us for 3 days, with no interruption the rest of the time.

Phase 2 · Development execution

Four actions turn human experience into work AI can do:

① Let AI understand business processes:Screen recording of business staff + large model parsing each step, turning experience into executable processes;

② Let AI know whom to ask:Connect to the enterprise's existing large models and call agents to handle the "thinking" part, reusing the enterprise's AI assets;

③ Let AI know where it must stop:Mark "human-in-the-loop" nodes, where key approvals must be confirmed by a person, mainly assistive and not replacing decisions;

④ Let AI test itself:Run the sandbox 100 times and only go live with a 99% pass rate, with the error rate written into the SLA.

Key differentiators:Step ②: Directly reuse the enterprise's MaaS — "understanding + reasoning" capabilities rely not on service providers but on the enterprise's own models. Customers only need to enable access permissions for the pilot system.

Phase 3 · Application listing

Strictly follow the group's established integrated process, with all five nodes compliant throughout and responsibilities assigned to departments: script submission → group review → functional assessment → security assessment → listing monitoring.

Enter the enterprise app store / personalized workspace:After listing, it immediately appears at the unified entry point;

Business staff subscribe and use immediately:Subscription → automatic permission binding → immediately available, no secondary IT configuration required;

Backend health monitoring:Real-time anomaly alerts, with closed-loop and traceable issue resolution.

Phase 4 · Operations monitoring

Delivery is not just "go-live", but "go-live + operational": officially activate and configure usage permissions and operating cycle → enter the monitoring dashboard (health/success rate/alerts/business value) → collect feedback within 1 week of trial, respond with fine-tuning within 48 hours → document the "Position × Employee User Manual", with one-click inheritance for similar positions thereafter. Customer cooperation required: none, turnkey delivery.

III. Three-stage construction path: 9 months, 90 digital employees

Summarize the path in one sentence:Zero-cost pilot validation → methodology-based batch replication → full group coverage. First use one genuinely usable employee to prove value, then replicate in batches with the methodology, and ultimately achieve full group coverage.

IV. Why choose Kailing Technology to take on the project? 4 core advantages

Common Questions FAQ

Q: We just deployed a large model; how soon can we see the first result?

A: The pilot breakthrough period generally takes 2-3 weeks to launch 1 genuinely usable AI digital employee, and this stage is free of charge, first running through the full process and validating value.

Q: Is the pilot really free? What do we need to bear?

A: Phase 1 pilot is free of charge, and the AI digital employee belongs to the enterprise. The customer only needs to assign 1-2 employees familiar with the business to cooperate for 3 days and enable pilot system access permissions; Kailing handles the rest.

Q: How long does it take to implement 90 digital employees, and how is it done?

A: Proceed along the "90 employees in 9 months" path: pilot 1 in 2-3 weeks, replicate to 10 in 2 months, and cover 90 standardizable group positions in 6 months.

Q: How are listing and security compliance ensured?

A: Phase 3 strictly follows the group's integrated process through 5 nodes: script submission, group review, functional assessment, security assessment, and listing monitoring, with full compliance and responsibility assigned to departments.

Q: What if no one manages it after go-live?

A: The operations monitoring stage provides a health dashboard, 48-hour response fine-tuning, and the accumulation of the Position x Employee User Manual, achieving "launch + operate," with turnkey delivery.

After the large model is deployed, the next step is methodology—Kailing Technology helps you turn the foundation into 90 AI digital employees, from zero-cost pilot to full group coverage：www.kailingteck.com 。

Kailing TechnologyAs a comprehensive business-finance-tax digitalization solution service provider, we provide business-finance-tax management digital transformation products and operational services for various government agencies, institutions, and large, medium, and small enterprises. The product line includes:

Sales contract management system, procurement contract management system, fully digitalized Leqi interface project, output automatic invoicing system,Reverse invoicing system,Solutions for the invoice issuance for individuals system, employee expense control and reimbursement system, input VAT invoice management system, supply chain collaborative reconciliation system, image AI OCR recognition system, automated financial bookkeeping system, electronic accounting archives system, and other businesses, comprehensively advancing the digitalization process across various fields.

If you have any business-finance-tax digital transformation needs, welcome to contact us. Beijing KailingKailing TechnologyWe will serve you wholeheartedly.

Keywords：Large model private deployment · Implementation methodology · AI digital employee development · Pilot · Scale replication · Scenario definition document · Human-in-the-loop · SLA · SASAC benchmark case