HomeParticipant 03 · ENTERPRISE

Participant 03 · ENTERPRISE

Turn real enterprise demandinto validated AI solutions

From business diagnosis, industry proposition, project matching to PoC verification and implementation cooperation, we establish a closed loop of external innovation and internal transformation for enterprises.

Enterprises and project teams jointly evaluate AI solutions
FRAME / ENTERPRISEEnterprises and project teams jointly evaluate AI solutions
1–2 weeksRequirements diagnosis
3–5Candidates
4–8 weeksPoC verification
1 setImplementation route
01 / OVERVIEW

Enterprises do not lack AI tools, but lack the mechanism from problems to results.

CLAWTIME helps enterprises transform the vague "want to do AI" into measurable, pilotable, and purchaseable business propositions, and select suitable OPC and implementation teams from the project pool.

All cooperation starts from business goals, data boundaries, user processes and success indicators, first verifying the value with a small-scale PoC, and then deciding on expansion and long-term implementation.

01A / IN ACTION

From Method to Real-World Action

Each role enters the acceleration system through specific actions: building, validating, reviewing, connecting, and bringing feedback back to the next round of execution.

Enterprise team organizes AI workflow in control center
DIAGNOSE / process diagnostics

Let’s look at business processes first, then talk about models and tools

Identify the most validating AI opportunities from high-frequency actions, decision nodes, data boundaries, and cost structures.

Enterprise engineers and AI project teams deploy PoC
POC / on-site verification

Validate value and implementability in real-world environments

Let business leaders, implementation teams and front-line users jointly define success indicators, and use small-scale pilots to quickly review.

02 / MODULES

Four ways for enterprises to cooperate

Each module has clear outputs, review nodes and next steps to ensure that the content actually enters project execution.

01

AI needs diagnosis

Sort out high-frequency, high-cost and high-value processes and formulate priorities.

  • process interview
  • opportunity map
  • ROI hypothesis
02

Industry proposition release

Turn business problems into public or targeted recruiting challenges.

  • proposition explanation
  • Filter criteria
  • data boundaries
03

Project matching and PoC

Screen candidate projects, organize reviews and manage the verification process.

  • Program review
  • PoC management
  • Result review
04

Internal innovation acceleration

Train business backbones to use Agent to reconstruct processes and form projects.

  • Talent training
  • Internal Hackathon
  • Results road show
03 / PROCESS

From requirements to implementation

From entering the platform to producing results, every step has a responsible person, standards and reusable deliverables.

01
STEP 01

Business Discovery

Confirm goals, processes, users, data and compliance requirements.

Deliverable: Need medical certificate
02
STEP 02

Proposal and Recruitment

Define success metrics and invite submissions from matching projects.

Deliverable: Candidate project pool
03
STEP 03

PoC verification

Test business value with small-scale real data and processes.

Deliverable: Verification results
04
STEP 04

Implement and scale

Form procurement, integration, training and iteration plans.

Deliverable: Scale route
04 / WHO IT IS FOR

Suitable for these enterprises

  • +Hope to implement AI in sales, customer service, knowledge base or operations
  • +Have clear business leaders and open pilot scenarios
  • +Hope to establish an external innovation project pool or supplier ecosystem
  • +Need to train internal AI product managers and business innovation talents
05 / DELIVERABLES

Business gains

01AI opportunity and priority map

02Publishable industry propositions

03Candidate project review report

04PoC scope and success metrics

05Pilot results and ROI review

06Implementation, procurement and scaling recommendations

06 / FAQ

Frequently Asked Questions

If you have more specific time, region, cooperation or confidentiality requirements, you can state them directly in the application.

01Can I sign a confidentiality agreement?+

Yes. Collaborations involving internal data, processes and business information can establish confidentiality and use boundaries before a project is launched.

02Do companies need to open up real data?+

Depends on the stage. Desensitized or simulated data can be used in the early stage, and then gradually opened according to compliance requirements after entering the PoC.

03How to ensure project quality?+

The platform screens based on project files, technical review, industry matching and stage milestones, and companies retain the right to make the final choice.

APPLY / CONNECT

Publish an enterprise AI proposition worth solving

Tell us your business goals, current processes, key pain points and expected time, and we will arrange a needs diagnosis.

opc@clawtime.ai