Knowledge is hard to reuse
Policies, project materials and operational know-how sit across different systems and individuals — slow to search, hard to pass on, and without a reliable citation trail.
Enterprise AI & Agent Engineering
Bringing AI into real
business judgment and execution
We connect scenario identification, technical validation, system delivery and continuous operations, turning enterprise knowledge, business data and existing systems into controllable, usable and iterable intelligent capabilities.
TraceableControllableOperable
Business scenariosKnowledge & dataModels & agentsSystems integrationRuntime governance
What we solve
Enterprises don't lack AI tools —
they lack a path to production.
For organizations with an established business foundation, ready to move AI from isolated trials into real workflows, existing systems and production environments
Processes depend on manual work
Cross-system lookups, document handling, review, judgment and data entry recur constantly, with efficiency and quality riding on individual experience.
AI struggles to reach production
Prototypes demo well, but without permissions, data, system interfaces, evaluation and runtime monitoring they rarely make it into production.
What we provide
Start from one clear problem,
then build complete capability.
Scope can be combined by project stage — there is no requirement to commission everything at once
Scenario identification & validation
Starting from business goals, user roles, data conditions and risk boundaries, we identify the tasks genuinely suited to AI and validate them technically.
Knowledge assistants & intelligent search
We build enterprise knowledge services with traceable citations and tiered authorization, so policies, project files and specialist material can be retrieved accurately.
Document intelligence & data analysis
Document parsing, information extraction, content comparison, synthesis and structured output generation.
Agents & process automation
We connect business rules, tools, interfaces and human approval points so AI can take part in cross-role, cross-system execution.
Deployment, evaluation & operations
Private deployment, model evaluation, runtime monitoring, knowledge refresh and release iteration keep the system usable long term.
Delivery standards
We measure whether a system is genuinely usable,
not whether features are merely finished.
Each standard maps to an inspectable, acceptance-testable engineering deliverable; the exact scope is set by project goals and your environment.
Usable in the business
Designed around defined roles and real tasks, accepted against verifiable business results.
Scenario spec · Acceptance metricsSecure and controlled
Permission isolation, citation traceability, human review and operation auditing bound the model's use.
Permission model · Audit recordsConnectable to systems
Adapts to existing data, APIs, identity systems and business platforms, avoiding another isolated AI tool.
Interface inventory · Integration planSustainably operable
Mechanisms for performance evaluation, anomaly monitoring, knowledge refresh and release iteration.
Evaluation set · Operating modelWhy SIHENGTAINUO
Understand the business first,
then build the intelligence.
We focus on the hardest part of the gap between AI and a real enterprise environment: business logic, data boundaries, system interfaces and long-term operation.
Business analysis comes first
We establish the problem, the objects and the process before deciding between models, agents or conventional software.
Integrated engineering delivery
One team spans AI, data, software and systems integration, closing the gap between proposal and production.
Built for production
Permissions, security, interfaces, monitoring and failure handling are in the first design, not retrofitted after a demo.
Accountable for long-term results
We support post-launch evaluation, knowledge refresh, runtime tuning and release iteration so the system improves with the business.
Project consultation
Clarify the business problem first,
then decide how the system should be built.
Tell us the business problem to solve, your existing systems and the outcome you expect — we usually reply within 1 business day.