Enterprise AI Implementation

Make AI truly grow into your business

Beyond a generic chat assistant. Our FDEs embed on-site to build deeply integrated, AI-native systems — precise diagnosis, closed-loop optimization, cutting costs and amplifying your team's output, so AI becomes the core asset that wins you the market.

Free AI Diagnosis See how we work

Private deploymentFDE on-site deliverySelf-growing system

TEAM FROM

CLIENTS · IN PRODUCTIONDelivered clients & active engagementsClick a client for the case ↗

What makes it work

Core Value

Native intelligencePrecise & reliableClosed-loop evolution

Value isn't a slogan — it's numbers you can watch live and audit.

6amtech.ai · impactLIVE

Tech spend · last 30 days

80%

Lower tech spend

≈ Replaces an in-house tech team with an AI-native model

12 weeks ago↗ Still climbing

6amtech.ai · roi

Custom systems replace SaaS subscriptions

Software cost saved

65%

Internal operations, automated

Less manual reporting

70%

From monthly reports to live dashboards

Faster decisions

3×

6amtech.ai · agents · failure rate

Last 30 days · lower is better

1.Support Agent0.4%

2.Inbound Agent0.9%

3.Recon Agent0.2%

4.Approval Agent1.1%

→ 12 more Agents are running

6amtech.ai · delivery

Delivered this week

2 days

Fastest go-live

AI-accelerated delivery

20 min

Fastest response

Year-round iteration alongside you

Delivery cadence · last 14 weeks

Why AI Native

Why a native AI architecture?

Bolt-on, patchwork AI can't solve structural inefficiency. Only a workflow redesigned from the ground up can fully unlock what machines are capable of.

Rebuild, not retrofit

Enterprise AI Operating System

One foundation for your whole company to work alongside AI

The Agent Collaboration Platform — privately deployable and highly customizable. Hand repetitive work to agents and give every key role its own dedicated AI, boosting efficiency while saving significant headcount.

Private deployment

Data and processes stay fully inside your company — core assets never leave.

Plugs into existing systems

AI folds into the workflows you already run, instead of starting over.

Company-wide AI

Not AI for a select few — every member works alongside AI.

Scalable architecture

Keep building dedicated agents as you grow — stronger the more you use it.

See what it can do for you

6AM · Enterprise AI OS

Live · 4 AGENTS

workspaceOrgCRMApprovalsInventoryAgents

Sales Inquiry AgentRunning

1,284 · 92%today · solve rate

Contract / Quote AgentRunning

3,902 · 17today · solve rate

Knowledge Search AgentRunning

640 · 5today · solve rate

Approval Flow AgentStandby

128 · 3.1×today · solve rate

Request → Code Agent auto-builds it (self-growing)AUTO-BUILD

What we can do for you

From upgrading legacy systems to building your own AI OS — we plug in at your stage

Free diagnosis — find your entry point →

PLUGS INTO YOUR STACKWorks inside the tools you already use

飞书Salesforce阿里云GitHubLINESlack企业微信AzureGrabNotion华为云SAP钉钉ZoomShopeeGmailSnowflake金蝶FigmaRakutenGoogle DriveMongoDB用友StripeXeroGoogle CalendarDatabricks腾讯文档CloudflareLinearGoogle Cloud简道云JiraConfluenceAsanaClickUpTelegramXAmazon S3Recall飞书Salesforce阿里云GitHubLINESlack企业微信AzureGrabNotion华为云SAP钉钉ZoomShopeeGmailSnowflake金蝶FigmaRakutenGoogle DriveMongoDB用友StripeXeroGoogle CalendarDatabricks腾讯文档CloudflareLinearGoogle Cloud简道云JiraConfluenceAsanaClickUpTelegramXAmazon S3Recall

LOOM · ONGOING · SELF-GROWTH

SELF-GROWING

Skills, knowledge, and workflows — growing themselves.

The model isn't the bottleneck; organizational capability is. We turn the FDE playbook into a system that compounds and evolves on its own.


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Loom · Self-growing systemIn progress

Stop letting FDEs be the bottleneck to scale.

Record, replay and distill a senior FDE's “diagnose → decompose → deliver → iterate” process into reusable agents — so the skills, knowledge and workflows inside your company grow, compound and evolve on their own. People are no longer the ceiling on scale.

Record

Capture real workflows: interviews, recordings, step-level processes — fully preserving how experts judge and act in real environments.

Replay

Turn one-off delivery into reusable workflows and agents — the next company gets it out of the box, auditable and re-runnable.

Distill

Distill expert judgment into agents — from “people do it” to “agents do it, people backstop” — capability compounds with every delivery.

Self-grow

The platform grows with each company: agent reuse keeps climbing, and skills, knowledge and processes get richer the more they're used.

loom · recordrecording

00:02Open CRM, filter high-intent leads

00:14Apply scripts, generate a quote

00:31Push to system, trigger approval

distilled into a reusable Agent

agent · replayAgent replays it

1,284runs · 0 humans

The model isn't the bottleneck — organizational capability is. We turn the FDE methodology into a system that grows itself.

Typical use cases

The three most common entry points — results from day one

Digital storefront upgrade

A full rebuild of your public face, inquiry funnel and online conversion — so customers trust you at first glance.

Site / multilingual rebuildCross-border store & paymentsSEO & inquiry pathsLanding pages / mini-programs

Connect internal systems & data

From data scattered across spreadsheets and chats to a system you can use, see and decide on.

Lightweight ERP / finance / approvalsBreak data silosLive business dashboardsLegacy rebuild

Ship AI into your workflows

Embed AI into daily operations — repetitive work disappears, every key role gets its own AI.

AI support / knowledge baseBulk contract & quote generationAI sales assistApproval automation

Start from your scenario →

Across every industry

From jewelry, funds and material plants to trading platforms and law firms — different industries, one AI implementation methodology

Jewelry brands01

Compliant funds02

Materials / chemical plants03

Quant trading platforms04

Law firms05

Healthcare06

Cross-border e-commerce07

Upgraded the coatings brand site and built an internal ERP for products, orders, inventory and after-sales data.

Outcome

Connected brand presence, internal operations and customer service in one digital chain.

Visit site

quant-platform

Internal system · private

Internal app07

Quant trading platform (private demo)

Built data ingestion, backtesting, live trading and strategy iteration modules to replace scattered scripts.

Outcome

Moved strategy research, validation and execution into one managed platform.

Learn more

chem-erp

Internal system · private

Internal ERP08

Chemical plant ERP

Customized an internal system around formulas, work orders, sampling and raw-material inventory.

Outcome

Consolidated spreadsheets, chats and manual reporting into a traceable data workflow.

Learn more

Share your needs and see similar cases →

Field notes · NOTES FROM THE FRONTIER

Notes from the frontier

What we learn building AI into real operations on-site. Field notes for the work in front of you — not marketing, engineering.

Bolting AI on ≠ Rebuilding around AI

Add-on · AI-Assisted

Bolt AI onto it

Add AI to existing workflows.

10–20% efficiency.

Nothing fundamental changes.

Native · AI-First

Rebuild around AI

Redesign from process to system.

Multiplicative efficiency.

Everything changes.

6AM ⌬

AI-Native rebuild

We built an agent platform. Then the agents rebuilt it.

Six weeks running the platform on the platform: the tool we ship to customers started shipping itself. Autonomy, human oversight, and reviewing code written by the software we built.

MonTueWedThuFri

Delivery reliability

The self-healing agent harness

Our agents detect failures, recover, and keep moving with no human in the loop. The self-healing harness behind every run holds delivery reliability above 99%.

LatestRead all field notes

August 4, 2026 · 9 min readEnterprise AI Agents Stall at the Integration Layer, Not the Model — How MCP Standardization + Data Governance Fix It (2026)August 2, 2026 · 9 min readProduction AI Agent Architecture: 5 Reusable Patterns from DoorDash & Shippy for Shipping Agents to Production August 2, 2026 · 10 min readFrom Model Race to Value Loop: How AI FDE Delivery Drives Enterprise AI ROI in 2026

Trust

Why companies trust 6AM with AI implementation

We do not stop at prototypes. We connect AI to real operations, real systems and real team collaboration. Our core team combines enterprise services, product architecture, AI engineering and security governance. Business × product × engineering × security is what moves AI from concept into production.

Fudan UniversityRice UniversityAmazon AWSTencent CloudAlibaba

Senior enterprise-services expert

Industry veteran · Business architect

A decade-plus of enterprise-services and business-system delivery, serving leading clients in manufacturing, retail and finance. Skilled at finding the real pain in messy operations and designing system paths that actually solve it — knowing the business is what tells you where AI is worth it and where it isn't.

Enterprise servicesBusiness system designLarge-scale platformsDigital transformation

Head of AI Engineering

Silicon Valley background · AI product architect

A Silicon Valley-trained, cross-disciplinary AI expert — former AWS software engineer and former Tencent Cloud product manager, spanning engineering and product. MS in Data Science from Rice University. Deep in LLM applications and AI agent R&D, turning frontier AI from zero to one into enterprise systems that keep running — not just using AI, but knowing how to embed it into real operations and keep creating value.

Silicon ValleyLLM applicationsAI AgentAWS · Tencent Cloud

FDE expert

Solutions architect · Full-stack delivery

Fudan University master's, from the AI infrastructure and applications team of a top domestic tech company, with frontline experience in large-scale model training, inference optimization and productionizing agentic systems. Embedded as an FDE, breaking business needs into deployable solution architectures and delivering full-stack at big-tech engineering standards — not toy demos, but real products that run reliably in production.

FDE embeddingSolution architectureAI engineeringFull-stack dev

AI security advisor

Alibaba security expert · Security project founder

An Alibaba security expert and security-project founder, deep in AI agent security and enterprise security in practice, a core member of a top team in AI agent collaboration. We weigh “secure” and “usable” equally: from data compliance and permission boundaries to controllable agent behavior, every AI product is reviewed through a security lens before launch — so you can embrace AI with confidence.

Alibaba securitySecurity project founderAI agent securityData compliance

FAQ · Answers

Frequently asked questions

View all FAQs

ai-implementation

Should a small business build, buy an agent platform, or hire an FDE to adopt AI?

Decide on two axes: how standard your workflow is, and how much control you need over data, systems, and outcomes. If the work is common and you want to run today, buy a general agent platform (e.g. Nano Work or ChatGPT for small business) — fastest and lowest cost. If your workflow is genuinely unique and you have a stable engineering team, build in-house. If it's complex, needs deep customization, and someone must be accountable for the result, hire a forward-deployed engineer (FDE) to co-build against your real systems. Platforms and FDEs aren't competitors — they answer different questions. Full cost/speed/control/scale comparison: https://sixamtech.ai/blog/enterprise-ai-adoption-path-build-vs-platform-vs-fde

What is MCP (Model Context Protocol), and what does it do for enterprise AI deployment?

MCP is an open, vendor-neutral standard for connecting AI agents to external tools and data sources. Its 2026 stateless revision decouples requests from a single server instance's session, removing a long-standing scalability barrier, and adds enterprise features such as header-based routing, cacheable list results, authorization hardening, and a 12-month deprecation guarantee. Now hosted under the Agentic AI Foundation (part of the Linux Foundation), with contributions from OpenAI, Google, Microsoft, and Amazon, MCP turns bespoke, per-system integrations into a reusable, scalable integration layer — exactly what enterprise agents need to move from pilot to production. Read more: https://sixamtech.ai/blog/enterprise-agent-integration-layer-mcp

Why do most enterprise AI projects fail to reach production?

Most enterprise AI projects fail not because the model is weak, but because of three things: the data isn't connected (the model can't reach clean, real-time production data), there's no scenario with clear ROI (AI is adopted for its own sake), and there's no forward-deployed engineering (FDE) — nobody who understands both the technology and the business and owns the outcome. Fixing these three is what moves AI from an impressive demo to real business return. Read more: https://sixamtech.ai/blog/why-enterprise-ai-deployment-is-hard

What percentage of enterprise AI agent pilots reach production in 2026?

Only about 12%. The 2026 State of AI Agents report finds that 88% of enterprise AI agent pilots never reach production — and that failure-to-productionize rate is a different number from the McKinsey finding that 88% of organizations now use AI in at least one function (an adoption rate, not a production rate). Separately, fewer than 10% of organizations have scaled an agent inside a single function and only 39% see measurable financial ROI. The usual blockers are isolation, identity mapping, secrets hygiene, and an audit trail. Full data breakdown: https://sixamtech.ai/blog/enterprise-ai-adoption-2026-reality-check

Ready to start your company's AI-native evolution?

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6AM TECH

Enterprise AI implementation. Our FDEs embed on-site to grow AI into your business — cutting costs and winning the market.

sales@sixamtech.ai

Products & Services

Company

Legal & Privacy

Offices

Hainan
Shanghai
Hong Kong
Seattle
Palo Alto
Tokyo

Make AI truly grow into your business

Core Value

Why a native AI architecture?

Rebuild, not retrofit

One foundation for your whole company to work alongside AI

Private deployment

Plugs into existing systems

Company-wide AI

Scalable architecture

What we can do for you

Skills, knowledge, and workflows — growing themselves.

Stop letting FDEs be the bottleneck to scale.

Record

Replay

Distill

Self-grow●

Typical use cases

Digital storefront upgrade

Connect internal systems & data

Ship AI into your workflows

Across every industry

Real delivered work

UniX AI

Wanxiang Blockchain

GoPlus

SFS Diamonds

6AM Advisory

Cosmo Coat

Quant trading platform (private demo)

Chemical plant ERP

Notes from the frontier

We built an agent platform. Then the agents rebuilt it.

The self-healing agent harness

Why companies trust 6AM with AI implementation

Senior enterprise-services expert

Head of AI Engineering

FDE expert

AI security advisor

Frequently asked questions

ai-implementation

Ready to start your company's AI-native evolution?

Products & Services

Company

Legal & Privacy

Offices

Self-grow