Make Huihuo Agent understand your industry, follow your rules,
and remember your team
A general-purpose LLM is brilliant out of the box — yet it knows nothing about your business. Huihuo Agent feeds it industry knowledge, encodes your team's workflows, connects MCP tools, and accumulates long-term memory — turning a generic model into an Agent as reliable as one of your own employees.
A general LLM is smart, but it doesn't know "you"
The ceiling of a general-purpose model is never the model itself — it is that "it has no idea what is happening inside your company." The out-of-the-box gap usually shows up in these four ways.
No grasp of industry terminology
Say "the outbound order needs a second approval" and it thinks you are talking about logistics; ask it to "run the monthly DSO" and it thinks you are asking about astronomy. Without an industry KB, it is just a bystander.
Ignores team conventions
You require "every function header to carry an @owner comment," but it insists on @author; you require "run unit tests before committing," and it simply forgets. Without workflow rules injected, it is a rookie every single time.
Forgets the context
It edited three fields for you yesterday, and tomorrow it has forgotten everything. Explaining it all over again is like onboarding a new intern every day. No long-term memory, no team knowledge to build on.
Tools that aren't grounded
It can only chat — it cannot query the Odoo database, call internal APIs, or open Jira tickets. Without an MCP tool layer, it is all talk: pleasant to listen to, but unable to get anything done.
Huihuo Agent: turn a general LLM into your team's "senior employee"
We don't sell "a bigger model" — we sell the engineering system that "makes a small model genuinely useful."
① Industry knowledge injection
Distill your industry's SOPs, contract templates, chart of accounts, glossaries and historical documents into a structured KB, then inject it into every conversation via RAG and context compression.
② Workflow conventions
Encode your team's Git commit standards, coding style, test gates, PR templates and release process into Agent Rules + Skills, and enforce them.
③ MCP tool integration
Connect Odoo, Jira, GitLab, Feishu, DingTalk, Kingdee, ERP and 30+ other internal systems, so Huihuo Agent can read and write — not just "chat."
④ Long-term team memory
Every employee, every project and every decision accumulates into searchable team memory. When a new hire arrives, the Agent automatically brings the "organizational common sense" along.
⑤ Intelligent routing
Simple tasks go to lightweight models (Haiku / Glass 7B), complex tasks to Sonnet / Opus. The model is selected automatically by task type, cutting costs by up to 70%.
⑥ Governance and replay
Every conversation is logged and every tool call is auditable. Behavioral evaluation, red-team drills and replay simulation — enterprise-grade AI governance starts here.
A 5-step method · from pilot to deep enablement
Consolidate
Take stock of existing knowledge: documents, SOPs, historical conversations, databases. Deliverable: a "Knowledge Asset Inventory."
Inject
Convert knowledge assets into KB / Skill / Rule / Prompt. Local vector store, on-premise deployment, nothing leaves the enterprise.
Evaluate
A/B test the baseline vs. the enhanced Agent on real tasks. Deliverable: a report on accuracy, hallucination rate and tool success rate.
Replay
Replay real production conversations daily to surface new knowledge gaps and rule loopholes. Inject incremental updates every week.
Persist
Team memory, employee profiles and project context keep accumulating for three months. The Agent begins to behave "like a veteran employee."
3 types of organization · 3 ways to enable
The same enablement system grows into different forms of Agent in different organizations. The core logic never changes: teach it "your business."
Choose by depth · iterate monthly
All enablement data is local by default — the knowledge base, vector index and team memory all live on your own servers. We provide the tooling; we never touch the data.
Small teams / solo studios
Enable one core scenario (e.g. customer service, coding or documentation) into a usable Agent.
- 1 business scenario
- 1 MCP tool integration
- Basic KB (50 documents)
- Lightweight team memory
30–300-person enterprises
3–5 core scenarios · full-dimension enablement · noticeable improvement from day one.
- 5 business scenarios
- 10+ MCP tools
- Industry KB (300+ documents)
- Enforced workflow conventions
- Cost reduction via intelligent routing
Industry clients / groups
Industry-specific models · organization-wide memory · closed-loop governance · red-team drills.
- Organization-wide Agent matrix
- LoRA / industry fine-tuning
- Red-teaming + audit
- Model evaluation dashboard
- Year-round operational support
Start with a free enablement diagnostic
See how far your organization is from an Agent that actually works
We send 1 AI engineer and 1 business consultant who spend 2 hours mapping your organization's knowledge assets, process conventions and tech stack, then deliver an "Agent Feasibility Diagnostic" — which scenarios can be enabled, how long it will take, and how much leverage it will bring.
Request an enablement diagnostic →Frequently Asked Questions
What does Huihuo Agent Enablement & Customization do?
It turns a general-purpose LLM into your team's senior employee: industry knowledge injection, workflow orchestration, MCP tool integration, long-term team memory, safety guardrails and continuous evaluation.
Which teams is it for?
It suits teams already using LLMs but seeing inconsistent results, who need to operationalize AI into real business processes.
How do we get started?
Contact Qingdao Huoyiwu (phone 18554898815, email support@huo15.com) to obtain an Agent customization and tuning proposal.