WOLFx is building "Cerberus" An Autonomous Business Development Multi Agent System
An autonomous business department using AI Agents for Sales and Outreach
- sales agents
- agentic sales
- autonomous business department
Artificial intelligence is transforming the way companies find and win customers. Modern AI business-development representatives (BDRs) automate repetitive tasks like researching leads, qualifying prospects, and sending outreach messages. These platforms use data-driven insights, natural-language processing, and predictive analytics to identify the right prospects, craft personalised messages, and engage them across email, LinkedIn, and even voice calls.
Industry reports note that AI BDR agents work like virtual assistants that never sleep; they harness data from websites, social media, and CRM systems, use predictive models to score leads, and generate hyper-personalised outreach across multiple channels. The benefits are clear: businesses using these tools see improved conversion rates and can scale outreach without increasing headcount.
Yet, despite these advances, most AI sales tools remain point solutions. They automate slices of the sales process—lead generation, email sequencing, or data enrichment but still rely on humans to orchestrate workflows, manage hand-offs, and protect brand integrity.
Even platforms marketed as “agentic” use multi-agent architectures primarily to handle outbound campaigns and data processing. They often depend on large third-party databases and generic templates; company-specific context is thin, and safety is managed via simple limits on send rates or basic compliance checks.
What’s missing is a system that behaves like a full business-development department: strategic, knowledgeable about the company, creative in its outreach, and guarded by robust safety mechanisms.
Our Ambitious Goals
At WOLFx, we aren’t building just another outreach tool. We’re creating an internal, autonomous AI business-development department, codename Cerberus, designed to find and close new clients on a global scale. Our goals are ambitious:
- 10+ new clients per month with 1–2 high-ticket conversions. We believe an AI team can deliver consistent deal flow by running hundreds of micro-campaigns in parallel.
- Full autonomy with strategic creativity. Our agents operate at autonomy levels 2–3. They self-generate search strategies, design outreach narratives, and adjust timing without waiting for human prompts.
- Human intervention only when necessary. Rather than approval queues, we rely on circuit-breaker triggers. If the system detects a spike in negative replies or budget burn, it pauses itself and alerts a human.
- Scalable parallel outreach. Each agent can pursue many threads simultaneously, and we can spawn additional agents on demand.
- Protect the brand. Hard rules (no spam, no vulgar language, no quoting exact pricing, no promising deliverables) and cluster-specific doctrines ensure that every message aligns with our values.
How Cerberus Works
Cerberus is built on a three-layer architecture that goes far beyond traditional AI BDR tools:
Layer 1 – The Office
This layer hosts the clusters, companies, campaigns, and other core entities. It provides services for locking companies during concurrent research, managing sending domains, and enforcing circuit-breaker rules. Think of it as the administrative backbone—these components are built once and rarely modified.
Layer 2 – The Brain
The heart of the system lives in the agents app. Each agent role (Hunter, Researcher, Outreach, Follow-up, Closer, and Conversation) is defined as a LangGraph state machine. The graphs orchestrate the agent’s process: load the cluster doctrine and knowledge base, decide on the next action, call tools (search, company lookup, message generation, LinkedIn browsing, contact-form submission, memory retrieval), and record results.
- Scratchpad reasoning. Every agent keeps a scratchpad of internal notes—promising companies, reasons for qualification decisions, or messages that resonated. These notes persist across sessions and are shared with other agents working on the same thread.
- Knowledge-base integration. Clusters include a detailed description of WolfX, service catalogues, case studies, pricing guidelines, objection responses, and FAQs. Only relevant sections are injected into a prompt, ensuring agents speak with authority without wasting tokens.
- Circuit breakers. At critical points, agents call a circuit-breaker service. Triggers include volume spikes, bounce rates, negative replies, budget overuse, and domain-health issues. When tripped, the agent pauses itself and notifies a human.
- Autonomy levels and creativity. Hunter and Closer agents run at level 3, giving them strategic freedom to pick keywords, outreach angles, and negotiation tactics. Research, Outreach, and Follow-up agents operate at level 2—autonomous but guided by higher-level strategy. Agents can override soft rules when justified, but hard rules are immutable.
Layer 3 – The Memory
Long-term performance depends on memory and learning. Cerberus maintains two types of memory:
- Cluster memories capture patterns across campaigns—what outreach strategies work for certain industries, how prospects respond to different tones, and which angles lead to successful deals. Memories are weighted and decay over time, encouraging continuous experimentation and preventing stale strategies.
- Thread scratchpads summarise individual conversations. After each exchange, the conversation agent writes a concise summary and stores key notes. When other agents pick up the thread, they have immediate context without rereading hundreds of messages.
How We Differ From Existing Solutions
Many AI sales platforms boast multi-agent architectures, large contact databases, and omnichannel outreach. They promise to run outreach 24/7, deliver conversion rates up to 4–7× higher than manual campaigns, and reduce costs by as much as 70%.
Cerberus takes a fundamentally different approach:
- Internal knowledge, not generic data. Our agents draw from an internal knowledge base tailored to WolfX—company identity, case studies, pricing guidelines, and objection responses.
- Full-funnel autonomy. Cerberus covers the entire customer journey: discovery (Hunter), research and qualification, personalized outreach, follow-up sequences, conversation handling, and closing deals. Agents hand off to humans only when the deal is ready to close.
- Safety through circuit breakers. Instead of throttling send volumes, the system monitors specific risk signals—bounce spikes, negative sentiment, complaints, budget burn, domain health, and duplicate contacts. When a trigger fires, the relevant agent or domain pauses automatically.
- Persistent memory and learning. By saving scratchpad notes and cluster memories, Cerberus learns which strategies work and which fail. Over time it refines its approach and can suggest doctrine updates.
- Creative autonomy. Level-3 agents are encouraged to experiment with new angles and narratives while always respecting hard rules and budget limits.
Where We’re Heading
We’re already implementing the Hunter, Research, Outreach, and Follow-up agents. The Conversation and Closer agents will complete the pipeline, enabling Cerberus to carry out nuanced dialogues and negotiate deals before handing off to humans. Our roadmap includes:
- Integrated multichannel outreach. Agents will navigate email, LinkedIn, and contact forms. Tools for phone outreach and social messaging are on the horizon.
- Adaptive learning. We’ll feed cluster memories back into the doctrine system to refine hard and soft rules based on real-world outcomes.
- Dashboard & escalation alerts. A real-time CEO dashboard will display escalation alerts (meeting requests, pricing discussions, angry replies), along with agent status, circuit-breaker state, and pipeline metrics.
Conclusion
The rise of AI BDR tools shows that businesses can no longer rely on manual outreach alone. Modern AI agents automate prospect research, personalise messages, and improve lead qualification.
However, most of these solutions remain external point tools that lack brand knowledge, memory, and comprehensive safety controls.
WolfX Cerberus is our answer: an internal, autonomous business-development department that combines multi-agent intelligence with a rich company knowledge base, persistent memory, and robust circuit-breaker safeguards. By marrying creative autonomy with strict adherence to hard rules and brand doctrine, Cerberus aims to deliver sustainable client acquisition and long-term relationships.