Platform / Multi-Agent System

A team of AI specialists, not a single bot trying to do everything.

Most AI platforms give you one model behind one interface. Ask it anything, get a generic response. Hapax takes a fundamentally different approach: a system of specialized agents that collaborate with each other and with your team.

Text agents handle async research and document work. Voice agents have real-time conversations. Workflow agents orchestrate multi-step processes across tools. Specialist agents bring domain expertise for compliance, finance, sales ops, and more. They coordinate, delegate, and peer-review each other's work.

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T

Text Agent

Async research, writing, analysis, data processing

V

Voice Agent

Real-time conversations, meetings, live interactions

W

Workflow Agent

Multi-step process orchestration across tools

S

Specialist Agent

Domain expertise: compliance, finance, sales ops

Every agent type, explained

Text Agents

The workhorses of asynchronous operations. Text agents handle everything from deep research and document analysis to report generation, data processing, and written communication. They work in the background, processing large volumes of information while your team focuses on high-judgment tasks.

Unlike a generic chat model, each text agent is specialized for its domain and draws from the World Model for complete business context. A deal review agent knows your qualification criteria, your pricing tiers, and your competitive positioning. A compliance document agent knows your regulatory framework and the specific language your examiners expect.

Research & analysisDocument generationData processingEmail draftingReport creation
Text agent performing deal analysis with CRM context
Voice agent in a live customer onboarding call

Voice Agents

Real-time conversational AI that goes far beyond scripted phone trees. Voice agents participate in meetings, handle customer calls, conduct interviews, and facilitate live interactions with natural speech and full business context from the World Model.

A voice agent conducting a customer onboarding call knows the deal history, the customer's specific requirements, the implementation timeline, and the team members involved. It's not reading a script. It's having an informed conversation with the same context a senior account manager would have.

Customer callsMeeting participationLive Q&AOnboarding conversationsStatus updates

Workflow Agents

The orchestrators. Workflow agents coordinate multi-step processes across tools and teams, connecting actions into automated pipelines. When a business stimulus triggers a chain of reactions, workflow agents ensure every step happens in the right order, with the right data, involving the right people.

A deal-close workflow agent responds to a 'Closed Won' event by triggering onboarding setup in your project management tool, creating billing records in your finance system, notifying the customer success team in Slack, and scheduling the kickoff meeting. Every step draws from the World Model's understanding of your specific process.

Cross-tool orchestrationEvent-driven pipelinesConditional routingParallel executionError handling
Workflow agent orchestrating a deal-close pipeline across 5 tools
Compliance specialist agent reviewing regulatory documentation

Specialist Agents

Domain-specific expertise, trained on your processes. Specialist agents combine the deep knowledge of the World Model with domain-specific capabilities: compliance frameworks, financial modeling, sales methodologies, customer success playbooks, and more.

Your compliance specialist agent doesn't just know regulatory requirements in general. It knows YOUR specific regulatory environment, the findings from your last exam, your remediation timeline, and how your team documents compliance evidence. It's the difference between a generic consultant and a 10-year veteran of your organization.

Compliance & regulatoryFinancial analysisSales operationsCustomer successHR & people ops

The real power: agents working together

Individual agents are useful. But the system becomes transformative when agents collaborate. They divide complex tasks, delegate to each other based on expertise, and peer-review each other's outputs before delivering to your team.

Example: preparing a quarterly business review

01
Workflow Agent

Detects the QBR trigger (30 days before quarter-end) and kicks off the preparation pipeline

02
Research Agent

Pulls performance data from CRM, support tickets, and usage analytics across all customer accounts

03
Financial Agent

Builds revenue analysis, churn metrics, and expansion pipeline forecasts

04
Analysis Agent

Identifies trends, risks, and opportunities across the data from the research and financial agents

05
Review Agent

Peer-reviews the analysis for accuracy, completeness, and consistency with previous QBRs

06
Comms Agent

Drafts the executive summary and presentation, using your company's voice and formatting standards

07
Your team

Reviews the finished output, makes final judgment calls, and presents to leadership

Watch multi-agent collaboration in real time

See how multiple specialized agents coordinate on a complex task, from initial trigger to finished deliverable.

Multi-agent collaboration: agents dividing, executing, and reviewing a complex task