Intelligent Multi-Agent Orchestration
Unlike generic, single-prompt chatbots, evo7 leverages a stateful, multi-agent orchestration engine. A central Supervisor routes user intent to specialized, domain-expert agents — each with isolated memory and secure tool access.
Specialized Agents, One Supervisor Brain
Each specialized agent performs distinct roles within the platform, coordinated dynamically by the AI Supervisor which classifies user intent and routes tasks accordingly.
Conversational Lead Agent
Built and in testing — will go live with the full platform. Extracts contact and qualification metrics from incoming customer enquiries. Persists data directly to the CRM.
Sales & Pricing Agent
Built and in testing — will go live with the full platform. Creates, searches, and assigns leads from conversation context, keeping the CRM pipeline moving without manual data entry.
Legal & Compliance Agent
Built and in testing — will go live with the full platform. Audits compliance agreements, vendor contracts, and highlights potential liabilities or risk clauses.
Data Analyst Agent
Built and in testing — will go live with the full platform. Converts natural language analytical queries into secure database queries to compile real-time metrics and charts.
Forecasting Agent
Not available today. Will evaluate historic inventory levels and sales patterns to forecast material demand and workload pipelines.
Finance Agent
Built and in testing — will go live with the full platform. Matches incoming bank ledger statements to outstanding invoices, facilitating automated payment reconciliation.
Support Agent
Built and in testing — will go live with the full platform. Creates, searches, and escalates support tickets automatically, tracking SLA priority and routing breaches to managers.
Audit Agent
Built and in testing — will go live with the full platform. Searches and verifies append-only audit logs across platform databases to support compliance reviews.
Task Agent
Built and in testing — will go live with the full platform. Triggers automated schedule updates and task dependency adjustments in the project pipeline.
Marketing Agent
Not available today. Will analyse campaign engagement, referral conversions, and customer lifetime value to surface actionable marketing insights.
Productivity Agent
Not available today. Will monitor task completion rates, SLA breach risks, and team workload balance to optimise operational efficiency.
Dual-Layer Session Governance
To ensure enterprise-grade security and prevent unauthorized cross-account data leaks, our AI execution strictly splits runtime persistence from session governance.
Governance Layer
Holds persistent, read-only control parameters: API rate limits, user session metadata, and token usage cost tracking. Never accessed directly by AI agent routines.
Runtime Layer
Holds ephemeral agent graph checkpoints, memory logs, and tool cache outputs. Clears automatically via strict TTL parameters once the session resolves.
Semantic Search RAG Pipelines
Our agent reasoning queries isolated vector databases in real-time. This retrieves relevant context (like local operational parameters or specific contract clauses) to augment prompts, so answers are grounded in your own records rather than model recall.
WhatsApp AI Agent Graph
evo7 deploys a dedicated conversational AI workflow over WhatsApp. The WhatsApp Agent Graph enables lead qualification, proposal sharing, payment reminders, and support ticket creation — all within a customer's existing WhatsApp chat.
- Inbound lead capture from WhatsApp conversation flows
- Proposal PDF dispatch via WhatsApp document messaging
- Payment reminder automation on outstanding invoices
- Support ticket creation directly from customer messages
- End-to-end PII-safe session memory with vector database context
AI Governance Framework
Every AI agent invocation runs under strict enterprise governance controls — ensuring cost predictability, data privacy, and regulatory compliance at all times.
API Rate Limiting
Per-organization token budgets enforce maximum AI model call rates, preventing runaway costs and ensuring fair resource distribution across organizations.
Cost & Token Tracking
All agent invocations log prompt tokens, completion tokens, and estimated cost per request to a dedicated audit ledger for financial reporting.
PII Masking on All Logs
Masking filters automatically redact email addresses, phone numbers, and unique identifiers from every AI log entry before database persistence.