Dversi connects your ERP, CRM, accounting, and operations tools, builds a knowledge graph across all of them, and lets your teams and agents act on what they actually know.
Once an agent has solved a problem, encode it as a workflow. Same logic. Deterministic output. No tokens consumed on every run. This is where mature operations live.
Dversi's core runs on the Model Context Protocol - the open standard for AI-to-system connectivity. Every agent, every workflow, every connection shares the same governed context layer.
MCP-native connections
Persistent memory
Shared context across agents
Cross-agent coordination
Real-time sync
Audit trails and trace logs
Enterprise identity
Token-efficient by design
Show practical examples of how Dversi agents automate work across different departments and business functions.
Finance — Vendor invoices, reconciled automatically.
Your Finance Agent captures incoming invoices, matches vendors, maps GL accounts, and posts entries flagging only what needs review. The rest runs hands-free.
Marketing — From raw data to full-funnel content clusters.
Your Marketing Agent identifies winning SEO clusters, creates long-form content, distributes across channels, and tracks performance in real time “all while keeping your brand consistent”.
Sales — Lead qualification that never sleeps.
Your Sales Agent captures inbound leads, enriches them with CRM data, runs initial discovery, and schedules meetings—surfacing only high-intent prospects.
Customer Support — Instant resolutions through unified context.
Your Support Agent resolves tickets using live data, user history, and docs—escalating only complex cases with full context.
Operations — Multi-agent workflows for legacy systems.
Your Operations Agent connects LLMs with legacy software, orchestrating multi-step workflows across silos—ensuring consistency at scale.
Show practical examples of how Dversi agents automate work across different departments and business functions.
Your Finance Agent captures incoming invoices, matches vendors, maps GL accounts, and posts entries flagging only what needs review. The rest runs hands-free.
Your Marketing Agent identifies winning SEO clusters, creates long-form content, distributes across channels, and tracks performance in real time “all while keeping your brand consistent”.
Your Sales Agent captures inbound leads, enriches them with CRM data, runs initial discovery, and schedules meetings—surfacing only high-intent prospects.
Your Support Agent resolves tickets using live data, user history, and docs—escalating only complex cases with full context.
Your Operations Agent connects LLMs with legacy software, orchestrating multi-step workflows across silos—ensuring consistency at scale.
The difference isn't the number of integrations. It's whether the system builds context across them — or just passes data between them.
Dversi helps teams do more, faster — with zero friction.
Every integration in Dversi is an MCP server. Add your own — paste a docs URL and Dversi generates a production-ready server with managed auth and full API knowledge. No custom connectors to maintain.
All agents operate on the same context layer. What your Finance Agent learns, your Ops Agent can see. No siloed integrations. No re-fetching the same data twice.
Your agents remember. Vector search across conversations, document history, and structured data. Context survives sessions, so users don't repeat themselves and agents don't start cold.
Deterministic workflows run with zero AI inference. Agents use context from the knowledge graph rather than re-querying every system on every request. Less cost. More accuracy.
Every agent action is logged. Every workflow step is traceable. Every decision has a reason attached. Compliance teams get visibility. Engineering teams get debuggability.
SSO, SCIM, role-based access, and granular permissions. Your agents act within the boundaries your IT team defines — enforced at the protocol level, not bolted on afterward.
The difference isn't the number of integrations. It's whether the system builds context across them — or just passes data between them.
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