Dversi is the intelligence layer that sits on top of what you already run, connected via MCP, with every decision traced back to what informed it.
The AI Implementation Problem
Most companies buy automation tools that promise transformation and deliver disappointment: operations teams burn out maintaining workflows that break every week, executives quietly admit, after the vendor leaves, that the investment hasn't paid off. Here's the core problem:
Your systems don't share a single view of the customer or case.
Chat tools don't execute across your stack.
Brittle integrations, no shared context, no audit trail.
Anything AI touches must be explainable.
Our Solution
Dversi is the intelligence layer for business systems: a platform that chooses a deterministic step over an AI call whenever the deterministic step is cheaper, faster, and more reliable, and saves AI for the parts of a workflow that actually need judgement. How it works:
Connects to your systems as-is, via MCP, including internal systems on your own infrastructure. No rip-and-replace.
Builds one resolved view across every customer, case, and asset, instead of five systems each holding a partial picture.
Agents and deterministic workflows run your decisioning logic, human-in-the-loop throughout.
Every decision lands on an immutable, append-only audit trail.
We Break Down Complexities To Unlock Business Potential
Now is the Time to Fix this
AI adoption is no longer optional. Regulatory deadlines, board mandates, and the cost of manual work are all landing on the same timeline. And now is the time to figure out the best way to do it.
Boards and regulators are pushing AI adoption on a timeline.
One entity-centric view across policyholder, case, and asset, instead of rebuilding that picture by hand each time.
GDPR and the EU AI Act make ungoverned AI a non-starter.
Legacy replacement is off the table for most enterprises; orchestration on top of what you already run isn't.
AI adoption is no longer optional. Regulatory deadlines, board mandates, and the cost of manual work are all landing on the same timeline. And now is the time to figure out the best way to do it.
The difference
| Capability | Legacy automation | Agentic tools | Dversi |
|---|---|---|---|
| Cross-system knowledge graph | – | – | Yes |
| Entity resolution across systems | – | – | Yes |
| Agents and workflows unified | – | Partial | Yes |
| Governance and audit by default | Partial | – | Yes |
| Keeps your legacy in place | Partial | – | Yes |
GDPR-native and EU AI Act aligned by design, not bolted on afterward. Every consequential decision gets a human approval point and a trail back to what informed it, whether or not a regulator is asking.
AI adoption is no longer optional. Regulatory deadlines, board mandates, and the cost of manual work are all landing on the same timeline.
You don't. Dversi sits on top via MCP; your systems stay the source of record.
Deterministic rules where it matters, judgment where it helps, every decision audited.
Live on the standard workspace from day one, or we build the branded interface if you want one.
Open MCP standard, your data graph is yours, bring your own model keys.
No pitch decks. No demos. Just a conversation about what you're trying to solve.
