Governed execution for enterprise agents — across any stack
Connect an AI agent to your real systems safely, control what it can do, and prove every outcome with evidence.
Connect Any System
OpenAPI + Salesforce connectors today (extensible framework for more systems)
Deploy Anywhere
Our cloud, customer cloud, or on-prem (hosted or local LLM options)
Flexible Integration
Consume via Chat UI or embed via Inbound API in your own app/channels
One Interface Across Systems
One governed UI and policy layer without buying separate AI add-ons for every system
The Problem
Enterprises run on multiple systems — but agents can't operate safely across them in production.
Customer data lives across CRM, Order Management / Shop, ITSM, and Knowledge Bases — not in one place.
User asks: "Show my customer details, latest orders, open tickets, and return policy."
Reality: Customer details are in CRM, orders in the shop, tickets in ITSM, and policies in a knowledge base.
Then the user asks: "Start a return."
What breaks today
  • Answers are incomplete because data is split across systems
  • Tools are over-permissioned → security blocks rollout
  • Tool execution is inconsistent → wrong or partial results
  • Actions are unsafe without structured validation
  • No evidence trail → ops can’t debug or prove what happened
  • Teams end up buying and managing separate AI tools and add-ons across systems
What enterprises need
  • A unified answer assembled from all relevant systems
  • Least-privilege access (only the endpoints and scope required)
  • Deterministic workflows for key reads and all writes (writes validated)
  • Audit-ready evidence for every outcome
  • One interface + one governance layer that works across systems
Real outcomes with guardrails
  • Multi-intent question and answer
  • Return order recipe with deviation
  • System flow for what happened inside the platform (multi-intent question and answer)
System Examples
Multi-intent question and answer
Return order recipe with deviation
Flow of what happened inside the system for multi-intent question and answer
What Zurro.ai Does
Zurro.ai is the control layer between agents and your systems.
It enables enterprises to deploy agents that can:
Answer accurately
Using live system evidence + approved knowledge
Access safely
Via least-privilege endpoints and identity scoping ("my data only")
Execute reliably
Using deterministic recipes for repeatable workflows
Prove everything
With an Inspector trace (what ran, why, and the evidence)
One UI + one API surface
Use the Chat UI for teams, or embed via the Inbound API into your own app/channels

No stack change: works across CRM, service, commerce, warehouse, knowledge bases, and custom APIs.
How It Works
From intent to evidence in five steps
Understand
Parse a message into 1–N requests (intents)
Decide
Use a recipe if available; otherwise read-only auto-discovery (Discovery or Recipe)
Execute
Call only permitted systems and endpoints (allowed endpoints)
Respond
Unify results into one human-readable answer (grounded summary)
Prove
Inspector trace + evidence for auditability (every decision)
Key capability: Unlimited cross-system fanout assembles one complete, grounded response — spanning as many systems as needed in a single interaction.
Two Engines + Learning Loop
Safe coverage for new questions, repeatable workflows for what matters
Engine A — Auto-Discovery (Adaptive Reads)
  • Handles questions without a predefined workflow
  • Read-only by design, governed and evidence-backed
  • Pulls data across multiple systems to build a complete answer
Engine B — Recipes (Deterministic Workflows)
  • Repeatable "exact actions" for reads and writes
  • Removes guesswork: the same request triggers the same steps every time
  • For writes: schema → validation → execute → full audit trace
The Learning Loop (Discovery → Recipe)
01
Auto-discovery produces full traces
02
The Learner proposes recipe candidates from successful discovery traces
03
Admins approve and fine-tune → promote to production
04
Result: fewer surprises, faster execution, more reliable outcomes over time
Product Pillars
Connect • Discover • Control • Execute • Observe
Connect
OpenAPI systems + Salesforce (extensible connector framework)
Discover
Auto-discovery answers new questions across systems safely (read-only)
Control
Endpoint allowlists + identity scoping + secrets vault
Execute
Recipes for repeatable workflows (reads + writes); all writes run via validation
Observe
Inspector traces: calls, outputs, evidence, audit trail
Micro-service architecture
Ways to Consume
Use Zurro.ai where your users already are
Chat UI
Launch a governed agent experience immediately
Inbound API
Embed into your own product, portal, or channels (web, mobile, contact center, etc.)
Use Cases
Customer Ops / Service workflows across multiple systems
Customer 360
Profile + orders + tickets + entitlements + policy grounding
Self-serve "my data only"
Order status, returns eligibility, ticket status
Validated writes
Create a case/ticket, update address/contact fields
Cross-system workflows
"Start a return" → create return record → get return ID → create service ticket with return ID → confirm outcome
Deployment Options
Built for enterprise reality
Zurro cloud
Fastest time to value
Customer cloud (VPC/VNet)
Meet security and data residency needs
On-prem
For regulated environments
Model flexibility
Hosted or local LLM options, depending on deployment requirements
Proof & Operability
Audit-ready by design
  • Inspector shows: intents → route chosen → calls made → evidence used → outcome
  • Logs support QA, debugging, and compliance review
  • Designed for production operations, not just demos
  • Turn-based human-readable Inspector explanations
Turn based human readable explanation inspector
Contact
Request a demo / talk to the founder
Location: London, UK
Get in touch
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