Workbench Control
Choose the view: open accounts, one collector's queue, or the whole portfolio. The workspace rebuilds around whatever you pick.
The AI Workspace Layer for Enterprise Applications
ERPLens reads across all your systems and shows each person what needs them now.
See how it works
One workspace, start to finish. This is Collections. The other four work the same way.
Account Summary
Everything known about one account, pulled from wherever it lives. Credit limit, available credit, collector, status. No tab-switching.
Balances
Total, past due, current, disputed, on hold. The split that separates what is actually collectable from what is stuck.
Recent Activity
Every call, email, promise and receipt against the account, in order. The context a collector usually has to go asking for.
Ask Lens
Ask in plain English. Why is this account high risk? What changed since last contact? Every answer comes from your own records.
AI Summary
The account in three lines. What is outstanding, what has not happened, and what that means for the risk.
Insights
The signals nobody has time to calculate. Payment trend, credit utilisation, and how many invoices have crossed ninety days.
Every system holds part of the answer. None of them holds all of it.
SAP, Salesforce, Oracle, Workday, ServiceNow. Each one knows something the others do not, and none of them share it in a form your people can use.
Explore Architecture
Connects natively with SAP, Salesforce, Oracle and 50 more.
Built for the work your teams actually do
Five workspaces ready to use. If your function is not one of them, you can build it.
Collections
Aging that updates as it changes, disputes routed to whoever can settle them, and a cash forecast built from what is actually likely to land.
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Approval
Every approval in flight, scored for risk, routed to the right person, and tracked against the time it was meant to take.
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Procurement
Spend, supplier risk and contract compliance in one view, so problems surface while there is still time to act on them.
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Finance
Live P&L, a cash forecast you can interrogate, and a close that shows you what it is still waiting on.
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Executive
The numbers from every function in one place, ready for the review and for the board pack, before either one is due.
Learn moreBuilt on Four Layers of Enterprise Intelligence
Each layer solves a different part of the same problem. Connect the data, map how it relates, reason over it, then act.
Data Fabric
Data Fabric
One live connection to every system you run.
The Data Fabric holds live two-way connections to SAP, Salesforce, Oracle, Workday, ServiceNow, Snowflake and more than fifty other sources. Nothing is extracted, nothing is copied, and nothing arrives late.
- Zero-ETL live connectivity
- Bi-directional write-back
- Schema-aware semantic mapping
- Event-driven change capture
- Federated query execution
- Data lineage and provenance
Knowledge Graph
Knowledge Graph
How your systems relate, written down where software can read it.
ERPLens keeps a living map of your enterprise: the entities, the relationships between them, the policies that govern them and the context around them. That map is what lets the AI answer why something is happening, not only what happened.
- Entity resolution across systems
- Relationship inference engine
- Temporal knowledge versioning
- Policy and constraint embedding
- Cross-domain context linking
- Natural language graph queries
AI Intelligence
AI Intelligence
Reasoning grounded in your business, not in general patterns.
Answers are generated against the knowledge graph rather than from a general model, combined with reasoning tuned to enterprise event and decision logic that behaves the same way every time. The result is an explanation compliance can audit and an executive can act on.
- RAG grounded in the knowledge graph
- Role-aware context injection
- Explainable AI outputs
- Configurable confidence thresholds
- Fine-tuned enterprise reasoning
- Compliance-auditable decisions
Agentic Capabilities
Agentic Capabilities
AI that does the work, not just describes it.
Lens Agents act. They carry it through multi-step tasks, staying inside the policy boundaries you set, and stopping for a person at every decision that matters.
- NLP command interface
- Policy Engine enforcement
- MCP tool integration
- Multi-agent orchestration
- Human-in-the-Loop checkpoints
- Semi-autonomous execution
See ERPLens running on your own systems
Forty-five minutes with your team and our architects. No slides. The live platform, your data schema, and an honest answer on what would work.
What to expect
Stop deciding
on partial data
on partial data
Stop hunting for
numbers before
a meeting
numbers before
a meeting
Run AI agents
inside the policies
you already enforce
inside the policies
you already enforce
Measure the result
from day one
from day one
See it against your own systems
Forty-five minutes with our architects. No slides — your data schema, your systems, and an honest answer on what would work.
Book a 45-minute architecture session