Product
AI agents for operation workflows.
Each agent reads the documents and data a workflow runs on, applies your rules in code, and hands anything it is not sure about to a person. Accuracy is measured and reported every month.
- Deployment
- Private cloud, on-premise, or hybrid
- Isolation
- Air-gapped available
- Models
- Bring your own, or use ours
- Compliance
- DPDP
Architecture
Models read. Code applies the rules. People handle the exceptions.
- 01
Ingest
Documents, forms, emails and scanned files arrive from the systems you already run, by API call or webhook.
Control point: Your integrations
- 02
Extract
The model reads each document and returns the fields the workflow needs, with a confidence for each one.
Control point: Field confidence
- 03
Validate
Your business rules run as code that returns pass or fail. The same input always gives the same result.
Control point: Deterministic rules
- 04
Score
The agent scores its confidence in the result as a whole and compares it with a threshold your team sets.
Control point: Threshold you set
- 05
Route
Above the threshold, the result moves to the next step in your system. Below it, the work goes to a person with the reason attached.
Control point: Human escalation
Platform
What every agent ships with.
01
Ingestion
CRM, ERP, documents, forms, emails and scanned files, returned as structured data.
02
Deterministic rules
Business logic is written as code, not left to the model.
03
Human escalation
Work below the confidence threshold goes to a person with the reason attached. The agent does not guess.
04
Observability
A live dashboard with the escalation queue, the accuracy score, and the reasoning behind every decision.
05
Integration
Connects over open standards rather than brittle scripts. Work starts when a webhook or API call arrives.
06
Access and audit
Role-based access control, with a full audit trail.
What an agent does
One invoice, start to finish.
An invoice matching agent, step by step. The model reads the document. Code applies the rules. A person sees anything the agent is not sure about.
Illustrative example. Not customer data.
Reads the document
An invoice arrives as a PDF attached to an email. The agent reads every page, including scanned ones.
Extracts the fields
It pulls out the fields the matching rules need, and records how confident it is in each one.
Field Value Confidence Vendor Example Supplies Pvt Ltd 0.99 Invoice number INV-2041 0.99 Purchase order PO-7716 0.98 Taxable value ₹1,00,000 0.99 GST at 18% ₹18,000 0.98 Invoice total ₹1,18,000 0.99 Applies the rules in code
Each rule is ordinary code that returns pass or fail. The same input always gives the same result.
- Purchase order PO-7716 exists and is open.Pass
- Invoice total matches the purchase order amount.Pass
- Quantities match the goods receipt.Pass
- Invoice number INV-2041 has not been paid before.Pass
Scores its confidence
The agent scores how confident it is in the result as a whole, and compares that score with a threshold your team sets. In this example the threshold is 0.95.
Approves or escalates
Auto-approvedINV-2041
Every rule passed and the score is 0.97, above the 0.95 threshold. The invoice moves to the next step in the accounts payable system, with the extracted fields and rule results attached.
Escalated to a personINV-2058
A scanned copy with a smudged purchase order number. That field was read with confidence 0.62, and the score is 0.71, below the threshold. The agent does not guess. The invoice goes to the escalation queue with the reason and the scanned page attached.
Security and governance
Runs inside your environment, under your controls.
You decide where the agent runs, which model it uses, where data is stored, and what ships to production.
Deployment and controls
- Deployment
- Private cloud, on-premise, or hybrid
- Models
- Bring your own, or use ours
- Isolation
- Air-gapped deployment available
- Integration
- Runs inside the systems you already have
- Training data
- No customer data used for training
- Access control
- Role-based, with a full audit trail
- Data residency
- Controls over where data is stored
- Agent deployment
- Controls over what ships and when
- Compliance
- DPDP
Start with one workflow.
Tell us what your team repeats every week. We'll tell you whether an agent can do it.