Veritiana
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Verified operational notes for AI agents

Turn raw operational input into verified business output.

Veritiana SourceNote converts voice notes, field observations, service records, meeting context and stock-related notes into structured reports, tasks, customer messages and audit-ready records.

Capture
voice / text / event
Verify
missing data check
Output
report / task / email
SourceNote Runtime
Agent workflow
controlled
Input: “Customer reported noise. Replaced filter. Need follow-up next week.”
Agents: structure, detect missing fields, prepare report, create task, draft email
Output: service note, next action, customer summary, internal record
Validation
Before output

The system checks whether date, customer, asset, action, responsible person and next step are present.

Business record
Audit-ready output

Every generated note can store sources, status, confidence, missing fields and final approval state.

Why it matters

Operational knowledge is lost because it stays unstructured.

Technicians, salespeople, warehouse users and managers already know what happened. The problem is that this knowledge is captured late, inconsistently or not at all. SourceNote turns it into a structured business asset.

Faster capture

Users can capture information immediately from voice, quick text, mobile forms or system events.

Missing data detection

The Check Agent detects gaps before a report, task or customer message is finalized.

Standardized records

Every output follows the same business structure instead of depending on individual writing quality.

Low-cost automation

Structured templates, scoped retrieval and task-specific agents reduce unnecessary token usage.

Workflow

From source note to verified output.

SourceNote is not a generic writing assistant. It is a controlled operational pipeline with clear states and auditable output.

01

Capture

Voice, text, mobile form, meeting summary or system event.

02

Structure

Extract customer, asset, location, event, action, issue and next step.

03

Validate

Detect missing fields and unsupported claims before approval.

04

Generate

Create report, email, internal note, task or structured JSON record.

05

Approve

Human confirmation where business risk requires review.

06

Log

Store status, source, confidence, task links and audit history.

Agent model

Small specialized agents instead of one uncontrolled prompt.

Each agent has a narrow responsibility. This makes the workflow cheaper, easier to audit and safer than open-ended text generation.

Capture Agent

Receives voice, text or operational event and prepares normalized input.

Extraction Agent

Identifies entities, actions, quantities, dates, people and business context.

Check Agent

Checks missing fields, contradictions and risky unsupported statements.

Output Agent

Creates the final report, email, task, follow-up or structured system record.

Use cases

Where SourceNote creates value.

Field service

Technician notes become service reports, customer summaries, follow-up tasks and internal records.

Stock and operations

Warehouse observations, stock exceptions, delivery issues and process notes become structured operational records.

Sales and meetings

Meeting notes are converted into action items, customer recap, CRM-ready summaries and next steps.

Business value

Why companies should use it in the AI era.

Knowledge becomes reusable

Operational experience stops disappearing in phone calls, chats or incomplete notes. It becomes searchable, structured and reusable for future decisions.

Less admin work

People can focus on the real work while SourceNote prepares the formal record, follow-up and communication layer.

Better management visibility

Structured notes expose repeated issues, missing data, delayed actions and recurring customer problems.

Safer AI adoption

AI is used inside a controlled workflow with validation and audit logs, not as uncontrolled free-form text generation.

Start with one workflow

Convert operational notes into a reliable business system.

Deploy SourceNote first for service reports, stock exceptions or meeting follow-ups. Expand later into Answer Engine and Signal when the source layer is ready.

MVP scope
First deployment
1. Define note template
Service, stock, meeting or operational workflow.
2. Configure required fields
Customer, asset, date, action, owner, next step.
3. Connect output
PDF, email, CRM, task board, ERP or JSON API.
4. Start controlled AI workflow
Generate only from captured and validated context.