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Flagship product

Workflow Intelligence —
structured records from the work itself

Workflow Intelligence connects frontline communication with the systems you already run — turning unstructured human input into structured actions, reports, alerts and data flows.

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Official Partner of
Empowered by
Aalto University

The enterprise gap

The enterprise gap

Large companies already run CRM, CMS, SAP, ERP and BI. People still coordinate the actual work outside those systems — in chats, voice notes and photos that nobody re-enters.

Systems are structured. Communication isn't. Workflow Intelligence adds the missing structure without moving anyone to a new tool.

What Workflow Intelligence processes

Two channels in, eleven record groups out

Web app

Record model 11 groups

  • Report identity
  • Job & approvals
  • Worker
  • Client & project
  • Time & attendance
  • Work, rates & units
  • Materials
  • Documents
  • Safety
  • Costs
  • Handover

Client systems

  • Analytics

  • Payroll

  • Scheduling

  • CRM

  • CMS

  • SAP · ERP

How Workflow Intelligence works

Four steps run forward.
The fifth runs back.

  1. Capture

    WhatsApp, voice notes, forms, photos and group chats arrive through native channels and APIs.

  2. Understand

    Intent, language, sentiment, urgency and the action required — read against your domain, not in general.

  3. Structure

    Raw input becomes typed records with IDs, fields, statuses and timestamps that match your schema.

  4. Route

    Records dispatch to CRM, ERP, BI, ticketing or alert channels, each carrying its audit trail.

  5. Measure

    Response rate, turnaround, recurrence, manual effort and risk signals come back live, not monthly.

What the fifth stage measures becomes the baseline the next capture is read against.

Inside the record

A record is not a transcript.

Where a value comes from

Someone on the job

hours
8.0
Worker
approval
Approved
Manager
ppe_missing
none
Safety
client_sign_off
Accepted
Client
invoice_status
Ready to Invoice
Finance

The layer itself

ai_summary
pour clean, crew off deck
AI
report_id
RPT-1042
System
billable_hours
7.5
Calculated

When it does not arrive

One field of the report comes back empty. Six rules decide what happens next — the layer follows the one set for that field.

Ask again
Retry back to capture
The layer answers in the thread the message came from and asks the sender for the one value it is missing — capture runs a second time on the same record.
Block submit
Held nothing routes
The report cannot be closed while the field is open. In the form the worker sees, the field carries an asterisk — the rule is visible before the gap happens.
Manager review
Moves on flagged
The gap is marked for the manager on the approval route the record already travels. Nothing waits for it: the row lands in the systems downstream carrying its flag.
Default
Moves on filled by the job
Nobody is asked, because the job already answers: the project, the work code and the rates it carries fill the slot the moment the record is created.
Allow empty
Moves on counted as open
The field stays open and the record says so. How much of a report is filled is a column on the row, not a promise — a half-empty report is readable as a half-empty report.
Not asked
Moves on not in this form
This job type never asks for it, so there is no gap to explain. The same form, set up for another kind of work, would put the question back.

The eight roles and the six rules are what the product defines. The form, the field names and the values above are illustrative — drawn to show where a value goes missing and what each rule then does to the record.

Under the hood

Properties of the layer itself,
not of any one integration.

  • Multilingual by default

    • Transcription
    • Translation
    • Summarisation
    • Search

    Crews write in the language they speak on site, the office reads its own. Set up once, and every stage after capture keeps it.

  • Integration-first

    • REST
    • Webhooks
    • Native connectors
    • RPA fallback

    A system without an API is reached through RPA rather than left outside the scope of the rollout.

  • Real-time

    • Classification
    • Routing
    • Escalation

    Signals are classified and dispatched as they land. A safety report does not wait for a nightly batch.

  • Modular

    • Group Intelligence
    • Flows
    • Call Bots

    Adopt one capability, then the next. Nothing has to go live at once for the first one to pay off.

Use cases

What teams run on it
today.

Twelve scenarios

Drag or scroll

  • Construction daily logs

    Crews submit a short log via WhatsApp; PMs see structured records with photos and locations.

  • Shift handovers

    End-of-shift summaries from line supervisors become OEE-ready records in your MES.

  • Renovation job tracking

    Quotes, change orders and progress photos stay tidy across crews, suppliers and homeowners.

  • Tenant work orders

    Tenant messages turn into tickets in your CAFM with category, photos and an SLA timer.

  • Safety & near-miss

    A short WhatsApp flow puts every incident into your EHS system with an audit trail.

  • Inspections

    Branching checklists with photo evidence, validated against policy.

  • Customer success signals

    Sentiment, churn cues and renewal triggers extracted from customer chats into your CRM.

  • Dealer-network NPS

    WhatsApp surveys to end customers, structured into the OEM system — with detractor escalation.

  • Receipt & invoice capture

    Snap a receipt, get a posted ERP entry — VAT-aware, duplicate-safe, multi-currency.

  • AI inbound triage

    Voice-first AI greets, classifies and routes every call with full transcript and summary.

  • Voice-note tickets

    Field voice notes transcribed and turned into structured tickets.

  • Cross-language teams

    Crews write in their language, the office reads in its own — messages and summaries translated.

Integrations

Plugs into the systems you already run

Structured records land where the work is already managed — no parallel system to maintain.

Enterprise core

  • CRM
  • CMS
  • SAP / ERP
  • Oracle
  • Salesforce
  • HubSpot

Microsoft estate

  • Microsoft 365
  • Teams
  • Outlook
  • SharePoint
  • Power BI

Data & custom

  • Data warehouse
  • Google Sheets
  • API / Webhooks

Security & control

Where the data sits,
and who can reach it.

Hosting
EU region by default, on Microsoft Azure.
Access
Role-based across tenants, teams, projects and integrations — owner, manager, worker, accountant.
Audit
Every signal traceable from capture to the enterprise action it produced.
Compliance
GDPR-aligned by design, EU data residency, contractual DPA.
Encryption
Traffic and stored records are encrypted in transit and at rest; keys held in managed key storage.
Isolation
Each workspace is scoped at the data layer, so one customer never reads another's records.

Frequently asked

Common questions

Is Workflow Intelligence a chatbot?
No. Workflow Intelligence runs on Airfra, the AI infrastructure that connects communication to enterprise systems. It can use chat as an input channel, but it is not a chatbot.
Can Workflow Intelligence process voice notes?
Yes. Voice notes are transcribed, analyzed, and converted into structured records.
Can it work without WhatsApp?
Yes. Workflow Intelligence also takes web forms, uploads and API input. WhatsApp is the channel crews already use, not a requirement.
How fast is implementation?
Typical pilots launch in 2–6 weeks depending on integration scope.

Bring Workflow Intelligence into your operations

Thirty minutes on your own groups and one of your systems — we map a live scenario end to end and leave you a pilot scope.

  • No new app for the field
  • EU data residency
  • GDPR-aligned
  • Runs on top of your current stack