Demos

Demos and scenarios: real flows, honest expectations

The published demos show the method with fictional data. The example scenarios explain what we could build if you have a concrete process and data — they aren't finished products.

Discuss your situation See the AI Sprint

Swipe to see more sections →

Note: demos use fictional data and mock mode. Outputs are indicative; professional review is required before acting.

Expectations

What the demos are (and aren't)

Read this before opening a demo: don't mistake a prototype for a finished product.

What a demo shows

A real flow with fictional data
It shows where AI steps in, what it proposes and where a person reviews.
A link to a service you can buy
Each demo leads to an AI Sprint, pilot or implementation with clear deliverables.
Individual and aggregate views
Specific cases plus a batch view (inbox, pipeline, portfolio) where relevant.

What it doesn't show

It's not a finished SaaS
It's a sample flow, not a finished product ready for production.
It doesn't use real customer data
Everything is fictional or mock. Don't enter real information into public demos.
It doesn't guarantee results
Outputs are indicative. Professional review is required.
It doesn't replace professional judgement
AI prepares; people decide and answer to the client.

Available

Available demos

Six flows, live or prototype depending on deployment. Grouped by sector verticals and cross-cutting capabilities.

Vertical demos

Advisory firms, management, estate agencies and agencies: everyday cases in specific sectors.

Demo available

Advisory and accounting firms

Vertical

Problem

Dozens of emails a day: classify, spot missing information, prioritise and reply consistently.

Commercial value

A concrete example for assessing whether an AI Sprint or an Inbox Intelligence System fits.

Open live demo

See flow details

Who it's for

Advisory firms, accountants and professional practices with heavy email volume.

Fictional input

Client email: "I'm attaching last quarter's Form 303 — can you check it and tell me if anything's missing?"

Output shown

Tax classification, missing data flagged, a reviewable draft reply, an internal task and an aggregate view of the weekly inbox.

Related service

Inbox Intelligence System

Low difficultyData risk: Medium

Advisory firms, accountants and professional practices with heavy email volume.

Problem: Dozens of emails a day: classify, spot missing information, prioritise and reply consistently.
Fictional input: Client email: "I'm attaching last quarter's Form 303 — can you check it and tell me if anything's missing?"
Output shown: Tax classification, missing data flagged, a reviewable draft reply, an internal task and an aggregate view of the weekly inbox.
Commercial value: A concrete example for assessing whether an AI Sprint or an Inbox Intelligence System fits.
Related service: Inbox Intelligence System

Low difficultyData risk: Medium

Open live demo

Demo available

Management and intelligent reporting

Vertical

Problem

Hours spent building reports with data across spreadsheets, email and different tools.

Commercial value

A gateway to the Data-to-Decisions Dashboard and training for management.

Open live demo

See flow details

Who it's for

Management teams and those responsible for admin/reporting.

Fictional input

Sales export (CSV), cash balance and a list of open projects with logged hours.

Output shown

Period KPIs, alerts, an executive explanation, recommended actions and a consolidated scenario panel.

Related service

Data-to-Decisions Dashboard

Medium difficultyData risk: Medium

Management teams and those responsible for admin/reporting.

Problem: Hours spent building reports with data across spreadsheets, email and different tools.
Fictional input: Sales export (CSV), cash balance and a list of open projects with logged hours.
Output shown: Period KPIs, alerts, an executive explanation, recommended actions and a consolidated scenario panel.
Commercial value: A gateway to the Data-to-Decisions Dashboard and training for management.
Related service: Data-to-Decisions Dashboard

Medium difficultyData risk: Medium

Open live demo

Demo available

Estate agencies

Vertical

Problem

Leads across multiple channels; inconsistent classification and follow-up.

Commercial value

A starting point for assessing a scoped pilot for CRM-assisted workflows.

Open live demo

See flow details

Who it's for

Estate agencies, small developers and lead-generation salespeople.

Fictional input

"Hi, I'm looking for a 2-bed flat near the centre, up to €220,000, ideally facing outwards."

Output shown

Lead classification, recommended properties, a proposed follow-up, a CRM summary and a prioritised pipeline.

Related service

AI Automation Sprint

Low difficultyData risk: Medium

Estate agencies, small developers and lead-generation salespeople.

Problem: Leads across multiple channels; inconsistent classification and follow-up.
Fictional input: "Hi, I'm looking for a 2-bed flat near the centre, up to €220,000, ideally facing outwards."
Output shown: Lead classification, recommended properties, a proposed follow-up, a CRM summary and a prioritised pipeline.
Commercial value: A starting point for assessing a scoped pilot for CRM-assisted workflows.
Related service: AI Automation Sprint

Low difficultyData risk: Medium

Open live demo

Demo available

Marketing and web agencies

Vertical

Problem

Incomplete briefs: interpreting, assessing, prioritising tasks and preparing an initial proposal takes too long.

Commercial value

Fits with training for agencies and a pilot for assisted proposals.

Open live demo

See flow details

Who it's for

Marketing agencies, web studios and freelancers with varied briefs.

Fictional input

"We have an online shop with traffic but almost nobody buys. We want to sell more without ramping up ad spend."

Output shown

Objectives detected, an initial assessment, an SEO/SEM/content/data checklist, a suggested sprint and a prioritised brief portfolio.

Related service

AI Automation Sprint

Low difficultyData risk: Low

Marketing agencies, web studios and freelancers with varied briefs.

Problem: Incomplete briefs: interpreting, assessing, prioritising tasks and preparing an initial proposal takes too long.
Fictional input: "We have an online shop with traffic but almost nobody buys. We want to sell more without ramping up ad spend."
Output shown: Objectives detected, an initial assessment, an SEO/SEM/content/data checklist, a suggested sprint and a prioritised brief portfolio.
Commercial value: Fits with training for agencies and a pilot for assisted proposals.
Related service: AI Automation Sprint

Low difficultyData risk: Low

Open live demo

Cross-cutting capabilities

Document AI / OCR and Document Copilot: applicable across several sectors.

Demo available

Document AI / OCR

Cross-cutting capability

Problem

Data trapped in PDFs, invoices, contracts or paper forms.

Commercial value

Reduces manual copying, spots missing items and inconsistencies and prepares reviewable exports; we start with fictional or anonymised documents before integrating real OCR.

Open demo

See flow details

Who it's for

Accountants, admin teams, light logistics and back-office.

Fictional input

A fictional document (invoice or contract) with varied fields and some incomplete data.

Output shown

Structured fields, per-field confidence, missing items and inconsistencies flagged, and a review queue before export.

Related service

Document AI / OCR Pipeline

Medium difficultyData risk: Medium

Accountants, admin teams, light logistics and back-office.

Problem: Data trapped in PDFs, invoices, contracts or paper forms.
Fictional input: A fictional document (invoice or contract) with varied fields and some incomplete data.
Output shown: Structured fields, per-field confidence, missing items and inconsistencies flagged, and a review queue before export.
Commercial value: Reduces manual copying, spots missing items and inconsistencies and prepares reviewable exports; we start with fictional or anonymised documents before integrating real OCR.
Related service: Document AI / OCR Pipeline

Medium difficultyData risk: Medium

Open demo

Demo available

Private Document Copilot

Cross-cutting capability

Problem

Knowledge scattered across manuals, procedures, internal contracts and FAQs.

Commercial value

Cuts time spent searching internal information, answers repetitive questions with sources, spots documentation gaps and prepares a real RAG pilot with permissions, citations and human review. The demo uses simulated search over fictional documents: there's no real RAG, embeddings or real documents, and it does not replace legal, tax, employment or technical advice.

Open demo

See flow details

Who it's for

SMEs with dense documentation: admin, operations, HR, management and teams with internal procedures.

Fictional input

"What minimum information should we ask for before issuing an invoice?"

Output shown

A short answer with visible citations, the limits of that answer, human review points and next actions. If there's no evidence, it says so without making things up.

Related service

Private Knowledge Copilot

Medium difficultyData risk: Medium

SMEs with dense documentation: admin, operations, HR, management and teams with internal procedures.

Problem: Knowledge scattered across manuals, procedures, internal contracts and FAQs.
Fictional input: "What minimum information should we ask for before issuing an invoice?"
Output shown: A short answer with visible citations, the limits of that answer, human review points and next actions. If there's no evidence, it says so without making things up.
Commercial value: Cuts time spent searching internal information, answers repetitive questions with sources, spots documentation gaps and prepares a real RAG pilot with permissions, citations and human review. The demo uses simulated search over fictional documents: there's no real RAG, embeddings or real documents, and it does not replace legal, tax, employment or technical advice.
Related service: Private Knowledge Copilot

Medium difficultyData risk: Medium

Open demo

Example scenarios

Example scenarios by sector

Sectors without a public demo yet — designable as a tailored demo or pilot.

These scenarios aren't public demos yet. They can be designed as a tailored demo or pilot where there's a concrete process and data.

Pharmacies

Owner or purchasing/stock manager

Example scenario

Type of data

• Sales by product and category
• Stock, expiry dates and stock-outs
• Supplier delivery notes and invoices
• Health-and-beauty lines and seasonal campaigns

Possible value

• Medicine expiry control
• Stock and stock-out alerts
• Seasonal demand forecasting (where history exists)
• Data-driven health-and-beauty campaigns
• Margin reporting by category
• Data extraction from delivery notes/invoices

Applicable capabilities

Data organised and ready to useAnalysis and executive reportsPrediction and prioritisation (with data)Document extractionAutomation with review

Related demo: Document AI / OCR

First step: AI Sprint

Sensitive health data · No pharmaceutical advice — operations and data only · Prediction only where reliable history exists

Request a demo for this sector See related demo

Restaurants and hospitality

Manager or operations lead

Example scenario

Type of data

• POS and tickets by shift
• Bookings and attendance
• Recipe costings and food costs
• Reviews, delivery and waste

Possible value

• Demand forecasting by day and hour
• Bookings, attendance and no-shows
• Margin by dish or category
• Waste and stock purchasing
• Assisted responses to reviews (with review)
• Average-ticket and seasonality analysis

Applicable capabilities

Analysis and executive reportsPrediction and prioritisation (with data)Generative AI with methodLocation-based analysis

First step: AI Sprint

Heterogeneous POS data · Recipe costings sometimes incomplete · We don't promise to fill tables or draw conclusions without volume

Request a demo for this sector Start with an AI Sprint

Influencers / creators

Content creator or manager

Example scenario

Type of data

• Metrics by platform and format
• Editorial calendar and published content
• Brand contracts and briefs
• Comments and audience feedback

Possible value

• Performance by format and platform
• Editorial calendar and content reuse
• Commercial proposals for brands
• Campaign reporting for clients
• Engagement patterns (where there's volume)

Applicable capabilities

Analysis and executive reportsGenerative AI with methodAutomation with review

Related demo: Marketing and web agencies

First step: Contact

We don't promise viral growth · Platform APIs change · Generative AI without losing your own voice

Request a demo for this sector See related demo

E-commerce

E-commerce lead or management

Example scenario

Type of data

• Orders and returns
• Stock by SKU
• Campaigns and ads
• CRM / customers

Possible value

• Demand prediction
• Customer segmentation
• Conversion dashboards
• Source consolidation

Applicable capabilities

Data organised and ready to useAnalysis and executive reportsPrediction and prioritisation (with data)Automation with review

First step: AI Sprint

ML requires enough history · Platform integrations

Request a demo for this sector See related demo

Local shops

Owner or sales lead

Example scenario

Type of data

• Sales by shop
• Customers and loyalty
• Locations and areas

Possible value

• Geomarketing and catchment maps
• Promotions by area
• Comparative reporting

Applicable capabilities

Location-based analysisAnalysis and executive reports

First step: AI Sprint

Requires geolocated data · Limited volume in small shops

Request a demo for this sector Start with an AI Sprint

Technical services

Operations or field-service lead

Example scenario

Type of data

• Work orders
• Routes and incidents
• Field photos
• Service orders

Possible value

• Incident classification
• Reports for dispatch
• Extraction from paper work orders

Applicable capabilities

Automation with reviewGenerative AI with methodDocument extractionAdvanced models for specific cases

Related demo: Document AI / OCR

First step: Contact

Deep learning only with photo volume · WhatsApp-based processes hard to standardise

Request a demo for this sector See related demo

Clinics

Admin or management

Example scenario

Type of data

• Appointments and schedule
• Billing
• Administrative documentation

Possible value

• Reminders and communication
• Extraction from administrative docs
• Operational reporting

Applicable capabilities

Document extractionAutomation with reviewAnalysis and executive reports

Related demo: Document AI / OCR

First step: AI Sprint

No diagnosis — administration only · Sensitive health data

Request a demo for this sector See related demo

Training academies

Director or academic lead

Example scenario

Type of data

• Students and groups
• Attendance
• Communications to families

Possible value

• Attendance and performance reporting
• Assisted communication
• Notification automation

Applicable capabilities

Analysis and executive reportsGenerative AI with methodAutomation with review

First step: AI Sprint

Protection of minors' data · Sensitive communication

Request a demo for this sector See related demo

Franchises

Franchisor or network lead

Example scenario

Type of data

• Sales by location
• Operating standards
• Network reporting

Possible value

• Multi-site consolidation
• Comparison across locations
• Coverage maps

Applicable capabilities

Data organised and ready to useAnalysis and executive reportsLocation-based analysis

First step: AI Sprint

Agreement with the franchisor · Heterogeneous data across locations

Request a demo for this sector See related demo

HR / recruitment

HR team or recruitment consultancy

Example scenario

Type of data

• Anonymised CVs
• Job descriptions
• Onboarding documents

Possible value

• Assisted CV triage (with human review)
• Onboarding FAQ
• Copilot over internal policies

Applicable capabilities

Document extractionA copilot for your documentationGenerative AI with method

Related demo: Private Document Copilot

First step: Contact

Bias in recruitment — human review required · Employment-law framework · Does not replace the hiring decision

Request a demo for this sector See related demo

Roadmap

Upcoming demos on request

Three capabilities we can prototype when there's concrete interest. The rest of the catalogue is designed case by case.

Inbox / Ticket Triage
Support inboxes, tickets or queries with no shared prioritisation.
Workflow Automation Planner
Manual steps between tools with no clear automation map.
Predictive Analytics / Lead Scoring
Prioritising opportunities with no consistent criteria or unified data.

More roadmap demos available on request — contact us.

Design a tailored demo or start with an AI Sprint

Demos open the conversation; the AI Sprint turns it into a prioritised map.

1. Explore a demo
A fictional flow with visible human review.
2. AI Sprint
Assessment and opportunity map.
3. Contact
A tailored demo or pilot only if it fits.

Discuss your situation See the AI Sprint