Our work.

These demonstrations show the kind of dashboards and AI workflows we deliver. They use synthetic data and are not client projects; figures shown are not client results.

Client case studies will be added here once clients approve them for publication.

Demonstration, synthetic data

Business Performance Dashboard

The problem
Leaders wait for month-end packs assembled by hand from several systems.
What we built
A governed sales and finance model with a one-page dashboard: revenue against target, margin, orders, cash collection and regional mix.
Typical stack
Microsoft Fabric, Power BI semantic model, row-level security
What it shows
How we design a dashboard to be read quickly, with targets, trends and exceptions visible at a glance.
Business performanceSales and finance modelDemonstration, synthetic data

Business performance

Sales and finance model, fiscal year, revenue in US dollars

Region
$8.91M
Revenue
+4.6% vs. target
41.5%
Gross margin
+1.0 pts vs. last year
12,340
Orders
+3.5% vs. last year
48 days
Days sales outstanding
+3 days vs. 45-day target

Revenue and target by month

RevenueTarget
$0K$250K$500K$750K$1.00MJanFebMarAprMayJunJulAugSepOctNovDec

Revenue by region

North America 34%UK & Ireland 22%Europe 26%Middle East 18%
$8.91MTotal

Product lines

Product lineRevenuevs. targetGross margin
Subscriptions$3.37M +4.7%51.6%
Professional services$2.41M −2.5%33.8%
Hardware$1.87M +1.7%22.1%
Support plans$1.26M +7.9%57.6%
Total$8.91M+2.4%41.5%

Days sales outstanding

Target 4548days070
Monthly revenue and target
MonthRevenueTarget
Jan$615K$600K
Feb$584K$620K
Mar$649K$640K
Apr$716K$660K
May$696K$680K
Jun$734K$700K
Jul$785K$720K
Aug$748K$740K
Sep$817K$760K
Oct$858K$780K
Nov$823K$800K
Dec$886K$820K
Demonstration report with synthetic data. Cards show revenue against target, gross margin, orders and days sales outstanding. Charts show monthly revenue against target, revenue share by region, product-line performance and a days-sales-outstanding gauge. Use the region buttons to filter the report.
Demonstration, synthetic data

AI Inquiry-to-CRM Workflow

The problem
Inquiries sit in inboxes and are logged in the CRM inconsistently, if at all.
What we built
An agentic workflow that classifies each inquiry, adds company context, drafts the CRM record and acknowledgement, then waits for a sales lead to approve.
Typical stack
Azure OpenAI, Power Automate or custom workflow, CRM API
What it shows
Where AI does the preparation and where a person approves consequential actions.
Inquiry to CRMDemonstration, synthetic inquiry
Waiting for approvalTrigger: website form
  1. Inquiry receivedWebsite contact formDone 0.2s
  2. AI reads and classifiesService, region, urgencyDone 1.8s
  3. Company details addedFrom public company informationDone 2.4s
  4. CRM record draftedLead, contact and summaryDone 3.1s
  5. Sales lead reviewsApprove, edit or rejectNeeds approval
  6. Lead created and owner assignedOnly after approvalQueued
  7. Acknowledgement sentUsing your approved templateQueued
Nothing is created in the CRM or sent to the prospect until a person approves.
Demonstration, synthetic data

Marketing Performance Dashboard

The problem
Marketing reports show clicks and visits but not which channels produce qualified leads.
What we built
Consent-aware tracking connected to CRM outcomes, with spend, inquiries and qualified leads by channel.
Typical stack
Google Analytics 4, ad platform data, CRM data, Power BI
What it shows
How marketing data and CRM outcomes are joined so budget decisions follow pipeline.
Marketing performanceMarketing and CRM modelDemonstration, synthetic data

Marketing performance

Website, advertising and CRM data joined by campaign

Quarter
48,210
Website sessions
+12% vs. Q2
340
Inquiries
+14% vs. Q2
155
Qualified leads
+14% vs. Q2
$522
Cost per qualified lead (paid)
−1% vs. Q2

Inquiries by week

010203040W1W3W5W7W9W11W13

Lead funnel

Inquiries340Qualified leads155Opportunities69Won26

Qualified leads by channel

Organic search61Paid search38LinkedIn ads22Email nurture19Referral15

Channel detail

ChannelSpendInquiriesQualifiedCost per qualified
Organic search—14261—
Paid search$18,4009638$484
LinkedIn ads$12,9004122$586
Email nurture—3719—
Referral—2415—
Total$31,300340155
Demonstration report with synthetic data. Cards show sessions, inquiries, qualified leads and cost per qualified lead. Charts show weekly inquiries, the lead funnel, qualified leads by channel and a channel table. Use the quarter buttons, or select a channel bar, to filter the report.

Client case studies

We publish case studies only with written client approval, using verified and dated results.

Client case studies will appear here once clients approve them for publication.