Use cases

Where AI pays off first

A sample of the AI systems we design and ship, by team and industry. Each one starts with a clear business goal and a measurable target.

Use cases

E-commerceSupport

Always-on support agent

Challenge: ticket volume triples during sales and holidays.

Solution: an AI agent that tracks orders, processes returns and issues refunds across chat and email.

B2B SaaSSales

Inbound lead qualification

Challenge: hot leads wait hours for a reply while reps triage the inbox.

Solution: agents that enrich, score and route every lead and book meetings automatically.

FinanceBack office

Accounts-payable autopilot

Challenge: thousands of invoices keyed in by hand every month.

Solution: document AI that extracts, three-way matches and posts invoices to the ERP.

HealthcareClinical

Clinical documentation assistant

Challenge: clinicians spend evenings writing notes instead of seeing patients.

Solution: ambient AI that drafts structured notes from consultations for review and sign-off.

HealthcareVoice

Patient booking voice agent

Challenge: phone lines overflow every morning and after-hours calls go unanswered.

Solution: a voice agent that books, reschedules and sends reminders around the clock.

RetailConversion

Product discovery copilot

Challenge: shoppers bounce when filters can’t answer “what should I buy?”.

Solution: a conversational shopping assistant grounded in your catalogue and reviews.

LegalDocuments

Contract review assistant

Challenge: every vendor contract waits in a queue for first-pass legal review.

Solution: AI that compares contracts to your playbook, flags risk and drafts redlines.

EnablementKnowledge

Sales & support knowledge base

Challenge: answers are scattered across decks, wikis, tickets and Slack threads.

Solution: a permission-aware assistant that answers instantly with sources, inside Slack.

Supply chainForecasting

Demand forecasting

Challenge: spreadsheets can’t keep up with seasonality, promotions and new SKUs.

Solution: ML forecasts by SKU and location, with explanations planners trust.

FintechRisk

Fraud & anomaly detection

Challenge: rules-based checks miss new fraud patterns and flood analysts with false alarms.

Solution: real-time scoring models plus an AI analyst that explains every alert.

HR & ITInternal

Employee helpdesk copilot

Challenge: HR and IT teams answer the same questions every single day.

Solution: a copilot in Slack or Teams that answers, resets, provisions and escalates.

MarketingContent

Personalised outreach engine

Challenge: generic sequences get ignored, but personal ones don’t scale.

Solution: agents that research each account and draft on-brand outreach for rep approval.

Pilot to production

Prove the value before you scale

Every use case starts as a tightly scoped pilot with success criteria agreed up front.

STEP 01

Pick the target

We agree on one workflow, one metric and one owner. No sprawling “AI transformation” decks.

STEP 02

Pilot on real data

A working system on your data, with a small group of real users, measured against the baseline.

STEP 03

Scale what works

Hit the target and we harden, integrate and roll out. Miss it and you’ll know why, fast and cheap.

Don’t see yours?

Let’s find your highest-ROI use case

In a free 30-minute call we’ll map where AI can save the most time and money in your business.