What we build
- --Intelligent ticket triage and auto-resolution systems
- --AI-powered knowledge base with real-time update capability
- --Escalation routing with pre-populated context for the support agent
- --Multi-channel coverage: email, chat, in-app
Not a list of tools. Not a buzzword glossary. Real systems, organised by the type of problem you're trying to solve. Find your situation and see what's been built for businesses in exactly the same position.
We've applied AI to 50+ business problems. These are the categories where we see the most consistent, measurable impact.
Most support queues are 60–70% tier-1 queries -- password resets, billing questions, feature how-tos -- that follow predictable patterns and require no human judgement. AI handles these end-to-end. What's left for your team is the work that actually needs them.
Businesses with 500+ tickets/week and a repeating pattern in tier-1 queries
How we cut support volume 60% for a SaaS platformE-commerce businesses are sitting on purchase history, browse behaviour, and session data that most of them never fully use. AI turns that data into personalised product and content experiences that convert at a measurably higher rate -- without increasing ad spend.
E-commerce businesses with 12+ months of transaction data and returning customers
How we delivered +35% conversion for an e-commerce businessOperations work -- data entry, report generation, approval routing, document processing, scheduling -- follows rules. Rules can be automated. The question isn't whether it's possible; it's which processes are worth automating first, and in what order they compound.
Businesses where staff spend 30%+ of their week on repeatable, rules-based tasks
Standard reporting -- weekly dashboards, client reports, performance summaries -- is valuable. The manual process of generating it is not. AI handles the data pull, the formatting, the distribution, and the anomaly detection. Your analysts focus on what the numbers mean and what to do about them.
Teams running 10+ regular reports and spending more than 20% of analyst time on report generation
How we gave a SaaS analytics team 12 hours back per weekAccounting firms, law firms, financial advisers, and construction businesses process enormous volumes of documents -- contracts, invoices, applications, compliance forms. Reading, classifying, extracting data from, and routing these documents is skilled but time-consuming work. AI handles the routine volume. Your team handles the judgement calls.
Professional services businesses processing 50+ structured documents per week
Growing businesses accumulate knowledge in the heads of their longest-serving people. When those people are unavailable -- or when they leave -- that knowledge walks out with them. AI knowledge systems capture, organise, and make that expertise accessible to the whole team in real time.
Businesses growing headcount and experiencing knowledge transfer friction
Industry-specific pages coming soon. In the meantime, book a call and we'll walk through what we'd target first in your sector.
Accounting, legal, financial advice
Document processing, client intake, compliance, reporting
Document review, compliance flagging, reporting automation, client servicing
Recommendations, personalisation, inventory, customer retention
Intake, scheduling, compliance documentation, care coordination
Scheduling, route optimisation, exception handling, reporting
Some businesses come to us knowing exactly what they want to automate. Most don't. That's fine -- finding the right starting point is exactly what the Discovery Sprint is for. We scope the problem, assess the opportunity, and give you an honest recommendation on whether AI is the right answer.