Finance
Invoices matched, checked and booked.
- Invoice & receipt extraction
- PO matching and anomaly flags
- Cash-flow forecasting
Applied AI
AI that knows
your business.
Not a chatbot bolted on. Intelligence built into the processes that run your company.
Ask Stride AI
“Which orders are at risk of shipping late this week?”
Most AI pilots never pay off.1 Not because the models are weak, but because they were never wired into how the work gets done.
Use cases
AI for every team.
Sales
Every lead followed up. Every quote faster.
- Lead scoring and research
- Quote and proposal drafting
- CRM notes written for you
Operations
Plans that adapt as the day changes.
- Demand and capacity forecasting
- Scheduling and routing
- Quality inspection from images
Customer service
Faster answers. Happier customers.
- Ticket triage and routing
- Suggested replies with sources
- Multilingual support
People & HR
Less admin. More time for people.
- Policy and onboarding assistant
- CV screening support
- Internal knowledge search
Leadership
Ask your business a question.
- Natural-language reporting
- Weekly performance briefings
- Scenario modelling
Where AI belongs
Not everything needs AI.
We use four questions to decide whether a step in your process should use AI, simple automation, or stay with a person.
Question 1
Is the work repetitive, but messy?
Unstructured inputs — emails, PDFs, photos, conversations — are where AI shines. Clean, predictable data usually needs simple rules instead.
Question 2
Is the data there?
AI is only as good as what it can see. We check access, quality and volume before we promise anything.
Question 3
What does a mistake cost?
Low-risk steps can run on their own. High-stakes decisions keep a human approving every output.
Question 4
Can we measure it?
If we can’t baseline it, we can’t prove it worked. Every AI feature ships with a metric.
Production-grade
Built for Monday morning,
not the demo.
A pilot proves something can work. Production proves it works every day, at scale, when the data is messy and nobody from the project is watching.
- Evaluation suites tested on your real cases
- Human-in-the-loop review where it matters
- Monitoring for accuracy, drift and cost
- Fallbacks when a model is unsure
- Model-independent architecture — no lock-in
- Integrated with your existing systems
Responsible AI
Your data. Your rules.
Privacy, security and regulation are designed in from the start — wherever your business operates.
Privacy first
Data minimisation, encryption and hosting in the region you choose.
Regulation ready
Risk classification, documentation and transparency aligned with GDPR, the EU AI Act and local laws.
Humans in control
Clear oversight, audit trails and the ability to override any automated decision.
Find where AI pays off.
Our Discovery Sprint identifies the processes where AI will make a measurable difference — and the ones where it won’t.