The aicorn approach
Most AI projects fail for one reason: they bolt a tool onto a broken flow of information. We fix the flow. Six steps, with assurance running through every one, like the rings of an oak.
The six steps
Capture: better information, first time.
Smart forms, simple upload links, friendly automated reminders and instant answers, so what comes in is accurate and complete. Information is checked as it arrives. See: Customer & Staff Experience.
Connect: every system, AI-ready.
Your software, old and new, linked together and made available to modern AI tools. Data entered once, current everywhere. See: Legacy & Integration.
Automate: take away the busywork.
Data entry, document processing, chasing, filing and routine checks, done automatically, with approval for anything important. See: Workflow Automation.
Surface: see what matters.
Summaries and exception reports that show the handful of items needing attention, with the context already gathered. See: Reporting & Insight.
Understand: insight you can act on.
AI that spots trends, risks and opportunities in current data, and explains them in plain English with links back to the source. See: Reporting & Insight.
Empower: tools that fit your people.
Custom tools, plus the training, templates and guardrails for staff to build their own safely. See: Custom Tools and Training & AI Policy.
Assure: at every step.
An audit trail, detailed logging, checks at every stage, people in control of what matters, and a private AI option for sensitive data. See: Trust & Compliance.
How a project runs
AI MOT (discover and prioritise)
We follow your information and systems from start to finish, then score every opportunity by value, risk and ease. You get a roadmap and a fixed quote for the first step.
Quick win (build and test)
We build in short stages, with logging and checks designed in from the start. Then we run it alongside your existing process with real data until it’s accurate enough to trust.
Grow (embed and measure)
We train your team, document everything and hand over. We track hours saved, data quality, error rates and turnaround, and report the results honestly. Then we pick the next opportunity.
Our principles
- Good data in. Fix the start of the process.
- Accountable by design. We log everything and build checks in, not bolt them on.
- No system left behind. Connect before you replace.
- Exceptions, not everything. People’s time goes where judgement is needed.
- Humans in the loop. AI prepares, and people decide.
- Private where it matters. Sensitive data stays as close to home as it needs to.
- Empower, don’t create dependency. Your team should be able to run what we build.
- No lock-in. You own it.
Find out where AI fits in your business
Tell us how information flows through your business, and we’ll point out two or three places where AI could make an immediate difference.