We build the layer between your tools.
Your business already owns most of what it needs: the systems, the data, and the AI subscriptions. What's missing is the layer that connects them so work moves on its own. That's what we build.
The layer, explained
Systems in. Outcomes out.
- Reservations and orders
- Point of sale
- CRM and sales
- Finance and payroll
- Scheduling
- Spreadsheets and email
- AI subscriptions
- Daily briefs
- Automations with approval
- Flags with reasons
- One view of the business
In practice the layer is a set of secure connections into the systems you already run, a shared place where their data meets, and AI that reads from it, writes back to it, and asks a person before it does anything that matters.
We start from what you own because it's faster, cheaper, and safer than replacing anything. If a system genuinely needs to go, the audit will say so, with the numbers.
Four capabilities
AI & automation
AI that works inside your processes, not beside them.
Custom copilots for a specific internal workflow, AI built into the products and tools you already use, automated handling of documents and routine decisions, and forecasting on your operational data.
Typical work
- Internal copilots for support, operations, or finance teams
- Document and workflow automation with human approval
- AI features inside an existing product or portal
- Forecasting and anomaly detection on operational data
Stack
Python, Azure AI services, Microsoft Power Platform
Cloud & data engineering
The pipes underneath everything else.
A warehouse and pipelines built to hold up at the volume your systems actually produce, so every report and every automation reads from the same clean data.
Typical work
- Cloud data warehouse builds
- ETL pipeline design and migration
- SQL and NoSQL schema architecture
- Legacy data platform modernization
Stack
Azure, AWS, GCP; SQL and NoSQL databases
Analytics & BI
The numbers a leader sees are the numbers the business runs on.
Executive and operational reporting wired directly to the warehouse, so a Monday review and the engineering team are looking at the same figures.
Typical work
- Executive dashboards
- Operational reporting
- Real-time views for operations and leadership
Stack
Power BI, connected to your warehouse
Full-stack development
The product or tool that doesn't exist yet.
SaaS applications, internal tools, and the integrations that tie them into the rest of your stack, from first working build to production hardening.
Typical work
- New SaaS products
- Custom API integrations
- Internal tooling
- Application modernization
Stack
React, Node.js
The first engagement
The AI Opportunity Audit.
Two to three weeks, inside your business, ending with a plan you can act on with or without us.
What we look at
- Every system you run and how data moves between them
- Where work is still done by hand, re-keyed, or chased by phone
- Where your people are already using personal AI to cope
- What's worth automating first, and what isn't
What you get on the last day
- A map of your systems and processes
- A ranked list of automations, each with the effort it takes and what it saves
- A recommended pilot
- A 90-day plan
Yours to keep, with or without us.
The audit is priced for your business and quoted on the first call.
Ready to see where the time and money are?
What happens next
- We reply within one business day.
- A 30-minute call.
- If it's a fit, an audit proposal within a week.