Data, Machine Learning & AI
We find your one source of truth by starting with the questions leaders need answered and working our way to the source of where this data comes from. We then align people, processes and systems to make those answers reliable. That means cleaning the data that matters, creating simple live views, and implementing small, safe ML and AI workflows where they add clear value. You get working improvements, not slide decks, so teams decide faster and do more with less.
Data foundations
Sources mapped, definitions agreed, and one source of truth for key fields.
Analytics and live reporting
Dashboards that answer the few questions leaders ask every week.
Machine learning experiments
Small, well-scoped pilots that prove lift before wider use.
What’s included
This is hands-on change, not report packs. We work with action-based and task-oriented teams to make the work simpler and more consistent.
Shared understanding
- What decisions do we need to support, and how often.
- Inventory of the data that exists today and who owns it.
- Agreed boundaries and challenges together with named owners for each step.
Data and tools aligned
- Sources connected and documented with minimal movement of data.
- Simple data model for the priority use cases.
- Quality checks for freshness, completeness and duplicates.
Insights your teams can use
- Live views for revenue, pipeline and operations, with simple ways to see the details behind each number.
- Operating notes so people know what each chart means and what to do next.
ML and AI implemented where it helps
- Bespoke implementations for forecasting, scoring or routing with a baseline and a target.
- AI assistants for document generation, extraction and summarising with human-in-the-loop.
- Implemented safely and securely in your tech stack.
Check ins
- Short Q&A sessions to remove blockers and refine.
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Support guide for alerts, quick sort, small fixes and who to call.
Learn about process automation and integration
Clear thinking on operations, systems, and scale. We share practical content drawn from real work with real teams, offering frameworks, comparisons, and guidance you can use.
How the process works
Discover
Short interviews plus a focus-group to define decisions, data and owners.
Design
Agree definitions, connect sources, choose the first use cases, set targets..
Deliver
Simple live views, implement ML or AI where it helps, add safety controls, start check-ins.
Common questions we’re asked
Do we need a new data platform?
Not usually. We connect what you have and keep movement of data minimal. If a change is needed, we explain the trade-offs and give options.
How do you manage safety and privacy?
Least-privilege access, clear retention rules and usage logs. We document what moves, where and why.
What about model accuracy and AI errors?
We baseline first, then measure lift. Human review is in the loop for critical steps, and every workflow has steps to undo the changes.
How long does this take?
Simple flows can go live in weeks. Larger changes are phased. Timelines are agreed after discovery.
Which tools do you work with?
We are vendor-agnostic. We use common analytics, CRM, finance and workflow tools, with AI and ML added where it supports the process.