Data & AI
The tooling underneath, when off-the-shelf doesn't fit
We build software. comrAD and Spine are ours. Sometimes the right answer for a client is something built for them.
Most marketing problems are not tooling problems. Some are.
Most of what gets pitched as an AI project is a process problem with a model bolted on, and it does not survive contact with the operations team.
The ones worth building are narrow, measurable, and sit on top of data you already have. We start by working out which kind you have.
The work itself
What a month on the account looks like.
AI strategy and opportunity mapping
Diagnostic, opportunity matrix and a prioritised roadmap — scoped to marketing and operations, not to an open-ended transformation.
Custom AI builds
Document processing, agentic workflows, internal copilots and retrieval over company knowledge.
Operations automation
CRM, dashboard, approval and data-sync workflows.
Marketing-adjacent tooling
Attribution and reporting infrastructure, creative pipelines, and lead-scoring and call-scoring models.
AI enablement
Training for in-house marketing teams on the tools they will actually use.
Deliverables and cadence
- Diagnostic report and opportunity matrix
- Prioritised build roadmap
- Working software, shipped in two-week sprints
- Handover documentation and team training
What we report against
Not impressions. These are the figures that decide whether the spend paid for itself.
- Hours returned per week
- Process cycle time
- Error rate
- Adoption rate
- Cost per processed item
Asked before signing
Diagnose (one to two weeks) → Design (one to two weeks) → Deploy (four to twelve weeks in two-week sprints) → Scale. Eight to sixteen weeks from diagnostic to working software. The stages exist so you can stop after Diagnose if there is nothing here worth building.
Thirty minutes on your account. No deck.
We'll look at what you're running and come back with two or three specific things we'd change — whether or not you work with us.