One accountable expert. A system that does not depend on one person.
Your dedicated expert meets with you every week, builds and maintains the business-context layer, and owns consequential judgment. Definitions, decisions, Tasks, evidence, and work history stay in the shared system.
The record of all of it lives in the shared system — not in that person’s memory.
Concrete, not “human in the loop”.
Learns the domain
Your goals, definitions, priorities, and edge cases — the things nobody wrote down.
Builds the foundation
Connects and cleans data, creates and maintains metrics, dimensions, definitions, transformations, and context.
Resolves ambiguity
Reviews consequential AI work and makes the judgment call when software should not guess.
Finishes the job
Completes the work when the AI is blocked, and remains accountable when something changes or goes wrong.
The commercial boundary, stated before you ask.
Ordinary recovery inside the agreed foundation is not a separately charged outcome merely because AI found the gap.
Included in the monthly core
Connecting, cleaning, modelling, defining, transforming, validating, maintaining, and repairing the agreed foundation.
No expert-outcome charge
Your team can ask Poly to create permitted dashboards, analyses, pipelines, and activations. Applicable AI and data-movement usage still applies.
Separately approved
A new outcome scoped, built, reviewed, and delivered by the expert team. Applicable runtime usage may also apply.
The weekly rhythm, as an object.
Two screens showing where the relationship actually lives.
The knowledge does not leave when the person does.
This is the honest answer to the obvious risk: what happens if our expert changes?
One consistent modelling grammar means another qualified Polyform expert can continue from the operating record rather than starting an archaeology project.
Ask what your expert would own in week one.
Bring the foundation you are worried about and we will tell you what maintaining it actually involves.
Book a working session