Works · Data & AI Diagnostic
HOCUS surveys your terrain
before AI.
Every data source is a lake, every AI idea a village to reach. We survey your territory, probe the sources, spot the marshes and the reefs, then draw the network that leads to the decision. You leave with a map, a line plan and a plan of action.
- Maturity on seven axes, with no decorative score
- The data available, and the data that is usable
- Use cases ranked: quick win, project, no-go
- The trajectory 90 days, then 12 to 18 months
01 / Demonstration
From territory to network.
A sample company, fictitious data. Pick a sector, then follow the diagnostic in seven steps: the map of your terrain is surveyed, then straightened into a line plan. Every lake, village and station can be hovered and clicked.
02 / The survey legend
A map to see,
a plan to act.
The map shows the terrain as it is, with its marshes and reefs. The line plan shows what is built on it, and in what order. Every sign refers to a reality of your information system.
- A lake
- A data source: ERP, CRM, tills, files, APIs.
- A lake’s ring
- Its measured quality: verdigris reliable, brass partial, terracotta blocking.
- The reefs
- Duplicates: two customers who are really one distort every measurement.
- The seven-point rose
- The seven maturity axes. A short branch is a prerequisite.
- A village
- A use case: a decision or task that data can improve.
- A line
- A use case in production, with the sources it serves.
- The interchange
- The shared entity foundation (customer, product, contract) where every line crosses.
- The circle line
- The Governance River, straightened: quality, rights, security and monitoring, around the foundation.
- A station under construction
- A prerequisite to clear before opening the line, with its date.
- A line not opened
- A reasoned no-go: not now, and we know why.
03 / In the field
Observe first,
prescribe second.
1. ObserveThe stakes, the pain points, the decisions that are stuck.
2. UnderstandEach source, its owner, its history, its rights.
3. ModelThe entities, the links, the gaps between what exists and the target.
4. BuildThe line plan, station by station, control by control.
5. Reveal the impactThree decisions, argued, presented to those who decide.
04 / What you get
From ambition
to plan of action.
An explicit chain: business stake, data evidence, use case, trade-off, architecture, roadmap. Each step can be discussed separately, and each recommendation points to its evidence.
- The terrain mapYour sources, their owners, their quality, their rights and their breaks, in a single document.
- The maturity roseSeven axes assessed, with the prerequisites they reveal.
- The use-case registerValue, feasibility, risks, dependencies, adoption: go, project or no-go.
- The line planThe target architecture: entity foundation, responsibilities, controls and monitoring.
- The plan of actionThe actions of the first 90 days, then the 12–18 month trajectory.
- The evidence fileFor each finding: source, scope, period, confidence level and limit.
Who is it for? Executive teams, business units, IT departments and data teams with drawers full of AI ideas who want to know which ones will hold, with which data and in what order. Before an AI project, a tender, a data overhaul or a strategic plan.
Entrust your terrain
to HOCUS.
A list of your AI ideas, access to your main sources and two hours with the people who decide are enough to start. We come back with the map, the line plan and the first three decisions, each with its evidence.
One way · 1st classPort of Stakes → Mount DecisionStart the diagnostic ↗HOCUS does no magic: we observe, ask the right questions and show what matters. The wand is mostly for pointing, on the map, at the place you should not go.