Who this is for

This service is for manufacturers that have data in ERP, spreadsheets, machines, quality systems, or shared folders but lack a trusted decision view. It supports leaders who want better visibility before choosing a platform, dashboard, or automation investment.

• Operations and finance teams reconciling different versions of the same KPI.
• Plants that need a role-based manufacturing KPI dashboard for daily or weekly decisions.
• Teams exploring practical AI or workflow automation with clear human ownership.
• Leaders who want to improve data habits without launching an oversized transformation.

Signs you need it

• Reports take too long to assemble and still prompt basic data questions.
• Definitions for output, downtime, quality, inventory, or service vary by team.
• Important exceptions are buried in email, spreadsheets, or manual checks.
• AI ideas are discussed before the process, data, risk, or owner is clear.

What you get

• A decision and KPI map tied to roles, meetings, actions, and business questions.
• A source and definition inventory covering data owners, refresh needs, quality gaps, and access considerations.
• A dashboard or reporting prototype that emphasizes useful signals over decorative charts.
• A shortlist of low-risk workflow or AI automation opportunities with human review points.
• An implementation backlog with sequence, ownership, validation checks, and the next sensible technical step.

How it works

1. Frame the decisions. We identify the people, meetings, questions, and exceptions the data should support.
2. Audit the inputs. In week one, we review sources, definitions, refresh patterns, permissions, and known quality issues.
3. Prototype. During weeks two and three, we design a dashboard view or workflow prototype and review it with users.
4. Plan adoption. We document ownership, validation, change needs, and a practical next release. A focused engagement is typically three to five weeks.

Typical outcomes

Goals include faster access to a shared KPI view, clearer metric ownership, better exception conversations, and a more responsible path for BI or AI automation. No dashboard guarantees a business result; value depends on data quality, user adoption, process discipline, and the decisions made from the information.

Frequently asked questions

Do you replace our ERP or BI platform?

No. We start with decisions and data reality, then help define the smallest useful improvement and platform requirements if a change is justified.

Can you work with spreadsheets?

Yes. Spreadsheets can be a useful starting point when their definitions, ownership, and refresh expectations are explicit.

Is AI required?

No. We consider AI only where it solves a defined problem and can be governed; a simpler report or workflow may be the better choice.

What makes a KPI dashboard useful?

It connects trusted definitions to a role, decision, cadence, and action rather than presenting every available measure.

How long does a prototype take?

A focused prototype and adoption plan is typically three to five weeks after scope, access, and users are confirmed.

Related services

Use insights to support lean manufacturing OEE improvement, inventory optimization and S&OP, or fixed-price manufacturing packages.