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Solutions

Start with the AI question your leadership cannot answer

Every organization arrives at enterprise AI intelligence from a different direction — a renewal nobody can justify, adoption that flattened out, or a portfolio nobody can fully list. Each solution below starts from one of those questions and shows how Midgentic answers it.

No credit card required. Guided setup included.

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Five ways enterprises use Midgentic

These are not separate products. They are five entry points into the same intelligence layer, so progress on one improves the others — better adoption data makes spend analysis sharper, and both make the ROI picture defensible.

What AI do we actually have, and who is using it?

Enterprise AI Visibility

Bring the AI tools, agents, teams, and usage scattered across the organization into one centralized view, with the source of every number labeled.

  • — AI inventory across vendors
  • — Usage by team and department
  • — Coverage gaps in the portfolio
Is adoption improving, and where is it stalling?

AI Adoption Analytics

Measure who genuinely uses AI rather than who holds a license, compare teams on consistent definitions, and see where enablement is working.

  • — Active users and adoption rate
  • — Usage trend over time
  • — Team and department comparison
What is AI really costing us?

AI Spend Intelligence

See contracted license commitments and consumption-based API spend together, then read that spend against the utilization behind it.

  • — License and API spend in one place
  • — Spend by provider and currency
  • — Inactive license exposure
Is our AI investment producing value?

Enterprise AI ROI

Combine adoption, spend, and business impact into a value picture that separates documented estimates from measured outcomes.

  • — Investment against value
  • — Estimated and measured value kept apart
  • — Cost per active user
What AI is running outside our visibility?

Shadow AI

Narrow the distance between the AI your organization has approved and the AI it actually runs, by making the known portfolio complete and current.

  • — Fragmented spend and duplicate tools
  • — Incomplete AI inventory
  • — Governance blind spots
The category

How these solutions fit together

All five sit inside a single category: enterprise AI intelligence— the visibility and decision layer over the AI systems running across a business. Visibility establishes what exists. Adoption analytics explain how it is used. Spend intelligence explains what it costs. ROI connects the two into value. Shadow AI is what remains when the picture is incomplete.

Organizations usually start with whichever gap is most expensive right now and expand from there. There is no required order, and no separate purchase for each one.

Answer the question in your own data

Create a workspace, connect your first AI systems, and see adoption, spend, governance, and value in one place.

Self-service signup. No demo required, no credit card, no sales gate.